16 results about "Tax administration" patented technology

The invention discloses an automatic settlement path generation method fusing a knowledge graph and a tax rule, and relates to the technical field of financial science and technology and intelligent finance and tax compliance, and the method comprises the steps: S1, obtaining initial decision basis data and execution process details from a settlement path through a block chain network, employing a Hash chain structure to link each link record, s2, according to the obtained path chain, a graph database is adopted to store dynamic association attributes, and the dependency relationship of each node in the path is determined through knowledge graph reasoning, and S3, if an information fault is detected in the path chain, the matching degree of an execution result and a decision basis is compared through a timestamp verification mechanism, and if the information fault is detected in the path chain, the decision basis is determined. Judging a deviation position and marking a deviation point; according to the automatic settlement path generation method fusing the knowledge graph and the tax rules, the security and reliability of financial transactions and the tax management efficiency are effectively improved.

The invention discloses a cross-border tax compliance management system based on a block chain and artificial intelligence, and relates to the technical field of tax management, and the system comprises a block chain data storage module which is used for storing tax data in cross-border transactions; the intelligent contract execution engine module is used for automatically adjusting a calculation rule and automatically executing calculation, declaration and payment processes of cross-border transaction tax data through an intelligent contract; the artificial intelligence compliance identification module is used for analyzing cross-border transaction data and identifying potential tax compliance risks; the multi-language and multi-regulation support module is used for holding multi-national tax regulations and automatically identifying tax requirements of different countries; the real-time monitoring and early warning module is used for monitoring the tax compliance condition in the cross-border transaction in real time and giving an early warning in time when an abnormality is found; and the user interface and report generation module is used for providing a friendly user interface and automatically generating a tax compliance report. According to the invention, automatic management and risk early warning of tax compliance can be realized.

The invention relates to the technical field of tax risk prediction, and provides an intelligent tax risk prediction system, which comprises a data acquisition module, a feature engineering module, a risk assessment engine, an intelligent early warning module, an interpretability analysis module and a block chain evidence storage module. According to the intelligent tax risk prediction system and method, various advanced technologies and innovative algorithms are integrated, efficient, accurate, explainable and safe prediction of tax risks is achieved, the intelligent level and risk prevention and control capacity of tax management are greatly improved, and the system and method have wide application prospects and popularization value.

The disclosure relates to the field of making online payments by integrating social networks and payment networks to a seamless network. In particular, some embodiments of the invention leverage the information in the social network to conduct financial transactions. A social payment network app can incorporate all or most of the functions of credit cards, internet banking and money order companies by using the data and functions already available in the social network. Some embodiments of the invention provide better counterparty recognition, reduce the chance of fraud, or fraud, and provide a cheaper payment platform to consumers or small businesses while also reducing the administrative burden in making and paying purchases or reporting payments and / or expenses to third parties, such as the employer or tax administration.

According to the semantic rule association system and method based on the accounting knowledge graph, an accounting element three-dimensional semantic modeling system and a rule association degree quantitative evaluation model are introduced, and the problems that accounting elements are isolated and stored, change is complex, and evaluation is difficult in a traditional method are solved; and the universality and high self-evolution of the rule system are realized. The method is suitable for a financial sharing center, a transnational group tax management system, an intelligent auditing platform and other scenes needing to process complex accounting rule association, and is particularly beneficial to prevention of finance and tax compliance risks.

The invention discloses a digital electricity tax digital management system based on artificial intelligence, relates to the technical field of data management, and solves the problem that organic fusion of unified collection and intelligent risk identification of multi-source heterogeneous bills cannot be realized in the prior art. Through an innovative five-layer cloud native architecture, a data layer, a processing layer, an analysis layer, an application layer and a supporting layer are organically integrated, and a complete closed loop from bill collection to intelligent decision making is formed. The data layer realizes unified collection of bills, the processing layer completes data standardization management through a distributed calculation engine, the analysis layer constructs a three-dimensional enterprise portrait and a dynamic risk scoring model, the application layer provides full-life-cycle automatic management, intelligent early warning and one-key declaration of the bills, and the support layer guarantees safety compliance and elastic operation and maintenance of the system. According to the framework, a business finance and tax data chain is broken through, a risk identification gateway is moved forward, and the intelligent level and compliance risk control capability of tax management are remarkably improved.

The invention provides a tax management method and device, electronic equipment, a chip and a storage medium, and the method comprises the steps: calling at least one system according to a target tax type, so as to obtain the tax-related data of at least one subsidiary company; according to the tax-related data of the at least one subsidiary company and the target tax type, at least one tax declaration form corresponding to the at least one subsidiary company is generated, and the type of the at least one tax declaration form is the target tax type; under the condition that the audit state of the at least one tax declaration form is that the at least one tax declaration form passes the audit, creating a declaration task corresponding to the at least one subsidiary company, and sending the at least one tax declaration form to the at least one subsidiary company; and updating the tax state of the at least one subsidiary company according to the state of the declaration task corresponding to the at least one subsidiary company. According to the invention, the method can achieve the automatic connection of a business system and a financial system to obtain the tax-related data, improves the data obtaining efficiency, can carry out the unified tax management and monitoring of a group enterprise, and reduces the tax risk.

The invention relates to the technical field of tax management, and discloses an enterprise tax risk control decision analysis method based on AI and big data processing technology, and the method comprises the steps: collecting the multi-source initial data of an enterprise, and carrying out the preprocessing of the multi-source initial data, and obtaining the preprocessed data; extracting static features, time sequence features and associated features from the preprocessed data to obtain multi-dimensional features; distributing attention weights to the multi-dimensional features, carrying out feature fusion through feature splicing and convolution operation, and outputting a fused high-dimensional feature vector; through an XGBoost model, a lightweight CNN (Convolutional Neural Network) model and a Transform model in a risk identification model, respectively carrying out risk preliminary identification on the high-dimensional feature vector, and carrying out adaptive weight adjustment on an output result of each model by adopting a meta-learning algorithm; based on a risk identification result output by the risk identification model, adopting a Markov decision process model to generate an optimized risk coping strategy; according to the invention, the risk identification accuracy is improved.

The invention belongs to the field of financial data analysis, and particularly relates to a medical beauty financial data analysis method based on big data, and the method comprises the steps: financial relation graph construction, filtering of random noise of financial data, graph structure feature extraction, abnormal high-risk node recognition, financial condition evaluation and privacy security response. According to the scheme, the graph structure characteristics of the financial data are utilized, random noise in the financial data is filtered out, the importance of nodes in a fund link is quantified, a transaction detection link is formed, breadth-first search and business logic verification are combined, high-risk nodes are positioned, and hidden risks are identified; through fuzzy labeling and a rule base, financial indexes are mapped into a fuzzy set, model response is tested through a trap problem, sensitive information is labeled, a privacy vulnerability thermodynamic diagram is generated, a vulnerability source is traced by adopting hardware acceleration and an attention mechanism, hierarchical privacy reinforcement is implemented, the sensitive information leakage risk is reduced, and the privacy security is improved. And the requirements of tax administration and privacy regulations are met.

The invention discloses an enterprise taxpayer tax risk assessment method based on a knowledge graph. The method comprises the following steps: constructing a tax risk knowledge graph database based on a tax management system database; calculating an operating index anomaly threshold value of the enterprise taxpayer; calculating the operating index abnormality of each enterprise taxpayer; calculating the tax payment inmaturity and the tax payment trust level of the enterprise taxpayer; and calculating the weighted operation abnormity degree of each enterprise taxpayer and dividing the risk level of the enterprise taxpayer. According to the method, the knowledge graph, clustering analysis, anomaly detection and an entropy weight method are combined, the problems that in the prior art, data utilization is not comprehensive, industry scale differences are ignored and the like are solved, a multi-dimensional feature model containing operation indexes and behavior indexes, risk related feature indexes and a risk measurement algorithm are constructed, and an automatic risk assessment process is achieved; the tax risk assessment method can be applied to tax risk assessment scenes of various industries, and has wide application and popularization values.

The present invention relates to a method for centralized management of approval processes in tax administration. The method comprises the following steps: Step 1: defining a workflow data structure and storage rule template for the approval process, configuring the workflow data structure and storage rule template to generate an approval process management table group; Step 2: creating a process engine core class, and generating the required external service interface based on the created process engine core class, so as to utilize the generated external service interface to call the generated approval process management table group; Step 3: utilizing the external service interface to perform the required approval process management based on approval process management requirements, wherein the approval process management includes process creation and deployment, process activation, process query, and / or process deletion. The present invention can effectively implement centralized management of approval processes, reduce the cost of process approval, and is safe and reliable.

This invention relates to the field of tax-related data processing technology and discloses a comprehensive tax administration platform for tax-related data collection and analysis. This system addresses the problem of how to break down data barriers between multiple departments and establish a unique data system centered on the real estate unit code in real estate tax management scenarios, a problem inherent in traditional methods. The system registers the sources, unifies fields, and standardizes time for tax-related data from multiple departments. It establishes a unique index for each property based on the real estate unit code, and interfaces to handle tax-related information throughout the entire lifecycle of a property according to its construction, filing, registration, transaction, leasing, ownership, and declaration relationships. The system performs traceability, risk management, pricing support, pre-filling collaboration, and declaration coordination around the property object. It also manages resource scheduling, access control, audit records, anomaly handling, and archiving control during the system's processing. Finally, it enables unified aggregation, traceability, correlation analysis, and collaborative processing of real estate tax-related management scenarios.

The invention relates to the technical field of tax processing, in particular to a financial data tax processing method and system for a supply chain, and the method comprises the steps: obtaining a purchase order, a sales delivery order, a logistics order and a bank flow record in real time, obtaining multi-source data, and carrying out the preprocessing of the multi-source data, and obtaining financial data; associating the financial data based on the full-tax calculation rule, matching the input tax deduction rule, generating a tax voucher, and synchronizing the tax voucher to a financial system; constructing a risk model, identifying abnormal data based on the risk model, and planning an enterprise compliance tax saving scheme; the multi-source data and the tax saving scheme are uploaded to the block chain for storage, and the management authority is set. The method realizes the integration of the whole link of the supply chain and the whole process automation of the financial tax management through the business and financial fusion, the intelligent algorithm and the block chain evidence storage depth integration, guarantees the accuracy of the financial data source, carries out the analysis and early warning of the abnormal data, and improves the management efficiency. And the financial data processing risk is controllable.

The invention discloses a test method for a new power bureau system, relates to the field of tax administration, and provides the test method for the new power bureau system in order to solve the problem that at present, test implementation for the new power bureau system still depends on manpower. And organizing a plurality of different tax data by taking the taxpayer ID as a unique identifier. And two business modes, namely a single-region single-business mode and a single-region multi-business mode, are distinguished according to the attribution and the declaration type for organization. And the file is output in a corresponding directory structure, so that the file is not mixed during storage, and a single-region single-service file or a single-region multi-service file can be conveniently read from a corresponding directory based on test requirements during subsequent pressure test. Therefore, the method can replace manual work to complete organization of tax data, is suitable for characteristic data in a tax scene, eliminates manual operation errors, can generate data files based on two different organization modes of single-region single business and single-region multi-business, and meets more diversified test requirements.

The invention relates to the technical field of tax management, in particular to an intelligent tax management method and system based on big data analysis. Comprising the steps of setting a plurality of business points based on business requirements, and constructing a tax review model according to all the business points; generating a plurality of tax feature structures based on a preset tax database, and setting a tax processing model according to all tax feature structures; and obtaining the sub-tax packages of each business point, and generating a first-level tax strategy according to all the sub-tax packages and the tax processing model. The business structure of the enterprise is analyzed, multiple business points are set, and the corresponding review sub-model is constructed according to the tax data category of each business point, so that the review early warning efficiency of tax risks in the enterprise is improved. According to the method, multiple tax structures are constructed, and the tax processing model is constructed according to the feature parameters of each tax structure, so that the linkage analysis efficiency and accounting declaration efficiency of tax data in an enterprise are improved, and the tax processing capability of the enterprise is improved.

The invention provides a tax processing method based on large language model AI intelligent question and answer, which comprises the following steps: enabling a model to have professional semantic understanding ability in the tax field through model fine tuning or prompt word engineering by utilizing a basic LLM (Logistics Language Model); collecting laws and regulations, policy interpretation, practical operation guide and case text data, extracting knowledge information through NLP structured processing, and integrating and constructing a tax knowledge base; combining an NLP processing flow, and fusing the extracted knowledge to construct a tax domain knowledge graph; performing fine adjustment on the basic LLM through the tax field corpus; aiming at complex tax problems, through thinking chain cue word design, a model is guided to disassemble the problems step by step, a conclusion is deduced in combination with laws and regulations in a knowledge base, and the logicality and compliance of answers are ensured; an API protocol is defined, and the LLM is in butt joint with an enterprise internal tax management system, a nationwide value-added tax invoice checking platform API and an electronic tax bureau declaration interface. According to the invention, the efficiency and compliance of enterprise tax management are improved.