5results about How to "Realize coordinated control" patented technology

This invention relates to the fields of machine learning and edge computing technology, specifically to a blockchain-based trusted distributed hybrid expert model edge computing system. The system includes a task publisher for publishing learning tasks, which may be training or inference tasks; a blockchain network for receiving learning tasks and evaluating expert weights to obtain sparse activation expert index results; a blockchain network for receiving learning task processing results from the edge layer and achieving consensus; a gating network deployed within the blockchain network; an edge layer for downloading the corresponding expert model from the storage layer based on the sparse activation expert index results to process the learning tasks and uploading the processing results to the blockchain network; and a storage layer for storing all expert networks, each with a CID. This invention significantly improves the defense capability of the distributed MoE network against malicious edge node data tampering attacks, thereby ensuring the learning performance of the MoE system.

The application discloses a method for analyzing the interaction of multiple grid-connected inverters based on matrix norm theory, and aims at the interaction between grid-connected inverters, takes a power distribution system containing two grid-connected inverters as an analysis object, establishes an equivalent grid-connected model containing two inverters based on the Norton theorem, derives a transfer function matrix of a control system, and quantitatively analyzes the relationship between the interaction between inverters and the system frequency, equivalent grid-connected inductance and controller combination mode based on the spectral norm and condition number of the transfer function matrix, so as to provide a reference for the coordinated control of the inverters. A simulation model is built in Matlab / Simulink for analysis. The application provides a simple and effective method for analyzing the interaction of inverters, and provides a theoretical method for the coordinated control of the inverters.

This application relates to the fields of power technology and energy storage technology, and in particular to a method, apparatus, equipment, and medium for scheduling a grid-connected distributed energy system. The system includes at least one edge energy node, a distribution bus, and an energy metering device. When any edge energy node enters the current cycle, the system acquires the net external power collected by the energy metering device and compares it with the target power to obtain a power deviation value. Based on the power deviation value and the energy state information of the edge energy node, droop control calculation is performed to obtain the current energy storage output power. Based on the current energy storage output power, power output is executed and the cycle repeats. This application establishes independent control of each edge energy node in the grid-connected distributed energy system through droop control calculation. It effectively achieves coordinated control of system-level power without the need for a central controller, improving the reliability, autonomy, adaptability, and real-time performance of the grid-connected distributed energy system control.

The present application provides a kind of immersion probe window self-cleaning method and device, belong to immersion probe technical field, the present application constructs acoustic pressure distribution prediction model using physical information neural network to optimize transducer installation position, adopts square wave signal generator to realize the time-sharing control of cleaning and detection, utilizes dynamic time warping algorithm to match the real-time transducer impedance change time sequence with cleaning success time sequence template library to adaptively determine the cleaning completion state, determines the detection equipment start time dynamically through vibration attenuation real-time monitoring module, and the cleaning intensity is closed-loop regulated by artificial intelligence light window pollution evaluation model and driving power adaptive adjustment function, solve the technical problems that cleaning completion state cannot be adaptively determined in the self-cleaning process of immersion probe window, leading to fixed cleaning time and unable to adapt to different pollution conditions.

The application relates to a constant pressure variable air volume control method and related device for a barrier level laboratory animal room, which comprises the following steps: obtaining a current time and an indoor ammonia concentration, and selecting a mode based on the current time and the indoor ammonia concentration; wherein the selectable modes include a daytime mode and a nighttime mode; adjusting and setting a theoretical pressure difference of each functional area based on the nighttime mode, and adjusting a ventilation rate of each functional area, wherein the theoretical pressure difference of each functional area is set according to a preset pressure control gradient; calculating a theoretical air supply rate and a theoretical exhaust rate of each functional area based on the theoretical pressure difference and a functional area use condition; and adjusting a stroke time of each air supply damper based on the theoretical air supply rate and the theoretical exhaust rate. The application can adjust the working power of the system according to the day-night change and the activity level of animals, greatly saves energy while ensuring the ventilation quality, and has the advantages of green environmental protection.