6results about How to "Excellent decomposability" patented technology

The invention provides an effective signal filtering and noise reduction method and system for a micro-seismic event of a tunnel water and mud inrush disaster, and relates to the technical field of signal processing. Comprising the following steps: acquiring original signals of water-inrush and mud-inrush micro-seismic events; performing modal decomposition on the original signal by using a variational modal decomposition method to obtain a plurality of modal components; calculating a cross correlation coefficient between the original signal and each modal component; based on the center frequency of each modal component and in combination with the cross correlation coefficient, performing primary noise reduction on the plurality of modal components; performing de-trend fluctuation analysis on the modal components after the primary noise reduction screening to obtain scale indexes of the modal components after the primary noise reduction screening, and performing secondary noise reduction based on the scale indexes; and reconstructing the modal component after the secondary noise reduction screening to obtain a micro-seismic signal after noise reduction filtering. According to the method, the problem that noise and effective signals in part of modal components are mixed is solved, and the weak signal extraction capacity is improved.

The present invention provides a kind of biological organic fertilizer and its production method and application, belongs to the field of biological organic fertilizer technology, and the production method of the biological organic fertilizer comprises the following steps: S1, by weight, 0.8-1 parts of seaweed crushed material, 7.5-8 parts of straw and 1-1.3 parts of human and animal feces are mixed to obtain a basic material; S2, a composite bacterial agent is added to the basic material obtained by S1, the mass of the composite bacterial agent is 0.2-0.3% of the mass of the basic material, mixed, uniformly ventilated, composted for 25-28d, and a biological organic fertilizer is obtained; the composite bacterial agent includes Bacillus licheniformis, nitrogen-fixing bacteria and micro-rhizomucor. The present invention ensures that the fertilizer release rate of the obtained fertilizer is fast and the action time is long, and the growth needs of short-growth cycle vegetables and long-growth cycle vegetables can be better taken into account.

According to the aerosol generating product capable of being rapidly degraded and the preparation method of the aerosol generating product, a biodegradable fuming section, a biodegradable supporting section, a biodegradable cooling section and a biodegradable filtering section are formed by designing and matching specific biodegradable materials for four functional sections of the aerosol generating product respectively; the whole section of the aerosol generating product is completely biodegradable; the whole aerosol generating product can be effectively decomposed by microorganisms under the natural environment or industrial compost condition after being used, and is finally converted into carbon dioxide, water and biomass, so that the problem of persistent plastic pollution caused by cigarette waste is completely eradicated from the source, and the minimum influence of the whole life cycle of the product on the environment is realized; the global trend of circular economy and sustainable development is positively responded.

According to the building energy consumption prediction method and system based on multi-frequency characteristic decomposition and double-branch modeling provided by the invention, a complete ensemble empirical mode decomposition (CEEMDAN) adaptive noise algorithm is introduced to perform multi-scale decomposition on a building energy consumption signal, so that the decomposability and the signal stability of an original energy consumption sequence are greatly improved. The CEEMDAN decomposition mechanism ensures that different frequency components are effectively distinguished before modeling, and the problems of mode aliasing and feature distortion caused by direct modeling of non-stationary signals are avoided. And through an adaptive grouping strategy based on variance entropy, the decomposed signals are automatically classified and reconstructed, so that high-frequency disturbance and low-frequency trend can be modeled in a targeted manner, and the feature expression ability and generalization performance of the model are further improved.

This invention relates to the field of dynamic disturbance measurement technology, specifically to a method and apparatus for measuring vertical dynamic disturbance of high-speed railway bridges. The method involves taking a subsequence at each sampling moment in the vertical displacement time series at a key section of the bridge, using a sliding window centered on that moment, and identifying local extreme points. The extreme point density and amplitude dispersion are determined based on these local extreme points. The extreme point density and amplitude dispersion are processed to obtain normalized distortion. An adaptive threshold is constructed based on the normalized distortion. The sequence or the unprocessed residual components from the previous decomposition are used as the signal to be decomposed, and iterative sieving is performed to extract intrinsic mode functions (EMFs). Each sieving iteration calculates the local deviation. If the local deviation is less than the adaptive threshold and meets preset constraints, the iteration terminates and the EMF is output. The obtained EMFs are used to reconstruct the signal, resulting in the vertical dynamic disturbance waveform, thereby improving the accuracy of vertical dynamic disturbance measurement.

The invention discloses a bacterial agent for decomposing grease, which is prepared by the following method: inoculating a composite bacterial species in a seed culture medium to obtain a seed liquid, and then inoculating the seed liquid into an expansion culture medium for expansion culture. The bacterial agent for decomposing grease disclosed by the invention has good grease decomposition ability.