337 results about "Command response" patented technology

The invention provides a crane remote instruction response delay detection and in-advance compensation method and system, and relates to the technical field of cranes, and the crane remote instruction response delay detection and in-advance compensation method comprises the following steps: adopting an adaptive space-time alignment algorithm to map real-time operation data to a dynamic knowledge graph, and generating a feature vector; inputting the feature vector into a depth map neural network integrated with a causal reasoning mechanism to generate an incidence matrix; a multi-head attention network with a residual structure is adopted to extract time sequence features; constructing a hybrid decision system based on the delay prediction tensor, and outputting an optimal compensation strategy; and establishing a double-closed-loop evolution system with an online learning capability, and dynamically optimizing a prediction and compensation strategy according to a compensation effect. Through the dynamic knowledge graph, causal reasoning, the multi-head attention network and the double-closed-loop evolution system, the remote instruction response delay can be accurately predicted, effective compensation is carried out, and the real-time performance and safety of remote control of the crane are improved.

The embodiment of the invention provides a method for efficiently utilizing a cache unit for caching PRP in storage equipment, and relates to the technical field of storage equipment. The method comprises the following steps: in response to a received IO command, obtaining address positioning information indicated by the IO command, and adding the address positioning information to an allocated cache unit; if the IO command is an NVMe write command, a DMA command is generated in response to address positioning information indicated by the NVMe write command, and a cache unit occupied by the address positioning information indicated by the NVMe write command is released; and if the IO command is an NVMe read command, releasing the cache unit occupied by the address positioning information indicated by the storage command processing completion message in response to the fact that the number of times that the address positioning information indicated by the storage command processing completion message is used is equal to the expected number of times. According to the method, the cache unit occupied by the address positioning information can be released in time, enough space is provided for caching subsequent address positioning information, and the cache utilization rate is increased.

A production control system for a hydrogen storage tank includes: an operating unit, a design terminal, and a processor. The processor may be communicatively connected to the operating unit and the design terminal, respectively. The design terminal may be configured to operate a finite element simulation command stored in a storage unit. The processor may be configured to obtain the target laying parameter from the design terminal, generate an operation command based on the target laying parameter, send the operation command to the winding mechanism; and determine whether to generate an optimization command. In response to a determination of generating the optimization command, the optimization command may be generating and sent to at least one of the operating unit, the monitoring unit, and the design terminal.

A system and method are provided for handling errors when prompting large language models (LLMs). The method includes parsing an indication of a first error to determine corrective information for remedying the first error. The first error is responsive to a command generated by an LLM responsive to prompting the LLM with a first input. The method also includes providing the corrective information causing prompting of the LLM with a second input.

The invention discloses a protocol converter giving consideration to group regulation and control and local regulation and control, and the converter comprises an archive configuration module which configures the archive information of all photovoltaic inverters and protocol converters of a photovoltaic equipment grid-connected point; the command response module responds to the data request and the regulation and control command of the photovoltaic management system; the acquisition module is used for acquiring telemetry data of all equipment at a grid-connected point and calculating total active power and total reactive power output by all inverters at the grid-connected point and adjusting capability of all the inverters; the local strategy generation module is used for generating a local voltage regulation and control strategy according to the current voltage state; and the command generation module is used for generating command judgment and regulation and control instructions. According to the invention, group regulation and group control can be satisfied, local regulation and control can be carried out, and the problem that a photovoltaic management system cannot effectively monitor photovoltaic inverter equipment due to carrier communication defects can be effectively solved.

The invention discloses a micro-grid layered stability control method and system, and relates to the technical field of micro-grid control. Periodic data and instruction signals of upper and lower layer control links of a micro-grid are collected, and reverse adjustment delay amount and an idle stroke deviation value during period switching are calculated; processing to obtain a period difference index and a collaborative adaptation index containing an impact coefficient; analyzing a time sequence action relationship between the period difference index and a micro-grid adjusting link, and calculating a connection deviation coefficient of a control rhythm by counting lagging frequency and amplitude of instruction response; potential problems of a micro-grid control link can be found in advance, stable operation time is prolonged through strategy adjustment when the instability risk is low, maintenance is conducted in time before the risk rises, power failure accidents caused by layered control mismatch are reduced, and the operation stability and reliability of the micro-grid are improved especially for the micro-grid with the high new energy proportion and large fluctuation.

The invention relates to a control instruction response method and device, a robot and a storage medium. The method comprises the steps of collecting an audio signal when a preset triggering condition is met; performing semantic recognition processing on the audio signal to obtain corresponding text information; the text information is judged through a pre-established large language model agent, a response mode is determined, and the response mode comprises action execution and / or question answering; rehearsing the response mode based on the constructed robot model, and evaluating a rehearsing result of the response mode through a large language model agent to obtain a corresponding evaluation result; and when the evaluation result meets the requirement, controlling the robot to broadcast a question answer generated by the robot model during rehearsal, and / or execute an action sequence generated by the robot model during rehearsal. Therefore, the response mode can be adaptively determined according to the text content corresponding to the audio signal, so that the response mode is more diversified, the response feedback is more intelligent, and the interaction experience is improved.

A method of operating a memory device including a memory cell array and a memory circuit includes receiving a first command from a controller, determining, in response to the first command, whether first device information stored in the memory circuit has an error, receiving, in response to the determining that the first device information has the error, a reset command from the controller, and performing a refresh operation on the memory circuit in response to the reset command. The first device information includes information about an operation parameter and an operating frequency of the memory device.

A motor fault prediction method for an HT80 general turbine controller comprises the steps that pressure signals of an inlet and an outlet of a hydraulic servo valve are obtained, and impulse response decomposition and time domain envelope analysis are conducted on the pressure signals to extract a microbubble nucleation characteristic spectrum in pressure fluctuation; and based on the microbubble nucleation characteristic spectrum, constructing a mapping relation between the bubble volume fraction and the system equivalent damping coefficient, and smoothing a damping coefficient time sequence through Kalman filtering to obtain a damping coefficient curve. And calling a hydraulic system pulse response model to calculate the instruction response time of the hydraulic servo valve according to the damping coefficient curve, and comparing the instruction response time with the adjustment target to obtain response delay. The lagging threshold curve is determined through experimental simulation calibration, whether the response delay exceeds the safety threshold or not is judged based on the lagging threshold curve so as to trigger an alarm, early warning of the hydraulic response delay trend is achieved, and the problem that millisecond-level rapid adjustment cannot be completed in operation can be avoided.

The invention discloses a multimodal data communication method and system using a Beidou satellite system, and specifically relates to the technical field of data transmission. During the communication process, the method can analyze the influence of delay deviations of satellites in different orbits and environmental factors on signal attenuation, dynamically evaluate the transmission delay degree of satellite signals, and based on the evaluation results, the system divides satellite signals into high-delay and low-delay signals, and adopts multimodal data fusion and signal optimization strategies for high-delay signals, effectively reduces command response errors, and dynamically adjusts communication strategies in combination with signal delay characteristics and command response error data, optimizes data transmission paths, and improves the execution efficiency of rescue missions and the real-time nature of information interaction. The invention breaks through the limitations of traditional satellite communication modes, enhances the stability, flexibility and intelligence of communications, and can effectively improve the overall response capability of emergency rescue missions.

An apparatus, such as an environmental Internet of Things (A-IoT) device, configured to support registration and management in a mobile communication network (e.g., a cellular communication network) is provided. The apparatus receives a query command, sends a first message including at least a mobile network assigned tag identifier or an unregistered tag indicator in response to the query command, and receives a second message including at least a temporary identifier, a reader identifier or an authorized reader list for communication with a network node.

A data processing apparatus spaced apart from a host and configured to process data in a memory in conjunction with the host includes a near-memory processing unit configured to receive a command from the host, compress or decompress the data in response to the command, and manage an entry of the compressed data; and a buffer configured to store the data or the compressed data based on the entry.

A non-terrestrial radio network node may configure user equipment with conditional handover period information and conditional handover configuration information. During establishment of a connection to facilitate delivery of non-terrestrial traffic, the non-terrestrial node may configure a user equipment with an assigned conditional handover profile indication corresponding to the non-terrestrial traffic. Upon determining to suspend delivery of the non-terrestrial traffic during a network energy saving mode, the non-terrestrial node may transmit a conditional handover command, responsive to which the user equipment may determine, based on the assigned conditional handover profile indication and the conditional handover configuration information, a target terrestrial radio network node and may transmit a connection establishment request thereto. Responsive to a connection transfer request transmitted by the target terrestrial node, the non-terrestrial node may transmit session context information corresponding to the non-terrestrial traffic that the target node may use to facilitate delivery thereof during the conditional handover period.

A vehicular multi-location synergic remote calibration method and system is provided. The vehicular multi-location synergic remote calibration system includes: a server, configured to store a calibration database and receive and store a calibration signal from a responder; a requester, configured to invoke the calibration signal from the server to read a calibration signal value; and / or, send a calibration signal write command to the server and send to the server a command for reading the written calibration signal; a responder, configured to send the calibration signal to the server, and further configured to receive a written target value from the server and complete vehicular online calibration.

A non-terrestrial radio network node may configure user equipment with conditional handover period information and conditional handover configuration information. During establishment of a connection to facilitate delivery of non-terrestrial traffic, the non-terrestrial node may configure a user equipment with an assigned conditional handover profile indication corresponding to the non-terrestrial traffic. Upon determining to suspend delivery of the non-terrestrial traffic during a network energy saving mode, the non-terrestrial node may transmit a conditional handover command, responsive to which the user equipment may determine, based on the assigned conditional handover profile indication and the conditional handover configuration information, a target terrestrial radio network node and may transmit a connection establishment request thereto. Responsive to a connection transfer request transmitted by the target terrestrial node, the non-terrestrial node may transmit session context information corresponding to the non-terrestrial traffic that the target node may use to facilitate delivery thereof during the conditional handover period.

Embodiments of the present application provide an interaction data transmission method, system and apparatus, a nonvolatile readable storage medium and an electronic device. The method comprises: by means of a specified logic device of a target device, receiving a first interaction command sent by a baseboard management controller of the target device by means of a first communication interface, wherein the first interaction command is used for instructing to send an interaction command of a specified interaction type to a specified acceleration card in a group of acceleration cards of the target device; in response to the first interaction command, querying a pre-stored command data set by means of the specified logic device to obtain target command data, wherein the command data set comprises a group of command data corresponding to each acceleration card in the group of acceleration cards, and the target command data is command data of the specified interaction type corresponding to the specified acceleration card; and by means of the specified logic device, converting the target command data into a second interaction command, and by means of the specified logic device, sending the second interaction command to the specified acceleration card by means of a second communication interface.

A source node from the cluster of nodes, responsive to receiving the file sharing command from other applications on the same node (e.g., on a virtual machine in the cluster of nodes), copies the shared file to a source workspace directory and compress, and then copy the compressed file to the file sync database. The command comprises a configuration template with file retrieval information. A target node from the cluster of nodes, listens for commands from other nodes in the cluster of nodes. Responsive to receiving the file sharing command, the compressed file is copied from the file sync database to a target workspace directory and decompress, and then copy the shared file to node.

The invention relates to the technical field of smart home, in particular to a smart home equipment control method and a smart home system, comprising hardware deployment and network construction, data processing and rule generation, context sensing optimization, energy consumption and health collaboration and virtual-real interaction and maintenance. Compared with the prior art in which the human body detection delay is up to more than two seconds and the security and protection system is completely invalid when the network is disconnected due to the dependence on cloud centralized processing, the scheme has the advantages that the lightweight YOLOv5n model is deployed in the edge computing module, and the TinyML voice wake-up module only occupies 50 KB storage space, so that the human body detection delay is reduced, the voice instruction response time is shortened, and the security and protection system is more reliable. A rule cache pool is built in to store 100 core automation rules such as intrusion alarm and emergency lighting triggering, it is ensured that more than 90% of basic function operation can still be maintained when the network is disconnected, the problems of insufficient real-time performance and network disconnection paralysis caused by cloud dependence in a traditional scheme are thoroughly solved, and the security response efficiency is improved by more than four times.

Example systems and methods for data migration in memory systems are disclosed. One example method includes receiving, by a memory controller of a memory system, a command comprising a first logical address and a second logical address. In response to the command, a correspondence of data to the second logical address is established based on a correspondence of the data to the first logical address. The first logical address is deallocated based on the command.

A method and system quantifies and manages a steering command response delay for an autonomous vehicle. The system enables the method to determine a lag time between issuing a control command and an angle at which the command is implemented for a plurality of predetermined vehicle speeds. For each of a plurality of predetermined vehicle speeds, a predetermined number of lag times is averaged. The average lag time is weighted, wherein a more current lag time has a higher weight than a less current lag time. The average time lag is used to improve the response of the vehicle and detect health issues of the vehicle steering system.

Techniques for determining a command or intent likely to be subsequently invoked by a user of a system are described. A user inputs a command (either via a spoken utterance or textual input) to a system. The system determines content responsive to the command. The system also determines a second command or corresponding intent likely to be invoked by the user subsequent to the previous command. Such determination may involve analyzing pairs of intents, with each pair being associated with a probability that one intent of the pair will be invoked by a user subsequent to a second intent of the pair. The system then outputs first content responsive to the first command and second content soliciting the user as to whether the system to execute the second command.

The invention discloses a driving simulation system and method supporting a manned and unmanned mixed driving test, and relates to the field of driving simulation. The cockpit unit comprises a plurality of steering wheel suites; for any steering wheel suite, the processor unit collects operation instruction information of a driver and determines a driving mode; when the driving mode is manned driving, calculating the pose information of the vehicle at the next moment by adopting a vehicle dynamics model based on the control instruction of the driver; when the driving mode is unmanned driving, calculating the pose information of the vehicle at the next moment according to the control instruction based on an automatic driving algorithm, reversely deducing a vehicle motion deflection angle and a steering wheel rotation angle to generate a control instruction, and feeding back the control instruction to the steering wheel suite; and performing instruction response according to the control instruction. Through the highly integrated and intelligent design, the problems that the application scene is single, algorithm control is not convenient enough, a feedback mechanism is insufficient, and a takeover detection mechanism is imperfect are solved.

The invention discloses a multi-terminal linkage large screen control system and method. The multi-terminal linkage large screen control system comprises a mobile terminal, a server and a Web terminal, the mobile terminal is used for generating a large-screen operation instruction of a user and then sending the large-screen operation instruction to the server through the interface; the server is used for receiving a large-screen operation instruction sent by the mobile terminal, performing related instruction analysis and pushing a result needing to be operated to the Web terminal; and the Web end is used for monitoring a specified command response interface of the server, analyzing a command sent by the server and performing corresponding operation on the large screen. According to the multi-terminal linkage large screen control system and method provided by the invention, remote synchronous control from the mobile terminal to the Web terminal and the large screen terminal is realized, so that large screen control becomes simple and intelligent.

A method includes: receiving, by a computing device of a first vehicle, a command from a host device; in response to receiving the command, storing a new device secret in memory; generating, by the computing device using the new device secret, a triple comprising an identifier, a certificate, and a public key; and sending, by the computing device, the triple to a second vehicle, where the second vehicle is configured to verify an identity of the first vehicle using the triple.

The invention relates to the technical field of tail gate control, in particular to a multi-mode voice control tail gate action management method based on vehicle state recognition, which comprises the following steps of: acquiring an ACC level, a door lock state and a tail gate closing signal, recording an ACC interruption time period, classifying into a static vehicle scene by combining the door lock state and the tail gate state, and performing voice control. And collecting a foot track extraction direction vector and matching a cursor area, extracting a voice frame segment and positioning an overlapping section, selecting a main control channel to access a tail gate interface, and inputting an instruction to a controller to obtain a tail gate execution state identifier. According to the method, a static scene triggering condition is constructed through signal cross recognition, the control judgment precision is improved, the foot action analysis capacity is enhanced through track direction offset matching, dynamic linkage recognition is carried out through voice and track overlapping positioning, the input error-tolerant rate and the anti-interference capacity are improved, and instruction response logic is optimized through channel sequence setting; limiting feedback is combined with displacement path matching, the motion of the tail gate is kept complete, and a high-stability control process is formed.

The invention, which relates to the technical field of the simulation machine pet system, discloses an AI-driven full-perception simulation machine pet system comprising an AI training module, an olfactory perception module, an auditory perception module, a visual perception module, a navigation positioning module, a touch simulation module and a motion control module. The AI training module is used for generating a personalized behavior model through a machine learning algorithm based on the user behavior data and the environment data, and driving a mechanical pet to simulate the learning and growth process of a biological pet; the olfaction sensing module is used for collecting environment gas data through a gas sensor array, and identifying and feeding back a security threat signal to the main control system in combination with the behavior model output by the AI training module; the auditory perception module is used for receiving a sound wave signal through a microphone array and triggering an instruction response action generated by the AI training module after the sound wave signal is analyzed by a voice recognition algorithm; the visual perception module is used for capturing environment image data through a spherical camera.

A servo adjustment method of a motor driving device includes a frequency characteristic measurement step, a rigidity determination step and an index measurement step. In frequency characteristic measurement step, the frequency characteristic of the motor operation amount with respect to the control command is measured. In rigidity determination step, the highest rigidity, which is the maximum candidate value satisfying the predetermined margin among the plurality of candidate values of the rigidity index, is determined based on the frequency characteristic. In index measurement step, the rigidity index and the command response index are combined to measure the evaluation index during the operation by the internal position command based on the command pattern or the external position command from the host device. In the servo adjustment method of the motor driving device, rigidity determination step is executed after frequency characteristic measurement step, and index measurement step is executed after rigidity determination step.

Disclosed herein are system, apparatus, article of manufacture, method and / or computer program product embodiments, and / or combinations and sub-combinations thereof, for an application pre-launch system. An example embodiment operates by detecting a user interaction associated with launching an app configured to operate on a computing device. A first launch command is provided to a server associated with the app. The first launch command is configured to instruct the server to begin loading application data for the app into a cache. Application code of the app is executed, wherein the application code is configured to provide a second launch command to the server. The application data is received from the cache responsive to the second launch command. The app is launched on the computing device using the application data received from the cache. After the launching, the app is configured to receive a user command.

The invention belongs to the technical field of wireless communication, and discloses a dispatching information sending method of a bird repelling command and monitoring system based on millimeter waves, and the dispatching information sending method of the bird repelling command and monitoring system based on the millimeter waves comprises the following specific steps: S1, establishing a millimeter wave communication topological structure and node capability mapping; s2, generating a task priority identifier and a bird repelling demand model; s3, executing channel state sensing and available path prediction; s4, executing beam directional control and path construction; s5, executing a frequency spectrum and time slot joint scheduling strategy; s6, scheduling information packaging and link-level forwarding; and S7, the bird repelling module responds to the instruction and feeds back the instruction. According to the invention, by constructing a task priority driven scheduling mechanism, the problems of scheduling congestion and resource waste caused by task indifference processing in a traditional bird repelling system are effectively solved; by introducing a priority weighting function and a task level mapping mode, the system can dynamically judge a task processing sequence when facing a plurality of concurrent bird repelling tasks.