CN114186944A - Digital collaborative tracing method and system for cold-chain logistics - Google Patents

Digital collaborative tracing method and system for cold-chain logistics Download PDF

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CN114186944A
CN114186944A CN202111556894.9A CN202111556894A CN114186944A CN 114186944 A CN114186944 A CN 114186944A CN 202111556894 A CN202111556894 A CN 202111556894A CN 114186944 A CN114186944 A CN 114186944A
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product
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任佳佳
张朦朦
闫振伟
肖丽平
于晓胜
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Henan University of Animal Husbandry and Economy
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    • G06Q10/00Administration; Management
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    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders

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Abstract

The invention discloses a digital collaborative tracing method and a digital collaborative tracing system for cold-chain logistics, wherein the method comprises the following steps: obtaining a first product record state based on a warehousing management platform; activating a tracing management module to perform product tracing according to the first product recording state, wherein the tracing management module comprises a plurality of management units, and the management units have a first cooperative connection relationship; inputting the first early warning attribute information into an early warning management unit, and obtaining transportation tracing information and temperature control tracing information by combining a product management unit; constructing a first product tracing information chain according to the corresponding relation between the transportation tracing information and the temperature control tracing information; and obtaining first output information according to the first product tracing information chain to mark the product state. The technical problems that in the prior art, the tracing of cold-chain logistics is not perfect enough, and the tracing flexibility and operability are weak, so that the high-quality tracing management quality of the cold-chain logistics is difficult to realize are solved.

Description

Digital collaborative tracing method and system for cold-chain logistics
Technical Field
The invention relates to the related field of logistics management, in particular to a digital collaborative tracing method and system for cold-chain logistics.
Background
At present, with the rapid development of the cold-chain logistics industry, people have great demands on the transportation of fresh foods or commodities, wherein the cold-chain logistics refers to a logistics process of ensuring the quality by ensuring that the distribution link is in a specified low-temperature environment when some special-demand commodities are distributed.
Due to the fact that automatic monitoring and tracing of cold-chain logistics are conducted in the distribution process, the quality of commodities in the distribution process can be guaranteed, the distribution service level is improved, and the user requirements are met. At present, a relatively standard monitoring system does not exist in the transportation process of cold-chain logistics, and therefore, how to perfect a cold-chain logistics tracing system is a main research direction at present.
However, in the prior art, the tracing of cold-chain logistics is not perfect enough, and the tracing flexibility and operability are weak, so that the technical problem that the high-quality tracing management quality of the cold-chain logistics is difficult to realize is solved.
Disclosure of Invention
Aiming at the defects in the prior art, the application aims to solve the technical problems that the cold-chain logistics tracing is not perfect enough, the tracing flexibility and operability are weak, and the high-quality tracing management quality of the cold-chain logistics is difficult to realize in the prior art by providing the digital collaborative tracing method and the system for the cold-chain logistics, so that the product state is traced by connecting a warehouse management platform, flexible and changeable tracing data management is realized by adopting a collaborative tracing management module, and the data dynamics and high availability are improved in a collaborative tracing manner.
On one hand, the application provides a digital collaborative tracing method for cold-chain logistics, which is applied to a digital collaborative tracing system for cold-chain logistics, the system is in communication connection with a warehouse management platform, and the method comprises the following steps: determining a first product record state based on the product management information of the warehousing management platform; obtaining a first activation instruction according to the first product recording state; activating a tracing management module to execute product tracing according to the first activation instruction, wherein the tracing management module comprises a plurality of management units, the management units comprise a product management unit, a transportation management unit, a temperature control management unit and an early warning management unit, and the product management unit, the transportation management unit, the temperature control management unit and the early warning management unit have a first cooperative connection relationship; inputting first early warning attribute information into the early warning management unit, and obtaining transportation tracing information and temperature control tracing information which are respectively output by the transportation management unit and the temperature control management unit by combining the product management unit; constructing a first product tracing information chain according to the corresponding relation between the transportation tracing information and the temperature control tracing information; and obtaining first output information of the early warning management unit according to the first product tracing information chain, and marking the product state according to the first output information.
On the other hand, this application still provides a digital collaborative traceability system of cold chain logistics, the system includes: the warehouse management system comprises a first determining unit, a second determining unit and a control unit, wherein the first determining unit is used for determining a first product record state based on product management information of a warehouse management platform; the first obtaining unit is used for obtaining a first activation instruction according to the first product recording state; the product tracing management module comprises a plurality of management units, the management units comprise a product management unit, a transportation management unit, a temperature control management unit and an early warning management unit, and the product management unit, the transportation management unit, the temperature control management unit and the early warning management unit have a first cooperative connection relationship; the first input unit is used for inputting first early warning attribute information into the early warning management unit, and acquiring transportation tracing information and temperature control tracing information which are respectively output by the transportation management unit and the temperature control management unit by combining the product management unit; the first construction unit is used for constructing a first product traceability information chain according to the corresponding relation between the transportation traceability information and the temperature control traceability information; the second obtaining unit is used for obtaining first output information of the early warning management unit according to the first product tracing information chain; the first marking unit is used for marking the product state according to the first output information.
In a third aspect, the present application provides a digital cooperative tracing system for cold-chain logistics, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of the first aspect when executing the program.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
1. the product information in the logistics storage management platform is analyzed, whether the tracing management module needs to be activated is judged according to the recording state of the product to perform tracing, first early warning attribute information is obtained and input into the early warning management unit, the tracing information in the physical transportation management unit and the temperature control management unit is subjected to information extraction by combining the product information in the product management unit, a first product tracing information chain is constructed, the early warning state of the product can be analyzed according to the constructed first product tracing information chain and a corresponding analysis early warning model, and therefore the state marking of the product is achieved, and the subsequent comprehensive management of the product transportation is facilitated. The product state is tracked by connecting the warehouse management platform, flexible and variable tracing data management is realized by adopting a cooperative tracing management module, and the data dynamics and high availability are improved by adopting a cooperative tracing mode.
2. Because the cooperative connection relation is established for all the cooperative units in the tracing management module, and a data transmission mode is realized according to the cooperative connection relation design grading, the technical effects of improving the logical and process systematization in the data tracing process are achieved.
3. Due to the fact that the early warning attribute module and the model calling library are configured, matching from the model calling library according to selection of the attribute information is achieved, and the attribute information establishes the map through the dependency relationship, high availability processing of product tracing data is further improved, and accordingly the digital tracing processing effect is improved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
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Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
fig. 1 is a schematic flowchart of a digital collaborative tracing method for cold-chain logistics according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a cooperative connection relationship of a digital cooperative tracing method for cold-chain logistics according to an embodiment of the present application;
fig. 3 is a schematic flowchart of a model call library generated by a digital collaborative tracing method for cold-chain logistics according to an embodiment of the present application;
fig. 4 is a schematic flowchart of attribute dependency judgment of a digital collaborative tracing method for cold-chain logistics according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a digital collaborative traceability system of cold-chain logistics according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Detailed Description
The embodiment of the application provides a digital collaborative tracing method and system for cold chain logistics, solves the technical problems that the tracing of cold chain logistics is not perfect enough and the tracing flexibility and operability are weak in the prior art, so that the cold chain logistics is difficult to realize high-quality tracing management quality, achieves the technical effects of tracing the product state through connecting a warehouse management platform, realizing flexible and changeable tracing data management by adopting a collaborative tracing management module mode and improving data dynamics and high availability by adopting a collaborative tracing mode.
Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
According to the technical scheme, the data acquisition, storage, use, processing and the like meet relevant regulations of national laws and regulations.
The improvement of a cold-chain logistics transportation network brings convenience of cargo transportation and reduction of logistics cost, a cold-chain monitoring system of an all-industrial-chain system in the prior art is not formed, a cold-chain logistics traceability system is not complete enough, traceability flexibility is lacked, and operability is weak, so that the technical problem that high-quality traceability management quality of cold-chain logistics is difficult to realize is solved. By providing the cold chain digital collaborative tracing method, each distribution unit in the tracing management module is cooperatively connected, the digital processing of product tracing data is improved according to the cooperative connection relationship, the systematic logicalization of product tracing is realized, and the tracing data processing efficiency and the service quality are improved.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
the embodiment of the application provides a digital collaborative tracing method for cold-chain logistics, which is applied to a digital collaborative tracing system for cold-chain logistics, wherein the system is in communication connection with a warehouse management platform, and the method comprises the following steps: determining a first product record state based on the product management information of the warehousing management platform; obtaining a first activation instruction according to the first product recording state; activating a tracing management module to execute product tracing according to the first activation instruction, wherein the tracing management module comprises a plurality of management units, the management units comprise a product management unit, a transportation management unit, a temperature control management unit and an early warning management unit, and the product management unit, the transportation management unit, the temperature control management unit and the early warning management unit have a first cooperative connection relationship; inputting first early warning attribute information into the early warning management unit, and obtaining transportation tracing information and temperature control tracing information which are respectively output by the transportation management unit and the temperature control management unit by combining the product management unit; constructing a first product tracing information chain according to the corresponding relation between the transportation tracing information and the temperature control tracing information; and obtaining first output information of the early warning management unit according to the first product tracing information chain, and marking the product state according to the first output information.
For better understanding of the above technical solutions, the following detailed descriptions will be provided in conjunction with the drawings and the detailed description of the embodiments.
Example one
As shown in fig. 1, an embodiment of the present application provides a digital collaborative tracing method for cold-chain logistics, where the method is applied to a digital collaborative tracing system for cold-chain logistics, and the system is in communication connection with a warehouse management platform, and the method includes:
step S100: determining a first product record state based on the product management information of the warehousing management platform;
specifically, the warehouse management platform is a logistics warehouse storage management platform, can store and manage products stored in a warehouse in and out of the warehouse, and is generally realized by two-dimensional code design or electronic tags on the products, so that the system can further control the transportation state of the products by connecting the warehouse storage management platform, and can construct a first product recording state based on the product refrigeration characteristic information aimed at by cold chain logistics due to the fact that the warehouse management platform stores basic information of each product, wherein the first product recording state comprises information such as an ex-warehouse recording state and an in-warehouse recording state, and product tracing is realized.
Step S200: obtaining a first activation instruction according to the first product recording state;
specifically, the first product record state is a product record state after warehouse storage of a certain product, and includes record information such as warehousing time, storage time, ex-warehouse time and the like, so that when the product is in a transportation order summary and performs ex-warehouse operation to enter a logistics transportation link, the first product record state includes information such as an affiliated order, a transportation record, an ex-warehouse record and the like, and when the first product record state is changed to the ex-warehouse state, a first activation instruction is obtained, so that intelligent activation tracing of the product is realized.
Step S300: activating a tracing management module to execute product tracing according to the first activation instruction, wherein the tracing management module comprises a plurality of management units, the management units comprise a product management unit, a transportation management unit, a temperature control management unit and an early warning management unit, and the product management unit, the transportation management unit, the temperature control management unit and the early warning management unit have a first cooperative connection relationship;
specifically, the first product recording state is a basic trigger condition of cold chain logistics tracing, and when the recording state of a product is changed into ex-warehouse, a first activation instruction is sent to a tracing management module of a system, so that a tracing information chain of the product is constructed in the tracing management module, wherein the tracing management module comprises a product management unit, a transportation management unit and a temperature control management unit, and the product management unit transmits product management information in the warehousing management platform according to the activation instruction to construct cold chain characteristic information of the product, such as information of product type, product storage tolerance, refrigeration condition and the like; the transportation management unit is used for tracing information of products in the cold chain transportation and distribution processes to construct transportation cold chain characteristic information, such as information of transportation vehicles, transportation duration, transportation paths and the like; the temperature control management unit is used for tracing the monitoring temperature data corresponding to each positioning in the transportation process of the product to construct temperature control cold chain characteristic information, such as vehicle-mounted inner wall temperature measurement data, real-time temperature monitoring data and the like.
Furthermore, the tracing management module further comprises an early warning management unit, wherein the early warning management unit is used for realizing function execution based on all information in the tracing management module, the product management unit, the transportation management unit and the temperature control management unit are used for constructing the tracing information module of the tracing management module, and the early warning management unit is used as the function execution module for constructing the tracing management module. And a first cooperative connection relation is formed among the product management unit, the transportation management unit, the temperature control management unit and the early warning management unit, the product management unit, the transportation management unit, the temperature control management unit and the early warning management unit are of a diamond structure, data interaction can be realized, cooperative tracing is further achieved, and the accuracy and usability of tracing information are improved.
Step S400: inputting first early warning attribute information into the early warning management unit, and obtaining transportation tracing information and temperature control tracing information which are respectively output by the transportation management unit and the temperature control management unit by combining the product management unit;
step S500: constructing a first product tracing information chain according to the corresponding relation between the transportation tracing information and the temperature control tracing information;
specifically, the first early warning attribute information is early warning attribute information selected by a user, and the early warning of cold-chain logistics comprises multiple early warning types such as temperature fluctuation early warning, product loss early warning, transportation temperature risk early warning, and the like, so that the selected first early warning attribute information is input based on the main direction of an enterprise by the user, the early warning management unit receives the first early warning attribute information and obtains a transportation tracing information chain and a temperature control tracing information chain according to the product information, wherein the transportation tracing information chain and the temperature control tracing information chain are information chains obtained from the transportation management unit respectively according to the first early warning attribute information and the temperature control tracing information chain obtained from the temperature control management unit according to the type of early warning, the transportation tracing information chain and the temperature control tracing information chain are information chains after filtering, the required information of the first early warning attribute information can be effectively represented, and the transportation tracing information and the temperature control tracing information are connected by using positioning information as intermediate information, and forming the first product tracing information chain to form a double-sequence information chain, and then realizing early warning output according to the first product tracing chain.
Step S600: obtaining first output information of the early warning management unit according to the first product tracing information chain;
step S700: and marking the product state according to the first output information.
Specifically, the product management unit, the temperature control management unit and the early warning management unit in the early warning management unit have a first cooperative connection relationship, and unit data in the early warning management unit can realize cooperative promotion, so that the transportation state of the product can be marked according to the obtained first output information, so that the record of the finally transported product is realized, the directional analysis of the enterprise product is facilitated, and basic data is provided for the next enterprise decision. For example, when the first early warning attribute information is product loss risk early warning, according to the product loss risk early warning, the appropriate storage temperature and the product unit price of the product are extracted according to the product management unit, model calculation is performed according to the real-time transport vehicle information, the positioning information and the temperature information of the product as input information, output information of temperature control risk early warning is achieved, when the product loss risk is large, positioning and periodic reading are performed from the first product tracing information chain according to the economic loss benefit calculated in real time, decision supply and high availability of data can be achieved according to the tracing information, and therefore the accuracy of the tracing information is improved.
Further, as shown in fig. 2, step S300 in the embodiment of the present application further includes:
step S310: the product management unit is a first-stage unit, the transportation management unit and the temperature control management unit are second-stage units, the early warning management unit is a third-stage unit, data of the first-stage unit is used for being transmitted to the second-stage unit, data of the second-stage unit is used for being transmitted to the third-stage unit, and data interaction can be realized in the second-stage unit;
step S320: the early warning management unit is connected with a model calling library, and calls a first matching model from the model calling library to perform data analysis on the first product tracing information chain according to the first early warning attribute information to obtain a first early warning analysis result;
step S330: and outputting the first early warning analysis result as the first output information through the early warning management unit.
Specifically, a product management unit in the tracing management module is used as a first-level unit, the transportation management unit and the temperature control management unit are second-level units, the early warning management unit is a third-level unit, that is, data of the first-level unit and data of the second-level unit can be directionally transmitted, data of the second-level unit and data of the third-level unit can be directionally transmitted, specifically, data information in the product management unit can be transmitted to the transportation management unit and the temperature control management unit for further analysis, and data interaction can be performed between the transportation management unit in the second-level unit and the data in the temperature control management unit, so that a cooperative processing relationship between the units is formed.
Further, a plurality of early warning models are stored in the model calling library, model matching corresponding to early warning attributes is performed from the model calling library according to early warning attribute information selected and input by a user, so that a first matching model is obtained, a product tracing information chain screened based on the first early warning attribute information is input into the first matching model for model training, and a first early warning analysis result is output, wherein the first early warning analysis result is the first output information, and then marking of a product state is performed. And establishing a cooperative connection relation for all cooperative units in the tracing management module, designing classification according to the cooperative connection relation, and realizing a data transmission mode, thereby achieving the technical effects of improving the logical and flow systematization in the data tracing process.
Further, as shown in fig. 3, step S320 in this embodiment of the present application further includes:
step S321: comprehensively analyzing the early warning information of the cold-chain logistics based on the big data, and determining an early warning attribute set;
step S322: obtaining a filtering early warning attribute set by constraining the early warning attribute set;
step S323: constructing a model corresponding to the early warning attribute according to each early warning attribute category in the filtering early warning attribute set;
step S324: and generating the model calling library according to the model corresponding to the early warning attribute.
Specifically, based on big data, the early warning information is comprehensively analyzed by combining with the attributes of the logistics enterprises, all categories of early warning types are determined, an early warning attribute set is generated, the enterprises are further analyzed, importance analysis is carried out by combining with the main early warning results, the early warning attribute set is filtered according to the prior familiarity and anger, the filtering early warning attribute set is obtained, the adaptability of the system and the logistics enterprises can be improved through the filtered early warning attribute set, and the usability of the system and the logistics enterprises is improved.
Further, the model in the model calling library is operated on a cloud platform, the computation complexity of the system for processing data by a computer can be reduced by training the model in the cloud, the capacity space of a processor can be utilized to be large, the efficiency of data transmission and processing computation is improved, and further, the pertinence of the model using library is improved, the model can be directly called, incremental learning is carried out according to the data characteristics of enterprises, the efficiency and the accuracy of the model are improved, meanwhile, the corresponding model has high usability, and the accuracy of output information is further improved.
Further, the step S322 in the embodiment of the present application further includes that the early warning attribute set is constrained to obtain a filtered early warning attribute set:
step S3221: carrying out importance analysis on early warning information of cold-chain logistics based on big data to generate an importance index set, wherein the early warning attribute set corresponds to the importance index set one by one;
step S3222: sorting the importance index sets according to a first sorting rule, and determining the first N index sets in the importance index sets;
step S3223: obtaining N early warning attribute sets corresponding to the first N index sets;
step S3224: and taking the N early warning attribute sets as the filtering early warning attribute set.
Specifically, the early warning attribute set determined in the previous embodiment is the early warning attribute information obtained through big data, that is, the information including various early warning functions is obtained by analyzing the early warning attributes existing in the logistics industry, and further, in order to increase the entrepreneurity and stickiness between the system and the user, the main service items of the user logistics enterprise are analyzed, the importance index analysis is performed according to all the early warning information in the early warning attribute information set, and the filtering early warning attribute set is generated by sorting and pre-sequence extraction according to the importance index set obtained after the analysis.
The importance index can realize the comparison function through a computer, in detail, firstly, the service type of an enterprise is analyzed, a plurality of early warning elements influencing the service quality of the enterprise are determined, then, the relevance of the early warning attribute set is checked, and the early warning attribute set is sorted according to the size of a unit root to be checked, so that the logical filtering can be realized through mathematical calculation and information importance judgment, the fitting degree of the early warning attribute set and the enterprise is improved, and the user viscosity is increased.
Further, as shown in fig. 4, step S322 in the embodiment of the present application further includes:
step S3225: performing structural analysis on the filtering early warning attribute set according to the attribute dependency relationship to construct a first attribute connection map;
step S3226: acquiring second early warning attribute information;
step S3227: judging whether the second early warning attribute information and the first early warning attribute information have an attribute dependency relationship or not according to the first attribute connection map;
step S3228: if the second early warning attribute information and the first early warning attribute information have an attribute dependency relationship, taking the first output information corresponding to the first early warning attribute information as part of basic information of the second early warning attribute information, and obtaining second output information corresponding to the second early warning attribute information;
step S3229: and marking the product state for the second time according to the second output information.
Specifically, the second early warning attribute information is attribute information selected from the filtering attribute set, and the second early warning attribute information is different from the first early warning attribute information, and when the early warning attribute information has a dependency relationship, the first connection map can be constructed according to the dependency relationship, and then the early warning information is indirectly processed, so that the calculation efficiency is improved, the usability of data is increased, and the analyzed data is effectively utilized. For example, if the first warning attribute information is product temperature warning, the second warning attribute information is economic loss warning, generally speaking, the economic loss warning is product quality reduction caused by product temperature reduction, and economic loss caused by transportation service quality is reduced.
The early warning attribute module and the model calling library are configured, matching from the model calling library is achieved according to selection of attribute information, and the attribute information establishes a map through the dependency relationship of the attribute information, so that high-availability processing of product tracing data is further improved, and the digital tracing processing effect is improved.
Further, step S310 in the embodiment of the present application further includes:
step S311: acquiring first transportation vehicle-mounted information and first transportation line information according to the transportation management unit;
step S312: inputting the first transportation vehicle-mounted information and the first transportation line information into the temperature control management unit, and constructing temperature monitoring sampling points, wherein the temperature monitoring sampling points comprise sampling position points and sampling time points;
step S313: and the temperature control management unit realizes temperature monitoring according to the temperature monitoring sampling points.
Specifically, according to vehicle information, transportation positioning information and the like stored in the transportation management unit, first transportation vehicle-mounted information and first transportation route information are determined, wherein the first transportation vehicle-mounted information is vehicle information where a traced first product is located, and then according to a transportation order and a destination transportation place, the temperatures of the vehicles at different places of a route are continuously measured by combining the transportation positioning information, so that as the transportation management unit and the temperature control management unit are second-stage units, an interaction function of data can be realized, the management quality of the unit per se is continuously improved, and the quality of output data is improved. The sampling points of the temperature can be determined by inputting the real-time positioning information of the vehicle transportation into the temperature control management unit, wherein the sampling points comprise the sampling points of the vehicle, such as the sampling point position distribution information of the inner wall of a carriage, sampling interval time information and the like, so that the data interaction of the transportation management unit is realized to provide optimized data for the temperature control management unit, and the temperature control detection quality of the temperature control management unit is improved. The accuracy and the decision-making performance of unit output data are improved through the unit synergistic effect.
Further, step S310 in the embodiment of the present application further includes:
step S314: the temperature control management unit realizes temperature monitoring according to the temperature monitoring sampling point to obtain first temperature monitoring data;
step S315: carrying out transportation temperature control quality analysis according to the first temperature monitoring data to obtain transportation temperature control quality, and generating first transportation temperature control adjustment information if the transportation temperature control quality is smaller than a preset transportation temperature control quality;
step S316: and inputting the first transportation temperature control adjustment information into the transportation management unit for transportation temperature control adjustment.
Specifically, data are provided to the temperature control management unit based on the transportation management unit so as to optimize the temperature control management unit, and further, preprocessing analysis of data quality is performed on the first temperature monitoring data output by the temperature control management unit, that is, when the transportation temperature control quality is smaller than a preset transportation temperature control quality, adjustment information indicating that a changeable condition exists in current temperature control. The preset transportation temperature control quality meets the condition for the temperature control preset in advance, and the preset transportation temperature control quality is increased to prevent unnecessary product loss caused by poor temperature stability. Therefore, if the transportation temperature control quality is smaller than the preset transportation temperature control quality, first transportation temperature control adjustment information is generated and is input into the transportation management unit according to the first transportation temperature control adjustment information to intelligently adjust the temperature regulation and control of the refrigerated vehicle, so that data interaction of the temperature control management unit is realized, a data optimizing mode is provided for the transportation management unit, the transportation stability quality of the transportation management unit is improved, and the technical effect of collaborative tracing of the digitalized logistics is achieved.
Compared with the prior art, the invention has the following beneficial effects:
1. the product information in the logistics storage management platform is analyzed, whether the tracing management module needs to be activated is judged according to the recording state of the product to perform tracing, first early warning attribute information is obtained and input into the early warning management unit, the tracing information in the physical transportation management unit and the temperature control management unit is subjected to information extraction by combining the product information in the product management unit, a first product tracing information chain is constructed, the early warning state of the product can be analyzed according to the constructed first product tracing information chain and a corresponding analysis early warning model, and therefore the state marking of the product is achieved, and the subsequent comprehensive management of the product transportation is facilitated. The product state is tracked by connecting the warehouse management platform, flexible and variable tracing data management is realized by adopting a cooperative tracing management module, and the data dynamics and high availability are improved by adopting a cooperative tracing mode.
2. Because the cooperative connection relation is established for all the cooperative units in the tracing management module, and a data transmission mode is realized according to the cooperative connection relation design grading, the technical effects of improving the logical and process systematization in the data tracing process are achieved.
3. Due to the fact that the early warning attribute module and the model calling library are configured, matching from the model calling library according to selection of the attribute information is achieved, and the attribute information establishes the map through the dependency relationship, high availability processing of product tracing data is further improved, and accordingly the digital tracing processing effect is improved.
Example two
Based on the same inventive concept as the digital collaborative tracing method for cold-chain logistics in the foregoing embodiment, the present invention further provides a digital collaborative tracing system for cold-chain logistics, as shown in fig. 5, the system includes:
the warehouse management system comprises a first determining unit 11, a second determining unit 11 and a control unit, wherein the first determining unit 11 is used for determining a first product record state based on product management information of a warehouse management platform;
a first obtaining unit 12, where the first obtaining unit 12 is configured to obtain a first activation instruction according to the first product record state, where the first activation instruction is used to activate a trace-back management module to perform product trace-back;
the first activation unit 13 is configured to activate a tracing management module to perform product tracing according to the first activation instruction, where the tracing management module includes a plurality of management units, the plurality of management units include a product management unit, a transportation management unit, a temperature control management unit and an early warning management unit, and the product management unit, the transportation management unit, the temperature control management unit and the early warning management unit have a first cooperative connection relationship;
the first input unit 14 is configured to input first warning attribute information into the warning management unit, and obtain, in combination with the product management unit, transportation tracing information and temperature control tracing information that are output by the transportation management unit and the temperature control management unit, respectively;
the first construction unit 15 is configured to construct a first product traceability information chain according to a corresponding relationship between the transportation traceability information and the temperature control traceability information;
a second obtaining unit 16, where the second obtaining unit 16 is configured to obtain first output information of the early warning management unit according to the first product tracing information chain;
a first marking unit 17, where the first marking unit 17 is configured to mark a product status according to the first output information.
Further, the system further comprises:
the product management unit is a first-level unit, the transportation management unit and the temperature control management unit are second-level units, and the early warning management unit is a third-level unit, wherein data of the first-level unit is used for being transmitted to the second-level unit, data of the second-level unit is used for being transmitted to the third-level unit, and data interaction can be realized in the second-level unit;
a third obtaining unit, configured to connect the early warning management unit with a model call library, and call a first matching model from the model call library according to the first early warning attribute information to perform data analysis on the first product tracing information chain, so as to obtain a first early warning analysis result;
the first output unit is used for outputting the first early warning analysis result as the first output information through the early warning management unit;
further, the system further comprises:
the first determining unit is used for comprehensively analyzing the early warning information of the cold-chain logistics based on big data and determining an early warning attribute set;
a fourth obtaining unit, configured to obtain a filtered early warning attribute set by constraining the early warning attribute set;
the second construction unit is used for constructing a model corresponding to the early warning attribute according to each early warning attribute category in the filtering early warning attribute set;
and the first generation unit is used for generating the model calling library according to the model corresponding to the early warning attribute.
Further, the system further comprises:
the second generation unit is used for analyzing the importance of the early warning information of the cold-chain logistics based on big data and generating an importance index set, wherein the early warning attribute set corresponds to the importance index set one by one;
a second determining unit, configured to rank the importance index sets according to a first ranking rule, and determine top N index sets in the importance index sets;
a fifth obtaining unit, configured to obtain N early warning attribute sets corresponding to the first N index sets;
a first operation unit, configured to use the N early warning attribute sets as the filtering early warning attribute set.
Further, the system further comprises:
the third construction unit is used for carrying out structural analysis on the filtering early warning attribute set according to the attribute dependency relationship to construct a first attribute connection map;
a sixth obtaining unit, configured to obtain second warning attribute information;
the first judging unit is used for judging whether the second early warning attribute information and the first early warning attribute information have an attribute dependency relationship according to the first attribute connection map;
a seventh obtaining unit, configured to, if the second early warning attribute information and the first early warning attribute information have an attribute dependency relationship, use the first output information corresponding to the first early warning attribute information as part of basic information of the second early warning attribute information, and obtain second output information corresponding to the second early warning attribute information.
Further, the system further comprises:
an eighth obtaining unit configured to obtain first transportation vehicle-mounted information and first transportation route information according to the transportation management unit;
the third construction unit is used for inputting the first transportation vehicle-mounted information and the first transportation line information into the temperature control management unit and constructing a temperature monitoring sampling point, wherein the temperature monitoring sampling point comprises a sampling position point and a sampling time point;
and the first monitoring unit is used for realizing temperature monitoring by the temperature control management unit according to the temperature monitoring sampling point.
Further, the system further comprises:
a ninth obtaining unit, configured to implement temperature monitoring by the temperature control management unit according to the temperature monitoring sampling point, and obtain first temperature monitoring data;
a third generating unit, configured to perform transportation temperature control quality analysis according to the first temperature monitoring data to obtain a transportation temperature control quality, and generate first transportation temperature control adjustment information if the transportation temperature control quality is smaller than a preset transportation temperature control quality;
and the first adjusting unit is used for inputting the first transportation temperature control adjusting information into the transportation management unit for transportation temperature control adjustment.
Various changes and specific examples of the digital collaborative tracking method for cold-chain logistics in the first embodiment of fig. 1 are also applicable to the digital collaborative tracking system for cold-chain logistics in this embodiment, and through the foregoing detailed description of the digital collaborative tracking method for cold-chain logistics, those skilled in the art can clearly know the implementation method of the digital collaborative tracking system for cold-chain logistics in this embodiment, so for the sake of brevity of the description, detailed descriptions are not provided here.
EXAMPLE III
The electronic device of the present application is described below with reference to fig. 6.
Fig. 6 illustrates a schematic structural diagram of an electronic device according to the present application.
Based on the inventive concept of the digital cooperative tracing method for cold-chain logistics in the foregoing embodiments, the present invention further provides a digital cooperative tracing system for cold-chain logistics, in which a computer program is stored, and when the computer program is executed by a processor, the steps of any one of the foregoing methods of the digital cooperative tracing system for cold-chain logistics are implemented.
Where in fig. 6 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other systems over a transmission medium. The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
The embodiment of the application provides a digital collaborative tracing method for cold-chain logistics, which is applied to a digital collaborative tracing system for cold-chain logistics, wherein the system is in communication connection with a warehouse management platform, and the method comprises the following steps: determining a first product record state based on the product management information of the warehousing management platform; obtaining a first activation instruction according to the first product recording state; activating a tracing management module to execute product tracing according to the first activation instruction, wherein the tracing management module comprises a plurality of management units, the management units comprise a product management unit, a transportation management unit, a temperature control management unit and an early warning management unit, and the product management unit, the transportation management unit, the temperature control management unit and the early warning management unit have a first cooperative connection relationship; inputting first early warning attribute information into the early warning management unit, and obtaining transportation tracing information and temperature control tracing information which are respectively output by the transportation management unit and the temperature control management unit by combining the product management unit; constructing a first product tracing information chain according to the corresponding relation between the transportation tracing information and the temperature control tracing information; and obtaining first output information of the early warning management unit according to the first product tracing information chain, and marking the product state according to the first output information. The technical problems that in the prior art, tracing of cold chain logistics is not perfect enough, tracing flexibility and operability are weak, and accordingly high-quality tracing management quality of cold chain logistics is difficult to achieve are solved, the product state is traced through the connection warehouse management platform, flexible and variable tracing data management is achieved by adopting a cooperative tracing management module mode, and data dynamics and high availability are improved by adopting a cooperative tracing mode.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. A digital collaborative tracing method for cold-chain logistics is characterized in that the method is applied to a digital collaborative tracing system for cold-chain logistics, the system is in communication connection with a warehouse management platform, and the method comprises the following steps:
determining a first product record state based on the product management information of the warehousing management platform;
obtaining a first activation instruction according to the first product recording state;
activating a tracing management module to execute product tracing according to the first activation instruction, wherein the tracing management module comprises a plurality of management units, the management units comprise a product management unit, a transportation management unit, a temperature control management unit and an early warning management unit, and the product management unit, the transportation management unit, the temperature control management unit and the early warning management unit have a first cooperative connection relationship;
inputting first early warning attribute information into the early warning management unit, and obtaining transportation tracing information and temperature control tracing information which are respectively output by the transportation management unit and the temperature control management unit by combining the product management unit;
constructing a first product tracing information chain according to the corresponding relation between the transportation tracing information and the temperature control tracing information;
obtaining first output information of the early warning management unit according to the first product tracing information chain;
and marking the product state according to the first output information.
2. The method of claim 1, wherein the method further comprises:
the product management unit is a first-stage unit, the transportation management unit and the temperature control management unit are second-stage units, the early warning management unit is a third-stage unit, data of the first-stage unit is used for being transmitted to the second-stage unit, data of the second-stage unit is used for being transmitted to the third-stage unit, and data interaction can be realized in the second-stage unit;
the early warning management unit is connected with a model calling library, and calls a first matching model from the model calling library to perform data analysis on the first product tracing information chain according to the first early warning attribute information to obtain a first early warning analysis result;
and outputting the first early warning analysis result as the first output information through the early warning management unit.
3. The method of claim 2, wherein the method further comprises:
comprehensively analyzing the early warning information of the cold-chain logistics based on the big data, and determining an early warning attribute set;
obtaining a filtering early warning attribute set by constraining the early warning attribute set;
constructing a model corresponding to the early warning attribute according to each early warning attribute category in the filtering early warning attribute set;
and generating the model calling library according to the model corresponding to the early warning attribute.
4. The method of claim 3, wherein the filtered early warning attribute set is obtained by constraining the early warning attribute set, the method further comprising:
carrying out importance analysis on early warning information of cold-chain logistics based on big data to generate an importance index set, wherein the early warning attribute set corresponds to the importance index set one by one;
sorting the importance index sets according to a first sorting rule, and determining the first N index sets in the importance index sets;
obtaining N early warning attribute sets corresponding to the first N index sets;
and taking the N early warning attribute sets as the filtering early warning attribute set.
5. The method of claim 3, wherein the method further comprises:
performing structural analysis on the filtering early warning attribute set according to the attribute dependency relationship to construct a first attribute connection map;
acquiring second early warning attribute information;
judging whether the second early warning attribute information and the first early warning attribute information have an attribute dependency relationship or not according to the first attribute connection map;
if the second early warning attribute information and the first early warning attribute information have an attribute dependency relationship, taking the first output information corresponding to the first early warning attribute information as part of basic information of the second early warning attribute information, and obtaining second output information corresponding to the second early warning attribute information;
and marking the product state for the second time according to the second output information.
6. The method of claim 2, wherein the method further comprises:
acquiring first transportation vehicle-mounted information and first transportation line information according to the transportation management unit;
inputting the first transportation vehicle-mounted information and the first transportation line information into the temperature control management unit, and constructing temperature monitoring sampling points, wherein the temperature monitoring sampling points comprise sampling position points and sampling time points;
and the temperature control management unit realizes temperature monitoring according to the temperature monitoring sampling points.
7. The method of claim 6, wherein the method further comprises:
the temperature control management unit realizes temperature monitoring according to the temperature monitoring sampling point to obtain first temperature monitoring data;
carrying out transportation temperature control quality analysis according to the first temperature monitoring data to obtain transportation temperature control quality, and generating first transportation temperature control adjustment information if the transportation temperature control quality is smaller than a preset transportation temperature control quality;
and inputting the first transportation temperature control adjustment information into the transportation management unit for transportation temperature control adjustment.
8. A digital collaborative traceability system of cold-chain logistics is characterized in that the system comprises:
the warehouse management system comprises a first determining unit, a second determining unit and a control unit, wherein the first determining unit is used for determining a first product record state based on product management information of a warehouse management platform;
the first obtaining unit is used for obtaining a first activation instruction according to the first product recording state;
the product tracing management module comprises a plurality of management units, the management units comprise a product management unit, a transportation management unit, a temperature control management unit and an early warning management unit, and the product management unit, the transportation management unit, the temperature control management unit and the early warning management unit have a first cooperative connection relationship;
the first input unit is used for inputting first early warning attribute information into the early warning management unit, and acquiring transportation tracing information and temperature control tracing information which are respectively output by the transportation management unit and the temperature control management unit by combining the product management unit;
the first construction unit is used for constructing a first product traceability information chain according to the corresponding relation between the transportation traceability information and the temperature control traceability information;
the second obtaining unit is used for obtaining first output information of the early warning management unit according to the first product tracing information chain;
the first marking unit is used for marking the product state according to the first output information.
9. An electronic device, comprising a processor and a memory:
the memory is used for storing;
the processor is configured to execute the method of any one of claims 1-7 by calling.
10. A computer program product comprising a computer program and/or instructions, characterized in that the computer program and/or instructions, when executed by a processor, implement the steps of the method of any one of claims 1-7.
CN202111556894.9A 2021-12-18 2021-12-18 Digital collaborative tracing method and system for cold-chain logistics Pending CN114186944A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114819862A (en) * 2022-06-27 2022-07-29 中国信息通信研究院 Cold-chain logistics tracing service method, system and storage medium
WO2024027086A1 (en) * 2022-08-02 2024-02-08 北新集团建材股份有限公司 Anti-counterfeiting tracing method for gypsum board product and system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114819862A (en) * 2022-06-27 2022-07-29 中国信息通信研究院 Cold-chain logistics tracing service method, system and storage medium
WO2024027086A1 (en) * 2022-08-02 2024-02-08 北新集团建材股份有限公司 Anti-counterfeiting tracing method for gypsum board product and system

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