CN114707941A - Biological product transportation management method and system - Google Patents
Biological product transportation management method and system Download PDFInfo
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Abstract
The invention provides a biological product transportation management method and a system, which relate to the related technical field of artificial intelligence, and are used for acquiring basic data information and transportation demand information by acquiring biological product transportation information; determining the transportation and storage standard of the biological product by analyzing the basic data information; determining a plurality of transportation schemes by combining transportation storage standards and transportation demand information; carrying out global optimization on the plurality of transportation schemes to determine an optimal transportation scheme; and acquiring a minimum cut set of each transportation risk accident by using an accident tree method, monitoring the transportation process in real time, performing risk early warning according to a real-time monitoring result and the minimum cut set, and further performing transportation management on the biological product according to the risk early warning. The technical effects of optimizing the biological product transportation scheme, enabling the biological products to accord with storage conditions in the transportation process, reducing transportation cost, and reasonably allocating transportation capacity to meet the business operation work requirements of enterprises are achieved.
Description
Technical Field
The invention relates to the technical field related to artificial intelligence, in particular to a biological product transportation management method and system.
Background
The biological product is prepared by using microorganisms, cells, animal or human tissues, body fluids and the like as raw materials and applying the traditional technology or the modern biotechnology, and is used for preventing, treating and diagnosing human diseases. Biological products for prevention, biological products for treatment and biological products for diagnosis can be classified according to their uses. The science is rapidly advanced, so that the biological products are not limited to the prevention, treatment and diagnosis of infectious diseases, but are expanded to the fields of non-infectious diseases, such as cardiovascular diseases, tumors and the like, and even break through the scope of immune products.
The preparation is prepared directly or by modern biotechnology and chemical method by using microorganisms (bacteria, bacteriophage, rickettsia, virus, etc.), microbial metabolites, parasites, animal toxins, blood or tissues of human or animal, etc., and is used as preparation for preventing, treating and diagnosing specific infectious diseases or other related diseases, which is generally called biological product. Based on the particularity of biological products, the biological products have special requirements on temperature, light, environment and the like, so that the transportation of the biological products has special requirements, and no matter what transportation means is adopted, the situations of high temperature, insolation, freeze thawing, repeated freezing and thawing of the biological products caused by temperature fluctuation and the like need to be prevented.
As described above, in the prior art, the transportation of biological products is still the focus of research aiming at the particularity of biological products, and how to ensure the safety, timeliness, accuracy and economy of biological products in the transportation process is still a technical problem which needs to be solved at present.
Disclosure of Invention
The application provides a biological product transportation management method and system, which are used for solving the technical problems of how to ensure the safety, timeliness, accuracy and economy of biological products in the transportation process, and achieving the purposes of optimizing the biological product transportation scheme, so that the biological products accord with storage conditions in the transportation process, the transportation cost is reduced, and the transportation capacity is reasonably allocated to meet the technical effect of business operation work requirements of enterprises.
In view of the above, the present application provides a biological product transportation management method and system.
In a first aspect, an embodiment of the present application provides a biological product transportation management method, where the method is applied to a biological product transportation management system, where the system includes an information acquisition module, an information analysis module, a transportation decision module, a transportation monitoring module, and a risk early warning module, and the method includes: collecting biological product transportation information through an information collection module, wherein the biological product transportation information comprises basic data information and transportation demand information of a biological product; receiving the basic data information of the biological product through an information analysis module, and analyzing and determining the transportation and storage standard of the biological product; analyzing and determining a transportation scheme set by a transportation decision module in combination with the transportation storage standard and the transportation demand information, wherein the transportation scheme set comprises a plurality of transportation schemes; globally optimizing the plurality of transportation schemes, determining an optimal transportation scheme, and transporting the biological product according to the optimal transportation scheme; establishing a transportation risk accident set of the biological products based on big data, and sequentially analyzing a minimum cut set of each transportation risk accident in the transportation risk accident set by using an accident tree method to form a minimum cut set; monitoring the transportation process of the biological product in real time through a transportation monitoring module to obtain a real-time transportation data set; and synchronously receiving the real-time transportation data set through a risk early warning module, carrying out risk early warning by combining the minimum cut set, and further carrying out transportation management on the biological products according to the risk early warning.
In a second aspect, embodiments of the present application provide a biological product transportation management system, including: the information acquisition module is used for acquiring biological product transportation information through the information acquisition module, wherein the biological product transportation information comprises basic data information and transportation demand information of a biological product; the information analysis module is used for receiving the basic data information of the biological product through the information analysis module and analyzing and determining the transportation and storage standard of the biological product; a transport decision module, the transport decision module comprising: a first transportation decision module, configured to combine the transportation storage criteria and the transportation demand information, and analyze and determine a transportation scheme set through the transportation decision module, where the transportation scheme set includes a plurality of transportation schemes; a second transportation decision module for global optimization of the plurality of transportation solutions, determining an optimal transportation solution, and transporting the bioproduct according to the optimal transportation solution; the third transportation decision module is used for establishing a transportation risk accident set of the biological product based on big data, and analyzing the minimum cut sets of all the transportation risk accidents in the transportation risk accident set in sequence by utilizing an accident tree method to form a minimum cut set; the transportation monitoring module is used for monitoring the transportation process of the biological product in real time through the transportation monitoring module to obtain a real-time transportation data set; and the risk early warning module is used for synchronously receiving the real-time transportation data set through the risk early warning module, carrying out risk early warning by combining the minimum cut set, and further carrying out the transportation management of the biological products according to the risk early warning.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the method and the system for building the typical control method modularized simulation model, the biological product transportation information is collected through the information collection module, wherein the biological product transportation information comprises basic data information and transportation demand information of a biological product; receiving the basic data information of the biological product through an information analysis module, and analyzing and determining the transportation and storage standard of the biological product; analyzing and determining a transportation scheme set by a transportation decision module in combination with the transportation storage standard and the transportation demand information, wherein the transportation scheme set comprises a plurality of transportation schemes; globally optimizing the plurality of transportation schemes, determining an optimal transportation scheme, and transporting the biological product according to the optimal transportation scheme; establishing a transportation risk accident set of the biological products based on big data, and sequentially analyzing a minimum cut set of each transportation risk accident in the transportation risk accident set by using an accident tree method to form a minimum cut set; monitoring the transportation process of the biological product in real time through a transportation monitoring module to obtain a real-time transportation data set; and synchronously receiving the real-time transportation data set through a risk early warning module, carrying out risk early warning by combining the minimal cut set, and further carrying out transportation management on the biological products according to the risk early warning. The technical problem of how to guarantee the safety, timeliness, accuracy and economy of biological products in the transportation process is solved, the transportation scheme of the biological products is optimized, the biological products meet the storage conditions in the transportation process, the transportation cost is reduced, the transportation capacity is reasonably allocated, and the technical effect of meeting the business operation work requirements of enterprises is achieved.
Drawings
FIG. 1 is a schematic flow diagram of a method for managing the transportation of biological products according to the present application;
FIG. 2 is a schematic flow chart illustrating the determination of transportation and storage criteria of a biological product in a biological product transportation management method;
FIG. 3 is a schematic flow chart illustrating the determination of an optimal transportation scheme in a biological product transportation management method according to the present application;
FIG. 4 is a schematic flow chart illustrating the determination of minimal cut set in a biological product transportation management method according to the present application;
FIG. 5 is a schematic diagram of a bioproduct transportation management system according to the present application;
description of reference numerals: the system comprises an information acquisition module 11, an information analysis module 12, a transportation decision module 13, a first transportation decision module 131, a second transportation decision module 132, a third transportation decision module 133, a transportation monitoring module 14 and a risk early warning module 15.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The application aims to optimize the biological product transportation scheme, so that the biological product meets the storage condition in the transportation process, the transportation cost is reduced, the transportation capacity is reasonably allocated, and the technical effect of meeting the business operation work requirement of enterprises is met.
Example one
As shown in fig. 1, the present application provides a biological product transportation management method, which is applied to a biological product transportation management system, the system includes an information acquisition module, an information analysis module, a transportation decision module, a transportation monitoring module, and a risk early warning module, and the method includes:
s100: collecting biological product transportation information through an information collection module, wherein the biological product transportation information comprises basic data information and transportation demand information of a biological product;
specifically, the biological products are composed of protein, fat, sugar and accounting, water, heat, oxygen, light and microorganisms can affect the activity of the biological products, most of the biological products are sensitive to temperature, transportation information of the biological products is required to be obtained in order to ensure the stability of the biological products in the transportation process and prevent the biological products from being inactivated, for example, the destination, arrival time, transportation mode, storage conditions and quantity of the biological products are information of the biological products, a data base is provided for the determination of a subsequent transportation scheme by analyzing the transportation information, and then the corresponding transportation scheme is determined.
In the embodiment of the application, the transportation information of the biological product is acquired through an information acquisition module, wherein the transportation information of the biological product comprises basic data information and transportation demand information of the biological product, the basic data information of the biological product is information such as components, arrival time limit and selectable transportation mode of the biological product to be transported, and the transportation demand information comprises information such as the number, departure place, destination, transportation time and transportation cost of the biological product to be transported; the transportation scheme is determined on the basis of the basic transportation information by obtaining the transportation information of the biological product and providing data support for the determination of the transportation scheme.
S200: receiving the basic data information of the biological product through an information analysis module, and analyzing and determining the transportation and storage standard of the biological product;
specifically, the information analysis module is in communication connection with the information acquisition module, and the information analysis module is used for receiving the information acquired by the information acquisition module and analyzing and processing the received information. In the embodiment of this application the information acquisition module transmits the basic data information of the biological product who gathers for the information analysis module, the information analysis module is right the back is received to the basic data information of biological product, confirms biological product's transportation storage standard according to biological product's basic data information, biological product's transportation storage standard includes information standards such as biological product transportation in-process storage temperature, storage humidity, storage ultraviolet intensity, reaches the affirmation to biological product transportation storage standard.
Optionally, as shown in fig. 2, an implementation manner of step S200 in the method provided in the embodiment of the present application includes:
s210: collecting the national standard, the industrial standard and the preset standard of the storage of the biological products;
s220: comprehensively analyzing and determining a conventional storage standard according to the national standard, the industrial standard and the preset standard, wherein the conventional storage standard refers to the lowest storage standard of the biological product;
s230: determining a conventional storage temperature threshold, a conventional storage humidity threshold and a conventional storage ultraviolet intensity threshold according to the conventional storage standard;
s240: setting the conventional storage temperature threshold, the conventional storage humidity threshold and the conventional storage ultraviolet intensity threshold as transportation and storage standards of the biological products.
In particular, the storage and transport of biological products requires that the corresponding biological product transport and storage standards are met, based on the specificity of the biological product. Collecting the national standard, the industrial standard and the preset standard of the storage of the biological product, wherein the preset standard can be the standard in an enterprise or the standard agreed by both partners; comprehensively determining the minimum storage standard capable of maintaining the activity of the biological product to be transported, namely a conventional storage standard according to the national standard, the industrial standard and the preset standard of the storage of the biological product; because the biological product has strong sensitivity to temperature, humidity and illumination, the temperature, humidity and ultraviolet intensity of the environment where the biological product is located seriously influence the activity of the biological product, in order to ensure the activity of the biological product to be transported and ensure the biological product to be transported to a destination safely, the conventional storage temperature threshold, the conventional storage humidity threshold and the conventional storage ultraviolet intensity threshold of the biological product are obtained according to the obtained conventional storage standard information, the conventional storage temperature threshold, the conventional storage humidity threshold and the conventional storage ultraviolet intensity threshold are set as the transportation and storage standards of the biological product, the transportation and storage standards are completed when the biological product is transported, and the biological product is ensured to meet the storage conditions in the transportation process.
Further, after obtaining the transportation and storage criteria of the biological product in step S240, the method further comprises:
s241: establishing a special component set of the biological product based on big data, and sequentially determining each storage condition of each special component in the special component set;
s242: constructing a special component database according to the one-to-one correspondence relationship between each special component and each storage condition;
s243: determining component information of the biological product according to the basic data information, and traversing the component information in the special component database;
s244: according to the traversal result, if one component in the component information belongs to the special component database, marking the component as a special component;
s245: matching storage conditions of the special components in the special component database, and adjusting the transportation storage standard according to the storage conditions.
Specifically, in order to further improve the accuracy of the transportation and storage standards of the biological product, the transportation and storage standards are adjusted by using the specific components in the biological product, taking the requirements of the specific components in the biological product on the storage conditions into full consideration.
Specifically, the big data stores the component compositions of a plurality of biological products and storage conditions corresponding to the component compositions; building a special component set of the biological product based on the big data, wherein the special components comprise sensitive components, active components and the like; finding storage conditions corresponding to the special components from big data according to the special components in the special component set, wherein one-to-one correspondence is formed between the special components and the storage conditions to form a special component database; determining component information of the biological product according to basic data information of the biological product acquired by the information acquisition module, traversing the component information of the biological product through the special component database, marking a component in the biological product as a special component if the component in the component information of the biological product is the same as the component in the special component database, matching a storage condition corresponding to the component in the special component database according to the information of the component, and adjusting the obtained transportation and storage standard according to the storage condition corresponding to the special component, so that the influence of the special component in the biological product on the transportation and storage standard is fully considered, the accuracy of the transportation and storage standard is improved, and the smooth transportation of the biological product is further ensured.
Further, after the step S245 adjusts the transportation storage standard according to the storage condition, the method further includes:
s2451: determining a transportation storage temperature threshold according to the transportation storage standard;
s2452: sequentially extracting a lower limit temperature value and an upper limit temperature value of the transportation and storage temperature threshold;
s2453: taking the lower limit temperature value as the test upper limit temperature, and carrying out a low-temperature stability test on the biological product according to a preset temperature design scheme;
s2454: taking the upper limit temperature value as a test lower limit temperature, and carrying out a high-temperature stability test on the biological product according to the preset temperature design scheme;
s2455: determining the longest stable holding time of the biological product under each test temperature condition after the cold chain is removed according to the low-temperature stability test and the high-temperature stability test;
s2456: and constructing a cold chain removal stability database according to the one-to-one correspondence relationship between the test temperature condition and the longest keeping stabilization time.
Specifically, the biological product may be transported to a sales department after production is completed, and then transported to each agent or customer enterprise by the sales department, so that the biological product may encounter links such as loading, unloading, carrying, changing transportation modes, changing packaging equipment and the like in the transportation process.
Specifically, a transportation and storage temperature threshold value of the biological product is obtained according to the determined transportation and storage standard, and a lower limit temperature value and an upper limit temperature value of the transportation and storage temperature threshold value are extracted; respectively designing high and low temperature stability tests according to the lower limit temperature value and the upper limit temperature value of the transportation and storage temperature threshold, taking the lower limit temperature value as the upper limit temperature of the low temperature stability test, and performing the low temperature stability test on the biological product according to a preset temperature design scheme, wherein the preset temperature design scheme comprises temperature gradient intervals and temperature gradient quantity; taking the upper limit temperature value as a test lower limit temperature according to the same principle, and carrying out a high-temperature stability test on the biological product according to the preset temperature design scheme; according to the results of the low-temperature stability test and the high-temperature stability test, determining the longest keeping and stabilizing time of the biological product under each test temperature condition after the cooling chain is removed, and one-to-one correspondence between each test temperature condition and the keeping and stabilizing time, and according to the one-to-one correspondence between the test temperature condition and the longest keeping and stabilizing time, constructing a cooling chain removal stability database, wherein the cooling chain removal stability database comprises the correspondence between the test temperature condition and the longest keeping and stabilizing time, so that the stability data of the biological product after the cooling chain is obtained, data support is provided for the determination of a subsequent transportation scheme, and the technical effect of optimizing the transportation scheme is achieved.
Exemplarily, assuming that the threshold of the transportation storage temperature in the embodiment of the present application is 2 ℃ to 8 ℃, the lower limit temperature value is 2 ℃ and the upper limit temperature value is 8 ℃, 2 ℃ is used as the upper limit temperature of the low-temperature stability test of the biological product, that is, 2 ℃ is the highest test temperature of the low-temperature stability test of the biological product, the low-temperature stability test is performed at intervals of a temperature gradient of 1 ℃, and 5 low-temperature stability tests with the number of temperature gradients are performed in total, so that the test temperatures of the low-temperature stability are-2 ℃, -1 ℃, 0 ℃, 1 ℃, 2 ℃, and the maximum stabilization time of the biological product at 5 temperatures of-2 ℃, -1 ℃, 0 ℃, 1 ℃, 2 ℃, and thus the low-temperature stability test of the biological product is completed; according to the same principle, 8 ℃ is taken as the lower limit temperature of the high-temperature stability test of the biological product, namely 8 ℃ is the lowest test temperature of the high-temperature stability test of the biological product, the low-temperature stability test is carried out at intervals of 1 ℃ temperature gradient, and the low-temperature stability tests with 5 temperature gradients are carried out in total, so that the test temperature of the high-temperature stability is 8 ℃, 9 ℃, 10 ℃, 11 ℃ and 12 ℃, the maximum stable time of the biological product at 5 temperatures of 8 ℃, 9 ℃, 10 ℃, 11 ℃ and 12 ℃ is obtained, and the high-temperature stability test of the biological product is finished; and constructing a cold chain removal stability database according to the test temperature condition and the corresponding longest stable maintaining time.
S300: analyzing and determining a transportation scheme set by a transportation decision module in combination with the transportation storage standard and the transportation demand information, wherein the transportation scheme set comprises a plurality of transportation schemes;
s400: globally optimizing the plurality of transportation schemes, determining an optimal transportation scheme, and transporting the biological product according to the optimal transportation scheme;
specifically, the transportation decision module is connected to the information acquisition module and the information analysis module, and the transportation decision module is configured to obtain information transmitted by the information acquisition module and the information analysis module, and analyze and determine a plurality of transportation schemes by using the obtained transportation storage criteria of the biological product and the transportation demand information to form a transportation scheme set, and further perform global optimization on the plurality of transportation schemes, preferably, the global optimization may employ a tabu search algorithm to determine an optimal transportation scheme from the plurality of transportation schemes, and transport the biological product according to the determined optimal transportation scheme.
Further, as shown in fig. 3, an implementation manner of step S400 in the method provided in the embodiment of the present application includes:
s410: determining a starting place, a target place and a target demand of transportation according to the transportation demand information;
s420: determining the transportation scheme set according to the departure place and the destination place and by combining the transportation storage standard, wherein the transportation scheme set comprises a plurality of transportation schemes;
s430: extracting any one of the plurality of transportation schemes, and taking the transportation scheme as an initial transportation scheme;
s440: calculating a composite index of the initial transportation scheme based on the target demand in combination with the cold chain removal stability database;
s450: constructing the initial transportation scheme neighborhood based on a preset neighborhood scheme, wherein the initial transportation scheme neighborhood comprises a plurality of neighborhood transportation schemes;
s460: based on the target requirement, combining the cold chain removal stability database to sequentially calculate neighborhood comprehensive indexes of the plurality of neighborhood transportation schemes to form a plurality of neighborhood comprehensive indexes;
s470: comparing the plurality of neighborhood comprehensive indexes, screening out a neighborhood transportation scheme with the optimal comprehensive index, and recording the neighborhood transportation scheme as a neighborhood optimal transportation scheme;
s480: if the neighborhood comprehensive index of the neighborhood optimal transportation scheme is better than the comprehensive index of the initial transportation scheme, replacing the initial transportation scheme with the neighborhood optimal transportation scheme;
s490: and if the iteration optimization reaches the preset iteration times, outputting the initial transportation scheme as the optimal transportation scheme.
Specifically, in the embodiment of the application, a lot of influence factors are involved in the transportation process, all the influence factors in the transportation process are comprehensively considered, and then the optimal transportation scheme is determined. Specifically, according to the transportation demand information including information such as the number of biological products to be transported, a departure place, a destination, transportation time, transportation cost and the like, determining a departure place, a target place and a target demand of biological product transportation, wherein the target demand includes the number of biological products to be transported, transportation time and transportation cost; determining the transportation scheme set according to the departure place and the target place and by combining the transportation storage standard, wherein the transportation scheme set comprises a plurality of transportation schemes; the plurality of transportation scheme sets include a transportation scheme set formed by permutation and combination of transportation modes and transportation lines, for example: the transportation method comprises the following steps of waterway transportation, railway transportation, road transportation, air transportation and arrangement and combination of corresponding transportation routes so as to find out the optimal transportation scheme from a plurality of transportation schemes and reasonably allocate the transportation capacity.
Further, the combinatorial optimization is an optimal method for finding an optimal transportation scheme, any one of the transportation schemes is extracted as an initial transportation scheme of the biological product transportation scheme, preferably, the target requirement comprises time cost and transportation cost, wherein the time cost comprises time cost for transportation time, loading and unloading and carrying time, outer package dismantling time and the like corresponding to different transportation modes; the transportation cost comprises unit cost and loading and unloading cost which are paid for meeting the minimum standard requirement of transportation and storage in unit time of different transportation modes when the influence of weather environment is comprehensively considered and the minimum standard requirement of transportation and storage is met; further, weighting time cost and transportation cost to obtain target demand, and calculating a comprehensive index of the initial transportation scheme by combining the cold chain removal stability database based on the target demand, wherein the comprehensive index is used for evaluating the quality of the transportation scheme. Constructing a neighborhood of the initial transportation scheme by using a neighborhood optimization search method, wherein the neighborhood of the initial transportation scheme comprises a plurality of neighborhood transportation schemes, the initial transportation scheme comprises the same neighborhood transportation schemes, based on the target requirement, combining the cold chain removal stability database to sequentially calculate neighborhood comprehensive indexes of the neighborhood transportation schemes to form a plurality of neighborhood comprehensive indexes, the neighborhood transportation schemes correspond to the neighborhood comprehensive indexes one by one, comparing the neighborhood comprehensive indexes, screening out the neighborhood transportation scheme with the best comprehensive index, recording the neighborhood transportation scheme as the best neighborhood transportation scheme, comparing the neighborhood comprehensive index corresponding to the best neighborhood transportation scheme with the comprehensive index of the initial transportation scheme, and replacing the initial transportation scheme with the best neighborhood transportation scheme if the neighborhood comprehensive index of the best neighborhood transportation scheme is superior to the comprehensive index of the initial transportation scheme, and repeating the steps by analogy as the current solution until the preset iteration times are reached, or stopping the algorithm if the current solution is the optimal transportation scheme and outputting the optimal transportation scheme. The embodiment of the application realizes the determination of the optimal transportation scheme through the tabu search algorithm, and solves the technical problems of safety, timeliness, accuracy and economy of the biological products in the transportation process.
Further, in step S490, the method further includes:
s491: adding the transportation scheme and the neighborhood optimal transportation scheme to a tabu table in sequence;
s492: sequentially calculating the time length of adding the transportation scheme and the neighborhood optimal transportation scheme to the tabu table;
s493: when the time length of the transportation scheme added to the tabu table meets a preset tabu period limit, releasing the transportation scheme from the tabu table;
s494: releasing the neighborhood optimal transportation scheme from the tabu table when the duration of the neighborhood optimal transportation scheme added to the tabu table meets the preset tabu period limit.
Specifically, in order to prevent the phenomenon that the search of the optimal solution is in a dead cycle and falls into local optimization, in the embodiment of the application, the transport scheme and the neighborhood optimal transport scheme which are received latest are sequentially added into a tabu table, and the time length for adding the transport scheme and the neighborhood optimal transport scheme into the tabu table is sequentially calculated; when the time length of the transportation scheme added to the tabu table meets a preset tabu period limit, releasing the transportation scheme from the tabu table; releasing the neighborhood optimal transportation scheme from the tabu table when the duration of the neighborhood optimal transportation scheme added to the tabu table meets the preset tabu period limit.
S500: establishing a transportation risk accident set of the biological products based on big data, and sequentially analyzing a minimum cut set of each transportation risk accident in the transportation risk accident set by using an accident tree method to form a minimum cut set;
specifically, the accident tree analysis method can analyze various reasons causing the accident by using logical reasoning, not only can analyze the direct reasons of the accident, but also can deeply reveal the potential reasons of the accident, so that the cause and effect relationship of the accident is clearer and clear, and the method is particularly suitable for analyzing the causes of the events with multiple influence factors. In the implementation of the application, the accident tree analysis method is used for carrying out qualitative and quantitative analysis on transportation risk accidents possibly occurring in the transportation process, determining various basic event combination modes causing the occurrence of the risk accidents, and completing the acquisition of the reasons of the risk transportation accidents. Specifically, the big data records various past biological products including biological products of the same type as the biological products to be transported and risk accidents encountered in the transportation process, a transportation risk accident set of the biological products is established based on the big data, and a minimum cut set of each transportation risk accident in the transportation risk accident set is sequentially analyzed by using an accident tree method to form a minimum cut set, wherein the minimum cut set is a minimum basic event combination causing the risk accidents.
Further, as shown in fig. 4, an implementation manner of step S500 in the method provided in the embodiment of the present application includes:
s510: collecting historical shipping records of the biological product;
s520: according to typical risk accident records in the historical transportation records, a transportation risk accident set is established, wherein the transportation risk accident set comprises a plurality of transportation risk accidents;
s530: sequentially treating the plurality of transportation risk accidents as overhead events;
s540: analyzing an incident factor for the overhead event;
s550: analyzing the top event and the accident factor based on the typical risk accident record, and drawing an accident tree;
s560: calculating and determining a minimum cut set according to the accident tree;
s570: forming the minimal cut set based on the minimal cut sets of the plurality of transportation risk incidents.
Specifically, historical transportation records of the biological product in the past are acquired from big data, typical risk accident records are acquired from the historical transportation records, a transportation risk accident set is established, the transportation risk accident set comprises a plurality of transportation risk accidents, the transportation risk accidents are sequentially used as top accidents, all cause events and various factors related to the transportation risk accidents are analyzed, for example, a transportation carrier is in failure, a transportation environment is in failure, and the transportation environment can comprise factors such as temperature, humidity and illumination, problems occur in management and command, and the like, the top accidents and the accident factors are analyzed based on the typical risk accident records and an accident tree is drawn, and after the accident tree is drawn, in order to accurately calculate the probability of top accidents, the accident tree needs to be carefully checked and simplified by utilizing Boolean algebra, redundant events are eliminated, qualitative and quantitative analysis is facilitated for follow-up, and then a minimum cut set is determined, wherein the minimum cut set is a minimum basic event set which causes a top event; and forming the minimum cut set based on the minimum cut sets corresponding to the transportation risk accidents, so as to determine each influence factor when the overhead event occurs.
S600: monitoring the transportation process of the biological product in real time through a transportation monitoring module to obtain a real-time transportation data set;
s700: and synchronously receiving the real-time transportation data set through a risk early warning module, carrying out risk early warning by combining the minimal cut set, and further carrying out transportation management on the biological products according to the risk early warning.
Specifically, the transportation monitoring module is connected with the transportation decision-making module, and the risk early warning module is connected with the transportation monitoring module; the method comprises the steps of utilizing a transportation monitoring module to monitor information such as temperature, humidity, illumination, loading, unloading and carrying, a transportation mode conversion process, an outer packaging box assembling and disassembling process and the like in the transportation process of biological products in real time to obtain a biological product transportation data set, sending the biological product transportation data set to a risk early warning module, comparing the real-time transportation data set with a minimum cut set, carrying out risk early warning on the transportation process of the biological products, taking corresponding solving measures for corresponding events according to the risk early warning, reducing the occurrence of transportation risk accidents and reducing the economic loss generated in the transportation process of the biological products through the risk early warning.
In summary, the roadbed monitoring method for the high-mobility rescue equipment provided by the embodiment of the application has the following technical effects:
1. according to the biological product transportation management method provided by the embodiment of the application, biological product transportation information is acquired through an information acquisition module, wherein the biological product transportation information comprises basic data information and transportation demand information of a biological product; receiving the basic data information of the biological product through an information analysis module, and analyzing and determining the transportation and storage standard of the biological product; analyzing and determining a transportation scheme set by a transportation decision module in combination with the transportation storage standard and the transportation demand information, wherein the transportation scheme set comprises a plurality of transportation schemes; globally optimizing the plurality of transportation schemes, determining an optimal transportation scheme, and transporting the biological product according to the optimal transportation scheme; establishing a transportation risk accident set of the biological products based on big data, and sequentially analyzing a minimum cut set of each transportation risk accident in the transportation risk accident set by using an accident tree method to form a minimum cut set; monitoring the transportation process of the biological product in real time through a transportation monitoring module to obtain a real-time transportation data set; and synchronously receiving the real-time transportation data set through a risk early warning module, carrying out risk early warning by combining the minimum cut set, and further carrying out transportation management on the biological products according to the risk early warning. The technical problem of how to guarantee the safety, timeliness, accuracy and economy of biological products in the transportation process is solved, the transportation scheme of the biological products is optimized, the biological products meet the storage conditions in the transportation process, the transportation cost is reduced, the transportation capacity is reasonably allocated, and the technical effect of meeting the business operation work requirements of enterprises is achieved.
2. According to the embodiment of the application, the requirements of special components in the biological product on storage conditions are fully considered, the transportation and storage standards are adjusted by using the special components in the biological product, the accuracy of the transportation and storage standards of the biological product is further improved, and a data basis is provided for the determination of the subsequent optimal transportation scheme.
3. The influence factors involved in the transportation process are more, the embodiment of the application comprehensively considers the influence factors in the transportation process, and provides a taboo search algorithm to realize combination optimization, so that the optimal transportation scheme is determined, and the technical problems of safety, timeliness, accuracy and economy of biological products in the transportation process are solved.
4. The embodiment of the application provides that the accident tree analysis method is used for analyzing the transportation risk accidents, the risk early warning of the biological product transportation process is achieved according to the analysis result, the occurrence of the transportation risk accidents is reduced through the risk early warning, the economic loss generated in the biological product transportation process is reduced, and the safety, timeliness, accuracy and economy of the biological products in the transportation process are guaranteed.
Example two
Based on the same inventive concept as one of the biological product transportation management methods in the foregoing embodiments, as shown in fig. 5, the present application provides a biological product transportation management system, wherein the system includes:
the information acquisition module 11 is used for acquiring biological product transportation information, wherein the biological product transportation information comprises basic data information and transportation demand information of a biological product;
the information analysis module 12 is used for receiving the basic data information of the biological product and analyzing and determining the transportation and storage standard of the biological product;
a transportation decision module 13, the transportation decision module 13 comprising:
a first transportation decision module 131, configured to analyze and determine a transportation scheme set through a transportation decision module in combination with the transportation storage criteria and the transportation demand information, where the transportation scheme set includes a plurality of transportation schemes;
a second transportation decision module 132 for globally optimizing the plurality of transportation solutions, determining an optimal transportation solution, and transporting the bioproduct according to the optimal transportation solution;
a third transportation decision module 133, configured to establish a transportation risk accident set of the biological product based on big data, and sequentially analyze a minimum cut set of each transportation risk accident in the transportation risk accident set by using an accident tree method to form a minimum cut set;
the transportation monitoring module 14 is used for monitoring the transportation process of the biological product in real time to obtain a real-time transportation data set;
and the risk early warning module 15 is used for synchronously receiving the real-time transportation data set, carrying out risk early warning by combining the minimal cut set, and further carrying out transportation management on the biological products according to the risk early warning.
Further, the information analysis module in the system is further configured to:
collecting the national standard, the industrial standard and the preset standard of the storage of the biological products;
comprehensively analyzing and determining a conventional storage standard according to the national standard, the industrial standard and the preset standard, wherein the conventional storage standard refers to the lowest storage standard of the biological product;
determining a conventional storage temperature threshold, a conventional storage humidity threshold and a conventional storage ultraviolet intensity threshold according to the conventional storage standard;
setting the conventional storage temperature threshold, the conventional storage humidity threshold and the conventional storage ultraviolet intensity threshold as transportation and storage standards of the biological products.
Further, the information analysis module in the system is further configured to:
establishing a special component set of the biological product based on big data, and sequentially determining each storage condition of each special component in the special component set;
constructing a special component database according to the one-to-one correspondence relationship between each special component and each storage condition;
determining component information of the biological product according to the basic data information, and traversing the component information in the special component database;
according to the traversal result, if one component in the component information belongs to the special component database, marking the component as a special component;
matching storage conditions of the special components in the special component database, and adjusting the transportation storage standard according to the storage conditions.
Further, the information analysis module in the system is further configured to:
determining a transportation and storage temperature threshold according to the transportation and storage standard;
sequentially extracting a lower limit temperature value and an upper limit temperature value of the transportation and storage temperature threshold;
taking the lower limit temperature value as the test upper limit temperature, and carrying out a low-temperature stability test on the biological product according to a preset temperature design scheme;
taking the upper limit temperature value as a test lower limit temperature, and carrying out a high-temperature stability test on the biological product according to the preset temperature design scheme;
determining the longest stable holding time of the biological product under each test temperature condition after the cold chain is removed according to the low-temperature stability test and the high-temperature stability test;
and constructing a cold chain removal stability database according to the one-to-one correspondence relationship between the test temperature condition and the longest keeping stabilization time.
Further, the transportation decision module in the system is further configured to:
determining a starting place, a target place and a target demand of transportation according to the transportation demand information;
determining the transportation scheme set according to the departure place and the destination place and by combining the transportation storage standard, wherein the transportation scheme set comprises a plurality of transportation schemes;
extracting any one transportation scheme of the plurality of transportation schemes, and taking the transportation scheme as the initial transportation scheme;
calculating a composite index of the initial transportation scheme based on the target demand in combination with the cold chain removal stability database;
constructing the initial transportation scheme neighborhood based on a preset neighborhood scheme, wherein the initial transportation scheme neighborhood comprises a plurality of neighborhood transportation schemes;
based on the target requirement, sequentially calculating neighborhood comprehensive indexes of the plurality of neighborhood transportation schemes by combining the cold chain removal stability database to form a plurality of neighborhood comprehensive indexes;
comparing the plurality of neighborhood comprehensive indexes, screening out a neighborhood transportation scheme with the optimal comprehensive index, and recording the neighborhood transportation scheme as a neighborhood optimal transportation scheme;
if the neighborhood comprehensive index of the neighborhood optimal transportation scheme is better than the comprehensive index of the initial transportation scheme, replacing the initial transportation scheme with the neighborhood optimal transportation scheme;
and if the iteration optimization reaches the preset iteration times, outputting the optimal transportation scheme.
Further, the transportation decision module in the system is further configured to:
adding the transportation scheme and the neighborhood optimal transportation scheme to a tabu table in sequence;
sequentially calculating the time length of adding the transportation scheme and the neighborhood optimal transportation scheme to the tabu table;
when the time length of the transportation scheme added to the tabu table meets a preset tabu period limit, releasing the transportation scheme from the tabu table;
releasing the neighborhood optimal transportation scheme from the tabu table when the duration of the neighborhood optimal transportation scheme added to the tabu table meets the preset tabu period limit.
Further, the transportation decision module in the system is further configured to:
collecting a historical shipping record of the biological product;
according to typical risk accident records in the historical transportation records, a transportation risk accident set is established, wherein the transportation risk accident set comprises a plurality of transportation risk accidents;
sequentially treating the plurality of transportation risk accidents as overhead events;
analyzing an incident factor for the overhead event;
analyzing the top event and the accident factor based on the typical risk accident record, and drawing an accident tree;
calculating and determining a minimum cut set according to the accident tree;
forming the minimal cut set based on the minimal cut sets of the plurality of transportation risk incidents.
For a specific working process of the module disclosed in the above embodiment of the present application, reference may be made to the content of the corresponding method embodiment, which is not described herein again.
Those skilled in the art can make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. A biological product transportation management method is applied to a biological product transportation management system, the system comprises an information acquisition module, an information analysis module, a transportation decision module, a transportation monitoring module and a risk early warning module, and the method comprises the following steps:
collecting biological product transportation information through an information collection module, wherein the biological product transportation information comprises basic data information and transportation demand information of a biological product;
receiving the basic data information of the biological product through an information analysis module, and analyzing and determining the transportation and storage standard of the biological product;
analyzing and determining a transportation scheme set by a transportation decision module in combination with the transportation storage standard and the transportation demand information, wherein the transportation scheme set comprises a plurality of transportation schemes;
globally optimizing the plurality of transportation schemes, determining an optimal transportation scheme, and transporting the biological product according to the optimal transportation scheme;
establishing a transportation risk accident set of the biological product based on big data, and sequentially analyzing a minimal cut set of each transportation risk accident in the transportation risk accident set by using an accident tree method to form a minimal cut set;
monitoring the transportation process of the biological product in real time through a transportation monitoring module to obtain a real-time transportation data set;
and synchronously receiving the real-time transportation data set through a risk early warning module, carrying out risk early warning by combining the minimum cut set, and further carrying out transportation management on the biological products according to the risk early warning.
2. The method of claim 1, wherein said analyzing determines shipping storage criteria for said biological product, comprising:
collecting the national standard, the industrial standard and the preset standard of the storage of the biological products;
comprehensively analyzing and determining a conventional storage standard according to the national standard, the industrial standard and the preset standard, wherein the conventional storage standard refers to the lowest storage standard of the biological product;
determining a conventional storage temperature threshold, a conventional storage humidity threshold and a conventional storage ultraviolet intensity threshold according to the conventional storage standard;
setting the conventional storage temperature threshold, the conventional storage humidity threshold and the conventional storage ultraviolet intensity threshold as transportation and storage standards of the biological products.
3. The method of claim 2, wherein after said setting said regular storage temperature threshold, said regular storage humidity threshold, said regular storage ultraviolet intensity threshold as said transportation storage criteria for said bioproduct, further comprises:
establishing a special component set of the biological product based on big data, and sequentially determining each storage condition of each special component in the special component set;
constructing a special component database according to the one-to-one correspondence relationship between each special component and each storage condition;
determining component information of the biological product according to the basic data information, and traversing the component information in the special component database;
according to the traversal result, if one component in the component information belongs to the special component database, marking the component as a special component;
matching storage conditions of the special components in the special component database, and adjusting the transportation storage standard according to the storage conditions.
4. The method of claim 3, further comprising:
determining a transportation storage temperature threshold according to the transportation storage standard;
sequentially extracting a lower limit temperature value and an upper limit temperature value of the transportation and storage temperature threshold;
taking the lower limit temperature value as the test upper limit temperature, and carrying out a low-temperature stability test on the biological product according to a preset temperature design scheme;
taking the upper limit temperature value as a test lower limit temperature, and carrying out a high-temperature stability test on the biological product according to the preset temperature design scheme;
determining the longest stable holding time of the biological product under each test temperature condition after the cold chain is removed according to the low-temperature stability test and the high-temperature stability test;
and constructing a cold chain removal stability database according to the one-to-one correspondence relationship between the test temperature condition and the longest keeping stabilization time.
5. The method of claim 4, comprising:
determining a starting place, a target place and a target demand of transportation according to the transportation demand information;
determining the transportation scheme set according to the departure place and the destination place and by combining the transportation storage standard, wherein the transportation scheme set comprises a plurality of transportation schemes;
extracting any one of the plurality of transportation schemes, and taking the transportation scheme as an initial transportation scheme;
calculating a composite index of the initial transportation scheme based on the target demand in combination with the cold chain removal stability database;
constructing the initial transportation scheme neighborhood based on a preset neighborhood scheme, wherein the initial transportation scheme neighborhood comprises a plurality of neighborhood transportation schemes;
based on the target requirement, sequentially calculating neighborhood comprehensive indexes of the plurality of neighborhood transportation schemes by combining the cold chain removal stability database to form a plurality of neighborhood comprehensive indexes;
comparing the plurality of neighborhood comprehensive indexes, screening out a neighborhood transportation scheme with the optimal comprehensive index, and recording the neighborhood transportation scheme as a neighborhood optimal transportation scheme;
if the neighborhood comprehensive index of the neighborhood optimal transportation scheme is better than the comprehensive index of the initial transportation scheme, replacing the initial transportation scheme with the neighborhood optimal transportation scheme;
and if the iteration optimization reaches the preset iteration times, outputting the initial transportation scheme as the optimal transportation scheme.
6. The method of claim 5, further comprising:
adding the transportation scheme and the neighborhood optimal transportation scheme to a tabu table in sequence;
sequentially calculating the time length of adding the transportation scheme and the neighborhood optimal transportation scheme to the tabu table;
when the time length of the transportation scheme added to the tabu table meets a preset tabu period limit, releasing the transportation scheme from the tabu table;
releasing the neighborhood optimal transportation scheme from the tabu table when the duration of the neighborhood optimal transportation scheme added to the tabu table meets the preset tabu period limit.
7. The method of claim 1, wherein the building a transportation risk accident set of the biological product based on the big data and sequentially analyzing a minimal cut set of each transportation risk accident in the transportation risk accident set by using an accident tree method to form a minimal cut set comprises:
collecting a historical shipping record of the biological product;
according to typical risk accident records in the historical transportation records, a transportation risk accident set is established, wherein the transportation risk accident set comprises a plurality of transportation risk accidents;
sequentially treating the plurality of transportation risk accidents as overhead events;
analyzing an incident factor for the overhead event;
analyzing the top event and the accident factor based on the typical risk accident record, and drawing an accident tree;
calculating and determining a minimum cut set according to the accident tree;
forming the minimal cut set based on the minimal cut sets of the plurality of transportation risk incidents.
8. A bioproduct transportation management system, characterized in that the system comprises:
the information acquisition module is used for acquiring biological product transportation information, wherein the biological product transportation information comprises basic data information and transportation demand information of a biological product;
the information analysis module is used for receiving the basic data information of the biological product and analyzing and determining the transportation and storage standard of the biological product;
a transport decision module, the transport decision module comprising:
a first transportation decision module, configured to combine the transportation storage criteria and the transportation demand information, and analyze and determine a transportation scheme set through the transportation decision module, where the transportation scheme set includes a plurality of transportation schemes;
a second transportation decision module for performing global optimization on the plurality of transportation schemes, determining an optimal transportation scheme, and transporting the biological product according to the optimal transportation scheme;
the third transportation decision module is used for establishing a transportation risk accident set of the biological product based on big data, and analyzing the minimum cut sets of all the transportation risk accidents in the transportation risk accident set in sequence by utilizing an accident tree method to form a minimum cut set;
the transportation monitoring module is used for monitoring the transportation process of the biological product in real time to obtain a real-time transportation data set;
and the risk early warning module is used for synchronously receiving the real-time transportation data set, carrying out risk early warning by combining the minimum cut set and further carrying out the transportation management of the biological products according to the risk early warning.
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