93 results about "Customs declaration" patented technology

The invention provides a digital port intelligent customs affair method and system based on artificial intelligence, and the method comprises the steps: collecting multi-source data, and carrying out the standardization processing of a data base, and generating customs declaration data flow; predicting the risk by using federal learning, and reinforcing learning to generate a checking scheme; verifying document consistency in combination with a block chain, and verifying document logic through OCR and a knowledge graph; and dynamically adjusting a cargo distribution strategy, performing digital twinborn simulation emergency response, and finally generating a full-process visual supervision view. The customs clearance efficiency, the risk prevention and control capability and the emergency response level can be improved.

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 discloses an intelligent customs clearance declaration method, system and device and a storage medium, belongs to the technical field of customs clearance declaration, and solves the technical problems that an existing declaration mode consumes a lot of time and is easy to make mistakes. The method comprises the following steps: step 1, creating an OCR template; step 2, creating an RPA automatic process; step 3, configuring an RPA actuator; 4, an actuator is started in an RPA center console; step 5, obtaining data filled by the customs customs customs keeper; step 6, the declaration plan management service distributes an analysis task to the OCR intelligent document identification service; step 7, the center console of the RPA process automation service monitors the customs declaration plan table; and step 8, the declaration plan management service notifies the declaration subject through a receipt information pushing function. According to the invention, the OCR and RPA technologies are applied, and the problems of low efficiency, high error rate and high cost in the process of manually filling a declaration form on an international trade'single window 'in a cargo import and export customs clearance declaration link by a trade enterprise or a customs declaration agent are solved.

The invention discloses an order information customs declaration method and system oriented to cross-border trade, and relates to the technical field of customs declaration. During operation of the system, order information is collected in an e-commerce platform logistics company and a payment system, related data of the quality, efficiency and compliance of an order are acquired, and cleaning, verification and formatting are performed; after calculation, obtaining a cross-border declaration index Kjsb, checking whether a commodity code and a tax number meet customs declaration requirements or not, automatically complementing missing information, automatically matching the tax number with the commodity code, converting the preprocessed and verified order data into a data format meeting the declaration requirements according to customs declaration specifications, and sending the data to a server; and submitting the generated customs declaration data to a customs system through an API or an EDI interface, obtaining feedback, comparing a cross-border declaration index Kjsb with a preset threshold M, obtaining an abnormality assessment scheme, processing an abnormal condition, and notifying related personnel to intervene or automatically declarate again.

The invention discloses a business data processing method and device, electronic equipment, a storage medium and a program product. The method comprises the following steps: acquiring business data sent by a business system, and determining a customs clearance mode matched with the business data in a customs clearance mode database configured by a customs clearance management system; according to a commodity coding database configured by the customs clearance management system, coding commodities in the business data, and generating customs declaration receipts; generating a customs declaration message based on a customs parameter database and a customs declaration mode configured by a customs clearance management system according to the customs declaration receipt; and sending the customs declaration message to a customs system according to a preset encryption mode. According to the technical scheme, the problem that business data processing of an existing customs clearance management system is large in limitation is solved, direct conversion between business data and declaration data is achieved by calling the customs parameter database and the customs clearance mode database in the customs clearance management system, the input working hours of the business data are saved, and the efficiency is improved. And digitization and visualization of the customs declaration business process are facilitated.

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 an automatic customs declaration commodity specification element auditing system and an implementation method thereof. The method comprises the steps of 1, data preprocessing; 2, training a commodity declaration factor auditing model; step 3, adding a commodity declaration factor auditing rule; 4, predicting a commodity declaration factor auditing model; 5, feeding back a commodity declaration factor auditing result; and step 6, retraining the commodity declaration factor auditing model. The customs declaration method can be applied to automatically auditing specification elements of different customs declaration commodities, and plays a potential important role in improving efficiency and accuracy of customs declaration work and enhancing customs supervision ability. Scientific and technological innovation can be promoted, the working efficiency is improved, and national economic and social development is served.

The invention relates to a declaration factor compliance detection method and device, a storage medium and electronic equipment, and relates to the technical field of customs declaration, and the method comprises the steps: obtaining at least one piece of to-be-detected declaration factor data; key features are extracted from each piece of declaration element data through a preset large language model; based on each key feature corresponding to the same piece of declaration element data, matching a corresponding compliance judgment rule, and detecting whether each piece of basic element information in the corresponding declaration element data is compliant or not according to the compliance judgment rule to obtain a corresponding detection result; if the basic element information which is not compliant exists in the detection result, determining the basic element information which is not compliant as target element information, adding a corresponding target non-compliant reason, and obtaining feedback information of the terminal of the user on the target non-compliant reason; and if the feedback information is judged to be wrong, optimizing the rule matching model based on the feedback information. The method and the device have the effect of improving the efficiency of declaration element data detection.

The invention discloses an intelligent border trade customs clearance remote declaration system based on a mobile APP, belongs to the technical field of trade customs clearance declaration, and solves the technical problem that an existing customs clearance declaration mode is low in efficiency. The system comprises an e-shore communication background management system which comprises a user management module, a content management module, an application system configuration management module, a message management module and a platform data statistics module; e, a shore communication assistant applet installed at the WeChat end; the e-shore communication APP comprises a port cooperation module which has the functions of on-site confirmation, customs declaration release query, check instruction query, enterprise trade statistics and enterprise cargo statistics; the commerce and trade communication module has the functions of vehicle record pre-collection, commodity customs clearance pre-collection, entry declaration, import declaration, external sales commodity declaration and exit declaration; and the marine transportation mutual market module is used for pre-collecting information of commodities purchased by frontiers and related information of transportation work, and has the functions of delivery, price list, pre-entry and settlement list.

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 invention discloses an ERP (Enterprise Resource Planning) management system and method applying an information technology, and relates to the technical field of information, and the method comprises the steps: obtaining the detailed information of a sales order; according to the detailed information of the sales order, automatically identifying a required customs declaration document, and extracting related files; according to the detailed information of the sales order, collecting related data, extracting features, and constructing a customs declaration success rate prediction model; according to the prediction result of the customs declaration success rate prediction model, the historical customs declaration data, the declaration cargo information, the customs declaration document and the cargo features, constructing a risk assessment model, and generating a risk level; and displaying the sales order customs declaration success rate, and generating risk early warning and reminding. According to the method, the customs declaration success rate prediction model and the risk assessment model are constructed, the accuracy of customs declaration success rate prediction and risk assessment is improved by using the XGBoost algorithm, and a user is reminded to take proper prevention measures, so that the probability of customs declaration failure is reduced.

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 a data interaction method and a management system based on digital ERP (Enterprise Resource Planning) of an integrated protection area, relates to the technical field of data management, is used for supervision of special supervision services and management of tax guarantee services by customs, and utilizes a software data interface technology and a network transmission technology to combine with a special service supervision process of the integrated protection area to realize data interaction. Data transmission and information feedback among a tax guarantee system containing a tax guarantee external network, a golden second system and a customs declaration fusion version are designed in detail, data collaboration is achieved, it is guaranteed that each information point conforms to service control logic during exchange, and data safety and reliability are fully guaranteed. Furthermore, the accuracy of data exchange and the reliability and timeliness of information transmission are improved, and the customs supervision efficiency and the enterprise business management efficiency are improved.

The present invention provides a digital port intelligent customs clearance method and system based on artificial intelligence. The method includes collecting multi-source data, generating a customs declaration data stream through standardized processing by a data base; predicting risks using federated learning and generating an inspection plan through reinforcement learning; verifying the consistency of documents in combination with blockchain, and verifying the document logic through OCR and a knowledge graph; dynamically adjusting the cargo distribution strategy, and simulating emergency responses through digital twins, and finally generating a full-process visual supervision view. The present invention can improve the customs clearance efficiency, risk prevention and control capabilities and emergency response levels.

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 relates to the technical field of data processing, in particular to a customs declaration data intelligent analysis method, which comprises the following steps: acquiring the export quantity and price of all customs declarations of any article of any customer; calculating the data similarity between each customs declaration and other customs declaration; constructing a first coordinate system; determining a representative number and a representative price; calculating the deviation degree of each customs declaration; constructing a second coordinate system; calculating a weighted Euclidean distance between each customs declaration and the feature point of any one of the rest customs declaration; and according to the weighted Euclidean distance, obtaining an abnormal score of each customs declaration by using an LOF algorithm so as to realize intelligent analysis of customs declaration data. According to the method, the accuracy of customs declaration anomaly detection and the effectiveness of risk assessment are remarkably improved, a supervision mechanism can be helped to find potential risks in time, the supervision cost is reduced, and the overall risk control level is improved.

The present invention discloses a method and system for cross-border electronic document collaboration of intelligent customs affairs. Relying on the existing international trade single window standard version cargo declaration system, a comprehensive declaration system is created, customs declaration data is input once, data is intelligently decomposed and reported to the customs and other port departments respectively; on the comprehensive declaration system, the data input by the enterprise is linked with the message conversion system, and the customs declaration data is generated according to the data format and message specifications that meet different requirements of the port departments of different countries. It can avoid the need for enterprises to repeatedly input and report data to the port departments of different countries, reducing manpower and time costs.

The utility model discloses an intelligent code searching device for customs declaration, and relates to the technical field of customs commodity storage. The device is provided with a rotary table capable of rotatably conveying in a classified mode and a rotary plate matched with the rotary table to assist in conveying. The device comprises a box body and a conveying module arranged at the upper end of the box body. A mounting frame with an encoder and a conveying belt arranged in the mounting frame are arranged in the conveying module. And; the storage device is arranged at the upper end of the box body and located in the middle of the rotary disc; the rotating module is arranged at the upper end of the box body; and the conveying module, the storage device and the rotating module have a bearing matching relationship. According to the customs commodity code searching device, the rotating disc capable of rotationally conveying the objects and the rotating plate for guiding the objects to enter the conveying belt to be output are arranged, so that the effect of quickly searching and extracting the codes of the objects is achieved, and the problem that an existing customs commodity code searching device lacks orderly and quickly searching and extracting the commodities is solved.

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 present invention discloses a device and method for detecting the consistency of goods for customs clearance. At present, the security inspection of inbound and outbound goods by maritime and customs mainly relies on the customs declaration information of enterprises, the appearance characteristics of goods, and the professional quality of front-line personnel. It is difficult to ensure that the transported goods are consistent with the declared goods on site. Suspicious goods need to be sent to qualified laboratories in the rear for testing and confirmation, which takes a long time and is difficult to meet the needs of high-throughput on-site testing of bulk goods by maritime and customs. The present invention discloses a device and method for detecting the consistency of goods for customs clearance, which can be used for on-site rapid screening of whether the goods for customs clearance are consistent with the declared goods. The device includes: an exhaust adsorption device, an inlet, a sampling device, an ion migration tube, a mass flowmeter, a primary air purification tube, a secondary air purification tube, an air suction pump, an air filter membrane, a signal amplifier, and a signal acquisition and display device.

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.