7results about How to "Reduce malfunction" patented technology

The application relates to the technical field of power supply control, and discloses a data center intelligent power supply method and system based on real-time load dynamic adjustment, which comprises the following steps: collecting operation data; performing association processing to determine power supply topological relations and load corresponding relations; obtaining a load change trend; combining the power supply topological relations, the load corresponding relations, power supply state data and energy storage state data to determine a current minimum power supply capacity and generate a candidate adjustment action set; performing risk judgment on the operation data; when the load change trend meets a pre-waking trigger condition or a power supply risk state meets an adjustment trigger condition, performing executability verification on the candidate adjustment action set and generating a power supply linkage adjustment strategy; and implementing the power supply linkage adjustment strategy in stages according to a preliminary execution and a submission execution. The application realizes linkage adjustment of the sleep and pre-waking of a power supply module in a data center scene, and the linkage adjustment considers energy-saving effect, power supply reliability and dynamic response capability.

The application discloses a multi-modal-based digital human interaction control method and device, and relates to the technical field of artificial intelligence digital human, and specifically comprises the following steps: collecting multi-source heterogeneous multi-modal data of user interaction with a digital human in real time; constructing a dynamic adaptive multi-modal space-time hypergraph Transformer network, deeply fusing the multi-source heterogeneous multi-modal data, and obtaining a fused interaction feature vector; generating a multi-dimensional interaction situation tensor based on the fused interaction feature vector; generating a digital human response action sequence, voice content, expression posture and interaction strategy according to the multi-dimensional interaction situation tensor, and driving the digital human to execute; acquiring feedback data of the digital human after executing the response in real time, and optimizing parameters of the dynamic adaptive multi-modal space-time hypergraph Transformer network based on the feedback data; and effectively improving the naturalness and response accuracy of digital human interaction, and reducing the interaction misunderstanding rate and user cognitive load.

The application discloses a kind of active cut-out control method and system of wind turbine turbulence tailing, this method includes steps: 1) in the process of wind turbine operation, obtain the turbulence information and wind speed information of wind turbine;2) turbulence information and wind speed information are compared with corresponding preset threshold respectively;When turbulence information and wind speed information are all greater than corresponding preset threshold, then determine turbulence tailing, enter turbulence tailing active cut-out control.The application has the advantages of safe and efficient, easy to implement, strong universality etc..

The application relates to a European box transformer and relates to the technical field of box-type substations, which comprises a box body, the top of the box body is provided with a connecting mounting plate, the mounting plate is provided with a pressure relief cylinder penetrating through the top surface of the box body, a pressure relief film, a foamed metal block and an annular base are sequentially arranged in the pressure relief cylinder, a fire extinguishing device and a heat dissipation device are arranged in the box body, the fire extinguishing device comprises an air bag, a clamping block and a bimetallic strip, the heat dissipation device comprises a driving motor, a driving pipe and a fan blade, and a temperature sensor and a photosensitive sensor are further electrically connected with the driving motor. The application has the effects of effective pressure relief, fire extinguishing and heat dissipation. When the temperature in the box body is abnormal, timely response can be realized, the fire is extinguished by releasing fire extinguishing gas through the rupture of a heat-sensitive microcapsule layer, the heat dissipation device is started to dissipate heat by using a temperature sensor, and the spring sheet vibration sound plays an alarming role when pressure relief.

Embodiments of the present application provide a kind of board level structure and electronic equipment, it is related to electronic equipment technical field.The board level structure includes substrate, camera module, power supply wiring and suspension coil.Wherein, power supply is equipped on substrate.Cameras module is set to substrate, and cameras module includes magnetic component.At least part of power supply wiring is located at the outside of cameras module.At least part of suspension coil is located between cameras module and power supply wiring, when power supply inputs periodic variation input current to power supply wiring, coupling current with input current frequency same, opposite direction is generated in the suspension coil between cameras module and power supply wiring.The board level structure can reduce the electromagnetic interference that power supply wiring generates to the magnetic component in cameras module by setting suspension coil, and it is convenient to wiring, can solve the problem of higher difficulty in wiring in related art.

This invention relates to the field of distribution transformer technology and discloses an intelligent monitoring device and control method for distribution transformers, comprising: acquiring infrared thermal images of radiators, extracting brightness periodic features through spectrum analysis to determine fin pitch, and determining the effective height according to the target area size; preprocessing the thermal image brightness values, calculating the transverse and longitudinal second-order structure functions within the fin pitch-related scale range and fitting scaling exponents to obtain the span-to-span structure function exponent difference, and outputting the exponent difference estimate end-to-end through a convolutional neural network containing a structure function calculation layer; converting the exponent difference estimate into an allowable load tightening coefficient through monotonic mapping; calculating the nominal allowable load by combining operating parameters and a hot spot temperature rise model, and correcting it with the coefficient to obtain the actual allowable load; comparing the current operating load with the actual allowable load, and automatically issuing contact point and load adjustment control commands when exceeding the limit, thereby realizing adaptive load limiting control based on image data.

This utility model discloses a water level sensing circuit for a tea bar machine, including a power supply circuit, a control unit, and an actuator. The control unit is electrically connected to the actuator. The power supply circuit is electrically connected to an overvoltage protection circuit, which is also electrically connected to the control unit. The control unit is electrically connected to an anti-interference water level detection circuit. This utility model, by combining a differential amplifier U1 with a multi-stage filtering network, significantly suppresses electromagnetic interference and signal noise caused by water surface fluctuations, solving the problem of accidental triggering, improving the stability and accuracy of the water level detection signal, greatly reducing the probability of malfunction, and enhancing the overall reliability and user experience. Furthermore, the overvoltage protection circuit can quickly cut off the power supply to subsequent stages when abnormally high voltage occurs, forming an effective protective barrier for the control unit and the anti-interference water level detection circuit, thus improving safety.