254 results about "Computer appliance" patented technology

The invention provides a robust optimization method and system for a flexible power distribution network, computer equipment and a storage medium, and belongs to the field of power grid planning, and the method comprises the steps: obtaining a network topology structure and line electrical parameters of a to-be-optimized flexible power distribution network, and constructing a line model corresponding to the to-be-optimized flexible power distribution network according to the network topology structure and the line electrical parameters; acquiring historical operation data of each node in the line model; performing clustering analysis on the historical operation data of each node based on a fuzzy C-means clustering algorithm to obtain a typical scene of the to-be-optimized flexible power distribution network; constructing a polyhedral uncertainty set according to the typical model; taking the limited extreme scene as input, and minimizing the operation cost as an optimization target to construct a main problem; and taking a decision scheme for solving the main problem and the polyhedral uncertainty set as input, taking a scene with the maximum search operation cost as a target to construct a sub-problem, and iterating to obtain a robust optimization result of the to-be-optimized flexible power distribution network. According to the method, reliable optimization of the flexible power distribution network in a real uncertain environment is realized.

The invention discloses a GPU resource scheduling method based on data awareness and computer equipment, and the method comprises the steps: carrying out the real-time monitoring of a cluster node, obtaining a current cluster load state, and predicting the cluster load state in a future time period; creating services according to an input service definition description file, adding the services into a to-be-scheduled service queue, periodically selecting the services from the to-be-scheduled queue, and allocating computing nodes for the services; distributing a target service for the user request according to the current cluster load state, establishing a session, and analyzing the intention of the user; dynamically adjusting and allocating static resources through deep reinforcement learning based on a hybrid expert model according to a user intention analysis result and a cluster load state; required resources are loaded to a GPU through a multi-level cache architecture, and after calculation is completed, a calculation result is returned to a user through a session. According to the method, the utilization rate and the performance of GPU resources in an interactive GPU acceleration service scene can be improved, and the energy consumption and the cost are reduced.

The application relates to the technical field of communication, and provides an Activity component calling processing method and system, a computer device and a storage medium, which comprise the following steps: establishing a communication connection with a calling party and constructing a cross-process connection with a preset proxy Activity component; receiving intention information input by the calling party, sending the intention information to the proxy Activity component through the cross-process connection, and enabling the proxy Activity component to call a target Activity component corresponding to the intention information to process the intention information and obtain a return result; receiving the return result sent by the proxy Activity component, and returning the return result to the calling party. The application realizes cross-process calling of the Activity component, expands the range of target Activity components that can be called by the calling party, reduces the complexity of the calling party code, improves the logic of the calling party, ensures that the calling party can efficiently obtain data from the target component, and is beneficial to maintenance and function testing of the calling party.

The embodiment of the utility model provides a multi-path interconnection system and computer equipment, the multi-path interconnection system comprises a plurality of computing acceleration entities, the computing acceleration entities are standardized entity units at least used for integrating computing units, the computing acceleration entities comprise the computing units, and the computing units are connected with the computing acceleration entities. The computing unit comprises a plurality of first ports supporting a memory interconnection bus; a plurality of interface switching chips, each interface switching chip comprises a plurality of second ports, and the second ports are matched with the first ports; the connection channel is connected with the first port of the calculation acceleration entity and the second port of the interface switching chip; wherein any computing acceleration entity is provided with a plurality of connecting channels which are respectively connected with the plurality of interface switching chips. According to the multi-path interconnection system provided by the embodiment of the invention, the interconnection requirement among a plurality of computing units can be met.

This application relates to a domain name resolution method, apparatus, computer device, storage medium, and computer program product. The method includes: in response to a domain name resolution request for a target domain name, determining the target load type corresponding to the target domain name; determining a target node identifier array corresponding to the target load type from a node identifier array corresponding to each load type; wherein, in the target node identifier array, the number of node identifiers corresponding to each service node is positively correlated with the weight of each service node for the target load type; the weight of each service node for the target load type is obtained based on the load information of the service node for the target load type; determining the target node identifier in the target node identifier array according to a pre-stored node identifier determination strategy, and generating a response message corresponding to the domain name resolution request based on the Internet Protocol address corresponding to the target node identifier. This method can achieve a relatively balanced load pressure on each service node.

The invention provides a control method of a panel satellite large-size flexible solar wing driving device. The driving device comprises a satellite body, a double-shaft SADA, a swing rod, a hinge, a pressing and releasing mechanism and an ROSA solar wing. The control method comprises the steps that a release signal is sent to the pressing and releasing mechanism, the pressing and releasing mechanism releases the pressed solar wing after receiving the release signal, and the solar wing is driven by a hinge at one end of a swing rod to be passively unfolded by a first angle; according to the target angle and the first angle, calculating a second angle that the double-shaft SADA needs to rotate; a rotation signal is sent to the double-shaft SADA, the double-shaft SADA drives the solar wing to continue to rotate by a second angle after receiving the rotation signal, and a rotation in-place signal is sent out; and an unfolding signal is sent to the solar wing, and the solar wing starts to unfold the cell array plane until the cell array plane is completely unfolded. The control method improves the energy utilization efficiency of the whole satellite platform.

A method for supervised training of a machine learning model is described. Furthermore, a method for determining the armature position of an electrical actuator is described. A method for controlling an electrical actuator is also described. A computer device (2) configured to execute such a training method is described. A control device (4) configured to execute such a method for determining the armature position and such a method for controlling the actuator is also described. Finally, a vehicle (6) equipped with such a control device (4) is described.

The application relates to a reference value determination method and device of electrocardio data, a computer device, a storage medium and a computer program product. The method comprises the following steps: obtaining target electrocardio data collected in a collection time period, the target electrocardio data containing a plurality of heartbeat data units, each heartbeat data unit being composed of a plurality of heartbeat data segments. A heartbeat data segment to be detected is determined from the plurality of heartbeat data segments, and a target parameter matched with the heartbeat data segment to be detected is determined. A calculation mode of a reference value is determined, and a target test mode corresponding to the calculation mode is determined from a plurality of preset test modes; wherein the calculation mode comprises at least one of an automatic calculation mode and a manual calculation mode. The reference value of the target electrocardio data under the target parameter is calculated based on the target test mode. In this way, the accuracy of the reference value of the electrocardio data is greatly improved.

Renewable Energy Forecasting Computer Device

This application relates to the field of computer technology, specifically to a method, apparatus, computer device, and storage medium for running an open-source engine. The method for running the open-source engine is applied to a hardware extension plugin system for an inference engine. The hardware extension system includes at least an inference engine module and a hardware extension plugin module. The method includes: determining whether the current hardware is configured with all target operators required for inference computation of the model to be computed; if missing, determining whether the inference engine interfaced with the current hardware is configured with missing hardware operators; if the inference engine interfaced with the current hardware is not configured with missing hardware operators, calling the missing hardware operators from a pre-configured CPU operator library in the CPU through the hardware extension plugin system; and registering all target operators to the inference engine and / or the current hardware. This provides a secure, reliable method for third-party hardware to access an open-source engine with complete evolvability.

The invention discloses a negative electrode lithium supplement utilization rate determination method, a determination system and computer equipment. The method comprises the following steps: S1, obtaining a theoretical lithium supplement thickness H theory required for realizing a battery target; s2, obtaining the effective lithium supplement thickness H < effective > of the lithium supplement negative pole piece and the corresponding lithium supplement utilization rate eta; s3, the experience lithium supplement utilization rate eta'is obtained; s4, calculating target lithium supplement thickness H production according to the theoretical lithium supplement thickness H theory and the experience lithium supplement utilization rate eta '; s5, in the production process according to the actual H, sampling is conducted regularly, the step S2 is executed, the current utilization rate eta < current > is obtained, and the current utilization rate eta < current > is compared with eta 'to obtain a correction coefficient K; and when the K value continuously deviates from the preset range, triggering process adjustment, and selectively feeding the eta back to the step S3 to update the lithium supplementing process. According to the method, a complex electrochemical design problem is converted into executable engineering parameters, the actual lithium supplementing amount can be dynamically adjusted, and a closed-loop control system of'calculation-implementation-evaluation-feedback 'is formed, so that the lithium supplementing precision is continuously improved, battery performance degradation caused by lithium supplementing deviation is fundamentally avoided, and the lithium supplementing efficiency is improved. And the reliability and the service life of a battery product are enhanced.

A request processing method, executed by a load balancing node in a request processing system, wherein the request processing system comprises a reverse proxy node, a virtual proxy node, and the load balancing node, and request forwarding is performed between the reverse proxy node and the virtual proxy node by means of a plurality of socket nodes. The method comprises: upon receipt of a plurality of traffic requests by the reverse proxy node, determining, from among the plurality of socket nodes, socket nodes available for processing (302); for each socket node available for processing, determining, from the virtual proxy node, a processing instance having a binding relationship with the socket node available for processing, so as to obtain a plurality of processing instances (304); determining, from among the plurality of processing instances, selected processing instances matching socket nodes available for processing (306); and on the basis of multiple pieces of instance running information respectively corresponding to the selected processing instances, respectively distributing the plurality of traffic requests to the selected processing instances, so that the selected processing instances process the distributed traffic requests (308).

The application provides a fault information sending method, device and vehicle, and belongs to the technical field of electronics. The method comprises the following steps: in the case that a diagnosis function is started, the instrument device determines fault information of at least one component in the vehicle based on a first data protocol, determines to-be-encapsulated information according to a second data protocol and the fault information, encapsulates the to-be-encapsulated information based on the first data protocol and the second data protocol, and sends the encapsulated information to the wireless device, wherein the fault information is used for indicating a fault type of the component; the wireless device analyzes the encapsulated information based on the first data protocol, and sends to-be-sent information obtained by analysis to a target computer device based on the second data protocol, and the target computer device is used for analyzing, storing and displaying the to-be-sent information. The application can provide effective display assistance for users and output fault information of an electric vehicle in a wireless mode.

This application relates to a cloud-native resource description framework (RPF) data storage system, method, and computer device. The system includes: a storage layer for storing triples sharing the same attribute in RPF graph data as a subgraph and storing them in cloud object storage, constructing a range-aware offset index for each subgraph; and a computation layer for receiving RPF queries, decomposing the RPF queries into multiple subqueries according to attributes, querying the range-aware offset index, obtaining the byte offset of the target data value in each subquery in the corresponding subgraph, and, based on a query processing efficiency model, determining a target access method for each subquery from multiple preset data access methods according to the byte offset, executing the target access method to output the subquery result, and concatenating the results of each subquery to generate the query answer. Using this system can significantly reduce storage and query operating costs while maintaining competitive query performance.

Embodiments of the present disclosure provide a positioning method and device of a backscattering device, computer device, readable storage medium and program, and relate to the technical field of computer communication. The method comprises: receiving a mixed signal, wherein the mixed signal comprises a direct signal and a reflected signal; obtaining a first incident estimation angle of the direct signal and a second incident estimation angle of the reflected signal; obtaining a direct estimation signal and a reflected estimation signal according to the first incident estimation angle and the second incident estimation angle; obtaining a reflected link delay according to the direct estimation signal and the reflected estimation signal; obtaining a reflected link length according to the reflected link delay; and obtaining coordinates of the backscattering device by an elliptic formula algorithm according to a radio frequency source coordinate, a receiver coordinate, the reflected link length, the first incident estimation angle and the second incident estimation angle. The method provided by the embodiments of the present disclosure can realize positioning of the backscattering device.

This application relates to a vehicle centering control method, apparatus, computer device, storage medium, and computer program product. The method includes: first, acquiring initial influence parameters; then, conducting orthogonal experiments based on the initial influence parameters; determining a target evaluation index based on the experimental results of the orthogonal experiments; the target evaluation index characterizing the degree of influence of the initial influence parameters on vehicle centering; next, determining a first target influence parameter from the initial influence parameters based on the target evaluation index; and finally, controlling vehicle centering based on the first target influence parameter. The method provided in this application determines the degree of influence of different initial influence parameters on vehicle centering based on the results of orthogonal experiments, thereby selecting a first target influence parameter that significantly affects vehicle centering, thus improving the accuracy of vehicle centering control.

This application discloses a service device invocation method, apparatus, computer device, and storage medium. Belonging to the field of communication technology, the method specifically includes: responding to a first service request sent by a calling terminal; obtaining device information of a target service device based on the terminal location information of the calling terminal in the first service request; wherein the device information includes at least the number of terminals currently invoking the target service device; determining the associated media gateway of the target service device based on the number of terminals; and invoking the target service device to provide the media stream corresponding to the first service request based on the associated media gateway. Because this application only requires the number of terminals to meet a preset requirement to invoke the target service device, it effectively solves the problem that traditional target service devices can only be invoked by one user. The method based on this application enables multiple users to simultaneously invoke the same service device, effectively improving resource utilization and facilitating the promotion of multimedia services.

The application relates to the technical field of artificial intelligence, and discloses a data processing method, device, equipment and storage medium to improve blacklist processing capability. The method part comprises the following steps: receiving a loan approval request sent by a target business system, the loan approval request carrying loan approval data, the loan approval data comprising a system type of the target business system and attribute information of an applicant; calling a blacklist interface corresponding to the system type to obtain a system blacklist; judging whether the applicant is a user in the system blacklist according to the attribute information of the applicant; when the applicant is not a user in the system blacklist, a platform blacklist of an automatic approval platform is called; judging whether the applicant is a user in the platform blacklist according to the attribute information of the applicant; when the applicant is a user in the platform blacklist, a loan service corresponding to the loan approval request is rejected, and rejection result information is generated and fed back to the target business system.

The invention relates to the technical field of communication, and provides a data transmission method, computer equipment and a computer readable storage medium. The method comprises the following steps: after a Bluetooth connection completion event with upper control equipment is detected, sending a maximum transmission unit negotiation request to the upper control equipment; determining a first negotiation result according to the maximum transmission unit response returned by the upper control equipment, and determining a target maximum transmission unit of the Bluetooth connection according to the first negotiation result; then, a link layer data length negotiation request is sent to the upper control equipment; determining a second negotiation result according to a link layer data length response returned by the upper control equipment, and determining a target link layer data length of the Bluetooth connection according to the second negotiation result; and according to the target maximum transmission unit and the target link layer data length, performing operation data transmission with the upper control equipment based on Bluetooth connection. According to the invention, the operation data can be normally transmitted between the self-operation equipment and the upper control equipment based on the Bluetooth connection.

This application relates to the field of household appliance technology, specifically to a washing control method, system, computer device, and storage medium based on multi-source fusion sensing. The method includes: during the washing stage, determining washing state parameters of the clothes in the tub and water quality change parameters of the washing water based on acquired spatial detection signals and water quality detection signals, respectively; dynamically adjusting the washing control parameters of the washing equipment based on the washing state parameters and the water quality change parameters until washing is complete; during the rinsing or spin-drying stage, acquiring real-time operating parameters of the washing equipment's drive motor; if the real-time operating parameters meet preset operating conditions, switching to a first sensing mode and performing foam state evaluation based on drive load parameters; if the real-time operating parameters do not meet the preset operating conditions, switching to a second sensing mode to perform foam state evaluation based on the spatial detection signals; and controlling the washing equipment to perform rinsing actions based on the foam state evaluation results.

The sewage plant multi-energy utilization robust decision method, device, computer equipment and medium belong to the field of urban sewage plant comprehensive energy utilization and multi-energy complementary optimization. Among them, the method comprises the following steps: constructing a practical application-oriented sewage plant comprehensive energy utilization and multi-energy complementary optimization stochastic multi-criteria decision analysis framework for the robust decision of sewage plant comprehensive energy utilization and multi-energy complementary optimization under uncertain conditions; using game theory to aggregate and resolve the weight of each decision standard of sewage plant comprehensive energy utilization and multi-energy complementary optimization, and estimating the uncertainty of each decision standard of sewage plant comprehensive energy utilization and multi-energy complementary optimization; constructing a sewage plant comprehensive energy utilization and multi-energy complementary optimization stochastic multi-criteria decision acceptability analysis-gray correlation analysis model to quantitatively evaluate the uncertainty and decision-making risk of sewage plant comprehensive energy utilization and multi-energy complementary optimization multi-criteria decision; using significance analysis method to determine the influence of input parameter uncertainty of each decision standard of sewage plant comprehensive energy utilization and multi-energy complementary optimization on the decision scheme of sewage plant comprehensive energy utilization and multi-energy complementary optimization.

The present application belongs to the technical field of fuel cell, and particularly relates to a fuel cell system, a scheduling optimization method thereof and a computer device. The method comprises the following steps: finding a backtracking point from a to-be-optimized load point; adding fuel cells in a can-run queue of the to-be-optimized load point to a must-run queue of the to-be-optimized load point, so as to find a maximum must-run queue of the to-be-optimized load point which can make the fuel cell system run from the to-be-optimized load point to the backtracking point without causing fuel cell shutdown, take the maximum must-run queue as an optimized must-run queue of the to-be-optimized load point, and accordingly obtain an optimized can-run queue of the to-be-optimized load point. The fuel cell can be started as early as possible and as much as possible, and after starting, the fuel cell can try to avoid shutdown as much as possible; the power change of the fuel cell system is more smooth, and the service life and operation efficiency of the fuel cell are improved.

The application relates to a transformer winding and sleeve inter-circuit connection state recognition method and device, computer equipment, a computer readable storage medium and a computer program product, and relates to the technical field of power systems, and can improve the recognition accuracy of the transformer winding and sleeve inter-circuit connection state. The method comprises the following steps: acquiring a vibration frequency spectrum corresponding to a vibration signal in a preset range of a current-carrying circuit between a transformer winding and a sleeve; determining a plurality of actual center frequencies corresponding to the vibration frequency of the transformer in the vibration frequency spectrum; searching for symmetrical frequencies in a preset search range of each actual center frequency; acquiring a first vibration power of each group of symmetrical frequencies and a second vibration power of the vibration frequency spectrum, and obtaining a vibration power ratio according to the ratio of the first vibration power and the second vibration power; and determining a connection state recognition result of the current-carrying circuit between the transformer winding and the sleeve according to the vibration power ratio.

The embodiment of the invention discloses a path planning method, computer equipment and a computer readable storage medium. The method comprises the following steps that task information and state information of a storage robot are obtained; inputting the task information and the state information into a path planning model to obtain a path planning result; the path planning model comprises a global planning layer and a local optimization layer, the global planning layer is used for generating a global optimal path, and the local optimization layer is used for locally optimizing the global optimal path to output a path planning result; and controlling the storage robot to execute tasks according to the path planning result. Therefore, the task information and the state information of the storage robot can be input into the path planning model, the path planning is completed through the hybrid algorithm and the cooperative work of the global planning layer and the local optimization layer, the accuracy and the adaptability of path generation are improved, and the path planning efficiency is improved. The problem of low efficiency caused by traditional single-level planning is effectively avoided.

The embodiment of the invention relates to the technical field of data processing, in particular to a data caching method, a plug-in caching system, computer equipment and a storage medium. The method is applied to a proxy layer of the plug-in cache system, the proxy layer comprises a serialization layer and a routing layer, the serialization layer comprises a plurality of preset serialization protocol plug-ins, and the routing layer comprises a plurality of preset routing algorithm plug-ins. The data caching method comprises the following steps: receiving a caching operation request from a client; determining a target serialization plug-in from the plurality of serialization protocol plug-ins, and determining a target routing algorithm plug-in from the plurality of routing algorithm plug-ins; standardizing the cache operation request according to the target serialization protocol plug-in to obtain a standardized request; determining a target cache instance corresponding to the standardized request according to the target routing algorithm plug-in; and sending the standardized request to the target cache instance. By adopting the method, the development cost can be reduced, and the development period can be shortened.

A computer device comprises one or more processors, and one or more computer-readable media storing instructions that cause the computing device to perform operations, when executed by the one or more processors. The operations comprise generating basic data by deriving a main compound associated with each odor type from among compounds included in each of a plurality of gas samples, generating learning data by expanding a type of the main compound associated with each odor type using a similarity between the plurality of gas samples and a similarity between the compounds, learning an odor prediction model using the learning data, and predicting quality of an odor of an analysis target using the learned odor prediction model.

The present application relates to an energy island system, a control method, a computer device and a storage medium. The system comprises a power generation module, a heat exchange module, a compression and expansion module, a cold storage / release module, and a heat storage / release module, wherein the power generation module utilizes ocean thermal energy for power generation; the compression and expansion module is electrically connected to the power generation module, and is connected to the heat exchange module by means of a pipeline, so as to compress and / or expand a heat exchange circulating working medium, which circulates in pipelines of the compression and expansion module and the power generation module; the heat exchange module is connected to the power generation module, the cold storage / release module and the heat storage / release module by means of pipelines; the cold storage / release module stores surplus generated power in the form of cold energy during off-peak power consumption periods, and releases the cold energy during peak power consumption periods; and the heat storage / release module stores surplus generated power in the form of thermal energy during off-peak power consumption periods, and releases the thermal energy during peak power consumption periods. The energy island system of the present application utilizes stable and abundant ocean thermal energy for power generation, thereby enabling long-term and energy-efficient continuous operation.

A system for implementing a vehicle bus virtual channel, comprising: a computer device, configured to execute client processes and a service end process; wherein, the client processes are configured to send a registration request data packet to the service end process, send a heartbeat packet to the service end process at a particular time interval, and send a vehicle bus packet to the service end process; the service end process is configured to: receive the registration request data packet, the heartbeat packet, and the vehicle bus packet from a client process, set a timestamp of the vehicle bus packet and send the vehicle bus packet back to the client process while modifying a direction attribute of the vehicle bus packet to sending; at the same time, send the vehicle bus packet to other client processes and modify the direction attribute of the vehicle bus packet to receiving.

The invention relates to a multi-product engineering construction method, an engineering construction system and computer equipment, which are applied to a first construction end, and the method comprises the following steps: carrying out simulation construction on a target engineering; analyzing output information generated in the simulation construction process to obtain an incidence relation among input resources, construction actions and construction products when the target project is constructed; converting the incidence relation into a description file for constructing the target project; and transmitting the description file to a second construction end, so that the second construction end constructs the target project based on the description file. By adopting the method, the engineering construction reliability can be improved.

The application discloses a terminal positioning method and device, a nonvolatile storage medium and a computer device. The method comprises the following steps: acquiring distance measurement values of multiple base stations, measurement variances corresponding to the distance measurement values of the multiple base stations and base station positions of the multiple base stations, wherein the distance measurement values are obtained by measuring distances between the multiple base stations and a terminal by using a line-of-sight distance measurement method; and determining a terminal position of the terminal by using an approximate maximum likelihood time difference of arrival algorithm according to the base station positions, the distance measurement values and the measurement variances. The application solves the technical problem of reducing the positioning accuracy of the terminal due to the non-line-of-sight effect in a scene.