9 results about "Real-time charging" patented technology

The application discloses a fire hydrant authentication water taking method. In order to overcome the problem that the fire hydrant charging water taking mode of the prior art is difficult to control, the application comprises the following steps: S1, registering information of an intelligent fire hydrant and information of an IC card in an Internet of Things management platform; S2, the Internet of Things platform authorizes the IC card according to the geographical position of the intelligent fire hydrant and the registration information of the IC card, sends the authorization information to the corresponding intelligent fire hydrant; S3, using the IC card to take water from the intelligent fire hydrant, the intelligent fire hydrant offline determines the water taking right of the IC card, supplies water to the IC card with the water taking right, and charges in real time; S4, after the water taking is completed, the intelligent fire hydrant uploads a water taking bill to the Internet of Things management platform, the Internet of Things management platform counts the water taking payment situation of each IC card, and reallocates the IC card right. The IC card and the intelligent fire hydrant are matched with each other, the right is used in stages, and water use management is more reasonable.

The invention discloses an AI intelligent parking fee-paying auxiliary system, and relates to the technical field of intelligent parking management devices, and the system comprises the steps: broadcasting the equipment type of an intelligent parking management device module and the latitude and longitude information of a parking space; acquiring a charging rule of the current berth; the payment success state is transmitted back to the intelligent parking manager module through a Bluetooth channel of the Bluetooth communication unit; and the autonomous starting and leaving process of the vehicle is completed. According to the invention, automatic accurate matching of the vehicle and the parking space, real-time charging information acquisition, non-inductive payment triggered by pre-driving-away and automatic plate descending release after successful payment are realized, and the problems of vehicle-parking space information separation, dependence on manual operation, high communication delay and incapability of cooperating with an automatic driving vehicle in an existing parking system are effectively solved; the risk that the vehicle is trapped due to non-payment is avoided, the automation level, the passing efficiency and the user experience in an intelligent parking scene are improved, and meanwhile reliable technical support is provided for supporting autonomous parking closed loop of the autonomous vehicle.

This invention discloses a cross-platform intelligent task processing system and method based on a cloud-local hybrid architecture, belonging to the fields of artificial intelligence and automation technology. It includes: user terminals receiving natural language instructions through a unified message gateway and sending them to a task processing hub; the hub dynamically selecting a local or cloud model for semantic understanding and task decomposition according to a strategy, generating atomic operation descriptions; distributing tasks to heterogeneous target terminals based on device capability maps; each terminal converting the atomic operation descriptions into local system calls through a cross-platform atomic operation adapter library and executing them securely, with risky operations executed in a sandbox; communication employing multiple encryption methods; the hub integrating a billing module for cost estimation, real-time billing, and budget control; and the hub feeding back execution results to the original message channel through a unified message gateway. This invention ensures data security through intelligent planning and privacy separation, decouples the core architecture from the deployment form, and supports multiple deployment forms and cross-platform collaboration.

The application discloses a flow charging system and a charging method based on Flink, belongs to the technical field of flow charging, and is based on an Flink cluster framework to realize real-time calculation of telecommunication service charging, meet low-delay response requirements of a real-time charging scene of telecommunication services, reduce the requirement for computing resources, and timely correct abnormal flow data in the flow data processing process, so that the adverse effects of the abnormal flow data on charging results are avoided.

The invention discloses an Flink-based flow charging system and charging method, belongs to the technical field of flow charging, and aims to realize real-time calculation of telecommunication service charging on the basis of an Flink cluster framework, meet the low-delay response requirement of telecommunication services on a real-time charging scene, reduce the calculation resource requirement and improve the charging efficiency. And abnormal traffic data in the traffic data processing process is corrected in time, so that the adverse effect of the abnormal traffic data on the charging result is avoided.

The invention discloses an industrial steam supply intelligent charging control method and system based on a DCS, and relates to the technical field of industrial automatic control metering, and the method comprises the steps: collecting instantaneous flow through a flowmeter, carrying out the integration in the DCS to form an accumulated amount, carrying out the synchronous updating of the balance according to the recharging information, and carrying out the automatic control. And constructing a hash chain for the usage and the balance according to a time sequence, and signing an output token by a trusted execution environment. The balance is mapped into a watermark amplitude, and the token derives a phase, is embedded into a phase jump sequence and then is superposed to a valve control instruction. A plurality of monitoring points synchronously collect response signals, time delay distribution comparison and phase echo matching are carried out, a control quantity is generated in combination with token verification, the control quantity is mapped into a duty ratio, a valve is driven in a pulse mode, and real-time charging, abnormal protection and account book traceability are achieved.

This application discloses a multi-level cloud resource intelligent billing method and apparatus based on dynamic orchestration and risk assessment. The method includes: collecting historical user data; predicting future resource demand and uncertainty through time series decomposition and machine learning; constructing a stochastic process model based on user consumption and recharge data to dynamically calculate the probability of credit bankruptcy; using this prediction and risk data as input, solving a multi-objective stochastic programming model to obtain a dynamic resource quota that balances cost, service quality, and risk; driving resource scheduling in real time according to the quota; and finally, performing real-time billing through a three-stage billing function linked to the quota. This application realizes a shift from passive response to proactive prediction and optimization. Through scientific risk quantification and dynamic orchestration, it significantly improves resource utilization and achieves intelligent billing with controllable risk while ensuring service quality.

This application discloses a retrospective billing method, apparatus, system, electronic device, and storage medium. The method includes: sending application information for first transaction data to a first data source, causing the first data source to send the first transaction data to a second data source; obtaining multiple second transaction data entries for retrospective billing from the transaction data stored in the second data source; billing each of the multiple second transaction data entries separately to obtain a retrospective billing sub-result; and summarizing the various retrospective billing sub-results to obtain a retrospective billing result. This technical solution, in retrospective billing, no longer calculates based on the total amount of historical transaction data, but instead bills each historical transaction data entry separately and then summarizes the results. This ensures that the retrospective billing result comes from each traced historical transaction data entry, providing finer granularity, maintaining consistency with real-time billing standards, and facilitating subsequent reconciliation for trading institutions, thus improving the reconciliation service experience for trading institutions.

This invention provides a highway network toll station system, relating to the field of intelligent transportation technology, comprising: edge layer devices deployed in each toll lane; and a station-level centralized processing platform, serving as the toll collection entity and communicatively connected to the edge layer devices in all lanes. The station-level centralized processing platform is configured to: receive transaction requests from all lanes and perform centralized, unified processing to generate transaction results; perform unified monitoring, remote control, and intelligent linkage of the edge layer devices; perform real-time toll calculation for all vehicle transactions based on a centralized tolling rule base; and, by uniformly processing transaction requests and performing toll calculations through the station-level centralized processing platform, avoids the independent deployment of complete computing and control units in each lane, reduces hardware investment, enables resource sharing, improves resource utilization, and reduces resource waste and costs.