728results about "Apparatus for hiring articles" patented technology

The invention discloses an elastic resource allocation and barrier gate linkage control system and method for mixed traffic of parking lots, a medium and equipment, and the system comprises a vehicle type recognition module, a dynamic resource allocation module, a cooperative control decision module, an emergency channel management module and a multi-mode communication module. According to the parking lot mixed traffic management system integrating vehicle-road cooperative communication, double-layer game optimization and elastic resource pool division, an independent resource pool and a dynamic quota adjustment mechanism of automatic driving vehicles and manual driving vehicles are constructed, and a charging pile-barrier gate cooperative optimization unit and a multi-stage emergency response protocol are combined; the global optimization of parking lot resource allocation and traffic control is realized, and the problems of prominent resource competition contradiction, separation of barrier gate control and resource allocation, insufficient intelligence of an emergency response mechanism and short delay of multi-mode communication and decision cooperation in a mixed traffic scene are solved.

The invention relates to a multi-account security management method and system based on a mobile energy storage charging pile. According to the method, a multi-level user account system and a dynamic authority management mechanism are established, a dynamic token carrying authority attributes is generated through encryption verification to achieve access control, user operation is captured in real time to generate log data with an identity label, the log data are synchronized with a cloud end, and an equipment control instruction is generated in combination with Internet of Things data collection and authority verification. Meanwhile, authority rules are dynamically updated, whole-course tracing of operation behaviors of the charging pile system, real-time effectiveness of authority change and linkage management and control of equipment states and user authorities are achieved, and the problem that potential safety hazards are caused by extensive authority control, difficult operation tracing and authority strategy lagging of a traditional charging pile management system is effectively solved.

The invention relates to a charging parking space intelligent occupation management linkage control method and system based on the Internet of Things, and belongs to the field of charging parking space management.The method comprises the steps that the state of a charging pile, the state of a parking space lock and occupation information are collected through Internet of Things equipment, and a dynamic parking space resource pool is constructed; based on knowledge graph semantic reasoning, matching parking spaces meeting vehicle type adaptation and available time periods, and combining historical late data of a user to set elastic reservation retention duration; the identity legality is verified by comparing the information of the reserved vehicle with the information of the actual parking vehicle; and when the charging pile is controlled to start charging and the parking space lock is unlocked, the block chain is synchronously associated to generate the transaction voucher, and the transaction record uploading is completed based on the voucher after the charging is finished, so that the technical effects of efficient matching and dynamic management of the charging parking space resources are realized.

The invention belongs to the technical field of battery replacement, and provides a battery replacement cabinet system applied to an electric bicycle, which comprises the following steps: analyzing the fluctuation condition of temperature data and establishing a dynamic threshold compensation mechanism by using the temperature data collected by a temperature sensing monitoring unit and a composite monitoring unit; the method comprises the following steps: performing time sequence construction on temperature data collected by a temperature sensing monitoring unit and a composite monitoring unit, analyzing the time sequence to obtain an intrinsic mode function component, converting the intrinsic mode function component to obtain a Hilbert spectrum, distinguishing a low-frequency intrinsic mode function component and a high-frequency intrinsic mode function component according to the Hilbert spectrum, and calculating the intrinsic mode function component according to the low-frequency intrinsic mode function component and the high-frequency intrinsic mode function component. Integrating the low-frequency intrinsic mode function and the high-frequency intrinsic mode function to obtain a temperature change time domain envelope line; analyzing the slope of the smooth rising stage of the temperature change time domain envelope, judging whether the charging temperature change of the battery is normal or not in real time, and if not, generating a pre-alarm signal; and based on the generated pre-alarm signal, analyzing a Pearson's correlation coefficient between the monitoring units, and positioning and adjusting a temperature anomaly region.

A method includes determining a fuel amount; providing navigation directions; determining a vehicle arrival; transmitting a fuel purchase request; controlling a tank cover; receiving fuel; detecting that a tank is full; and transmitting a stop fueling request. A computer system includes a processor configured to: determine a fuel amount; provide navigation directions; determine a vehicle arrival; transmit a fuel purchase request; cause a pump to provide fuel; control a tank cover; detect that a tank is full; and transmit a stop fueling request. A non-transitory computer-readable medium storing thereon a set of instructions that, when executed on a processor, causes the processor to: determine a fuel amount; provide navigation directions; determine a vehicle arrival; transmit a fuel purchase request; cause a pump to provide fuel; control a tank cover; detect that fuel tank is full; and transmit a stop fueling request.

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.

The invention relates to the technical field of the Internet of Things, and discloses a charging pile management method and system based on the Internet of Things. The method comprises the steps that an Internet of Things sensor collects charging pile parameters to obtain original data; user identity authentication allocates an authorization level; carrying out cable temperature anomaly detection and calculating an early warning signal; user charging behavior clustering analysis is carried out; carrying out LSTM prediction load optimization scheduling; and performing multi-period dynamic electricity price calculation to generate a bill. According to the invention, real-time monitoring and anomaly detection are carried out on the temperature of the cable in the charging pile through the Internet of Things technology, potential safety hazards are identified in time, and intelligent charging load prediction and scheduling are realized in combination with user behavior characteristics.

The invention discloses a non-contact charging pile interaction method and device and a medium, belongs to the technical field of charging piles, and aims to solve the technical problems that non-contact interaction of existing charging piles has certain limitation, user intentions are difficult to understand, and the accuracy of action recognition is low. The method comprises the following steps: performing preliminary wake-up control on a charging pile system to obtain a wake-up control strategy; performing dual verification of the optimal interaction area and the gesture action on the user to obtain an operable control strategy; performing motion analysis on the wrist action of the user, and generating a charging adjustment control strategy based on a charging power value identified by the wrist action; performing security payment control under two-factor authentication on the gesture action of the user to obtain a security payment control strategy; and based on a wake-up control strategy, an operable control strategy, a charging adjustment control strategy, a safety payment control strategy and an environment self-adaptive control strategy, non-contact charging control of the user on the charging pile system is completed.

The embodiment of the invention provides a battery changing cabinet control method, system and device and a medium. The method comprises the steps that signal scanning is conducted through a battery changing cabinet based on a wireless mode; in response to a prompt signal of scanning the to-be-replaced battery, performing authentication operation based on the prompt signal; and in response to the received battery replacement instruction and the authentication passing result, pushing out the battery empty bin through the battery replacement cabinet.

The invention discloses a shared charging equipment instruction control system and method based on multi-mode signal fusion, particularly relates to the field of shared charging control, solves the protocol out-of-step overshoot risk, takes a handshake millisecond window as a switching-in port, and synchronously checks a digital message and a physical transient state through surge energy and thermal inertia double indexes. Locking an instruction missing risk before a driving link; the residual error-message joint judgment captures hidden abnormity in real time at a power issuing node, a rollback channel is rapidly pulled back to a safe power grade, and brand-channel mapping logic is triggered to re-plan output resources; a threshold bin dynamically tightens a threshold according to a target-actual measurement power difference, so that prediction and actual measurement are gradually fitted, and new prior is written back to a forward inference link; high-voltage overshoot and power failure of the whole row are avoided, a billing curve is completely matched with a charging curve, high turnover of a port can be kept in a passenger flow peak, the safety is integrally improved, the service life of hardware is prolonged, and the user experience is improved.

A power distribution control system may include a grid interface, a grid power rail, an electrical vehicle (EV) interface, an EV power rail connected to the EV interface, a first load interface for connection to a first external load, a second load interface, and a controller. The controller is configured to output control signals to switches to actuate the system between a first system state in which power on the EV power rail is supplied to the first load interface and power on the grid power rail is concurrently supplied to the second load interface; a second system state in which power on the EV power rail is concurrently supplied to the first load interface and the second load interface; and a third system state in which power on the grid power rail is concurrently supplied to the first load interface and the second load interface.

The invention relates to a management method and system of an intelligent battery replacement cabinet, and solves the problem that the safety efficiency and large-scale development of battery replacement service are restricted due to the fact that the intelligent battery replacement cabinet is difficult to adapt to the complex scene and diversified requirements of outdoor battery replacement of an electric vehicle. Matching authentication is completed through the electric signal detection assembly, and a connection health degree score is generated in combination with the physical contact state of the battery connector and the electric signal conduction quality; when the adaptation is passed and the score is not lower than a preset abnormal threshold value, triggering face authentication, and comparing an authorized face database to obtain an identity authentication result; and generating a battery replacement authorization, auxiliary authentication or connection exception instruction based on collaborative decision-making of the two, and recording and synchronizing whole-process data to the cloud management platform after executing corresponding operation. The method has the following effects that the safety of the battery replacement connection core is guaranteed, and the safety and the energy complementing efficiency are cooperatively balanced through the battery and identity authentication.

A resource sharing marketplace platform for vehicle parking spots includes a back-office server including a controller adapted to run a plurality of integrated systems and a wireless communication module in communication with the controller, wherein, the resource sharing marketplace platform is adapted to receive, via the wireless communication module, a request from a user, collect, via the wireless communication module, data related to available registered parking spots from a network database of registered parking spots, and provide a response to the user including a sub-group of registered parking spots.

The invention relates to the technical field of sports camera battery lease operation management, and discloses a sports camera battery charging bin operation management method and system, which can obtain use data such as discharge intensity data and internal temperature data of a battery and dynamically update the performance record of the battery according to the use data. The real power supply capability of the battery at different temperatures and discharge intensities can be accurately reflected, and the limitation that the battery performance is evaluated only according to the cycle index or the normal temperature state in the prior art is overcome. Meanwhile, the real-time environment information and the historical use data of the charging bin are combined, the station demand feature of the charging bin is pre-judged, the feature describes the battery capacity possibly needed by the next user, and therefore the user demand can be matched in a targeted mode. When a battery renting request is received, the system compares pre-judged site demand characteristics with performance records of available batteries and recommends the most matched battery.

Systems, apparatuses, methods, and computer program products are disclosed for geofence-based induction charging system. An example method includes identifying an EV by validating vehicle parameters using vehicle identification circuitry and identifying a geofence charging area by comparing vehicle geolocation data with geofence area data using geofence circuitry. The example method further includes generating an entry token and an exit token for the EV using token generation circuitry, and generating a charging transaction for the EV based on the entry token and the exit token using payment transaction circuitry. The entry token comprises at least one or more of a vehicle identifier, an entry timestamp, an entry location, or an entry power level, and the exit token comprises at least one or more of the vehicle identifier, an exit timestamp, an exit location, an updated self-charging rate, an updated power consumption rate, or an exit power level.

A method of operating an electric vehicle charging system can be provided by receiving a request to initiate a charging session for an electric vehicle associated with a registered user of a tenant electric vehicle charging system, allocating a receptacle of a outlet to the charging session to provide an allocated smart outlet, initiating supply of electrical power to the electric vehicle associated with the registered user via the allocated smart outlet responsive to the request to begin the charging session, monitoring the supply of electrical power to the electric vehicle to determine a cost associated with the charging session, receiving a request to terminate the charging session for the electric vehicle; determining a total cost for the charging session; and requesting payment of the total cost for the charging session.

An agent associated with an electric vehicle (EV) includes a network interface configured to facilitate data communication via a network, a memory, and a processing circuit comprising a processor. The processing circuit is configured to receive pricing information for a charging interval from a charging management system, receive, via a user interface, information indicative of a charging urgency from a user, and determine an urgency value k based on the information indicative of the charging urgency, determine a desired charging rate PD for the EV, determine, based on the desired charging rate PD, a bid power Pbid for a charging interval, determine, based on the pricing information and the urgency value k, an agent monetary value for power during the charging interval, and transmit a bid including: a charge interval start and stop time, the agent monetary value, and the desired charging rate PD to the charging management system.

The invention discloses an intelligent management system and method for a power bank and the power bank, and the system comprises a real-time monitoring module which is used for monitoring the monitoring data in the charging process in real time, and the monitoring data comprise the energy capacity, the electrical performance parameters and the temperature state; the charging adjustment module is used for dynamically selecting a corresponding charging strategy based on the monitoring data; and the user interaction module is used for providing visual indication of the operation state of the power bank and supporting remote monitoring management based on the charging strategy. By continuously tracking the energy capacity, the electric potential, the current flow and the thermal state of the power bank, the operation safety is ensured. The charging adjustment module dynamically optimizes the charging strategy according to the equipment type and the user behavior, improves the charging efficiency and prolongs the service life of the battery.

Methods and systems are provided. One method includes processing operations to share electronic keys (e-keys). The method includes receiving a request to share an electronic key (e-key) of a vehicle with a recipient device. The request to share the e-key is initiated by sending a message to the recipient device using a sharing device. The method includes processing the request to validate the request to share the e-key, as received from the sharing device having associated therewith a registered owner e-key. Processing the request includes generating the e-key securely by the sharing device and registering the e-key that was generated with a server associated with a manufacturer of the vehicle. The method includes enabling the e-key for use on the vehicle by the recipient device responsive to said processing of the request. The request to share the e-key includes enabling a setting to apply a privilege level for use of the vehicle via the e-key. The privilege level provides one or more conditions of use of the vehicle via the e-key.

A single-phase fee-controlled electric energy meter based on the Internet of Things, the electric energy meter comprising a meter body (1) and an intelligent working system, wherein a mounting base (2) is provided on a back face of the meter body (1), and fixing holes (23) are uniformly provided on the mounting base (2); a display screen (11) is provided on a front face of the meter body (1), and connecting wires (12) are mounted at the bottom of the meter body (1); and the intelligent working system comprises: an intelligent processor, an electricity quantity calculation module, an electricity fee calculation module, a display module, an information transmission module, an alarm module and a security module. By means of the information transmission module, calculated electricity consumption information and electricity fee information are instantly transmitted to a power supply department by means of a transmitting device via a data network.

The invention provides a new energy automobile charging control method and system based on an NFC label in the technical field of new energy automobile charging control, and the method comprises the steps: S1, a server carries out the registration operation of a mobile terminal, encrypts a distributed user ID into an encrypted ID, and transmits the encrypted ID to the mobile terminal; s2, the mobile terminal decrypts the encrypted ID to obtain the user ID; s3, the mobile terminal executes a login operation, and generates a dynamic key based on the user ID; s4, when the mobile terminal is close to the charging pile, the NFC chip of the mobile terminal reads the tag ID stored in the NFC tag of the charging pile, encrypts the tag ID, the dynamic key and the login information into authentication ciphertext information, and uploads the authentication ciphertext information to the server; and S5, the server decrypts the authentication ciphertext information to obtain the tag ID, the dynamic key and the login information to execute identity authentication operation, and sends a charging starting instruction based on the tag ID after the authentication is passed. The method has the advantages that the safety and the operation convenience of charging control of the new energy automobile are greatly improved.

The invention relates to the technical field of intelligent water affair management, in particular to a remote automatic meter reading method and system of an intelligent water meter, which effectively overcomes the limitation of single monitoring by introducing a dual monitoring mechanism of a first monitoring device and a second monitoring device and combining data fluctuation quantity analysis, data consistency comparison and weighted fusion calculation. By constructing a neighborhood data set and analyzing respective data fluctuation quantity, the system can identify the instability of first monitoring data and possible inconsistency between data of two devices, determine similarity characteristic values according to the data fluctuation quantity and the data consistency, and perform weighted fusion on the two monitoring data on the basis of the similarity characteristic values, so as to obtain a fusion result of the two monitoring data. According to the method and the system, the weights of different data sources can be dynamically adjusted by the system, so that the corrected and more accurate meter reading data can be obtained even in a complicated and changeable water flow environment, the accuracy and the reliability of the meter reading data are improved, and potential water consumption abnormity can be found in time.

The invention provides a vehicle scheduling method and system based on a parking and charging integrated stereo garage. The method comprises the steps of obtaining real-time vehicle information and historical charging records of a to-be-charged vehicle; the real-time vehicle information comprises the residual electric quantity, the predicted driving distance, the predicted external power consumption and the predicted charging time; constructing a fuzzy evaluation model based on the vehicle information and the charging mode, and inputting the real-time vehicle information into the fuzzy evaluation model to obtain a preliminary charging mode; searching a historical similar scene based on the real-time vehicle information, and calling a historical charging mode to correct the initial charging mode to obtain a corrected charging mode; the driver preference and the time-of-use electricity price are obtained, and the charging duration is optimized based on multi-target linear programming; and calculating a comprehensive score based on the corrected charging mode, determining a charging sequence according to the score, and scheduling the vehicle for charging. The charging mode is corrected through fuzzy evaluation in combination with historical data, the duration is optimized through double-layer planning, the charging rationality and resource efficiency are improved, the cost is reduced, and the parking charging problem is relieved.

The invention provides a charging pile upgrading method and system in the technical field of charging pile management, and the method comprises the steps: S1, carrying out the real-time network monitoring of a charging pile APP installed at a mobile terminal or a vehicle, and automatically downloading and storing a newest firmware package from a server when the current wifi connection is monitored; s2, verifying a local firmware version after the offline charging pile is wirelessly connected with the mobile terminal or the vehicle; s3, the charging pile obtains the firmware package from the mobile terminal or the vehicle, verifies the firmware package, and then shares the firmware package to all the charging piles in the same network through the local area network; s4, presetting an idle upgrading mechanism by the charging pile, and installing the firmware package based on the idle upgrading mechanism so as to execute upgrading operation; and S5, performing function verification after the charging pile is upgraded, and automatically executing a version rollback operation when a function abnormality occurs. The charging pile upgrading method has the advantage that the charging pile upgrading convenience and efficiency are greatly improved.

The invention relates to the field of new energy automobile power supply, and provides a charging operation method based on a vehicle identification code, and the method comprises the steps: obtaining a vehicle identification code VIN and a license plate number inputted by a user, building a binding relation between a vehicle corresponding to the VIN and an operation platform, taking the bound VIN as a user pre-stored VIN, and storing the VIN in a database of the operation platform; the operation platform generates a dynamic charging control instruction and issues the dynamic charging control instruction to the target charging pile based on the real-time power grid load data, the user charging demand and the vehicle battery parameter corresponding to the user pre-stored VIN; when the target charging pile executes the control instruction, battery state parameters and charging pile operation data of a vehicle BMS are collected in real time; the battery state parameters and the charging pile operation data are associated with a user pre-stored VIN, and charging parameters are dynamically adjusted through multi-dimensional data fusion analysis; after charging is completed, generating an encrypted settlement message based on a charging record associated with the VIN pre-stored by the user; and carrying out on-chain evidence storage on the encrypted settlement message through a block chain technology to complete expense settlement.

A method for charging an electric vehicle is performed at an electric vehicle charging station. The method includes determining that, a vehicle is occupying a bay of an electric vehicle charging station. The method further includes, identifying a user associated with the vehicle; allotting a charging parameter threshold for charging the vehicle and determining that the user is located within a predefined geographic area. The method includes, when the user is located within the predefined geographic area, increasing the charging parameter threshold from a first charging parameter threshold value to a second charging parameter threshold value.

The invention provides a turbine flowmeter precision control method and device which are applied to the technical field of flow measurement, temperature data acquisition is triggered by sensing the temperature change rate of an agricultural irrigation environment, and correction parameters are acquired from corresponding relation data between pre-stored temperature and correction parameters based on the temperature data. And then the original flow data are corrected, and finally the corrected data are used for water metering and valve control. Therefore, a complete temperature self-adaptive precision control process is formed, and the problem that the measurement precision of the turbine flowmeter is reduced due to temperature change is solved. The method has the advantages that errors caused by temperature changes to the turbine flowmeter are compensated through calculation of correction parameters, so that the flow metering precision is improved, and the water consumption management accuracy is improved.

Various exemplary devices, systems, and methods relating to a payment management system for an electric vehicle (EV) charging station are provided. In general, an EV charging station controller is configured to control an operation of the EV charging station and initiate an EV charging transaction upon receiving an indication of approval of payment for delivery of electrical charge from the EV charging station using a credit card or a debit card via a point-of-sale (POS) terminal. In another embodiment, the EV charging station controller is configured to initiate an EV charging transaction upon receiving an indication of approval of payment for delivery of electrical charge from the EV charging station using a loyalty card via the POS terminal. The loyalty card can be associated with customer payment information locally stored in a database of the EV charging station.

A marketplace platform for sharing resources for vehicle parking spaces comprises a back-office server having a controller adapted to operate a plurality of integrated systems and a wireless communication module communicating with the controller, wherein the marketplace platform for sharing resources is adapted to receive, via the wireless communication module, a request from a user, collect, via the wireless communication module, data relating to available registered parking spaces from a network database of registered parking spaces, and provide the user with a response containing a subset of registered parking spaces.

The invention relates to an automatic charging method for an electric vehicle. The method comprises the following steps that the position of a charging socket is obtained through an automatic charging device arranged on the side face of a parking space; the position of the charging plug is adjusted so that the charging plug can be aligned with a charging socket on the electric vehicle; the charging plug is driven to be inserted into the charging socket through the telescopic device; acquiring the state of the lock hook to judge whether the charging plug is inserted into a set position, if the charging plug is inserted into the set position, starting charging, otherwise, reinserting or alarming; when charging is completed, the unlocking device is started to enable the lock hook of the charging plug to be separated from the lock catch of the charging socket. And the charging plug is driven to be pulled out and retracted to the plugging device. According to the method, the position of the charging socket is obtained through the fixedly-arranged automatic charging device, then the charging plug is driven to be inserted into the charging socket through stretching out and drawing back, power supply and pulling out are controlled by obtaining the state of the lock hook, the overall control method is simple, related equipment is low in cost, and the occupied space is small.