55 results about "Customs declaration" patented technology

The invention belongs to the field of customs declaration distribution, and particularly relates to a customs declaration intelligent dispatching and cooperative processing system, which carries out compliance auditing on declaration information through a business declaration module in combination with a user historical credit score and an initial auditing model, and marks processing difficulty and danger level on the information passing the auditing; the intelligent generation module generates a compliance declaration form based on the pre-dispatch label and a compliance rule base and performs encryption locking; and the collaborative dispatching module accurately matches and dispatches the customs declarations to auditing personnel by using a distributed enhanced dispatching model according to information such as customs declaration processing difficulty, comprehensive risk assessment scores and employee proficiency. The auditing feedback module monitors auditing progress and abnormity in real time and realizes dynamic closed-loop feedback through a declaration feedback adjustment chain; according to the invention, intelligent evaluation, precise dispatching and closed-loop collaborative management of customs declaration processing are realized.

The invention relates to an intelligent customs declaration system and method in international trade. The intelligent customs declaration method comprises the following steps: constructing a dynamically updated policy knowledge graph by synchronizing global customs policy data in real time, and solving the problem of response lag of a traditional customs declaration policy; multi-platform heterogeneous customs declaration receipts are integrated, intelligent analysis and standardization processing are carried out, and data compatibility barriers are eliminated; a multi-dimensional customs declaration path considering the tax cost, the timeliness and the compliance risk is generated based on a multi-objective optimization algorithm, and the limitation of a single decision model is broken through; risk factors such as policy mutation and logistics delay are quantified through a dynamic risk assessment model, an optimal recommendation scheme is generated, and full-process declaration and feedback closed loop are realized based on an automation technology. According to the intelligent customs declaration method provided by the invention, the pain points of policy adaptation lagging, low efficiency of data integration and risk pre-judgment missing in cross-border trade are effectively solved, and the customs declaration compliance and decision accuracy are remarkably improved.

The invention belongs to the field of customs affair auditing, and particularly relates to a customs affair compliance intelligent auditing system and method, and the method comprises the steps: a data collection module synchronously generates an auditing rule updating table and a customs declaration service information table in real time through a multi-mode extraction algorithm; the compliance auditing module completes multi-dimensional compliance verification based on a transverse service auditing node network, a longitudinal service transmission node chain and a declaration node network in combination with a dynamic rule priority index and reinforcement learning algorithm; the evaluation optimization module calculates a service transmission risk probability, an auditing delay probability and an error probability in real time through a bidirectional risk evaluation model, and feeds back the probability to an auditing space to optimize a rule weight and a flow path; through a composite auditing architecture of'declaration clustering + longitudinal encryption transmission + transverse topological association ', dynamic adaptation of auditing rules, accurate risk traceability and intelligent process optimization are realized, and the problems of low efficiency in integration of multi-source heterogeneous data and lagging auditing of complex business scenes in cross-border trade are effectively solved.

The present disclosure relates to the technical field of anomaly detection, and provides an anomaly detection method and apparatus, and a computer readable storage medium. The method comprises: acquiring first customs declaration data to be detected, wherein said first customs declaration data comprises a plurality of fields associated with corresponding items and addresses, the plurality of items corresponding to the plurality of fields can form a plurality of item sets, and each item set comprises two items among the plurality of items; calculating an evaluation distance between two addresses associated with the two items in each item set; performing association rule mining on a plurality of pieces of historical second customs declaration data to obtain an evaluation index representing an association relationship between the two items in each item set; using an anomaly detection algorithm to process the evaluation distance and the evaluation index so as to obtain a first result representing whether there is a risk between the two items in each item set or not; and on the basis of the first result, determining whether there is an anomaly in the first customs declaration data or not.

The invention relates to the technical field of foreign trade services, in particular to a comprehensive service intelligent customs declaration generation full-process customs clearance cooperation method and system, and the method comprises the steps: obtaining and cleaning the multi-source data of trade, receipts, tax affairs and the like, and extracting key customs declaration elements; structured integration of the data and matching of the process template are carried out, and a to-be-examined customs declaration is generated; extracting full-link event nodes to construct a dynamic knowledge graph; an examination agent trained based on historical data and supervision rules performs compliance examination and risk assessment on the customs declaration and outputs an examination receipt containing modification suggestions; fusing the agent review result and the reasoning conclusion of the knowledge graph, and automatically generating an optimized final declaration; an actual customs clearance result is fed back to a knowledge graph and an intelligent agent, incremental learning and strategy updating are carried out, and a continuously self-improved closed-loop optimization mechanism is formed. According to the technical scheme, the declaration efficiency and the customs clearance efficiency of customs declaration can be remarkably improved.

The invention relates to the field of intelligent information processing, in particular to a carbon border adjustment mechanism intelligent auxiliary customs declaration method and system based on natural language processing, and the method comprises the steps: carrying out the real-time translation and key information extraction of CBAM related rule files and unstructured documents; a dynamic CBAM knowledge graph is constructed based on related rule texts, rule updating is monitored in real time through a text classification and event extraction technology, and calculation rules and declaration logic are dynamically adjusted; performing standardization processing on supplier data in different formats, integrating an industry emission factor library, automatically matching a calculation model according to a product type, generating a carbon emission result meeting a CBAM requirement, and mapping the data to a corresponding position of a CBAM declaration form; based on historical declaration data and related rule texts, analysis and compliance risk prediction are carried out by using a natural language processing technology, so that the declaration data are ensured to accord with latest rules, and violation risks caused by rule changes are avoided.

The invention belongs to the technical field of artificial intelligence, and particularly relates to an export customs declaration commodity name intelligent matching system and method based on a large model. Through real-time acquisition and standardization of multi-source heterogeneous data, extraction and vectorization of multi-modal features of commodity information, generation of classification candidate items based on a hybrid expert big language model, and Pareto optimal decision based on multi-target optimization, intelligent and efficient matching of commodity names and customs codes is realized, and the matching efficiency of commodity names and customs codes is improved. And the compliance, the timeliness and the economic benefit of the customs declaration strategy are improved.

The invention discloses a customs declaration code determination method. The method comprises the following specific steps: collecting information of commodities to be declarated; the collected commodity information is processed; establishing a rule engine based on customs coding rules; performing similarity comparison on the to-be-declarated commodity and the similar commodity with the determined code to achieve the purpose of verifying the rationality of the commodity code; and outputting the adjusted and verified customs declaration code as a final result. And generating an electronic document according to the customs declaration code, the related commodity information and the determined code basis, and storing the electronic document. According to the customs declaration code determination method, challenges caused by commodity complexity and diversity in international trade can be effectively handled, accuracy and efficiency of customs declaration code determination are remarkably improved, trade risks caused by coding errors are reduced, and smooth proceeding of the international trade is guaranteed. According to the method, the generated codes can be stored, and subsequent query and auditing are facilitated.

The application discloses an international trade intelligent customs declaration system and method, and relates to the technical field of international trade.The application comprises a data acquisition module for acquiring single certificate image data and associated form data of a batch to be declared; a multi-modal analysis and verification module for loading a trained multi-modal perception model; and the following steps: S1: acquiring single certificate image data and associated form data of a batch to be declared.The application has the advantages that single certificate information extraction and compliance logic verification are simultaneously completed in single semantic understanding, the recognition result directly carries a quantifiable and reliable verification conclusion, eliminating the information gap of the traditional separate architecture; at the same time, the maintenance work of creating fixed templates according to countries and single certificate types is eliminated, the application has self-adaptive capacity for format changes and unexpected abnormalities, and the model can be continuously optimized from the correction feedback of the customs officer, so that compliance conflicts can be effectively intercepted in the declaration preparation stage, and the single rejection rate and customs clearance time are reduced.

Embodiments of the present application disclose a customs declaration information processing method and device and electronic equipment. The method comprises: determining a customs declaration material file associated with a to-be-generated customs declaration form; identifying text information content of the customs declaration material file to determine at least one named entity included therein, the named entity comprising a continuous character fragment in the text information content; and during an information input operation for a target field in the customs declaration form, providing recommended information about to-be-input information in the target field according to the named entity identified from the customs declaration material file. Through the embodiments of the present application, the efficiency of generating a customs declaration form can be improved, and the probability of input errors and the like caused by a manual input process can be reduced.

The invention discloses a mail fusion governance device with an AI identification technology, and particularly relates to the technical field of mail governance, and the mail fusion governance device comprises a certification data receiving module, a multi-mode intelligent analysis engine, a mail account relation modeling module, a customs data collision engine and an Excel result output module. According to the method, intelligent structured conversion of multi-format attachments is realized by constructing a mail governance architecture fusing AI multi-modal identification and relation mining, and unstructured service data scattered in the attachments are automatically extracted and mapped into standard database fields by utilizing cooperative work of a large language model and a multi-modal model, so that the mail governance efficiency is improved. Establishing a dynamic mail entity relation graph, and generating an association network based on mail contact characteristics to strengthen the business traceability; a cross-source data intelligent collision engine is designed, structured mail data is compared with third-party systems such as customs declaration in real time, risk clues or business evidence closed loops are automatically output, and the time cost of manual checking is greatly reduced.

The invention discloses an intelligent customs declaration management system based on multi-model collaboration. The intelligent customs declaration management system comprises the steps of file format judgment, picture preprocessing, file uploading, information data extraction, storage and translation and the like. By means of the mode, the intelligent customs declaration management system based on multi-model cooperation can achieve automatic file sorting and direction correction, reduce manual intervention, improve the OCR recognition accuracy under complex format and multi-language scenes through layout analysis and AI large model understanding semantics, and improve the user experience. Therefore, the robustness and efficiency of key information extraction are improved.

The present invention belongs to the field of customs declaration distribution, and particularly relates to a system for intelligent declaration dispatch and collaborative processing. This system uses a business declaration module, combined with a user's historical credit score and an initial review model, to conduct compliance audits on declaration information, marking the difficulty and risk level of approved information. An intelligent generation module generates compliant customs declarations based on pre-assigned tags and a compliance rule library, and encrypts and locks them. A collaborative dispatch module uses a distributed reinforcement dispatch model to accurately match declarations to reviewers based on information such as the difficulty of customs declaration processing, comprehensive risk assessment scores, and employee proficiency. The review feedback module monitors review progress and anomalies in real time, and implements dynamic closed-loop feedback through a declaration feedback adjustment chain. The present invention implements intelligent assessment, precise dispatch, and closed-loop collaborative management of customs declaration processing.

The invention discloses a customs abnormal behavior recognition method based on a generative adversarial network, a storage medium and equipment, and the method comprises the steps: collecting customs behaviors: collecting luggage image data, corresponding customs declaration information and behavior tracks of corresponding personnel; multi-modal fusion features are obtained from the luggage image data, the corresponding customs declaration information and the behavior tracks of the corresponding personnel through a multi-head attention mechanism; sampling Gaussian distribution random noise, and splicing the multi-modal fusion feature and the random noise to obtain a condition vector; constructing a multi-modal generator, taking the condition vector as the input of the multi-modal generator, and guiding the cross-modal generator to generate a reconstructed multi-modal tensor; and constructing a multi-modal discriminator, taking the reconstructed multi-modal tensor as the input of the multi-modal discriminator, outputting the discrimination probability of the multi-modal tensor, and taking the customs behavior of which the discrimination probability exceeds an abnormal threshold value as the customs abnormal behavior, so that the recognition capability of the customs abnormal behavior is improved, and the dependence on manual recognition is reduced.

The invention discloses an import and export commodity classification verification method and system based on an AI large model, belongs to the technical field of data processing, and aims to solve the technical problem of how to improve the accuracy and automation level of import and export commodity classification verification. Comprising the steps of extracting data from an import and export commodity classification system, a general declaration element table and a GBase database, learning a commodity classification rule through an AI large model based on the extracted data, and constructing a standard classification library based on data related to commodity classification; comparing the commodity data in the customs declaration with the standard classification library through an AI large model, and labeling the commodity data to obtain labeled commodity data; carrying out manual correction on the marked commodity data to obtain corrected commodity data; and pushing the corrected commodity data to a declaration place customs and an enterprise terminal for processing.

The invention provides a customs declaration process teaching method and system based on virtual reality, and belongs to the technical field of teaching methods.The customs declaration process teaching method and system based on virtual reality comprises a virtual reality scene generation module used for constructing and outputting three-dimensional virtual scene data; the role distribution module is in communication connection with the virtual reality scene generation module; the document simulation module is used for storing and outputting the electronic form data to the student terminal; the process decision module is in communication connection with the document simulation module; the behavior acquisition module is used for acquiring operation track data generated by the student terminal in the virtual scene in real time; and the teaching management background is in communication connection with the behavior acquisition module, and solves the source denoising problems of high-frequency distortion of an operation track and inaccurate evaluation caused by vibration, rotation and misoperation in virtual reality-based customs declaration teaching.

The invention discloses a customs declaration method, system and device and a storage medium, and the method comprises the steps: responding to an order declaration request of an e-commerce platform, and obtaining the declaration configuration information of a corresponding target customs according to the order declaration request; calling a message type template and a value mapping template to construct the declaration configuration information into a declaration message; and encrypting the declaration message and sending the encrypted declaration message to a customs declaration system, so that the customs declaration system decrypts the declaration message and performs declaration verification. And the declaration message is constructed by using the message type template and the value mapping template, so that the requirements of different customs are flexibly met, and the accuracy and consistency of data are ensured. The encrypted declaration message protects sensitive information and prevents unauthorized access or tampering in the transmission process, and the accuracy and efficiency of customs declaration are improved.

The invention belongs to the technical field of railway port freight yard clearance, and particularly relates to an operation system for railway port freight yard clearance. The system comprises a railway port goods yard entrance and exit customs declaration robot module used for identifying lading bill content and performing declaration work according to the lading bill content; the single-window intelligent decision-making and automatic processing module is used for handling the departure procedure of the target goods according to the declaration work; the compilation port customs clearance operation module is used for generating a compilation operation plan for the target goods according to the departure procedure; and the unmanned gantry crane dispatching control module is used for driving an unmanned gantry crane according to the compiled operation plan, generating an unmanned gantry crane operation plan and loading the target goods. On the basis of a single-window customs clearance mode, paperless application is improved, customs clearance procedures are simplified, information can be shared in the whole process by inputting declaration data at a time, the input workload and input errors are reduced, the labor cost is reduced, the customs clearance passing rate is increased, and the customs clearance check receipt accuracy is improved.

The invention discloses an import and export prediction method and device based on the foreign trade industry and a medium. The method comprises the steps that macroeconomic data and customs declaration data are collected according to a preset period; performing preprocessing to generate standardized data; performing star modeling on the standardized data through a time-industry-commodity-nationality index rule, and constructing a multi-dimensional data warehouse; respectively adopting an SARIMA model and an LSTM network to carry out feature extraction and analysis on the data in the warehouse, and finally obtaining prediction data in a future preset time period through weighted fusion; constructing a prediction subject library according to the target foreign trade scene; and matching the received scene with the theme library, and visually displaying the related prediction data. According to the method, the import and export trend is accurately predicted through the hybrid model, the seasonal demand peak, the exchange rate sensitive window and the freight rate impact time point are effectively identified, the prediction precision and the policy response efficiency are remarkably improved, and the operation risk caused by fund occupation and price fluctuation is reduced.

This application provides a method for assessing the quality of customs declarations in cross-border e-commerce. Applied to the field of big data analytics, it extracts product attribute features and performs multi-condition searches to proactively generate a set of candidate declaration codes. Then, using the corresponding declaration supervision conditions and requirements for each candidate code, it differentiates and compliantly adjusts the user's original declaration data (marking missing documents and supplementing declaration elements). Based on the adjusted value information, it recalculates tariffs, forming multiple structured declaration schemes. Since each scheme is a feasible option that can pass customs review after supplementing the required materials, users can not only intuitively compare the tariff savings of each scheme with the list of additional materials required, but also make a quantitative trade-off between tariff costs and operational convenience. Under the premise of legality and compliance, it significantly improves the ability to optimize tax and fees in declarations and enhances the user's autonomy in decision-making.

The invention discloses a regional foreign trade enterprise development prediction and early warning method optimized through a random forest algorithm, and relates to the technical field of big data analysis. Comprising the steps of 1, establishing a foreign trade enterprise database, 2, collecting foreign trade enterprise data, preprocessing the collected data, associating customs declaration data of all foreign trade enterprises, foreign trade enterprise power data, export amount of the industry to which the foreign trade enterprises belong and trade environment data, performing standardization processing on the data, and storing the data in a database; step 2, converting indexes of different orders of magnitude into indexes of the same order of magnitude, and converting unstructured data into structured data, and step 3, performing preliminary analysis and calculation according to the collected foreign trade enterprise data; 4, establishing a regional foreign trade enterprise prediction and early warning model, predicting the condition according to each index condition, respectively giving different scores, and finally obtaining important foreign trade enterprise early warning levels; 5, introducing a random forest algorithm into the regional foreign trade enterprise prediction and early warning model, training historical early warning data, and calculating the early warning levels of the important foreign trade enterprises according to power trade settlement period characteristics. A double-cycle rolling window is adopted to capture short-term fluctuation, and meanwhile, a moon-level window is reserved to recognize tendency risks.

The invention relates to the technical field of image processing, in particular to an intelligent station inspection image and customs declaration data association method based on edge calculation, and aims to solve the problem of low inspection efficiency caused by insufficient image semantic segmentation precision in the prior art. And dynamically repairing and matching the preliminarily segmented semantic region, adaptively screening the optimal feature dimension, and finally associating the optimized target semantic region with customs declaration data. According to the method, the accuracy of image segmentation is effectively improved, and the query efficiency and reliability after the check image is associated with the customs declaration are improved.

The invention discloses an intelligent customs declaration information processing method and system based on an AI large model, and relates to the technical field of data processing.The method comprises the steps that through batch scanning and format analysis of full-type bill images, text information is extracted through the OCR technology, and an identification text information set is generated; traversing the set to construct an original tetrad and antagonistic tetrad set, and forming a structured information set; field conflict identification is carried out, conflict resolution and correction are carried out according to an identification result, and a verification structured information set is obtained; and converting the verified structured information set into a standardized customs declaration, and outputting a target customs declaration. The technical problems that in the prior art, customs declaration processing depends on manual operation, so that the document processing efficiency is low, and errors are high are solved, and the technical effects that the AI large model and the OCR technology are combined, customs declaration information is automatically processed, and the customs declaration efficiency and accuracy are improved are achieved.

The invention provides a declaration element code conversion method and device, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining customs declaration data of a target commodity; wherein the customs declaration data comprises commodity codes, original pairing information and original numerical value information; determining a declaration element demand field of the target commodity based on the commodity code; generating a cue word based on the declaration element demand field, the original pairing information and the original numerical value information; and based on the cue word and a preset declaration element rule, performing code conversion on the cue word to obtain a target code corresponding to the customs declaration data. According to the declaration element code conversion method provided by the invention, customs declaration data which is described by a natural language and possibly has errors or is not standard is automatically converted into normalized and standardized target codes, manual intervention is reduced, and the efficiency and accuracy of code conversion of declaration elements in customs receipts are improved.

The application provides a customs clearance risk detection method and system based on customs declaration document recognition, and relates to the technical field of customs declaration document risk management. The method comprises the following steps: obtaining a scanned copy of a basic customs declaration document, and determining whether additional customs declaration documents are required; if additional customs declaration documents are required, generating upload prompt information; determining a high customs declaration risk trigger result according to the recognition result of the scanned copy of the basic customs declaration document and the upload result of the scanned copy of the additional customs declaration document; determining a medium customs declaration risk trigger result according to the recognition results of the scanned copy of the basic customs declaration document and the scanned copy of the additional customs declaration document; determining a low customs declaration risk trigger result according to the recognition result of the scanned copy of the basic customs declaration document; and determining a customs clearance risk detection result according to the high customs declaration risk trigger result, the medium customs declaration risk trigger result and the low customs declaration risk trigger result. According to the application, accurate prompts can be given based on the risk level of the customs declaration documents, so as to improve the probability of smooth customs clearance.

The invention discloses an e-commerce customs clearance data security processing method based on cloud isolation, and is applied to the technical field of customs declaration. The method comprises the following steps: deploying a cloud isolation environment located in the same trusted domain in the e-commerce cloud to ensure that data is not out of the cloud; receiving and storing the original order data in the isolation environment through a unified order acquisition service module; analyzing and standardizing the data to generate customs clearance preprocessing data; performing irreversible desensitization processing based on a static or dynamic customs clearance declaration rule engine to generate desensitization declaration data; encrypting and transmitting the desensitized data through a security data channel based on TLS and bidirectional certificate authentication; and calling a unified customs declaration service module at a receiving end through an event triggering mechanism, generating a customs declaration message according with customs regulations based on the desensitization data, and submitting customs clearance. Through cooperation of cloud isolation, regularized desensitization and encrypted transmission, the security and compliance of customs clearance data are guaranteed while the requirement that the data cannot be out of the cloud is met, and the problem of data security integration in customs clearance of e-commerce is effectively solved.

This application provides a method, apparatus, storage medium, and electronic device for automated identification of customs declaration documents, relating to the field of automated information processing technology. The method includes: identifying the document type of the documents to be identified based on a general language model, determining the document type of each document among multiple documents to be identified; converting each document to be identified into a document image, and performing image preprocessing operations on each document image to obtain a target document image for each document to be identified; and using a visual language model corresponding to the document type to identify and extract key information from the target document image of each document to obtain the target information corresponding to each document to be identified. The automated identification method for customs declaration documents provided by this application can quickly extract the required information from the original customs declaration documents and convert it into structured data for subsequent processing and analysis, greatly reducing labor costs and improving customs declaration efficiency.

This device is installed in airports and allows users to go through immigration and customs procedures. It enables identity verification by comparing the facial image on the passport with the facial image captured by the camera, contactless fingerprint authentication using the camera, QR code reading for information required for immigration and customs procedures, and input of customs declaration forms using a touch panel.

The invention discloses an intelligent customs declaration compliance verification method and system based on multi-source data, and relates to the technical field of customs declaration compliance verification. According to the method, through multi-source data time sequence synchronization, credibility evaluation, multi-level rule verification, multi-protocol conflict judgment and AI semantic cross validation, the problem of verification contradiction caused by multi-source data time sequence deviation in the prior art is solved. And the system is in butt joint with a single window, an ERP system and a document file, calculates a data credibility weight, generates an initial risk score and a conflict judgment score, and outputs a grading risk report. According to the scheme, the compliance verification accuracy and efficiency are improved, the customs clearance delay risk is reduced, and the method is suitable for an intelligent declaration scene of enterprise customs declaration.

The invention relates to a CMS work order management system, and relates to the field of customs management technology, and the system comprises a document recognition system which is used for recognizing a document type, a business field, a certificate issuing attachment, order change data, and a certificate attachment; and the customs affair management system is in communication with the document identification system, the customs declaration system and the order management system, and is used for docking the work order, transmitting the customs declaration information, the order making information, the customs entry and exit list, the check and release list and the check and annotation list to the customs declaration system according to the work order configuration items, and returning customs inventory, the order making state and the order making result. According to the invention, the management efficiency of the customs management system can be improved.