1119 results about "State switching" patented technology

The present disclosure provides a system for secure compute using artificial intelligence agents. The system includes a hardware execution environment with one or more computerized processors and electronic storage media. The processors are configured to establish a secure agent comprising a secure state management module, an encrypted state transition management module, a threshold cryptography implementation, and a digital signature verification module. The system also includes a plurality of atomic agents, each configured to perform a composite task and comprising a task-specific execution module, a state management interface, and a communication module. An orchestrator agent coordinates secure execution of the atomic agents and includes a task distribution module, a result aggregation module, a workflow management module, and a security policy enforcement module. The orchestrator agent integrates encrypted outputs from the atomic agents to perform composite tasks while maintaining data integrity and security through the secure state management module.

The invention provides an HPLC (High Performance Liquid Chromatography) station area cooperative communication method based on clock synchronization, which comprises the following steps: step 1, multi-dimensional data acquisition and broadcasting: each concentrator periodically acquires clock precision, stability and reliability data, and sends a beacon frame containing a timestamp and a health degree score through a power line carrier broadcasting channel; step 2, dynamically calculating the index distinction degree by using an entropy weight method, adaptively allocating weights, and electing an optimal main CCO in real time; step 3, dual-mode PID cooperative control: the main CCO adopts a dual-mode switching strategy of a dynamic PID algorithm and a chaotic fractional order PID algorithm; 4, monitoring a synchronization state in real time by constructing a clock check network, and optimizing a fault isolation strategy in combination with weighted scoring to realize that the state switching time of the master node and the slave node is less than or equal to 50ms; cooperative communication is realized on the basis of completing synchronization of the concentrators CCO in the whole network. Redundant message transmission is reduced through a dynamic parameter resynchronization mechanism, and the utilization rate of network resources is optimized.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may identify a transmission configuration indicator (TCI) state. The UE may determine that the TCI state is a semi-known TCI-state based at least in part on a known TCI state condition not being satisfied and a TCI state prediction condition being satisfied. The UE may apply a TCI state switching delay timeline that is associated with semi-known TCI states. Numerous other aspects are described.

The invention relates to the technical field of PWM control, and discloses a high-precision PWM dead zone effect compensation method and system. The method comprises the following steps: carrying out differential sampling and signal conditioning on PWM output current to obtain a current sampling value; the driving signal is input into an FPGA state judgment module for state conversion analysis, and switch state information is obtained; performing dead zone characteristic quantity extraction based on the current sampling value and the switch state information to obtain a dead zone effect influence factor; according to the dead zone effect influence factor, compensation coefficient calculation is carried out in a piecewise linear mode, a real-time compensation value and a predicted compensation value are obtained, the real-time compensation value and the predicted compensation value are used for compensating dead zone position voltage drop in a PWM output voltage waveform, the real-time compensation value is used for current period compensation, and the predicted compensation value is used for next period compensation presetting. And high-precision PWM dead zone effect compensation is realized. According to the method, accurate calculation and dynamic prediction of the compensation value are realized, the compensation adaptability is improved, and finer compensation control is realized.

The invention provides an energy storage intelligent monitoring method and system for an industrial and commercial energy storage power station, and relates to the technical field of intelligent monitoring, and the method comprises the steps: determining a current impact characteristic and a voltage fluctuation characteristic of an energy storage unit during the switching of a charging state and a discharging state through an operation record of the energy storage power station; extracting the energy conversion rate of the energy storage unit in the charging and discharging state switching process, and determining the transient energy entropy change of the energy storage unit during state switching in the charging and discharging state switching process according to the energy conversion rate and the current impact characteristics; performing compensation cost constraint on the energy inverse difference of the energy storage unit during charging and discharging state switching through transient energy entropy change and voltage fluctuation characteristics to obtain a state constraint parameter of energy compensation of the energy storage unit during state switching; according to the method and the device, the energy balance of the energy storage power station in the charging and discharging state switching process can be realized, so that the operation stability of the energy storage power station is improved.

The invention provides a method for identifying a power grid frequency signal assessment standard, and the method comprises the steps: constructing a system architecture composed of a master station, a substation and a communication network, and achieving the initialization of equipment through a finite-state machine; the method comprises the following steps: collecting power grid frequency, power generation side frequency difference and communication state multi-dimensional data, processing signals by applying median filtering, a sliding window and an EWMA algorithm, introducing fuzzy logic to evaluate a system state, and dynamically adjusting a response strategy; an improved PID algorithm is adopted to track frequency change, feed-forward compensation and PSO parameter optimization are combined, a hidden Markov model is utilized to predict a communication fault, and local mode switching is triggered in advance; main station, mixing and local three-state switching is carried out according to communication states and load changes, and a frequency modulation dead zone is automatically adjusted according to power grid loads through a dynamic threshold value self-adaptive algorithm; the control effect is verified by using a digital twinning technology; and the safety and reliability of the system are guaranteed by optional quantum encryption and active-active redundancy design. The whole scheme effectively reduces the power loss of power generation enterprises, and maintains the safe and stable operation of a power grid.

The invention provides an edge server dynamic activation method and system based on deep reinforcement learning, and the method comprises the following steps: S1, building system models, including building a network model, an energy consumption model, a communication and service delay model and a state switching cost model, the network model including RES and MES; s2, optimizing a network model by calculating the sum of the cost of the energy consumption model, the communication and service delay model and the state switching cost model; s3, constructing a Markov decision process model, and improving RES stability; s4, predicting a traffic load; s5, calculating a baseline value; s6, training the network model through a centralized intelligent scheduling algorithm CDDS to obtain a trained strategy network model; s7, dividing the trained strategy network model through a federated distributed intelligent scheduling algorithm FDDS, and training the model based on federated learning to obtain a DDPG model; and S8, the DDPG model is deployed to each RES.

The invention discloses an automatic verification device and method for a weighing coal feeder device. The automatic verification device comprises a weight calibration system, a weight verification control system, a sensor calibration system and a weighing coal feeder. According to the invention, the weight of the standard weight most suitable for the current calibration requirement is dynamically calculated and selected through the weight calibration system based on historical data, environmental parameters and the like of the weighing sensor, so that the calibration precision and flexibility are greatly improved, and variable working condition requirements can be met; according to the invention, an automatic weight verification control system is designed, horizontal displacement, lifting adjustment and state switching of the weight are realized, and the calibration process is fully automatic; the output data of the sensor are collected in real time through the sensor calibration system, dynamic correction is carried out in combination with multiple times of weighing error calculation and historical data, drift and error trends of the weighing sensor are analyzed in real time in combination with parameters such as temperature, humidity and vibration, and error correction values are generated, so that the accuracy of weighing data is ensured.

The invention discloses a multifunctional broadband metamaterial structure with a polarization independent characteristic and a control method. The structure has a switchable tri-state function and a complete polarization operation capability irrelevant to polarization. By introducing the guide circuit design, three different electromagnetic energy regulation and control modes of second-order filtering, broadband absorption and multi-reflection shielding are efficiently integrated in the same structure, the real broadband performance in the band is realized, and meanwhile, the higher reflection efficiency outside the band is kept. Different from a traditional method which depends on a broadband lossless reflecting layer to expand the transmission bandwidth of an absorption structure, the three arrays are considered as an integral operating system, support three-state switching operation and have real broadband and efficient behaviors.

The invention discloses a micro-grid intelligent regulation and control method, and relates to the technical field of electric power grids, and the method comprises the steps: carrying out the real-time monitoring of a main power grid of a target region according to an electric power sensing network, and obtaining the monitoring data of the main power grid; obtaining a main power grid fault prediction coefficient; if the main power grid fault prediction coefficient is greater than / equal to the main power grid fault prediction threshold value, activating a microgrid state switching first strategy and a microgrid regulation and control first channel; establishing equipment power supply priority distribution; obtaining a first micro-grid regulation and control scheme; and regulating and controlling the micro-grid based on the micro-grid regulation and control first scheme. The technical problems that in the prior art, the micro-grid cannot be flexibly regulated and controlled according to the state of the main power grid, so that the regulation and control timeliness of the micro-grid is poor, and the regulation and control accuracy of the micro-grid is low are solved, and the technical effects of flexibly regulating and controlling the micro-grid according to the state of the main power grid, improving the regulation and control timeliness and accuracy of the micro-grid and guaranteeing the power supply stability are achieved.

The invention provides an embedded intelligent switch control system based on dual-mode detection, and relates to the technical field of intelligent control, and the system comprises a driving logic program building module which is responsible for configuring an infrared and sound cooperative dual-mode control channel; the main control sensing establishing module is responsible for writing driving logic into a main control chip and is connected with an infrared sensor and a sound sensor; the signal judgment module is responsible for driving the sensor to detect and judge the signal in a staggered manner and generating a switching instruction; and the switch state switching module is responsible for controlling the relay to switch the switch state according to the instruction. The technical problems that in the prior art, a traditional switch control system is high in false triggering rate, high in energy consumption and poor in scene adaptability due to a single triggering mode in a complex environment are solved, and the purposes that the false triggering rate and the energy consumption in the complex environment are reduced by judging a time zone and a flexible calibration mechanism through combination of infrared and sound dual-mode detection are achieved; and the scene adaptability is improved.

The control device comprises a control module, an ice melting power supply module, a boundary switch, a short circuit switch and an ice melting switch, the boundary switch, the short circuit switch, the ice melting switch and a protection switch are arranged on a high-voltage cable, and the control module sequentially drives the boundary switch, the short circuit switch, the ice melting switch and the protection switch to execute state switching through action instructions. The conduction control of the ice melting loop is realized; the control module integrates a finite element algorithm function, collects current, voltage and temperature distribution parameters in an ice melting loop in real time, and dynamically corrects ice melting current parameters through three-dimensional electromagnetic-thermal coupling field simulation; setting a parametric modeling unit, and calculating an optimal voltage regulation gear based on a heat balance equation and a Joule heat effect to realize adaptive voltage regulation; the demarcation switch, the short circuit switch and the ice melting switch are arranged, the effect of cable short circuit heating ice melting is achieved by sequentially controlling the on-off states of all the switches, finite element real-time simulation and parameterization voltage regulation decision are combined, and the cable ice melting efficiency, reliability and safety are remarkably improved.

The invention relates to the technical field of electrochemical energy storage application, and discloses a load power prediction-based user side energy storage operation regulation method, which comprises the following steps of: acquiring load power and energy storage power in a sampling period, calculating a load prediction value at the end of a next period according to the initial load power and the end load power in the period, establishing a historical load extreme value database, and executing an asymmetric condition updating rule, namely, performing online correction on the database according to different comparison conditions in a charging mode and a discharging mode; an adjusting instruction is generated according to the capacity constraint of the transformer in the charging mode, and an adjusting instruction is generated according to the anti-countercurrent threshold constraint in the discharging mode. Preventive measures for two different operation risks of charging overload and discharging countercurrent are unified in a continuous control process with online self-learning capability according to system operation state switching adjustment reference and boundary conditions, and the economical efficiency and the safety of operation are both considered.

The invention discloses a parallel operation control method and system of an energy storage converter. The method comprises the following steps: acquiring an output current of a load end of the energy storage converter, generating a state switching signal through the main energy storage converter according to a difference between the output current and a preset current threshold value, sending the state switching signal to the ith slave energy storage converter, and sending the state switching signal to the ith slave energy storage converter through the ith slave energy storage converter. And switching the operation mode of the ith slave energy storage converter or generating an ith state signal according to the state switching signal and the operation state of the ith slave energy storage converter, and sending a state switching signal to the (i + 1) th slave energy storage converter through the main energy storage converter according to the ith state signal. According to the invention, the number of the energy storage converters in the grid-connected / off-grid mode is automatically adjusted according to the change of the load capacity, the conversion efficiency and the adaptive capability of the energy storage converters are improved, and the system benefit is maximized while the load demand of a user side is met.

The embodiments of the present application relate to the technical field of computers. Provided are a key updating method and apparatus, and a device and a storage medium. The method comprises: in response to a state switching operation triggered for an application, a service device sending a state switching request to a management platform; and on the basis of the state switching request, the management platform replacing an original key with an updated key, switching a normal state policy to a transition state policy, and issuing the transition state policy to an encryption device in real time, wherein the transition state policy can ensure the coexistence of new and old keys, so that the encryption device can use the updated key to encrypt plaintext data of the application, and send obtained ciphertext data to a database. Moreover, the service device can be synchronized with a bypass to execute a batch data processing task, and existing data in the database can be refreshed, such that key updating and existing data processing in an encrypted database are realized without affecting the normal service provision of the application, thereby guaranteeing the service availability of the application and the database.

Circuits defined by n-state switching tables with n>2 are transformed by at least one n-state inverter which may be a Finite Lab-transform (FLT) into a Finite Lab-transformed (FLTed) n-state switching devices. Computer operations defined by transformed or modified n-state switching tables are applied in cryptographic operations, including one or more message digests or hashing methods or computer one-way functions. A keyword is generated from a public keyword by at least one modified known hashing method. A known hashing method may be selected from the group consisting of SHA-1, SHA-2, SHA-3, MD5, MD6, Blake2, Blake3 and CubeHash. Internal states of known hashing methods are modified to generate unpredictable hash values.

The invention discloses a data path switching method of a Retimer controller and a Retimer chip, and belongs to the field of communication. In order to reduce the risk of timeout of RC and EP in a balance stage, the method for switching the data path of the Retimer controller comprises the following steps: when the Retimer controller simultaneously meets the condition that any channel of an uplink pseudo port and a downlink pseudo port respectively detects eight continuous TS2 sequences with speed fields of 1, the public maximum rate is PCIe Gen6 and is greater than the current rate, and the Retimer controller is in an FLIT mode and a stateful state, setting the start field to 1. And after the negotiation is completed, the RC controller, the EP controller and the Regimer controller enter a recovery. Speed state to switch the speed, and the switching from PCIe Gen5 to Gen6 is completed. And after switching, the Retimer and the EP are switched to a recovery. Phase0 state, the RC is switched to a recovery. Phase1 state, and when the Retimer controller is in the recovery. Phase0 state, a code stream generation module generates a TS0 sequence and sends the TS0 sequence to the RC and the EP. The method is applied to the PCIe field, and the robustness of RC and EP in the balancing process is improved.

The invention discloses a brain-controlled mechanical arm method and device based on virtual-real fusion visual stimulation. The method comprises the steps that a state switching interface and a visual stimulation interface set are generated according to a target scene; presenting the state switching interface in front of the visual field of the operator by using a visual stimulation unit, and obtaining a state instruction selected by the operator; entering a visual stimulation interface according to the state instruction, fusing the visual stimulation interface set with an actual scene as required by using an augmented reality visual stimulation unit, presenting the fused visual stimulation interface set in front of the visual field of the operator, and obtaining an operation instruction selected by the operator according to a visual stimulation electroencephalogram signal judgment model; and the mechanical arm performs operation according to the operation instruction. Visibly, the control time and the brain burden of a brain-controlled mechanical arm operator are effectively reduced by utilizing a virtual-real fused visual stimulation interface; a brain-controlled mechanical arm device with high flexibility and practicability is built by fusing multiple technologies such as augmented reality, a brain-computer interface, a dynamic window and asynchronous control.

The invention relates to a processor low-power-consumption state switching method based on an RISC-V server platform, and belongs to the technical field of computers. The method comprises the following steps: (1) configuring multi-stage low-power-consumption state information of the RISC-V processor; (2) initializing a CPU idle state management module by utilizing the multi-stage low-power-consumption state information; (3) the CPU idle state management module selects an optimal low-power-consumption state for the RISC-V processor based on a control strategy of a reinforcement learning SARSA algorithm; and (4) enabling the RISC-V processor to enter a specified low-power-consumption state. According to the invention, efficient power management of the RISC-V processor on a server platform is realized, the energy consumption can be obviously reduced while the system performance is ensured, the energy efficiency ratio of the server is effectively improved, and the method is particularly suitable for power management of a large-scale server cluster and construction of a green data center.

A phase shifter cell and multiple coupled phase shifter cells that mitigate signal glitches arising from phase state changes by a combination of design architecture and control signal timing. Specifically, one or more of the following three concepts are employed to mitigate insertion loss glitches and control phase behavior during phase state transitions: the timing of switching for each switched half-cell (e.g., including series and / or shunt reactance elements, such as inductors and / or capacitors) within a phase shifter cell is controlled in such a way that the reactance elements do not all switch at the same time; use of a “make before break” timing scheme for combination or “multi-state” phase shifter cells; and / or arranging the timing of each phase shifter cell in a set of multiple coupled phase shifter cells such that the individual cells do not all switch at the same time.

The invention discloses a pet behavior data management system and method based on big data, and relates to the technical field of pet behavior intelligent monitoring. Performing time synchronization and time sequence reconstruction; carrying out preprocessing, and carrying out key frame extraction and target detection on the video frame to obtain a pet posture track; on the basis of a state switching point of a hidden Markov model, dividing the data subjected to time sequence reconstruction into a plurality of behavior events, and combining adjacent related behavior events to form behavior blocks; extracting statistical characteristics, behavior frequency and context characteristics of each behavior block, and training an individual behavior baseline model by adopting a multi-scale sliding window and a weight attenuation strategy based on historical behavior data; and comparing the real-time behavior block with the individual behavior baseline, and carrying out anomaly monitoring and warning through an integrated classifier. According to the invention, cross-device pet behavior management and abnormal early warning can be realized, and the reliability and the intelligent level of pet health monitoring and behavior analysis are remarkably improved.

The invention provides a communication module state switching method and system based on event triggering, and relates to the technical field of communication.The method comprises the steps that firstly, multi-source event source information in operation of a communication module is collected, and event influence hierarchy division is conducted; a target association network is generated by combining a current operation state and a historical state switching database of the communication module; generating a dynamic path including a hardware parameter adjustment sequence and the like based on the target association network and the historical stability record; pre-judging the stability of the dynamic path; generating a state switching execution instruction according to the pre-judgment result and generating switching process data; and finally, updating the historical state switching database and the target association network based on the switching process data to form closed-loop optimization, thereby realizing dynamic optimization of communication module state switching, and improving adaptability and stability of switching.

The invention belongs to the field of single-flow zinc-nickel battery model establishment and parameter identification, and particularly relates to a construction method of an equivalent circuit model considering the shelving time of a single-flow zinc-nickel battery, which comprises the following steps of: establishing a second-order RC equivalent circuit model; adding a resistor and a single-pole double-throw switch on the second-order RC equivalent circuit model to form a state switching equivalent circuit model; when the load current is not zero, the battery is in a working state, and a GrGWO algorithm is adopted to identify parameters of the second-order RC equivalent circuit model; and when the load current is 0, the battery is in a shelving state, the single-pole double-throw switch acts, the circuit structure is changed, and parameters of the state switching equivalent circuit model are identified by adopting an MPA algorithm. The characteristic that when the single-liquid-flow zinc-nickel battery is shelved, the time constant can change along with the increase of shelving time is considered, so that the model can better track the change of the terminal voltage of the single-liquid-flow zinc-nickel battery under a complex working condition, and the accuracy of the model is improved.

Systems and methods include an Information Handling System (IHS) that is adapted to address power state transition failures by an IHS. An Embedded Controller (EC) of the IHS detects a request for the IHS to transition to a low-power operating state, such as a modern standby power state. The EC monitors for progress of the IHS in transitioning to the low-power operating state. Based on the monitoring, the EC determines the SoC is preventing the transition by the IHS to the low-power operating state. The EC identifies and releases hardware resources of the IHS that are referenced by the SoC and that are preventing the transition of the IHS to the low-power operating state.

The invention relates to the technical field of electric power simulation, and discloses an electric power system data parallel simulation processing method based on distributed modeling. The method comprises the following steps: acquiring voltage, frequency and power parameters of a new energy inverter and an energy storage converter, and generating a state switching feature vector through a fuzzy C-means algorithm; determining and calculating a load abrupt change subsystem according to the load index overrun, and calculating the electrical coupling strength with an adjacent subsystem; allocating reserved computing resources for the mutation subsystem through a particle swarm optimization algorithm to form a dynamic resource allocation table; and adjusting the data synchronization period of the mutation subsystem to an extended time window, and continuing parallel simulation after the adjacent subsystems wait for boundary data. According to the method, the problems that in an existing power system data parallel simulation processing method based on distributed modeling, the calculation load abrupt change and the data synchronization failure caused by strong nonlinear component state switching cannot be processed are solved.

The invention provides a DPU-based remote direct memory access queue pair state machine implementation method and device, and the method comprises the steps: creating a flag bit, and setting the value of the flag bit according to each state of a queue pair state machine, so as to achieve state switching; creating a queue pair, and entering a reset state; configuring attributes of a queue pair, and switching to an initialization state; setting parameters of a receiving end, and switching to a ready receiving state; establishing communication connection, setting parameters of a sending end, switching to a ready-to-send state, and executing remote direct memory access operation so as to perform data transmission; if all the data in the sending queue is sent, switching to a sending completion state; if the sending queue has an error, switching from a sending preparation state or a sending completion state to a sending error state; if the queue pair has an error, switching from the current state to the queue pair error; and switching to a reset state after processing an error. According to the method, the flexibility and expansibility of the system are improved, and the processing efficiency of error and abnormal conditions is improved.

While in an inactive state, a user equipment (UE) device transmits a message to a base station. The message indicates the UE device's intent to perform transmission and / or reception of user data with the network during the inactive state. The message may include a portion of the user data and / or a buffer status report. The UE device receives a response message that induces a state transition in the UE device. Different state transitions (e.g., to idle, inactive, legacy inactive, connected) may be induced by different types of response message (e.g., release, release with suspend configuration, resume, setup). One particular type of response message causes the UE to stay in the inactive state and enables subsequent user data transmission / reception in the inactive state. The response message may implicitly (or explicitly) indicate that forwarding of the user data to a core network was successful.

The invention provides a valve fault self-checking method and system based on current detection and a storage medium, and the method comprises the steps: firstly, collecting the working current of a valve driving chip in real time through a non-contact current sensor, and reducing the interference of an external signal on a measurement signal through a non-intrusive design; secondly, analyzing the current curve, the current operation amplitude and the current instantaneous change rate to obtain real-time model matching data; then, dynamic characteristic model reference data is established based on historical current data in the valve state switching process, and the adaptability of an alarm threshold value and the valve working state is improved; and finally, comparing real-time model matching data with theoretical characteristic model reference data, analyzing and identifying abnormal conditions, and triggering graded early warning response or redundancy control operation according to the abnormal conditions. Wherein invalid warning is reduced and the equipment maintenance efficiency is improved by adopting a multi-stage early warning mechanism; in addition, the fault-tolerant rate of the working of the instrument / meter valve is improved through redundancy control operation.

The invention relates to a state switching system for an intelligent access control, and the system comprises a content mapping mechanism which is used for employing a deep neural network recognition model to intelligently predict the number of visitors and the number of owners corresponding to a set access channel where the intelligent access control is located in a fixed time interval of the day; and the strategy adjusting mechanism is used for setting the state of the intelligent access control in the fixed time interval of the day to be a normally open state in advance when the intelligently predicted visitor number is greater than or equal to the owner number. The state switching system for the intelligent access control is reliable in logic and has certain pertinence. As the visitor number and the owner number of a certain access channel of the target residential district managed by the intelligent access control in the future time interval can be intelligently predicted, when the intelligently predicted visitor number is greater than or equal to the owner number, the state of the intelligent access control in the future time interval is set to be a normally open state in advance, otherwise, the state of the intelligent access control in the future time interval is set to be a normally open state. And a normally closed state is set in advance, so that the intelligent level of intelligent access control management is improved.

An EMLSR-active non-AP MLD desires to initiate a frame exchange with the AP MLD over one of the EMLSR links. A first link is chosen and the corresponding “first” affiliated STA invokes and starts an EDCA backoff procedure that decrements one or more backoff counters, to access the first link. Alternatively, each EMLSR co-affiliated STA may invoke an EDCA backoff procedure to access their respective link. In embodiments, the first affiliated STA is switched from a listening operation state to an enabled frame exchange state, before invoking the EDCA backoff procedure. In other embodiments, the first affiliated STA first invokes the EDCA backoff procedure, and is switched to the enabled frame exchange state when the backoff counter expires. A corresponding state switching procedure may be invoked so that it ends with the expiry of the backoff counter, or responsive to an expiry of the backoff counter.