CN115456541B - Supply chain management method and system for cross-border trade - Google Patents
Supply chain management method and system for cross-border trade Download PDFInfo
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Abstract
The invention provides a supply chain management method and a supply chain management system for cross-border trade, which relate to the technical field of cross-border trade management, acquire a plurality of supply chains, collect languages of linked countries, acquire acquisition results, acquire language fusion models through federal learning, complete contract signing based on trade management platform trade negotiation, conduct trade pre-inspection, conduct cargo transportation when the inspection results are correct, conduct real-time monitoring of cargo transportation based on a sensing positioning device, conduct information conversion encryption and transmission to the trade management platform, conduct data analysis and adjust subsequent trade processes based on analysis results, solve the technical problems that the cross-border trade management method in the prior art is not strict enough in information interaction, is complex in information conversion processing, is insufficient in precision, and has insufficient information transfer privacy to influence the order of trade management, and realize safe and orderly accurate management of cross-border trade.
Description
Technical Field
The invention relates to the technical field of cross-border trade management, in particular to a supply chain management method and system for cross-border trade.
Background
At present, the economic development and the technical development of China are in an innovation period, and compared with developed countries, a certain rising space exists, and cross-border trade is taken as a means for exchanging commodities and labor between countries, and the whole processes of cross-border import-export arrangement, trade mode, trade settlement and the like are included, so that the interaction of economy and science and technology can be realized through the import-export of products, the Chinese economy can be better integrated into the world, and the international status of RMB can be improved, so that the cross-border trade management is important, and the normal and orderly implementation of trade is ensured.
At present, flow supervision is mainly performed through a trade platform, classification supervision is performed through a division module to improve supervision intensity, however, the existing management method still has certain drawbacks, and precise and orderly supervision of cross-border trade cannot be realized.
In the prior art, the common cross-border trade management method is not strict in information interaction, the information conversion processing is complicated and the accuracy is not enough, and meanwhile, the information transmission privacy is deficient so as to influence the order of trade management.
Disclosure of Invention
The application provides a supply chain management method and a supply chain management system for cross-border trade, which are used for solving the technical problems that in the prior art, the cross-border trade management method is not strict in information interaction, the information conversion is complicated and not accurate, and meanwhile, the privacy of information transmission is deficient so as to influence the order of trade management.
In view of the foregoing, the present application provides a supply chain management method and system for cross-border commerce.
In a first aspect, the present application provides a supply chain management method for cross-border commerce, the method comprising: collecting cross-border trade service nodes to obtain a plurality of supply chains; based on the plurality of supply chains, carrying out language collection on the linked countries, and carrying out federal learning according to collection results to obtain a language fusion model; transaction negotiation is conducted based on the trade management platform, and contract signing is conducted through a transaction contract is determined; after the transaction contract is uploaded, acquiring a test result through transaction pre-checking, and carrying out cargo transportation when the test result is correct; the real-time monitoring of cargo transmission is carried out based on the sensing positioning device, real-time transmission information is collected, information conversion encryption is carried out, and the information is transmitted to the trade management platform; carrying out data analysis on the real-time transmission information, and carrying out subsequent transaction process adjustment based on analysis results; after goods are docked, confirmation is carried out on the trade management platform, and the platform integrates backup and background storage of trade information.
In a second aspect, the present application provides a supply chain management system for cross-border commerce, the system comprising: the system comprises a supply chain acquisition module, a cross-border trade service node acquisition module and a management module, wherein the supply chain acquisition module is used for acquiring cross-border trade service nodes to acquire a plurality of supply chains; the model construction module is used for collecting languages of the linked countries based on the plurality of supply chains, and performing federal learning according to the collection results to obtain a language fusion model; the transaction determining module is used for carrying out transaction negotiation based on the trade management platform and determining a transaction contract to carry out contract signing; the transaction pre-checking module is used for acquiring a checking result through transaction pre-checking after the transaction contract is uploaded, and carrying out goods conveying when the checking result is correct; the monitoring and transmitting module is used for monitoring cargo transmission in real time based on the sensing and positioning device, collecting real-time transmission information, carrying out information conversion encryption and transmitting the information to the trade management platform; the information analysis module is used for carrying out data analysis on the real-time transmission information and carrying out subsequent transaction process adjustment based on analysis results; and the transaction confirmation module is used for confirming the trade management platform after the goods are docked, and the platform performs integrated backup and background storage on the trade information.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
according to the supply chain management method for cross-border trade, a plurality of supply chains are obtained, language collection is carried out on linked countries, collection results are obtained, a language fusion model is obtained through federal learning, trade negotiation is carried out on the basis of a trade management platform, contract signing is carried out on a certain trade contract, further trade pre-checking is carried out, inspection results are obtained, goods are conveyed when the inspection results are correct, real-time monitoring of goods conveying is carried out on the basis of a sensing positioning device, real-time conveying information is collected, information conversion encryption is carried out, the real-time conveying information is transmitted to the trade management platform, data analysis is carried out on the real-time conveying information, and targeted adjustment is carried out on a follow-up trade process on the basis of analysis results; after goods are docked, the trade management platform confirms that trade information is integrated and backed up and stored in the background, the problem that a cross-border trade management method in the prior art is not strict in information interaction, information conversion is complex and accurate, meanwhile information transfer privacy is deficient, so that the technical problem of order of trade management is affected is solved, and safe and orderly accurate management of cross-border trade is achieved.
Drawings
FIG. 1 is a schematic flow diagram of a supply chain management method for cross-border commerce according to the present application;
FIG. 2 is a schematic diagram of a flowchart of obtaining a language fusion model in a supply chain management method for cross-border trade;
FIG. 3 is a schematic diagram of a flow chart of monitoring and information transmission in real time for cargo transmission in a supply chain management method for cross-border trade;
FIG. 4 provides a schematic diagram of a supply chain management system architecture for cross-border commerce.
Reference numerals illustrate: the system comprises a supply chain acquisition module 11, a model construction module 12, a transaction determination module 13, a transaction pre-checking module 14, a monitoring transmission module 15, an information analysis module 16 and a transaction confirmation module 17.
Description of the embodiments
According to the supply chain management method and system for cross-border trade, a plurality of supply chains are acquired, language collection is carried out on linked countries, collection results are acquired, a language fusion model is acquired through federal learning, transaction negotiation is carried out on the basis of a trade management platform to complete contract signing, transaction pre-inspection is carried out, goods are carried out when the inspection results are correct, real-time monitoring of goods transmission is carried out on the basis of a sensing positioning device, information is converted, encrypted and transmitted to the trade management platform, data analysis is carried out, subsequent transaction processes are adjusted on the basis of analysis results, the technical problems that in the prior art, the cross-border trade management method is not strict in information interaction, information conversion processing is complicated, accuracy is insufficient, and meanwhile information transfer privacy is deficient so as to influence the order of trade management are solved.
Examples
As shown in fig. 1, the present application provides a supply chain management method for cross-border commerce, the method being applied to a cross-border trade supply chain regulatory system communicatively connected to a sensing location device, the method comprising:
step S100: collecting cross-border trade service nodes to obtain a plurality of supply chains;
specifically, cross-border trade is taken as a means of commodity and labor exchange between countries, the whole processes of cross-border import-export arrangement, trade mode, trade settlement and the like are included, the national economy can be better integrated into the world through cross-border trade, so that the international status of the RMB is improved, the supply chain management method for cross-border trade is provided, the trade process is monitored in real time through matching an adaptive supply chain with trade contents, emergency adjustment is carried out on the emergency, transmission information in the trade process is converted into platform compact language for transmission, information safety in the trade process can be effectively guaranteed, information interception is avoided, information leakage is avoided, firstly, information acquisition is carried out on service nodes in the cross-border trade, the service nodes refer to a plurality of nodes covered by the complete trade process, such as process production nodes, commodity transportation transfer nodes, import-export auditing nodes and the like, certain differences exist among different types of service nodes corresponding to different countries, the supply chain refers to a plurality of corresponding links among the cross-border trade parties through acquisition of the cross-border trade service nodes, or the cross-border trade service nodes refer to a plurality of links corresponding to a plurality of participation parties, or the cross-border trade service links can be taken as a concrete basis for the management of the cross-border trade.
Step S200: based on the plurality of supply chains, carrying out language collection on the linked countries, and carrying out federal learning according to collection results to obtain a language fusion model;
specifically, collect many supply chains, each supply chain corresponds two or more trade participants in many supply chains, to many supply chains are based on linking the country and are carried out the general language collection of country respectively, wherein, perhaps there is a plurality of countries and use the same kind of languages, in the information interaction process of cross-border trade, need carry out the language conversion in order to carry out cross-regional indiscriminate information communication, can construct the primary language fusion model, the primary language fusion model is the primary model that carries out the language discernment conversion, carries out federal study to the primary language fusion model based on a plurality of participants, obtains a plurality of training models and further carries out the integration and generates the language fusion model, through carrying out model federal study, can improve the information perfection of language fusion model, avoid appearing information deviation, further carry out the language dimension reduction based on the correspondence between language and the country and handle, correct language fusion model based on the dimension reduction result, can effectively reduce discernment handling information volume, improve model running rate.
Further, as shown in fig. 2, the step S200 of the present application further includes:
step S210: collecting national general languages of linked countries based on the plurality of supply chains to obtain a plurality of national languages;
step S220: constructing a primary language fusion model based on the plurality of national language species;
step S230: uploading the primary language fusion model to a third party platform, and performing federal learning on the primary language fusion model by combining a plurality of participants to generate a plurality of training models;
step S240: and feeding the training models back to the third party platform, and carrying out coordination and summarization on the training models to obtain the language fusion model, wherein the language fusion model comprises an input layer, a language identification layer, a language conversion layer and an output layer.
Specifically, the general languages applied to the linked countries corresponding to the supply chains are respectively collected based on the supply chains to obtain a plurality of national languages, the primary language fusion model is constructed based on the national languages, the primary language fusion model refers to a language exchange conversion model among the countries contained in the cross-border trade participants, the self-adaptive conversion exchange of information can be carried out according to the nationality identification results of the trade parties based on the language fusion model, the language fusion model is used as an intermediate auxiliary tool to carry out the indifferent language communication of the trade parties, the primary language fusion model is uploaded to the third party platform, the third party platform refers to an auxiliary platform for model training optimization to obtain a plurality of cross-border trade participants, the primary language fusion model is transmitted to the participants, each participant performs information improvement and optimization on the primary fusion model to generate a plurality of training models, the training models are further fed back to the third-party platform, the training models are coordinated and summarized based on the third-party platform, the training models are combined into the language fusion model, the language fusion model comprises the input layer, the language identification layer, the language conversion layer and the output layer, when the transaction parties need to perform transaction process communication and logistics information query, the requirement information can be input into the language fusion model through the input layer, language and semantic identification are performed on the requirement information based on the language identification layer, the identification result is transmitted to the language conversion layer, the answer information or the query information is converted into the language corresponding to the information transmission party, and information output is carried out based on the output layer, a language fusion model is constructed based on federal learning, data sharing can be realized on the basis of ensuring privacy, and the information integrity of the model is effectively improved.
Further, after the language fusion model is obtained, step S240 of the present application further includes:
step S241: obtaining M national languages, wherein the M national languages are in one-to-one correspondence with the countries;
step S242: clustering the M language types, and carrying out mapping identification of language and country matching relation based on a clustering result to obtain an identification result;
step S243: performing language dimension reduction processing based on the identification result to obtain a language dimension reduction result, wherein the language dimension reduction result comprises N languages for the country, and N is less than M;
step S244: extracting regional language difference of the same language, and perfecting the dimension reduction result to obtain a language correction result;
step S245: and adjusting the language fusion model based on the language correction result.
Specifically, through carrying out federal study, make the model contains M languages for the languages, M language types correspond M cross-border trade participators, because there is a plurality of national general languages such as english between the M language types, but there is certain difference in language habit of each country, accessible carries out the processing of the dimension reduction of languages and reduces model information volume, at first carries out information clustering processing to M language types, draws a plurality of different languages as the cluster center, carries out classification processing to M language types based on preset information difference degree, acquires the clustering result, carries out the mapping identification of corresponding country based on the clustering result, acquires the identification result, carries out language dimension reduction processing to M language types based on the identification result, wherein, N < M, there is a plurality of countries of the same language adaptation in the N language types, but because the region makes the use habit of same language in different countries, the mode have certain difference, carries out the processing of classifying to M language types, carries out the processing of the dimension reduction of language adaptation based on the clustering result, carries out the relation information conversion of the corresponding country to the language types, carries out the accuracy correction processing of the model is carried out, and carries out the correction of the dimension conversion of the model based on the difference of the language precision, and carries out the correction processing of the precision information.
Step S300: transaction negotiation is conducted based on the trade management platform, and contract signing is conducted through a transaction contract is determined;
step S400: after the transaction contract is uploaded, acquiring a test result through transaction pre-checking, and carrying out cargo transportation when the test result is correct;
specifically, the trade management platform is used as an intermediate negotiation tool, through uploading trade demand information, the trade management platform can conduct comparison screening sorting of partners based on the trade demand information and pushing, can select proper trade objects based on pushing results, can conduct barrier-free communication based on the trade management platform through language conversion, confirms trade contents through trade negotiation, the platform autonomously generates the trade contracts and sends the trade contracts to both sides of the trade, contracts are signed after the contracts are confirmed to be correct, the trade contracts are backed up and uploaded to the trade management platform, after the trade contracts are uploaded successfully, the trade contents are pre-checked, exemplarily, goods multi-angle images, performance parameters and the like are provided for conducting goods, funds evaluation and the like are conducted on buyers, so that normal and orderly conducting of subsequent trade is guaranteed, the checking results are obtained, prompt information is generated when the checking results are correct, both sides of the trade are informed to conduct goods conveying, potential problems in trade are avoided, and economic losses caused by conducting subsequent processing cannot be good.
Further, the determining a transaction contract makes a contract signing, and step S300 of the present application further includes:
step S310: acquiring transaction demand information, and determining suppliers and buyers based on the transaction demand information;
step S320: the current market quotation is researched, and the commodity fair value is determined based on the research result;
step S330: determining transaction content, uploading the transaction content to a platform, and generating the transaction contract;
step S340: and sending the transaction contract to terminal equipment of both transaction parties, completing contract signing, and uploading backup of the signed contract.
Specifically, the transaction demand information is uploaded by the transaction parties, the adaptive degree of the transaction objects is sequentially arranged through carrying out adaptive screening on the transaction demand, the transaction parties determine the transaction objects based on the adaptive degree, the suppliers and the buyers are acquired, the current market quotation is further researched according to specific transaction products, such as sales limit, average price, profit margin and the like, the commodity fair value is agreed based on the market quotation, the commodity fair value is the commodity trading value determined by the transaction parties under the fair transaction condition, the transaction parties negotiate to have certain fluctuation on the market quotation, further, the two parties negotiate to determine transaction contents, the transaction contents comprise the delivery points, the delivery deadline, the goods source, the trading price, the transaction first party and the like, the transaction contents are uploaded to the transaction management platform, the transaction management platform is based on the automatic establishment of transaction contents, the transaction contract backup is generated, the transaction contract can be effectively ensured to be made based on the market quotation, the contract is confirmed to be the contract signing device is further confirmed, and the electronic contract is prevented from being signed by the contract signing device, and the electronic contract signing device is further verified to the transaction management device.
Step S500: the real-time monitoring of cargo transmission is carried out based on the sensing positioning device, real-time transmission information is collected, information conversion encryption is carried out, and the information is transmitted to the trade management platform;
specifically, wait that trade preliminary examination is correct, begin to carry out goods transportation, carry out real-time supervision to the goods transportation progress based on sensing positioner, sensing positioner is embedded to have the sensor, is convenient for carry out information acquisition and guarantee the accuracy of collection information, acquires real-time transmission information, further will real-time transmission information transmission extremely trade management platform, for guaranteeing that information transmission is complete, can construct platform transmission secret word database, will real-time transmission information conversion is secret word information, and then carries out information transmission, and the platform receives after the secret word information, consult platform transmission secret word database carries out information identification conversion, acquires real-time transmission information, through carrying out information encryption transmission, security in the information transmission can effectively be guaranteed, avoid suffering information interception and cause information leakage.
Further, as shown in fig. 3, the sensing positioning device is used for monitoring cargo transmission in real time, collecting real-time transmission information, performing information conversion encryption, and transmitting the information to the trade management platform, and the step S500 of the present application further includes:
Step S510: carrying out association confirmation on mobile terminals of both transaction sides to obtain communication connection equipment, wherein the language fusion model is used as an auxiliary communication model, real-time information inquiry can be carried out based on the communication connection equipment, and the association relation of equipment is relieved when goods are completed;
step S520: real-time tracking is carried out on goods based on the sensing and positioning device, and real-time transmission information is obtained, wherein the real-time transmission information comprises real-time sensing information and goods flow direction information;
step S530: the platform is constructed to transmit a whisper database;
step S540: performing information conversion on the real-time transmission information to generate a transmission secret word;
step S550: and transmitting the transmission secret words to the trade management platform, and monitoring and managing the cross-border trade process.
Specifically, the mobile terminals of both transaction sides are sent to be associated with requests, the communication connection equipment is determined, short-term association setting is carried out, information interaction can be carried out in a trade process, the association relation of equipment is relieved after goods are in butt joint, the communication connection equipment can be signing equipment or reset equipment, specific requirements are not made, in the information interaction process, language identification and conversion of relevant information are carried out based on a language fusion model, barrier-free communication is completed, further, real-time tracking is carried out on the goods based on a sensing positioning device, a plurality of sensors are embedded in the real-time sensing positioning device, real-time environment, goods state and the like in the transportation process can be acquired, real-time transmission information comprises real-time sensing information and goods flow direction information, further, a platform transmission secret database is constructed, the platform transmission secret database refers to a special language database which is set up independently by the trade management platform and is used for carrying out trade communication, information transmission is carried out based on the platform, safety guarantee of information in the data transmission process is further, the real-time information is prevented from leaking, the real-time environment and goods state information is further transferred to the platform, the normal transmission secret information is guaranteed, the normal transmission process is further carried out, and the normal transmission of the secret information is ensured, and the transmission of the secret information is transferred to be transmitted by the platform.
Step S600: carrying out data analysis on the real-time transmission information, and carrying out subsequent transaction process adjustment based on analysis results;
step S700: after goods are docked, confirmation is carried out on the trade management platform, and the platform integrates backup and background storage of trade information.
Specifically, after the real-time conveying information is transmitted to the trade management platform in an encrypted manner, data analysis is carried out according to the platform-transmitted-idiom database, the analysis result is obtained, whether the analysis result is qualified or not is further judged, if the analysis result is qualified, the analysis result is not processed normally for trade, when the analysis result is unqualified, risk assessment is carried out on the analysis result, risk assessment grade is obtained, whether the risk assessment grade is in a controllable range is judged, when the risk assessment grade is too high, a subsequent trade process is required to be re-planned, the situation that the emergency condition affects the cargo transportation is avoided, real-time cargo position parameters are extracted from the real-time transportation information through construction of a trade planning adjustment model, service node traffic is acquired, the service node traffic is input into the trade planning adjustment model, feedback adjustment information is generated, the subsequent trade process is adjusted based on the feedback adjustment information, real-time information acquisition analysis is continuously carried out until after both trade parties complete cargo butting, the cargo quality is checked and confirmed, the trade management platform is backed up for no mistake, the information is integrated, the information is stored in the trade platform, and the subsequent trade management platform is convenient to inquire.
Further, the step S600 of the present application further includes:
step S610: analyzing the real-time conveying information to obtain the analysis result;
step S620: performing qualification judgment on the analysis result to obtain a judgment result;
step S630: when the judging result is unqualified, re-planning and adjusting the subsequent transaction process to obtain feedback adjustment information;
step S640: encrypting and transmitting the feedback adjustment information to a real-time service node, generating adjustment regulations by information analysis, and adjusting subsequent transaction processes based on the adjustment regulations;
step S650: and sending the adjustment regulations to the associated service nodes to prepare for receiving.
Specifically, after the real-time conveying information is transmitted to the trade management platform, the platform is used for transmitting an idiom database as an analysis standard to analyze the information, the analysis result is obtained, further qualification judgment is carried out on the analysis result, whether the real-time information covered by the analysis result is in a normal conveying environment or not is determined, potential risks exist or not, the judgment result is obtained, when the judgment result is qualified, feedback is not needed to carry out cargo conveying normally, when the judgment result is unqualified, a risk level is determined through data evaluation, the subsequent transaction process is adaptively adjusted based on the risk level, follow-up transaction process is re-planned according to real-time cargo position information and service node traffic, feedback adjustment information is obtained, the feedback adjustment information refers to specific correction information for carrying out follow-up planning adjustment, such as conveying paths, modes and the like, further information conversion is carried out on the feedback adjustment information, platform is generated, the platform is transmitted to a real-time service node, the adjustment rule is generated through information, the adjustment rule refers to multi-dimensional and follow-up time adjustment, the corresponding to the corresponding receiving mode is carried out, the corresponding to the digital rule is carried out, the corresponding to the corresponding transport rule is carried out, the corresponding to the digital rule is adjusted, the corresponding to the receiving mode is carried out, and the digital rule is adjusted, and the corresponding status is adjusted according to the status of the receiving time information.
Further, before the re-planning adjustment is performed on the subsequent transaction process, step S630 of the present application further includes:
step S631-1: if the judging result is unqualified, carrying out data screening to obtain unqualified data;
step S632-: performing risk assessment on the unqualified data by a statistical evaluation method to generate a risk grade assessment result;
step S633-1: acquiring a preset risk level threshold, and judging whether the risk level assessment result meets the preset risk level threshold;
step S634-1: and when the command is not satisfied, generating an adjustment planning command.
Specifically, the analysis result is subjected to qualification judgment, when the analysis result is judged to be unqualified, unqualified data in the analysis data are screened, unqualified data are obtained, further risk assessment is carried out on the unqualified data, exemplary, classification and integration can be carried out on the same information through collecting historical transportation information, a trend curve is further constructed based on the level degree of the information, the risk assessment of the unqualified data is carried out by taking the trend curve as a reference, a risk assessment level can be preset, the risk assessment level is a multi-level index of the risk degree, the risk assessment result is generated by carrying out risk assessment on the unqualified data based on the risk assessment level, the preset risk assessment threshold is defined as to whether an adjustment necessity limit range exists in the risk assessment result, whether the risk assessment result meets the preset risk assessment threshold or not is judged, when the risk assessment result does not meet the preset threshold, the risk assessment command is indicated to be in a controllable range, the adjustment command is generated, the adjustment command is planned, and the adjustment command is planned and the adjustment accuracy is improved along with the adjustment command.
Further, when the determination result is unqualified, re-planning adjustment is performed on the subsequent transaction process to obtain feedback adjustment information, and step S630 of the present application further includes:
step S631-2: collecting real-time cargo position parameters and service node traffic;
step S632-2: constructing a trade planning adjustment model;
step S633-2: model learning is conducted on the trade planning adjustment model based on service node association information and historical trade information;
step S634-2: and inputting the real-time cargo position parameters and the service node traffic into the trade planning adjustment model, carrying out adaptive information matching analysis, and generating the feedback adjustment information.
Specifically, when the determination result is unqualified, re-planning adjustment is performed on a subsequent transaction process, the real-time cargo position parameter and each service node service volume are collected, the real-time cargo position parameter refers to the associated parameter representing the transportation condition, such as position coordinates, environmental condition, water and land transportation, and the like, each service node service volume refers to the subsequent work arrangement of a service node, whether the transported cargo can be received and transported in a corresponding time empty window period or not is determined, the trade planning adjustment model is constructed, a targeted adjustment strategy can be generated according to the real-time transportation information based on the trade planning adjustment model, the historical trade information and each service node associated information refer to a plurality of service nodes with transportation link relations, the service node associated relation and the historical trade information are input into the trade planning adjustment model, model integrity is improved through model learning, the real-time cargo position parameter and each service node service volume are further input into the trade planning adjustment model, adaptive reference information is extracted, the adaptive reference information is compared with the reference information, the adaptive adjustment information can be carried out in comparison with the reference information, the subsequent adjustment information can be carried out, and the subsequent adjustment can be further carried out by the feedback adjustment to the real-time adjustment model, and the feedback adjustment can be guaranteed, and the real-time adjustment can be further carried out, and the feedback adjustment is guaranteed.
Examples
Based on the same inventive concept as one of the supply chain management methods for cross-border trade in the previous embodiments, as shown in fig. 4, the present application provides a supply chain management system for cross-border trade, the system comprising:
the supply chain acquisition module 11 is used for acquiring cross-border trade service nodes and acquiring a plurality of supply chains;
the model construction module 12 is used for collecting languages of the linked countries based on the plurality of supply chains, and performing federal learning according to the collection results to obtain a language fusion model;
a transaction determining module 13, wherein the transaction determining module 13 is configured to perform transaction negotiation based on a trade management platform, and determine that a transaction contract performs contract signing;
the transaction pre-checking module 14, wherein the transaction pre-checking module 14 is used for acquiring a checking result through transaction pre-checking after the transaction contract is uploaded, and carrying out goods conveying when the checking result is correct;
the monitoring and transmitting module 15 is used for monitoring the goods transmission in real time based on the sensing and positioning device, collecting real-time transmission information, performing information conversion encryption and transmitting the information to the trade management platform;
The information analysis module 16 is used for carrying out data analysis on the real-time transmission information, and carrying out subsequent transaction process adjustment based on analysis results;
and the transaction confirmation module 17 is used for confirming the transaction management platform after the goods are docked, and the platform performs integrated backup and background storage on the trade information.
Further, the system further comprises:
the language collection module is used for collecting the national general languages of the linked countries based on the plurality of supply chains to obtain a plurality of national languages;
the primary model building module is used for building a primary language fusion model based on the plurality of Chinese language species;
the federal learning module is used for uploading the primary language fusion model to a third party platform, and federally learning the primary language fusion model by combining a plurality of participants to generate a plurality of training models;
and the model summarizing module is used for feeding back the training models to the third-party platform, carrying out coordination summarizing on the training models, and obtaining the language fusion model, wherein the language fusion model comprises an input layer, a language identification layer, a language conversion layer and an output layer.
Further, the system further comprises:
the system comprises a country language acquisition module, a country language generation module and a computer program, wherein the country language acquisition module is used for acquiring M country languages, and the M country languages are in one-to-one correspondence with the country;
the language clustering module is used for carrying out clustering processing on the M language varieties, carrying out mapping identification of language and country matching relation based on a clustering result, and obtaining an identification result;
the language dimension reduction module is used for carrying out language dimension reduction processing based on the identification result to obtain a language dimension reduction result, wherein the language dimension reduction result comprises N languages for China, and N is less than M;
the result correction module is used for extracting regional language differences of the same language and perfecting the dimension reduction result to obtain a language correction result;
and the model adjustment module is used for adjusting the language fusion model based on the language correction result.
Further, the system further comprises:
the information acquisition module is used for acquiring transaction demand information and determining suppliers and buyers based on the transaction demand information;
the value determining module is used for researching the current market quotation and determining the commodity fair value based on the research result;
The contract generation module is used for determining transaction contents, uploading the transaction contents to a platform and generating the transaction contract;
and the contract signing module is used for sending the transaction contract to terminal equipment of both transaction sides, completing contract signing and uploading backup of the signed contract.
Further, the system further comprises:
the equipment association module is used for carrying out association confirmation on mobile terminals of both transaction sides to obtain communication connection equipment, wherein the language fusion model is used as an auxiliary communication model, real-time information inquiry can be carried out based on the communication connection equipment, and the equipment association relation is released after goods are completed;
the transmission information acquisition module is used for tracking cargoes in real time based on the sensing and positioning device to acquire real-time transmission information, wherein the real-time transmission information comprises real-time sensing information and cargo flow direction information;
the database construction module is used for constructing a platform transmission whisper database;
the secret language generation module is used for carrying out information conversion on the real-time transmission information to generate a transmission secret language;
And the secret language transmission module is used for transmitting the transmission secret language to the trade management platform and monitoring and managing the cross-border trade process.
Further, the system further comprises:
the analysis result acquisition module is used for carrying out real-time conveying information analysis to acquire the analysis result;
the result judging module is used for judging the qualification of the analysis result and obtaining a judging result;
the adjustment information acquisition module is used for carrying out rescheduling adjustment on the subsequent transaction process when the judging result is unqualified, and acquiring feedback adjustment information;
the adjustment regulation generation module is used for encrypting and sending the feedback adjustment information to a real-time service node, generating adjustment regulation by carrying out information analysis, and carrying out subsequent transaction process adjustment based on the adjustment regulation;
and the adjustment regulation sending module is used for sending the adjustment regulation to the associated service node to prepare for receiving.
Further, the system further comprises:
the data screening module is used for screening data to obtain unqualified data if the judging result is unqualified;
The risk assessment module is used for carrying out risk assessment on the unqualified data through a statistical evaluation method and generating a risk grade assessment result;
the result judging module is used for acquiring a preset risk level threshold and judging whether the risk level assessment result meets the preset risk level threshold;
and the instruction generation module is used for generating an adjustment planning instruction when the adjustment planning instruction is not satisfied.
Further, the system further comprises:
the data acquisition module is used for acquiring real-time cargo position parameters and service node traffic;
the adjustment model construction module is used for constructing a trade planning adjustment model;
the model learning module is used for carrying out model learning on the trade planning adjustment model based on the service node association information and the historical trade information;
and the model analysis module is used for inputting the real-time cargo position parameters and the service node traffic into the trade planning adjustment model, carrying out adaptive information matching analysis and generating the feedback adjustment information.
From the foregoing detailed description of a supply chain management method for cross-border trade, those skilled in the art can clearly understand that a supply chain management method and a system for cross-border trade in this embodiment, for an apparatus disclosed in the embodiments, since the apparatus corresponds to the method disclosed in the embodiments, the description is relatively simple, and relevant places refer to the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (7)
1. A supply chain management method for cross-border commerce, the method being applied to a cross-border trade supply chain supervisory system communicatively coupled to a sensory positioning device, the method comprising:
Collecting cross-border trade service nodes to obtain a plurality of supply chains;
based on the plurality of supply chains, carrying out language collection on the linked countries, and carrying out federal learning according to collection results to obtain a language fusion model;
wherein, the federal learning is performed according to the collection result, and the language fusion model is obtained, including:
collecting national general languages of linked countries based on the plurality of supply chains to obtain a plurality of national languages;
constructing a primary language fusion model based on the plurality of national language species;
uploading the primary language fusion model to a third party platform, and performing federal learning on the primary language fusion model by combining a plurality of participants to generate a plurality of training models;
the training models are fed back to the third party platform, the training models are coordinated and summarized, and the language fusion model is obtained, wherein the language fusion model comprises an input layer, a language identification layer, a language conversion layer and an output layer;
wherein, after the language fusion model is obtained, the method comprises the following steps:
obtaining M national languages, wherein the M national languages are in one-to-one correspondence with the countries;
clustering the M language types, and carrying out mapping identification of language and country matching relation based on a clustering result to obtain an identification result;
Performing language dimension reduction processing based on the identification result to obtain a language dimension reduction result, wherein the language dimension reduction result comprises N languages for the country, and N is less than M;
extracting regional language difference of the same language, and perfecting the dimension reduction result to obtain a language correction result;
adjusting the language fusion model based on the language correction result;
transaction negotiation is conducted based on the trade management platform, and contract signing is conducted through a transaction contract is determined;
after the transaction contract is uploaded, acquiring a test result through transaction pre-checking, and carrying out cargo transportation when the test result is correct;
the real-time monitoring of cargo transmission is carried out based on the sensing positioning device, real-time transmission information is collected, information conversion encryption is carried out, and the information is transmitted to the trade management platform;
carrying out data analysis on the real-time transmission information, and carrying out subsequent transaction process adjustment based on analysis results;
after goods are docked, confirmation is carried out on the trade management platform, and the platform integrates backup and background storage of trade information.
2. The method of claim 1, wherein determining that a trade contract is contracted for comprises:
acquiring transaction demand information, and determining suppliers and buyers based on the transaction demand information;
The current market quotation is researched, and the commodity fair value is determined based on the research result;
determining transaction content, uploading the transaction content to a platform, and generating the transaction contract;
and sending the transaction contract to terminal equipment of both transaction parties, completing contract signing, and uploading backup of the signed contract.
3. The method as set forth in claim 1, wherein the real-time monitoring of the cargo transmission based on the sensor positioning device, collecting real-time transmission information and performing information conversion encryption, and transmitting the information to the trade management platform, includes:
carrying out association confirmation on mobile terminals of both transaction sides to obtain communication connection equipment, wherein the language fusion model is used as an auxiliary communication model, real-time information inquiry can be carried out based on the communication connection equipment, and the association relation of equipment is relieved when goods are completed;
real-time tracking is carried out on goods based on the sensing and positioning device, and real-time transmission information is obtained, wherein the real-time transmission information comprises real-time sensing information and goods flow direction information;
the platform is constructed to transmit a whisper database;
performing information conversion on the real-time transmission information to generate a transmission secret word;
And transmitting the transmission secret words to the trade management platform, and monitoring and managing the cross-border trade process.
4. The method of claim 1, wherein the performing data parsing on the real-time transmission information and performing subsequent transaction process adjustments based on parsing results comprises:
analyzing the real-time conveying information to obtain the analysis result;
performing qualification judgment on the analysis result to obtain a judgment result;
when the judging result is unqualified, re-planning and adjusting the subsequent transaction process to obtain feedback adjustment information;
encrypting and transmitting the feedback adjustment information to a real-time service node, generating adjustment regulations by information analysis, and adjusting subsequent transaction processes based on the adjustment regulations;
and sending the adjustment regulations to the associated service nodes to prepare for receiving.
5. The method as recited in claim 4, comprising:
if the judging result is unqualified, carrying out data screening to obtain unqualified data;
performing risk assessment on the unqualified data by a statistical evaluation method to generate a risk grade assessment result;
acquiring a preset risk level threshold, and judging whether the risk level assessment result meets the preset risk level threshold;
And when the command is not satisfied, generating an adjustment planning command.
6. The method of claim 4, wherein when the determination result is failed, performing rescheduling adjustment on a subsequent transaction process, and obtaining feedback adjustment information, comprises:
collecting real-time cargo position parameters and service node traffic;
constructing a trade planning adjustment model;
model learning is conducted on the trade planning adjustment model based on service node association information and historical trade information;
and inputting the real-time cargo position parameters and the service node traffic into the trade planning adjustment model, carrying out adaptive information matching analysis, and generating the feedback adjustment information.
7. A supply chain management system for cross-border commerce, the system comprising:
the system comprises a supply chain acquisition module, a cross-border trade service node acquisition module and a management module, wherein the supply chain acquisition module is used for acquiring cross-border trade service nodes to acquire a plurality of supply chains;
the model construction module is used for collecting languages of the linked countries based on the plurality of supply chains, and performing federal learning according to the collection results to obtain a language fusion model;
wherein, the model construction module further includes:
The language collection module is used for collecting the national general languages of the linked countries based on the plurality of supply chains to obtain a plurality of national languages;
the primary model building module is used for building a primary language fusion model based on the plurality of Chinese language species;
the federal learning module is used for uploading the primary language fusion model to a third party platform, and federally learning the primary language fusion model by combining a plurality of participants to generate a plurality of training models;
the model summarizing module is used for feeding the training models back to the third-party platform, and carrying out coordinated summarization on the training models to obtain the language fusion model, wherein the language fusion model comprises an input layer, a language identification layer, a language conversion layer and an output layer;
further, the model summarization module further includes:
the system comprises a country language acquisition module, a country language generation module and a computer program, wherein the country language acquisition module is used for acquiring M country languages, and the M country languages are in one-to-one correspondence with the country;
the language clustering module is used for carrying out clustering processing on the M language varieties, carrying out mapping identification of language and country matching relation based on a clustering result, and obtaining an identification result;
The language dimension reduction module is used for carrying out language dimension reduction processing based on the identification result to obtain a language dimension reduction result, wherein the language dimension reduction result comprises N languages for China, and N is less than M;
the result correction module is used for extracting regional language differences of the same language and perfecting the dimension reduction result to obtain a language correction result;
the model adjustment module is used for adjusting the language fusion model based on the language correction result;
the transaction determining module is used for carrying out transaction negotiation based on the trade management platform and determining a transaction contract to carry out contract signing;
the transaction pre-checking module is used for acquiring a checking result through transaction pre-checking after the transaction contract is uploaded, and carrying out goods conveying when the checking result is correct;
the monitoring and transmitting module is used for monitoring cargo transmission in real time based on the sensing and positioning device, collecting real-time transmission information, carrying out information conversion encryption and transmitting the information to the trade management platform;
the information analysis module is used for carrying out data analysis on the real-time transmission information and carrying out subsequent transaction process adjustment based on analysis results;
And the transaction confirmation module is used for confirming the trade management platform after the goods are docked, and the platform performs integrated backup and background storage on the trade information.
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