6results about How to "Maximize effectiveness" patented technology

The invention belongs to the technical field of equipment state monitoring and diagnosis, and particularly relates to a signal noise reduction method based on a symplectic geometry difference spectrum. The method comprises the following steps: acquiring an original vibration signal to be diagnosed; decomposing the original vibration signal by using a symplectic geometric similarity transformation method; recombining the covariance matrix, applying a fast Fourier transform (FFT) to each singular value component of the matrix; selecting the frequency value with the maximum amplitude as an index characteristic in the differential spectrum method; performing first-order lag difference processing to obtain a symplectic geometric difference spectrum, setting a threshold value, selecting a required singular value, and performing recombination to obtain a final matrix; bringing the final matrix back to the previous step to obtain a de-noised signal; according to the signal noise reduction method provided by the invention, analysis is carried out through the envelope spectrum, the state characteristics can be identified according to the envelope spectrum, the characteristic frequency and the frequency multiplication thereof can be effectively obtained, and the diagnosis effect is good.

The invention relates to the field of earthquake early warning, and discloses an earthquake early warning system based on a marine government platform, and the system comprises a data collection module which is used for obtaining the earthquake information of a historical earthquake, and the earthquake information comprises epicentral coordinates, epicentral depths, earthquake grades, and corresponding intensity attenuation models and seismic zones; the intensity prediction module is used for constructing a generalization intensity prediction model based on the epicentral coordinates, the epicentral depth and the earthquake grade, and performing differentiation correction on the generalization intensity prediction model according to the seismic zone to which the generalization intensity prediction model belongs, so as to obtain a fitting intensity prediction model; the output of the fitting intensity prediction model represents the prediction intensity of any coordinate about epicenter coordinates; the region division module is used for dividing the earthquake region into a first early warning region to an Nth early warning region based on the epicenter depth and the earthquake grade by taking epicenter coordinates as a center and combining a fitting intensity prediction model; and the early warning sending module is used for distributing early warning sending priorities to the first early warning area to the Nth early warning area according to the earthquake grade.

The application belongs to the technical field of robots, and particularly relates to a robot learning method based on agile iteration aggregation, which comprises the following steps: according to an initial expert demonstration data set, environment state features and corresponding action labels are extracted, a robot action strategy network is pre-trained using a behavior cloning algorithm, and an initial action strategy network is obtained; the robot autonomously executes a current action and detects the current action; when the action is inconsistent, an interactive device is intervened and control right is taken over, the current action of the robot is corrected, and corrected trajectory data is stored; the corrected trajectory data is processed through a delay compensation truncation mechanism and a trajectory standardization resampling algorithm, the processed corrected trajectory data is dynamically weighted and aggregated, and an aggregated data set is obtained; the data is input into the initial action strategy network for training, and through iterative training, a final action strategy network is obtained; and the application completes robust training of complex operation skills of the robot with extremely low labor cost and high efficiency.

A substrate processing method of easily forming an air gap includes: forming a first insulating layer having a first step coverage on a patterned structure including a first protrusion and a second protrusion; and forming, on the first insulating layer, a second insulating layer having a second step coverage lower than the first step coverage, wherein an air gap is formed between the first protrusion and the second protrusion by repeating the forming of the second insulating layer.

The application relates to the technical field of intelligent air conditioners, and provides an air conditioner refrigerant self-adaptive control method and device, which comprises the following steps: detecting the actual superheat degree, system high-pressure pressure and actual opening degree of an electronic expansion valve of an air conditioner under the condition that the fan rotating speed of the air conditioner and the frequency of a compressor remain unchanged; the system high-pressure pressure is the pressure value of the exhaust pipe of the compressor; and based on the actual superheat degree, the system high-pressure pressure, the actual opening degree of the electronic expansion valve and a preset target threshold value, triggering the opening of an electromagnetic valve of a liquid storage tank to adjust the refrigerant amount in the air conditioner. The air conditioner refrigerant self-adaptive control method can effectively improve the adjustment control accuracy of the refrigerant amount, so that the refrigerant amount participating in the circulation is at an optimal value, thereby maximizing the performance of the air conditioning system.

The invention discloses a flux and energy spectrum coordinated regulation and control device, method and system for boron neutron capture therapy, and belongs to the technical field of radiotherapy, and the device comprises a composite modulation unit array which is composed of a plurality of composite modulation rods which can independently move linearly in the direction parallel to the axis of a beam; wherein each composite modulation rod is formed by fixedly connecting at least two neutronics material sections with different neutron reaction cross sections and moderation capabilities along the movement direction of the composite modulation rod; the array composed of the composite modulation rods capable of independently and linearly moving is adopted, each rod is composed of at least two different neutronics material sections, and the traditional normal form that flux adjustment and energy spectrum adjustment are separated from each other is broken through. Synchronous, independent and dynamic integrated modulation of flux intensity and energy spectrum characteristics of an output neutron beam in any local area in a two-dimensional space is realized, so that dual optimization of dose and biological effect is realized, and personalized level and potential curative effect of BNCT treatment are greatly improved.