845results about "Billing/invoicing" patented technology

A system and method for facilitating collection of Road User Charges (RUC) using a digital currency within a Distributed Ledger Technology (DLT) network are disclosed. The system generates secure digital wallets for Road Users and Facility Owners, receives trip, position, distance, and cost data from vehicles, sensors, and facility systems, and encodes settlement logic into smart contracts. These contracts automatically execute jurisdiction-specific disbursements across blockchain, directed acyclic graph (DAG), or hashgraph frameworks, ensuring scalability and auditability without reliance on centralized tolling infrastructure. An AI Activity Module processes multi-source telemetry—including vehicle sensors, GNSS / PNT data, roadside infrastructure, and third-party traffic feeds—to detect congestion, forecast conditions, optimize routing, and dynamically adjust segment-level RUC pricing in real time. The integration of AI-driven adaptive pricing with distributed ledger settlement provides a decentralized, infrastructure-agnostic framework for secure, transparent, and verifiable road use fee collection across multiple jurisdictions, distinct from conventional tolling systems.

Novel techniques are disclosed for providing vPLC-specific metadata service including customized vPLC-specific metadata. In certain embodiments, each vPLC may generate a customized metadata using its corresponding vPLC-specific customization instructions. In some embodiments, a vPLC-specific metadata service may be performed using pre-generated customized vPLC-specific metadata, on-the-fly customized metadata, pre-generated CSP-format metadata, or combinations thereof.

Techniques for facilitating connectivity to vPLCs created in a CSP-provided infrastructure in a region. Within the CSP-provided infrastructure in a region, when the destination of a packet is determined to be an endpoint associated with a particular vPLC, the packet is tagged with information related to the particular vPLC. The vPLC-related information for the particular vPLC can include, for example, a vPLC identifier identifying the particular vPLC, an identifier identifying a customer associated with the endpoint, a virtual cloud network identifier identifying a virtual cloud network (VCN) belonging to the particular vPLC and where the endpoint is part of the VCN, and other vPLC-related information. The packet is then routed or communicated within the CSP-provided infrastructure in a region along with the tagged vPLC-related information. The vPLC-related information is used as part of the connectivity and for routing of packets within the CSP-provided infrastructure in a region.

Systems and methods of the disclosure include: identifying, by a cloud resource management system, a cloud resource consumption model associated with one or more cloud resources; generating, by the cloud resource management system, a sequence of instructions implementing a smart contract based on the cloud resource consumption model; sending, to a distributed ledger network, the smart contract; receiving, by the cloud resource management system, cloud resource usage data associated with the one or more cloud resources; and causing, by transmitting a message reflecting the cloud resource usage data to the distributed ledger, the smart contract to be executed.

A blockchain-based system for managing music rights and royalties is disclosed. The system enables artists and contributors to upload music, assign revenue percentages, and track usage via smart contracts on a distributed ledger. Play counts are immutably recorded across distributor platforms. A contributor dashboard provides real-time access to royalty data. The platform incorporates Majority Reports to validate metadata matches and calculate royalties, and Minority Reports to flag discrepancies without payments, thereby ensuring data integrity. A Golden Box smart contract module replicates song rankings and applies predictive classification models to identify features associated with musical success. These mechanisms improve transparency, accuracy, and fraud prevention in royalty distribution.

An AI-based energy edge platform is provided herein with a wide range of features, components and capabilities for management and improvement of legacy infrastructure and coordination with distributed systems to support important use cases for a range of enterprises. The platform may incorporate emerging technologies to enable ecosystem and individual energy edge node efficiencies, agility, engagement, and profitability. Embodiments may forecast, plan for, and manage the demand and utilization of energy in greater distributed environments. Embodiments may use AI, IoT, and technologies that filter, process, and move data more effectively across communication networks. Embodiments of the platform may leverage energy market connection, communication, and transaction enablement platforms. Embodiments may employ intelligent provisioning, data aggregation, and analytics.

The invention relates to the technical field of data processing, in particular to an invoicing, accounting and tax declaration method and system for a supply chain, and the method comprises the following steps: obtaining original data, including purchase order, customs declaration and invoice information, generated in each business link of the supply chain, and synchronizing the original data to a financial data center through a system interface for standardization processing; classifying the standardized data based on a preset rule, generating a to-be-processed receivable bill and a to-be-processed payable bill, and associating corresponding business records; comparing the purchase order, the acceptance record and the invoice information, generating an account checking difference report, and pushing the account checking difference report to a related service terminal; updating the account period state according to the account checking result; extracting tax refund elements in the customs declaration, generating a tax refund application, and tracking an auditing progress until the tax refund application arrives at an account and is filed; the method automatically synchronizes data of links such as customs affair and storage through a system interface and performs standardization processing, solves the problem of lagging of manual data collection, and improves the data synchronization efficiency.

The invention provides a safe short message link invoice generation system and method based on a bank intranet, and belongs to the technical field of data processing, and the method specifically comprises the steps: determining an available invoicing amount interval based on the change condition of a centralized verification risk time period in an effective time interval of an invoicing short message link at a current time period under different invoicing amounts, and when the matching invoice amount is not in the available invoice amount interval, according to the change condition of the matching invoice in different concentrated verification risk time periods and the invoice amount influence condition of the different concentrated verification risk time periods on the future time period, the matching invoice amount is calculated according to the change condition of the matching invoice in the different concentrated verification risk time periods. According to the generation processing method for determining the effective time interval of the short message link invoice of the server of the bank intranet in the current time period, the congestion condition of the server for checking and downloading the invoice is avoided.

The invention provides a cloud computing operation settlement platform intelligent contract processing system based on a government affair system, and relates to the technical field of financial science and technology, and the method comprises the steps: a user terminal submits a structured business data body containing a business type identifier, amount information and an electronic certificate to a cloud intelligent contract; executing standardized conversion based on the structured business data volume received by the cloud smart contract, and generating an XBRL language data packet; encrypting and storing the generated XBRL data packet to a distributed storage node, and generating a unique data index; based on the unique data index, the smart contract calls a rule engine to retrieve and analyze the corresponding XBRL data packet; and according to the business type identifier in the analysis result, automatically checking the amount compliance and the authenticity of the electronic certificate. Through safety technologies such as full-process automatic execution, standardized conversion, encryption and block chain, the service period is shortened, data safety is guaranteed, and settlement is accurate.

The present invention relates to a privacy-preserving EV charging authorization and billing system, and a method for the same. The proposed system is configured to integrate permissioned blockchain with fully homomorphic encryption. The present invention aims to eliminate plaintext exposure mitigates single point of failure, by performing all authorization and billing computations on encrypted data and recoding transactions immutably, wherein an EV user securely generates encrypted authorization and billing requests using FHE-based public keys. The charging station routes these encrypted requests to the blockchain network, which records immutable encrypted transactions and verifies them via consensus. The FHE computation layer performs secure operations on the encrypted data for authorization and billing, while smart contracts execute automated verification and billing computations, ensuring transparency and auditability.

A blockchain-based data processing method, performed by a consensus node on a second blockchain, includes: obtaining a cross-chain message submitted by a forwarding service device, and obtaining a blockchain identification carried in the cross-chain message associated with cross-chain transaction data stored in a first blockchain; obtaining, in a second blockchain corresponding to the blockchain identification, block Merkle information corresponding to the first blockchain, and obtaining, in a block Merkle tree represented by the block Merkle information, a Merkle proof set corresponding to the cross-chain message, the Merkle proof set including node information of one or more nodes in the block Merkle tree,; verifying validity of the cross-chain message according to the Merkle proof set and the block Merkle information; and obtaining a transaction execution result corresponding to the cross-chain message in response to verification succeeds, and storing the transaction execution result into the second blockchain.

Systems and methods are described for executing tenant artificial intelligence pipelines by dynamically selecting service providers based on resource consumption. A server can poll a group of service providers and receive resource information that indicates compute, network, storage, and token requirements to perform an action. When the tenant AI pipeline executes, a pipeline engine can select a service provider to execute the action based on stored resource information. The service providers available in the group can also dynamically change based on terms of service.

The invention includes a UI that allows addition of functional placeholders to an AI pipeline, and a rules engine that chooses pipeline objects during or before AI pipeline execution. The rules engine can select pipeline objects meeting the same function type and object rules of the functional placeholder. The rules engine also applies customizable security rules and artificial intelligence (AI) model routing to queries. Remedial actions are taken when the rule evaluation exceeds a threshold. The remedial actions include transforming the query by replacing sensitive information with a reversible placeholder. The actual result can be modified by reversing the placeholder and redacting additional sensitive information. The system can notify the user, an administrator, and a supervisor regarding the security evaluation and remedial actions. The evaluations can be logged for auditing purposes.

A computer-implemented method for executing a processing function in a software service in response to an end user natural language instruction, the method comprising: receiving, via a user interface, message content from an end user expressing an intent; selecting a processing function, from among a set of processing functions, to execute in response to the received message content, the selected processing function being executable by following any one from among a plurality of different executable sequences of component actions; causing the selected processing function to execute by determining and following an execution traversal path in a data graph.

The invention discloses an electronic bill business processing method, device and equipment, which are applied to a payment platform. The method comprises the following steps: when a user carries out consumption payment at a merchant, the payment platform obtains transaction information of the consumption payment from a merchant end corresponding to the merchant; according to the transaction information, calling a direct connection port for directly connecting the payment platform and a tax platform; an electronic bill generation request is sent to the tax platform for the transaction through the direct connection port, and the electronic bill generation request carries a tax payment sub-request; receiving a corresponding electronic bill generated and returned by the tax platform after the tax platform processes the tax payment sub-request; and sending the electronic bill to a user side corresponding to the user.

Embodiments predict a target variable for accounts receivable using a machine learning model. For a first customer, embodiments receive a plurality of trained ML models corresponding to the target variable, the plurality of trained ML models trained using the historical data and comprising a first trained model having no grace period for the target variable and two or more grace period trained models, each grace period trained model having different grace periods for the target variable. Embodiments determine a Matthews' Correlation Coefficient (“MCC”) for the first trained model. When the MCC for the first trained model is low, embodiments determine the MCC for each of the grace period trained models, and when one or more MCCs for each of the grace period trained models is higher than the MCC for the first trained model, embodiments select the corresponding grace period trained model having a highest MCC.

According to the commercial vehicle ETC transaction invoicing method and device provided by the embodiment of the invention, a bidirectional identity authentication mechanism is innovatively designed, and safety protection of data transmission is realized through hardware binding and session encryption. And a two-dimensional code generation system is constructed, and a reliable data transmission mechanism is established in combination with a check value and a block index. And integrity verification is introduced, and the accuracy of the invoicing process is ensured through ciphertext analysis and data verification. According to the method, the defects of the traditional technology in the aspects of data security, communication reliability, invoicing processing and the like are effectively overcome, and technical guarantee is provided for invoicing of commercial operating vehicles.

A data processing method based on a blockchain. The method, which is executed by means of a computer device that maintains a consensus node on a second blockchain, comprises: acquiring a cross-chain message submitted by means of a forwarding service device, and acquiring a blockchain identifier carried in the cross-chain message, wherein the cross-chain message is associated with cross-chain transaction data stored in a first blockchain (S101); acquiring, from a second blockchain corresponding to the blockchain identifier, block Merkle information corresponding to the first blockchain, and acquiring, from a block Merkle tree represented by the block Merkle information, a Merkle proof set corresponding to the cross-chain message, wherein the Merkle proof set includes node information of some nodes in the block Merkle tree, and the verifiable height of the block Merkle information in the first blockchain is greater than or equal to the block height of a block where the cross-chain transaction data indicated by the cross-chain message is located in the first blockchain (S102); performing validity verification on the cross-chain message according to the Merkle proof set and the block Merkle information, so as to obtain a cross-chain verification result corresponding to the cross-chain message (S103); and if the cross-chain verification result indicates that the verification is successful, acquiring a transaction execution result corresponding to the cross-chain message, and storing the transaction execution result in the second blockchain (S104).

A computer-implemented method comprises obtaining an electronic claim record comprising claim data describing damage to a vehicle; selecting one or more of an obtained plurality of electronic vehicle diagnostic records by applying the records and claim data as inputs to a trained machine learning model, wherein responsive to the inference input the trained machine learning model selects one or more of the records; obtaining a vehicle repair estimate data structure having a plurality of fields; populating the fields of the vehicle repair estimate data structure with at least one of the claim data and the vehicle data from the selected one or more electronic vehicle diagnostic records; and generating a user interface for presentation to a user on a user device, wherein the user interface includes display elements that represent the populated fields of the generated vehicle repair estimate data structure.

System and methods relate to over-the-air programming for a work machine. The system includes a connectivity module coupled to the work machine. The system also includes one or more processing circuits comprising one or more memory devices configured to cause one or more processors to: designate a desired software version; receive an indication of a software version installed on the work machine; based on the indication of the software version installed on the work machine, determine whether the work machine is eligible to receive the desired software version; send the desired software version to the connectivity module physically coupled to the work machine; after sending the desired software version to the connectivity module, send a command to initiate an installation of the desired software version from the connectivity module to the work machine; and cause the desired software version to install to the work machine via the connectivity module.

There is provided a wireless end-user device that includes a wireless wide area network (WWAN) modem to communicate Internet data with a WWAN, and one or more processors configured to pass, using an operating system packet network stack, Internet data packet traffic, including Internet data, between the WWAN modem and one or more applications being executed by the one or more processors, classify, using the application identification agent, each of individual flows of the Internet data packet traffic passing through the operating system packet network stack according to the one or more applications associated with each of the individual flows, measure, using a service measurement agent, for each of the classified individual flows, an amount of the Internet data packet traffic associated with each of the one or more applications, and apply, using a policy control agent, application-specific traffic policy controls to each of the classified individual flows.

A wireless network, systems and methods, wherein each passenger-carrying rideable vehicle deployed in the system includes: a modular construction consisting of a lightweight body driven by an electric-battery driven motor, and specially adapted for receiving a customizable ornamental body having the appearance and personality of a particular or an inanimate object; motorized and / or animated elements disposed beneath the animal character skin covering for enabling animal behaviors and / or expressions that promote a fun and entertaining ride experience; an audio-transducers mounted within the animal character body for playing music from smartphone applications and animated animal character body portions to provide a sense of realism and excitement as the electric entertainment vehicle is ridden through an amusement facility.

The invention belongs to the technical field of remote supervision, and discloses an electronic two-ticket remote supervision method and a related device thereof. The electronic two-ticket remote supervision method comprises the steps that a remote supervision platform receives a permission application of an electronic work ticket and / or an operation ticket initiated by an operation terminal, the remote supervision platform automatically verifies the permission application based on a pre-stored security rule base, and after the automatic verification is passed, the remote supervision platform initiates a remote supervision session, a multimedia communication link with at least one field terminal is established, a supervisor performs remote real-time supervision on an operation preparation state of a field operator based on the multimedia communication link through a remote supervision platform, and after the operation preparation state is confirmed to be qualified through remote real-time supervision, the remote supervision platform generates an electronic permission instruction and sends the electronic permission instruction to the field terminal. Authorizing to execute the corresponding electronic work ticket and / or operation ticket; according to the invention, real-time supervision and guidance can be realized, and the operation risk caused by information lag is avoided.

An online software platform (OSP) may store custom digital rules used for producing resources for relationship instances of certain primary entities with other entities. A custom rule may be created based on input from the primary entity that is intended to override a corresponding one of other stored digital rules (i.e., resource digital rules). The OSP automatically alerts the primary entity within a user interface or via other communications in response to the determination that an underlying change in data used to process primary entity data would affect a result of application of the custom digital rule, thus enabling such changes to be efficiently addressed and prevent incorrect results being output.

To easily manage data of receipts issued at a plurality of stores.SOLUTION: A data management device comprises a reception section and a control section. The reception section receives receipt data in which a receipt including information of a transaction settled as one transaction is digitalized. If subject person identification information for identifying a subject person of a transaction is attached to receipt data received at the reception section, the control section stores the receipt data to a first storage section and a second storage section. If the subject person identification information is unattached thereto, the control section stores the receipt data in the first storage section and does not store it in the second storage section.SELECTED DRAWING: Figure 6

The invention provides a rules engine that evaluates, modifies, and dynamically routes inputs to AI models based on provider restrictions and management rules. Provider restrictions are stored. Based on management rules and the detected provider restrictions, the input can be modified with contextual placeholders and prompts can be injected for input into the destination model. Reversal of the modifications can occur to the outputs. The system can notify the user, an administrator, and a supervisor regarding the security evaluation and remedial actions. The evaluations can be logged for auditing purposes.

An auto reviewer system designed to execute required rule checks, extract information of interest to human reviewers, and generate a final report with the results. The auto reviewer system operates by checking that an order satisfies a pre-defined set of conditions and raising a flag for each condition not satisfied. The flags considered pertinent to a user's understanding of the final report are then combined into order notes, and the order notes are automatically entered into the internal note fields of the corresponding orders in one or more workbenches. Additionally, flags raised that correspond to order issues requiring manual intervention trigger automatic support request notifications such as emails, which are sent to a user to be resolved. If an order has no issues requiring manual intervention, then the note generated for that order includes a complete statement and is passed for final report generation.

The invention relates to the technical field of bill management, in particular to a retail terminal invoice co-processing method based on multi-service provider interface integration. According to the retail terminal invoice co-processing method based on multi-service provider interface integration, a retail terminal completes collection of consignment data, and an operator initiates a service charge settlement process after data verification is passed; after the store manager audits the consignment data, the dealer issues a value-added tax special invoice, generates an OFD format file through the tax UKey, and uploads the OFD format file to the system; the retail terminal extracts the invoice structured data, verifies the consignment data and the invoice data online, and confirms settlement after confirming that the consignment data and the invoice data are correct; and after the third-party financial system obtains the data, the service fee is settled to the dealer. The retail terminal invoice co-processing method based on multi-service provider interface integration is high in adaptability, human input is reduced, data errors caused by manual input errors are greatly reduced, the business data accuracy is improved, and the business efficiency is improved.

The embodiment of the invention discloses a cross-enterprise invoice risk collaborative identification method and system, and the method comprises the following steps: obtaining a tax policy file, extracting a policy entity and rule logic through an NLP, and constructing and dynamically updating a risk knowledge graph; the updated risk rule is pushed to a federation center, local data features are loaded through the enterprise node, the tax node and the bank node, and local gradient calculation is carried out; homomorphic encryption is carried out on the gradient obtained through local calculation, an encryption result is sent to the federation center through an encryption channel, and aggregation and model updating are completed by the federation center; and carrying out risk identification on real-time invoice data by utilizing the global model obtained by training, marking suspicious invoices and carrying out abnormal type classification. According to the embodiment of the invention, the model precision can be improved, the processing time is shortened, and the processing efficiency is improved.

The present disclosure provides a method for supporting installation of a contract certificate by a charging service providing device. As an example, the present disclosure may comprise the steps of: generating a first contract certificate for a first electric vehicle (EV); and transmitting the first contract certificate to a first external charging service providing device (CSP) with which a roaming contract has been made, so as to enable the first contract certificate to be installed in the first EV via the first external CSP in a roaming situation.