A digital collaborative traceability method and system for cold chain logistics

Abstract

The present invention discloses a digital collaborative traceability method and system for cold chain logistics, the method comprising: obtaining a first product record status based on a warehouse management platform; activating a traceability management module to perform product traceability according to the first product record status, wherein the traceability management module comprises a plurality of management units, and the plurality of management units have a first collaborative connection relationship; inputting the first warning attribute information into the warning management unit, combining the product management unit, obtaining transportation traceability information and temperature control traceability information; constructing a first product traceability information chain according to the correspondence between the transportation traceability information and the temperature control traceability information; obtaining a first output information to mark the product status according to the first product traceability information chain. The method solves the technical problems in the prior art that the traceability of cold chain logistics is not perfect, the traceability flexibility and operability are weak, and thus it is difficult for cold chain logistics to achieve high-quality traceability management quality.

Description

Technical Field

[0001] The present invention relates to fields related to logistics management, and in particular to a digital collaborative tracing method and system for cold chain logistics. Background Art

[0002] At present, with the rapid development of the cold chain logistics industry, people have a great demand for the transportation of fresh food or commodities. Among them, cold chain logistics refers to the logistics process of distributing some special demand commodities, which requires ensuring that the distribution link is in a specified low temperature environment to ensure the quality.

[0003] During the distribution process, the automated monitoring and tracing of cold chain logistics can ensure the quality of goods during the distribution process, improve the distribution service level, and meet user needs. At present, there is no relatively standard monitoring system for the transportation process of cold chain logistics. Therefore, how to improve the cold chain logistics traceability system is the main research direction at present.

[0004] However, the existing technology has the technical problem that the cold chain logistics traceability is not perfect, and the traceability flexibility and operability are weak, which makes it difficult for cold chain logistics to achieve high-quality traceability management. Summary of the invention

[0005] In response to the defects in the prior art, the purpose of this application is to provide a digital collaborative traceability method and system for cold chain logistics, which solves the technical problems in the prior art that the traceability of cold chain logistics is not perfect, the traceability flexibility and operability are weak, and thus it is difficult to achieve high-quality traceability management quality in cold chain logistics. The application achieves the technical effect of tracking the product status by connecting to the warehousing management platform, and realizing flexible and changeable traceability data management by means of a collaborative traceability management module, thereby improving data dynamics and high availability through collaborative traceability.

[0006] On the one hand, the present application provides a digital collaborative traceability method for cold chain logistics, the method is applied to a digital collaborative traceability system for cold chain logistics, the system is communicatively connected to a warehouse management platform, the method includes: determining a first product record status based on product management information of the warehouse management platform; obtaining a first activation instruction according to the first product record status; activating a traceability management module according to the first activation instruction to perform product traceability, wherein the traceability management module includes multiple management units, the multiple 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 collaborative connection relationship; inputting first early warning attribute information into the early warning management unit, combining with the product management unit, obtaining transportation traceability information and temperature control traceability information output by the transportation management unit and the temperature control management unit respectively; constructing a first product traceability information chain according to the correspondence between the transportation traceability information and the temperature control traceability information; obtaining first output information of the early warning management unit according to the first product traceability information chain, and marking the product status according to the first output information.

[0007] On the other hand, the present application also provides a digital collaborative traceability system for cold chain logistics, the system comprising: a first determination unit, the first determination unit is used to determine the record status of a first product based on product management information of a warehouse management platform; a first acquisition unit, the first acquisition unit is used to obtain a first activation instruction according to the record status of the first product; a first activation unit, the first activation unit is used to activate the traceability management module according to the first activation instruction to perform product traceability, wherein the traceability management module comprises a plurality of management units, the plurality of 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 collaborative connection relationship; a first input unit, the first input unit is used to input the first early warning attribute information into the early warning management unit, and in combination with the product management unit, obtain the transportation traceability information and the temperature control traceability information output by the transportation management unit and the temperature control management unit respectively; a first construction unit, the first construction unit is used to construct a first product traceability information chain according to the correspondence between the transportation traceability information and the temperature control traceability information; a second obtaining unit, the second obtaining unit is used to obtain the first output information of the early warning management unit according to the first product traceability information chain; a first marking unit, the first marking unit is used to mark the product status according to the first output information.

[0008] In a third aspect, the present application provides a digital collaborative traceability system for cold chain logistics, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of any one of the methods described in the first aspect when executing the program.

[0009] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0010] 1. By analyzing the product information in the logistics and warehousing management platform and judging whether the traceability management module needs to be activated according to the product record status to perform traceability, the first warning attribute information is obtained, and the first warning attribute information is input into the warning management unit, and the traceability information in the material transportation management unit and the temperature control management unit is extracted in combination with the product information in the product management unit to construct the first product traceability information chain, so that the warning status of the product can be analyzed according to the constructed first product traceability information chain and the corresponding analysis and warning model, so as to realize the status marking of the product, which is convenient for the subsequent comprehensive management of product transportation. The technical effect of tracking the product status by connecting to the warehousing management platform and realizing flexible and changeable traceability data management by adopting the collaborative traceability management module is achieved, and the data dynamics and high availability are improved by collaborative traceability.

[0011] 2. By building collaborative connection relationships for all collaborative units in the traceability management module, designing grading based on their collaborative connection relationships, and then realizing data transmission, the technical effect of improving the logic and process systematization of the data traceability process is achieved.

[0012] 3. By configuring the early warning attribute module and the model call library, matching is achieved from the model call library according to the selection of attribute information, and the attribute information is graphed through its dependency relationship, which further improves the high-availability processing of product traceability data, thereby improving its digital traceability processing effect.

[0013] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0015] Figure 1 A schematic diagram of a process flow of a digital collaborative traceability method for cold chain logistics according to an embodiment of the present application;

[0016] Figure 2 A schematic diagram of the collaborative connection relationship of a digital collaborative traceability method for cold chain logistics according to an embodiment of the present application;

[0017] Figure 3 A schematic diagram of a flow chart of a model calling library for a digital collaborative traceability method for cold chain logistics according to an embodiment of the present application;

[0018] Figure 4 A schematic diagram of a flow chart of attribute dependency relationship judgment of a digital collaborative traceability method for cold chain logistics in an embodiment of the present application;

[0019] Figure 5 This is a structural schematic diagram of a digital collaborative traceability system for cold chain logistics according to an embodiment of the present application;

[0020] Figure 6 It is a schematic diagram of the structure of an exemplary electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0021] The embodiments of the present application provide a digital collaborative traceability method and system for cold chain logistics, thereby solving the technical problems in the prior art that the traceability of cold chain logistics is not perfect, the traceability flexibility and operability are weak, and thus it is difficult to achieve high-quality traceability management quality in cold chain logistics. The embodiment of the present application achieves the technical effect of tracking the product status by connecting to a warehouse management platform, and realizing flexible and changeable traceability data management by means of a collaborative traceability management module, thereby improving data dynamics and high availability in a collaborative traceability manner.

[0022] Below, the exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application, and it should be understood that the present application is not limited to the exemplary embodiments described here.

[0023] The acquisition, storage, use, and processing of data in the technical solution of this application comply with the relevant provisions of national laws and regulations.

[0024] The improvement of the cold chain logistics transportation network has brought about the convenience of cargo transportation and the reduction of logistics costs. At present, the cold chain monitoring system of the existing technology for the entire industrial chain system has not yet been formed, and the cold chain logistics traceability system is not perfect, lacks traceability flexibility, and has weak operability, which leads to technical problems that cold chain logistics is difficult to achieve high-quality traceability management quality. By providing a cold chain digital collaborative traceability method, the various distribution units in the traceability management module are collaboratively connected, and according to their collaborative connection relationship, the digital processing of product traceability data is improved, the system logic of product traceability is realized, and the traceability data processing efficiency and service quality are increased.

[0025] In response to the above technical problems, the overall idea of ​​the technical solution provided by this application is as follows:

[0026] The embodiment of the present application provides a digital collaborative traceability method for cold chain logistics, the method is applied to a digital collaborative traceability system for cold chain logistics, the system is communicatively connected to a warehouse management platform, the method comprises: determining a first product record status based on product management information of the warehouse management platform; obtaining a first activation instruction according to the first product record status; activating a traceability management module according to the first activation instruction to perform product traceability, wherein the traceability management module comprises a plurality of management units, the plurality of 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 collaborative connection relationship; inputting first early warning attribute information into the early warning management unit, combining with the product management unit, obtaining transportation traceability information and temperature control traceability information respectively output by the transportation management unit and the temperature control management unit; constructing a first product traceability information chain according to the correspondence between the transportation traceability information and the temperature control traceability information; obtaining first output information of the early warning management unit according to the first product traceability information chain, and marking the product status according to the first output information.

[0027] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0028] Embodiment 1

[0029] like Figure 1 As shown, an embodiment of the present application provides a digital collaborative traceability method for cold chain logistics, the method is applied to a digital collaborative traceability system for cold chain logistics, the system is communicatively connected to a warehouse management platform, and the method includes:

[0030] Step S100: determining a first product record status based on the product management information of the warehouse management platform;

[0031] Specifically, the warehouse management platform is a logistics warehouse storage management platform, which can manage the storage and delivery of products stored in the warehouse, generally by designing QR codes or electronic tags for the products. Therefore, the system can further control the transportation status of the products by connecting to the warehouse storage management platform, and because the basic information of each product is stored in the warehouse management platform, it can construct a first product record status based on the product refrigeration feature information of the cold chain logistics, wherein the first product record status includes information such as the outbound record status and the inbound record status, thereby realizing product traceability.

[0032] Step S200: obtaining a first activation instruction according to the first product record status;

[0033] Specifically, since the first product record status is the product record status of a certain product after storage in the warehouse, including various record information such as warehousing time, storage time, and outbound time, when the product is in the transportation order summary and executes the outbound operation to enter the logistics transportation link, the first product record status includes the corresponding order, transportation record, outbound record and other information. When the first product record status is changed to the outbound status, the first activation instruction is obtained to realize the intelligent activation traceability of the product.

[0034] Step S300: activating the traceability management module to perform product traceability according to the first activation instruction, wherein the traceability 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 collaborative connection relationship;

[0035] Specifically, the first product record status is the basic trigger condition for cold chain logistics traceability. When the product record status is changed to outbound, a first activation instruction is issued to the traceability management module of the system, so as to construct the traceability information chain of the product in the traceability management module, wherein the traceability management module includes a product management unit, a transportation management unit and a temperature control management unit. The product management unit transmits the product management information in the warehouse management platform according to the activation instruction to construct the cold chain characteristic information of the product, such as product type, product storage stability, refrigeration conditions and other information; the transportation management unit traces the information of the product during cold chain transportation and distribution to construct the cold chain characteristic information of transportation, such as transportation vehicles, transportation duration, transportation routes and other information; the temperature control management unit traces the monitoring temperature data corresponding to each location of the product during transportation to construct the cold chain characteristic information of temperature control, such as vehicle-mounted inner wall temperature measurement data, real-time temperature monitoring data and other information.

[0036] Furthermore, the traceability management module also includes an early warning management unit, wherein the early warning management unit implements function execution based on all information in the traceability management module, and uses the product management unit, the transportation management unit, and the temperature control management unit to construct a traceability information module of the traceability management module, and uses the early warning management unit as a function execution module to construct the traceability management module. Moreover, there is a first collaborative connection relationship between the product management unit, the transportation management unit, the temperature control management unit, and the early warning management unit, which is a diamond structure, and can realize data interaction, thereby achieving collaborative traceability and improving the accuracy and usability of traceability information.

[0037] Step S400: inputting the first warning attribute information into the warning management unit, combining with the product management unit, obtaining the transportation traceability information and the temperature control traceability information output by the transportation management unit and the temperature control management unit respectively;

[0038] Step S500: constructing a first product traceability information chain according to the correspondence between the transportation traceability information and the temperature control traceability information;

[0039] Specifically, the first warning attribute information is the warning attribute information selected by the user. Since the warning of cold chain logistics includes multiple warning types such as temperature fluctuation warning, product loss warning, and transportation temperature risk warning, the user inputs the selected first warning attribute information based on the main direction of the enterprise. The warning management unit receives the first warning attribute information and obtains the transportation traceability information chain obtained from the transportation management unit and the temperature control traceability information chain obtained from the temperature control management unit according to the first warning attribute information according to the type of its warning and the product information, wherein the transportation traceability information chain and the temperature control traceability information chain are filtered information chains that can effectively represent the required information of the first warning attribute information, and connect the transportation traceability information and the temperature control traceability information with the positioning information as the intermediate information to form the first product traceability information chain and the double-sequence information chain, and then realize the subsequent warning output according to the first product traceability chain.

[0040] Step S600: obtaining first output information of the early warning management unit according to the first product traceability information chain;

[0041] Step S700: Mark the product status according to the first output information.

[0042] Specifically, since the product management unit in the early warning management unit, the temperature control management unit and the early warning management unit have a first collaborative connection relationship, the unit data therein can achieve collaborative promotion. Therefore, according to the first output information obtained, the transportation status of the product can be marked to achieve the final transportation product record, which is conducive to the directional analysis of enterprise products and provides basic data for the next enterprise decision. For example, when the first early warning attribute information is a product loss risk warning, according to the product loss risk warning, the suitable storage temperature and unit price of the product are extracted according to the product management unit, and the model calculation is performed based on its real-time transportation vehicle information, positioning information and temperature information as input information to achieve the output information of the temperature control risk warning. When the risk of product loss is relatively large, according to its real-time calculated economic loss benefits, it is located and periodically read from the first product traceability information chain, and the decision-making supply and high availability of data can be achieved based on the traceability information, thereby improving the accuracy of the traceability information.

[0043] Further, such as Figure 2 As shown, step S300 of the embodiment of the present application also includes:

[0044] Step S310: 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 the data of the first-level unit is used to be transmitted to the second-level unit, and the data of the second-level unit is used to be transmitted to the third-level unit, and the data in the second-level unit can realize data exchange;

[0045] Step S320: the early warning management unit is connected to the model calling library, and according to the first early warning attribute information, calls the first matching model from the model calling library to perform data analysis on the first product traceability information chain to obtain a first early warning analysis result;

[0046] Step S330: outputting the first warning analysis result as the first output information through the warning management unit.

[0047] Specifically, the product management unit in the traceability management module is used as the 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, that is, the data of the first-level unit and the data of the second-level unit can realize data-directional transmission, and the data of the second-level unit and the data of the third-level unit can realize data-directional transmission. In detail, the 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 the data in the transportation management unit in the second-level unit and the temperature control management unit can exchange data, thereby forming a collaborative processing relationship between the units.

[0048] Furthermore, the model call library stores multiple early warning models. According to the early warning attribute information selected and input by the user, the model matching of the corresponding early warning attribute is performed from the model call library, so as to obtain the first matching model, and then the product traceability information chain screened based on the first early warning attribute information is input into the first matching model for model training, so as to output the first early warning analysis result, wherein the first early warning analysis result is the first output information, and then the product status is marked. A collaborative connection relationship is constructed for all collaborative units in the traceability management module, and a classification is designed according to the collaborative connection relationship, and then the data transmission method is realized, so as to achieve the technical effect of improving the logic and process systematization in the data traceability process.

[0049] Further, such as Figure 3 As shown, step S320 of the embodiment of the present application also includes:

[0050] Step S321: Comprehensively analyze the warning information of cold chain logistics based on big data to determine a warning attribute set;

[0051] Step S322: Obtaining a filtered warning attribute set by constraining the warning attribute set;

[0052] Step S323: constructing a model corresponding to each warning attribute category in the filtered warning attribute set;

[0053] Step S324: Generate the model call library according to the model corresponding to the warning attribute.

[0054] Specifically, based on big data, a comprehensive analysis of warning information is conducted in combination with the attributes of logistics enterprises to determine all categories of warning types, generate a warning attribute set, further analyze the enterprises, and conduct importance analysis in combination with their main warning results, so as to filter the warning attribute set according to priority, thereby obtaining the filtered warning attribute set. The filtered warning attribute set can improve the adaptability of the system and logistics enterprises and increase their usable efficiency.

[0055] Furthermore, the models in the model call library are operated on the cloud platform. Implementing model training on the cloud can reduce the computational complexity of the system in computer processing of data, and can utilize the large capacity space of the processor to improve the efficiency of data transmission and processing calculations. Furthermore, in order to improve the pertinence of the model usage library, the model can be directly called and incremental learning can be performed based on the data characteristics of the enterprise itself to improve the model efficiency and accuracy, while making the corresponding model more usable and further improving the accuracy of the output information.

[0056] Furthermore, the filtering warning attribute set is obtained by constraining the warning attribute set. Step S322 of the embodiment of the present application further includes:

[0057] Step S3221: performing importance analysis on the warning information of cold chain logistics based on big data to generate an importance index set, wherein the warning attribute set corresponds to the importance index set one by one;

[0058] Step S3222: sorting the importance index set according to the first sorting rule to determine the first N index sets in the importance index set;

[0059] Step S3223: Obtain N warning attribute sets corresponding to the first N index sets;

[0060] Step S3224: taking the N warning attribute sets as the filtered warning attribute sets.

[0061] Specifically, since the warning attribute set determined in the previous embodiment is warning attribute information obtained through big data, that is, by analyzing the warning attributes existing in the logistics industry, information including various warning functions is obtained. Furthermore, in order to increase the enterprise nature and stickiness between the system and the user, the main service items of the user's logistics company are analyzed, and the importance index analysis is performed based on all the warning information in the warning attribute information set, and the importance index set obtained after the analysis is sorted and the front sequence is extracted to generate the filtered warning attribute set.

[0062] The importance index can realize its comparison function through computers. Specifically, the service type of the enterprise is first analyzed to determine the multiple warning factors that affect the service quality of the enterprise. Then, the warning attribute set is tested for correlation and sorted according to the size of the unit root of the test. In this way, logical filtering can be achieved through mathematical calculations and information importance judgments, thereby improving the fit between the warning attribute set and the enterprise and increasing user stickiness.

[0063] Further, such as Figure 4 As shown, step S322 of the embodiment of the present application also includes:

[0064] Step S3225: performing structural analysis on the filter warning attribute set according to the attribute dependency relationship to construct a first attribute connection graph;

[0065] Step S3226: obtaining second warning attribute information;

[0066] Step S3227: judging whether the second warning attribute information and the first warning attribute information have an attribute dependency relationship according to the first attribute connection graph;

[0067] Step S3228: If the second warning attribute information and the first warning attribute information have an attribute dependency relationship, the first output information corresponding to the first warning attribute information is used as part of the basic information of the second warning attribute information to obtain the second output information corresponding to the second warning attribute information;

[0068] Step S3229: re-mark the product status according to the second output information.

[0069] Specifically, the second warning attribute information is attribute information selected from the filter attribute set, and the second warning attribute information is different from the first warning attribute information. Since there is a dependency relationship in the warning attribute information, the first connection map can be constructed according to the dependency relationship, and then the warning information is indirectly processed to improve the calculation efficiency, increase the usability of the data, and effectively use the analyzed data. For example, if the first warning attribute information is a product temperature warning, and the second warning attribute information is an economic loss warning, generally speaking, the economic loss warning is the economic loss caused by the decline in product quality caused by the decline in product temperature and the reduction in transportation service quality. When the product temperature drops and the warning is issued, the temperature warning information obtained according to the model of the temperature measurement warning attribute includes the number of temperature warnings, the temperature warning stage, and the temperature difference. The economic loss warning is based on the model of the temperature measurement warning attribute, and the analysis of the economic loss model is further realized according to the information output by the temperature warning.

[0070] By configuring the early warning attribute module and the model call library, matching is achieved from the model call library according to the selection of attribute information, and the attribute information is used to construct a map through its dependency relationship, further improving the high-availability processing of product traceability data, thereby improving its digital traceability processing effect.

[0071] Furthermore, step S310 of the embodiment of the present application further includes:

[0072] Step S311: obtaining first transport vehicle information and first transport route information according to the transport management unit;

[0073] Step S312: inputting the first transport vehicle information and the first transport route information into the temperature control management unit to construct a temperature monitoring sampling point, wherein the temperature monitoring sampling point includes a sampling location point and a sampling time point;

[0074] Step S313: the temperature control management unit implements temperature monitoring according to the temperature monitoring sampling points.

[0075] Specifically, according to the vehicle information and transportation positioning information stored in the transportation management unit, the first transportation vehicle information and the first transportation route information are determined, wherein the first transportation vehicle information is the vehicle information of the traceable first product, and then according to the transportation order and the destination, the temperature of the vehicle at different locations on the route is continuously measured in combination with the transportation positioning information. Therefore, since the transportation management unit and the temperature control management unit are second-level units, the data interaction function can be realized, thereby continuously improving the management quality of their own units and improving the output data quality. That is, according to the real-time positioning information of the vehicle transportation input into the temperature control management unit, the temperature sampling point can be determined, and the sampling point includes the sampling point of the vehicle, such as the sampling point location distribution information of the inner wall of the carriage, and the sampling interval time information, etc., thereby realizing the data interaction of the transportation management unit to provide optimization data to the temperature control management unit, and improving the temperature control detection quality of the temperature control management unit. The unit synergy is used to improve the accuracy and decision-making of the unit output data.

[0076] Furthermore, step S310 of the embodiment of the present application further includes:

[0077] Step S314: the temperature control management unit implements temperature monitoring according to the temperature monitoring sampling point to obtain first temperature monitoring data;

[0078] Step S315: performing a transportation temperature control quality analysis according to the first temperature monitoring data to obtain a transportation temperature control quality, and generating first transportation temperature control adjustment information if the transportation temperature control quality is less than a preset transportation temperature control quality;

[0079] Step S316: input the first transport temperature control adjustment information into the transport management unit to perform transport temperature control adjustment.

[0080] Specifically, based on the transportation management unit providing data to the temperature control management unit to optimize the temperature control management unit, further, the first temperature monitoring data output by the temperature control management unit is subjected to data quality preprocessing analysis, that is, when the transportation temperature control quality is less than the preset transportation temperature control quality, it indicates that there is adjustment information of changeable conditions in the current temperature control. Among them, the preset transportation temperature control quality is a temperature control condition preset in advance, and increasing the preset transportation temperature control quality can prevent unnecessary product losses due to poor temperature stability. Therefore, if the transportation temperature control quality is less than the preset transportation temperature control quality, the first transportation temperature control adjustment information is generated, and the first transportation temperature control adjustment information is input into the transportation management unit to intelligently adjust the temperature control of the refrigerated vehicle, thereby realizing data interaction of the temperature control management unit, and providing the transportation management unit with a method of optimizing data, thereby improving the transportation stability quality of the transportation management unit and achieving the technical effect of digital logistics collaborative traceability.

[0081] Compared with the prior art, the present invention has the following beneficial effects:

[0082] 1. By analyzing the product information in the logistics and warehousing management platform and judging whether the traceability management module needs to be activated according to the product record status to perform traceability, the first warning attribute information is obtained, and the first warning attribute information is input into the warning management unit, and the traceability information in the material transportation management unit and the temperature control management unit is extracted in combination with the product information in the product management unit to construct the first product traceability information chain, so that the warning status of the product can be analyzed according to the constructed first product traceability information chain and the corresponding analysis and warning model, so as to realize the status marking of the product, which is convenient for the subsequent comprehensive management of product transportation. The technical effect of tracking the product status by connecting to the warehousing management platform and realizing flexible and changeable traceability data management by adopting the collaborative traceability management module is achieved, and the data dynamics and high availability are improved by collaborative traceability.

[0083] 2. By building collaborative connection relationships for all collaborative units in the traceability management module, designing grading based on their collaborative connection relationships, and then realizing data transmission, the technical effect of improving the logic and process systematization of the data traceability process is achieved.

[0084] 3. By configuring the early warning attribute module and the model call library, matching is achieved from the model call library according to the selection of attribute information, and the attribute information is graphed through its dependency relationship, which further improves the high-availability processing of product traceability data, thereby improving its digital traceability processing effect.

[0085] Embodiment 2

[0086] Based on the same inventive concept as the digital collaborative tracing method for cold chain logistics in the aforementioned embodiment, the present invention also provides a digital collaborative tracing system for cold chain logistics, such as Figure 5 As shown, the system comprises:

[0087] A first determining unit 11, the first determining unit 11 is used to determine the first product record status based on the product management information of the warehouse management platform;

[0088] A first obtaining unit 12, the first obtaining unit 12 is used to obtain a first activation instruction according to the first product record status, wherein the first activation instruction is used to activate the traceability management module to perform product traceability;

[0089] A first activation unit 13, the first activation unit 13 is used to activate the traceability management module to perform product traceability according to the first activation instruction, wherein the traceability 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 collaborative connection relationship;

[0090] A first input unit 14, the first input unit 14 is used to input the first warning attribute information into the warning management unit, and in combination with the product management unit, obtain the transportation traceability information and the temperature control traceability information output by the transportation management unit and the temperature control management unit respectively;

[0091] A first construction unit 15, the first construction unit 15 is used to construct a first product traceability information chain according to the correspondence between the transportation traceability information and the temperature control traceability information;

[0092] A second obtaining unit 16, the second obtaining unit 16 is used to obtain the first output information of the early warning management unit according to the first product traceability information chain;

[0093] The first marking unit 17 is used to mark the product status according to the first output information.

[0094] Furthermore, the system also includes:

[0095] The first collaborative unit is used for the product management unit as a first-level unit, the transportation management unit and the temperature control management unit as second-level units, and the early warning management unit as a third-level unit, wherein the data of the first-level unit is used to be transmitted to the second-level unit, and the data of the second-level unit is used to be transmitted to the third-level unit, and the data in the second-level unit can realize data interaction;

[0096] a third obtaining unit, wherein the third obtaining unit is used to connect the early warning management unit with the model calling library, and according to the first early warning attribute information, call a first matching model from the model calling library to perform data analysis on the first product traceability information chain to obtain a first early warning analysis result;

[0097] a first output unit, the first output unit being configured to output the first warning analysis result as the first output information through the warning management unit;

[0098] Furthermore, the system also includes:

[0099] A first determining unit, the first determining unit is used to perform a comprehensive analysis on the warning information of cold chain logistics based on big data to determine a warning attribute set;

[0100] A fourth obtaining unit, the fourth obtaining unit is used to obtain a filtered warning attribute set by constraining the warning attribute set;

[0101] A second construction unit, the second construction unit is used to construct a model corresponding to the warning attribute according to each warning attribute category in the filtered warning attribute set;

[0102] A first generating unit, wherein the first generating unit is used to generate the model calling library according to the model corresponding to the warning attribute.

[0103] Furthermore, the system also includes:

[0104] A second generating unit, the second generating unit is used to perform importance analysis on the warning information of cold chain logistics based on big data to generate an importance index set, wherein the warning attribute set corresponds to the importance index set one by one;

[0105] A second determining unit, the second determining unit is used to sort the importance index set according to a first sorting rule to determine the first N index sets in the importance index set;

[0106] A fifth obtaining unit, the fifth obtaining unit is used to obtain N warning attribute sets corresponding to the first N index sets;

[0107] A first operating unit, wherein the first operating unit is configured to use the N warning attribute sets as the filtered warning attribute sets.

[0108] Furthermore, the system also includes:

[0109] A third construction unit, the third construction unit is used to perform structural analysis on the filter warning attribute set according to the attribute dependency relationship to construct a first attribute connection graph;

[0110] A sixth obtaining unit, the sixth obtaining unit being used to obtain second warning attribute information;

[0111] a first judgment unit, the first judgment unit being used to judge whether the second warning attribute information and the first warning attribute information have an attribute dependency relationship according to the first attribute connection graph;

[0112] A seventh obtaining unit, wherein if the second warning attribute information and the first warning attribute information have an attribute dependency relationship, the seventh obtaining unit is used to use the first output information corresponding to the first warning attribute information as part of the basic information of the second warning attribute information to obtain the second output information corresponding to the second warning attribute information.

[0113] Furthermore, the system also includes:

[0114] an eighth obtaining unit, the eighth obtaining unit being used to obtain first transport vehicle information and first transport route information according to the transport management unit;

[0115] a third construction unit, the third construction unit being used to input the first transport vehicle information and the first transport route information into the temperature control management unit to construct a temperature monitoring sampling point, wherein the temperature monitoring sampling point includes a sampling location point and a sampling time point;

[0116] The first monitoring unit is used by the temperature control management unit to implement temperature monitoring according to the temperature monitoring sampling point.

[0117] Furthermore, the system also includes:

[0118] A ninth obtaining unit, wherein the ninth obtaining unit is used for the temperature control management unit to implement temperature monitoring according to the temperature monitoring sampling point to obtain first temperature monitoring data;

[0119] a third generating unit, the third generating unit being configured to perform a transportation temperature control quality analysis according to the first temperature monitoring data to obtain the transportation temperature control quality, and to generate first transportation temperature control adjustment information if the transportation temperature control quality is less than a preset transportation temperature control quality;

[0120] The first adjustment unit is used to input the first transportation temperature control adjustment information into the transportation management unit to perform transportation temperature control adjustment.

[0121] The foregoing Figure 1 The various variations and specific examples of the digital collaborative tracing method for cold-chain logistics in Example 1 are also applicable to the digital collaborative tracing system for cold-chain logistics in this embodiment. Through the above detailed description of the digital collaborative tracing method for cold-chain logistics, those skilled in the art can clearly understand the implementation method of the digital collaborative tracing system for cold-chain logistics in this embodiment. Therefore, for the sake of brevity of the specification, it will not be described in detail here.

[0122] Embodiment 3

[0123] Reference below Figure 6 To describe the electronic device of the present application.

[0124] Figure 6 The figure shows a schematic structural diagram of an electronic device according to the present application.

[0125] Based on the inventive concept of a digital collaborative traceability method for cold chain logistics in the aforementioned embodiment, the present invention also provides a digital collaborative traceability system for cold chain logistics, on which a computer program is stored, and when the program is executed by a processor, the steps of any method of the digital collaborative traceability system for cold chain logistics described above are implemented.

[0126] Among them, Figure 6 In the embodiment of the present invention, a bus architecture (represented by bus 300) is shown, which may include any number of interconnected buses and bridges, and bus 300 links various circuits including one or more processors represented by processor 302 and memory represented by memory 304. Bus 300 may also link various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are not further described herein. Bus interface 305 provides an interface between bus 300 and receiver 301 and transmitter 303. Receiver 301 and transmitter 303 may be the same element, namely a transceiver, providing a unit for communicating with various other systems over a transmission medium. Processor 302 is responsible for managing bus 300 and general processing, while memory 304 may be used to store data used by processor 302 when performing operations.

[0127] The embodiment of the present application provides a digital collaborative traceability method for cold chain logistics, the method is applied to a digital collaborative traceability system for cold chain logistics, the system is communicatively connected to a warehouse management platform, the method comprises: determining a first product record status based on product management information of the warehouse management platform; obtaining a first activation instruction according to the first product record status; activating a traceability management module according to the first activation instruction to perform product traceability, wherein the traceability management module comprises a plurality of management units, the plurality of 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 collaborative connection relationship; inputting first early warning attribute information into the early warning management unit, combining with the product management unit, obtaining transportation traceability information and temperature control traceability information respectively output by the transportation management unit and the temperature control management unit; constructing a first product traceability information chain according to the correspondence between the transportation traceability information and the temperature control traceability information; obtaining first output information of the early warning management unit according to the first product traceability information chain, and marking the product status according to the first output information. The invention solves the technical problems in the prior art that the cold chain logistics traceability is not perfect, the traceability flexibility and operability are weak, and thus it is difficult to achieve high-quality traceability management quality in cold chain logistics. The invention achieves the technical effect of tracking the product status by connecting to the warehouse management platform, and realizing flexible and changeable traceability data management by adopting the collaborative traceability management module, thereby improving the data dynamics and high availability in a collaborative traceability manner.

[0128] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0129] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A system that specifies the functions of a box or boxes.

[0130] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction system, which is implemented in the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0131] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0132] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0133] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these 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 these modifications and variations.

Claims

1. A digital collaborative traceability method for cold chain logistics, characterized in that: The method is applied to a digital collaborative traceability system for cold chain logistics, the system is communicatively connected with a warehouse management platform, and the method includes: Determining a first product record status based on the product management information of the warehouse management platform; Obtaining a first activation instruction according to the first product record status; activating a traceability management module to perform product traceability according to the first activation instruction, wherein the traceability 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 collaborative connection relationship; Inputting the first warning attribute information into the warning management unit, and combining with the product management unit, obtaining the transportation traceability information and the temperature control traceability information output by the transportation management unit and the temperature control management unit respectively; Constructing a first product traceability information chain according to the correspondence between the transportation traceability information and the temperature control traceability information; Obtaining first output information of the early warning management unit according to the first product traceability information chain; Marking a product status according to the first output information; 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. The data of the first-level unit is used to be transmitted to the second-level unit, and the data of the second-level unit is used to be transmitted to the third-level unit, and the data in the second-level unit can realize data interaction; The early warning management unit is connected to the model calling library, and according to the first early warning attribute information, calls a first matching model from the model calling library to perform data analysis on the first product traceability information chain to obtain a first early warning analysis result; Outputting the first warning analysis result as the first output information through the warning management unit; Among them, the early warning information of cold chain logistics is comprehensively analyzed based on big data to determine the early warning attribute set; Obtaining a filtered warning attribute set by constraining the warning attribute set; According to each warning attribute category in the filtered warning attribute set, a model of the corresponding warning attribute is constructed; Generate the model call library according to the model corresponding to the warning attribute; Wherein, the filtering warning attribute set is obtained by constraining the warning attribute set, and the method further comprises: Based on big data, importance analysis is performed on the warning information of cold chain logistics to generate an importance index set, wherein the warning attribute set corresponds to the importance index set one by one; Sorting the importance index set according to a first sorting rule to determine the top N index sets in the importance index set; Obtaining N warning attribute sets corresponding to the first N index sets; Using the N warning attribute sets as the filtered warning attribute sets; The filtering warning attribute set is structurally analyzed according to the attribute dependency relationship to construct a first attribute connection graph; Obtaining second warning attribute information; According to the first attribute connection graph, determining whether the second warning attribute information and the first warning attribute information have an attribute dependency relationship; If the second warning attribute information and the first warning attribute information have an attribute dependency relationship, taking the first output information corresponding to the first warning attribute information as part of the basic information of the second warning attribute information, to obtain the second output information corresponding to the second warning attribute information; The product status is re-marked according to the second output information.

2. The method according to claim 1, characterized in that The method further comprises: According to the transport management unit, obtaining first transport vehicle information and first transport route information; Inputting the first transport vehicle information and the first transport route information into the temperature control management unit to construct a temperature monitoring sampling point, wherein the temperature monitoring sampling point includes a sampling location point and a sampling time point; The temperature control management unit implements temperature monitoring according to the temperature monitoring sampling points.

3. The method according to claim 2, characterized in that The method further comprises: The temperature control management unit implements temperature monitoring according to the temperature monitoring sampling point to obtain first temperature monitoring data; Performing a transportation temperature control quality analysis according to the first temperature monitoring data to obtain a transportation temperature control quality, and generating first transportation temperature control adjustment information if the transportation temperature control quality is less than a preset transportation temperature control quality; The first transport temperature control adjustment information is input into the transport management unit to perform transport temperature control adjustment.

4. A digital collaborative traceability system for cold chain logistics, characterized in that: The system is used to perform the method according to any one of claims 1 to 3, and the system comprises: A first determining unit, the first determining unit being used to determine a first product record status based on product management information of a warehouse management platform; a first obtaining unit, the first obtaining unit being configured to obtain a first activation instruction according to the first product record status; a first activation unit, the first activation unit being used to activate a traceability management module to perform product traceability according to the first activation instruction, wherein the traceability management module comprises a plurality of management units, the plurality of management units comprising 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 collaborative connection relationship; A first input unit, the first input unit is used to input the first warning attribute information into the warning management unit, and in combination with the product management unit, obtain the transportation traceability information and the temperature control traceability information output by the transportation management unit and the temperature control management unit respectively; A first construction unit, the first construction unit is used to construct a first product traceability information chain according to the correspondence between the transportation traceability information and the temperature control traceability information; a second obtaining unit, the second obtaining unit being used to obtain first output information of the early warning management unit according to the first product traceability information chain; A first marking unit, wherein the first marking unit is used to mark a product status according to the first output information.

5. An electronic device, characterized in that: It comprises a processor and a memory: the memory is used for storing; the processor is used for executing the method according to any one of claims 1 to 3 by calling.

6. A computer program product comprising a computer program and / or instructions, characterized in that: When the computer program and / or the instructions are executed by a processor, the steps of the method according to any one of claims 1 to 3 are implemented.

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