17 results about "Real-time charging" patented technology

The invention discloses an eSIM service cost intelligent optimization method based on different operator information sources, and particularly relates to the technical field of operator network management. The method comprises the following steps: collecting eSIM tariff rules of a plurality of operators and real-time charging data of eSIM terminals, extracting tariff terms and conditional expense trigger mechanisms hidden in charging behaviors of different operators by using an association rule mining algorithm, and constructing a multi-level cost structure model; on the basis of a network registration behavior log of the eSIM terminal, predicting the probability that each operator signal source has an abnormal registration event, and evaluating the risk that each operator signal source triggers a hidden cost trap in combination with a multi-level cost structure model; and according to the real-time network signal parameters of the eSIM terminal, a signal source recommendation strategy is generated in combination with the risk assessment result, and the eSIM terminal is driven to execute a signal source switching operation, so that real-time adjustment and cost optimization control of communication network selection are realized, and the service stability of the eSIM in a cross-network use scene is improved.

The invention discloses an electric charge real-time settlement and intelligent deduction method for an intelligent electric meter, and belongs to the technical field of intelligent power grids, and the method comprises the steps: obtaining current waveform data through high-frequency sampling, generating a carrying feature vector through differential exponential smoothing, and achieving the dynamic classification of equipment load types based on the spectral characteristics and a lightweight convolutional neural network. Generating a dynamic rate parameter in combination with the power grid peak regulation demand index and the historical credit score of the user, and constructing a mixed charging bill; a cross-chain transaction message is formed by analyzing the hash value and embedding the hash value into a block chain timestamp, and a three-section settlement smart contract is activated; and monitoring load fluctuation data after fee deduction, generating an abnormal fluctuation mark, and performing optimization through federated learning. According to the method, comprehensive optimization of high-precision real-time charging, tamper-proof trusted transaction and adaptive anomaly monitoring is realized, and the peak regulation efficiency and the power utilization fairness of the power grid are remarkably improved.

The invention relates to the field of charging piles, in particular to a direct-current charging pile electricity taking device and method, and aims to break through the charging limitation that a traditional direct-current charging pile only serves for a new energy automobile and achieve diversified utilization of electric energy. The device comprises an inverter, a communication module, a control module, a detection module and a display module, the inverter serves as a core component and converts direct-current electric energy into 220V alternating-current electric energy, a CAN communication protocol is adopted, communication between a BMS management system and a charging pile is achieved, key processes such as handshake and parameter matching are completed, and the control module is connected with the display module. The charging pile can carry out safe charging and discharging in a specific situation, and the voltage, the maximum current and the maximum power parameters of electricity taking of the charging pile are set through a protocol; the 4G module communicates with an upper computer, electric quantity data of discharging of the charging pile is sent, and the cost is calculated according to the electricity prices in different time periods. A user can conveniently take electricity from the charging pile, power is supplied to loads except for the automobile, interaction with cloud data is carried out, and real-time billing is facilitated.

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 present application discloses a rail transit charging method, device, equipment, storage medium and product, relating to the technical field of ticket charging. The method receives first scene identification information sent by an inbound turnstile through a mobile phone NFC module, and obtains inbound station identification information based on the first scene identification information and a preset intelligent contactless proximity protocol iTAP; receives second scene identification information sent by a transfer turnstile, and obtains transfer station identification information based on the second scene identification information; receives third scene identification information sent by an outbound turnstile, and determines trip cost information based on the third scene identification information, the inbound station identification information and the transfer station identification information, so that when a user travels across cities and different types of rail transit, they only need to swipe their mobile phone NFC module to pass through, and real-time contactless charging can be realized, greatly improving the efficiency and accuracy of cross-city rail transit charging.

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.

The present invention discloses an intelligent optimization method for eSIM service costs based on signal sources of different operators, which specifically relates to the technical field of operator network management. By collecting the eSIM tariff rules of multiple operators and the real-time billing data of eSIM terminals, an association rule mining algorithm is used to extract the tariff terms and conditional fee triggering mechanisms hidden in the billing behaviors of different operators, and a multi-level cost structure model is constructed. Based on the network registration behavior log of the eSIM terminal, the probability of abnormal registration events occurring in the signal sources of each operator is predicted, and combined with the multi-level cost structure model, the risk of the signal sources of each operator triggering hidden cost traps is evaluated. According to the real-time network signal parameters of the eSIM terminal and the risk assessment results, a signal source recommendation strategy is generated, and the eSIM terminal is driven to perform a signal source switching operation, thereby realizing real-time adjustment of communication network selection and cost optimization control, and improving the service stability of the eSIM in cross-network usage scenarios.

The present invention belongs to the field of power equipment, and specifically relates to a high-precision real-time charging method, a settlement method, and a system based on an intelligent electricity meter. The high-precision real-time charging method includes the following steps: S1: Predetermine the charging interval period. S2: When the charging interval period is reached, trigger the following electricity quantity and electricity fee update operations: load and verify the rate parameters, determine whether the metering chip is abnormal, read the register data, count the newly added energy pulses and fast pulses, count the newly added high-precision electricity quantity, and calculate the newly added high-precision electricity fee. S3: Generate the settlement information for the newly added high-precision electricity fee. S4: Wait for the next round of electricity quantity and electricity fee update operations to be executed, and determine whether a protocol message containing a high-precision real-time electricity fee settlement request is received. The electricity fee real-time settlement system includes: an intelligent electricity meter, an electricity fee management platform, and a digital currency Internet of Things payment terminal. The present invention solves the problems of low charging accuracy of existing electricity meters and the mismatch between electricity fee settlement and digital currency payment data.

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 present invention discloses a method for real-time electricity bill settlement and intelligent deduction for a smart meter, belonging to the field of smart grid technology. The method comprises obtaining current waveform data through high-frequency sampling, generating a feature vector through differential exponential smoothing, and dynamically classifying equipment load types based on spectral characteristics and a lightweight convolutional neural network; generating dynamic rate parameters by combining the grid peak demand index and the user's historical credit score, and constructing a hybrid bill; forming a cross-chain transaction message by parsing the hash value and embedding the blockchain timestamp, and activating a three-stage settlement smart contract; and monitoring the load fluctuation data after deduction to generate abnormal fluctuation markers and optimize through federated learning. The present invention achieves the comprehensive optimization of high-precision real-time billing, tamper-proof trusted transactions, and adaptive anomaly monitoring, significantly improving the grid's peak-shaving efficiency and electricity fairness.

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.

The invention provides a ticket charging method and device, equipment and a storage medium, and the method comprises the steps: obtaining a charging request of a ticket, and calculating a hash value of the charging request; distributing the charging request to a charging instance matched with the charging request according to the hash value of the charging request; after the charging instance receives a charging request, identifying a charging number from the charging request, and adding the charging number into a number delivery queue corresponding to the charging instance; reading a preset number of charging numbers from the number delivery queue, carrying out number deduplication, and adding the charging numbers into a to-be-calculated number queue corresponding to the charging instance; and pulling the charging number from the to-be-calculated number queue by adopting at least two thread pools corresponding to the charging instance to carry out ticket calculation, and outputting a ticket calculation result. Through the method disclosed by the invention, the billing efficiency of the call ticket can be greatly improved, so that the real-time billing requirement of the market on the call ticket can be met.

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.