7results about How to "Eliminate clutter" patented technology

The preparation method comprises the following steps: adding an alkaline reagent into a silver-containing leaching solution of a retired photovoltaic module to adjust the pH value to 3-5, carrying out solid-liquid separation after reaction to obtain an impurity-removed leaching solution, adding flake silver powder into the impurity-removed leaching solution, then adding a mixed solution of a dispersing agent and a reducing agent, and carrying out liquid-phase reduction reaction to obtain the micro-nano silver powder. And carrying out solid-liquid separation on the reacted slurry to obtain the micro-nano silver powder with lead on the surface. According to the preparation method provided by the invention, silver and lead in the retired photovoltaic silver-containing leaching solution can be effectively utilized, the micro-nano composite silver powder with high conductivity can be prepared in one step, and the preparation method is suitable for preparation of photovoltaic conductive silver paste and electronic packaging conductive silver paste.

The utility model relates to the technical field of protective appliance especially is concerned on a kind of noise reduction goggles, including mirror frame and temple, the both ends of mirror frame are hinged respectively with temple, mirror frame is equipped with goggles lens, temple is equipped with noise reduction pendant, noise reduction pendant is equipped with adjusting mechanism, cotton thread and noise reduction earplug, one end of cotton thread is connected in adjusting mechanism, its other end is connected in noise reduction earplug, adjusting mechanism is installed in temple, and the length of cotton thread is adjusted, to release or retract noise reduction earplug. From the above, the efficient integration of the goggles and the noise reduction earplug is achieved, providing one-key retracting and automatic indexing function, significantly improving user experience and operation convenience, while ensuring the stability and safety of the equipment, suitable for a variety of high-noise scenes, meeting the user's needs in protecting eyes and hearing, also improving the practicability and aesthetics of the product.

The utility model discloses a kind of suspension function columns, it is related to electrical equipment installation technical field, it includes function column main body, hidden socket assembly, suspension connecting structure and electrical management module, function column main body is hollow vertical cabinet, adopt wear-resistant fireproof material, inside is arranged neat line slot, side surface integrated incoming line slot and gas terminal interface, hidden socket assembly contains modular socket, shielding by hidden door, can be adjusted position along installation guide rail, suspension connecting structure realizes top suspension installation, save space, electrical management module integrates intelligent circuit breaker and wireless communication module, guarantee power utilization safety and support remote control.The utility model realizes electrical component hidden storage, flexible adaptation and safe power supply, improve space utilization and aesthetic degree, applicable to office, commercial various scenes.

The invention discloses a photovoltaic power generation prediction method and device, relates to the technical field of intelligent power generation, and solves the problems that data errors exist in data acquisition and power generation processes, and a certain deviation exists between a predicted value and an actual value due to the fact that an output result is directly used as the predicted value. The method comprises the following steps: acquiring historical power generation amount, real-time weather data, historical weather data and corresponding historical total power generation amount of a plurality of photovoltaic panels; dividing the photovoltaic power generation area into a plurality of power generation areas based on the historical power generation amount of the plurality of photovoltaic panels; analyzing a power generation threshold value based on the historical weather data and the corresponding historical total power generation amount; predicting the generating capacity of the plurality of areas based on the real-time weather data and the generating threshold to obtain predicted generating capacity; integrating the predicted generating capacity of the plurality of areas to obtain photovoltaic predicted generating capacity; the generating capacity is accurately predicted, and prediction errors caused by uncertain factors are reduced.

To address the issue of user viewing behavior being easily influenced by confounding factors such as video duration in short video recommendation, leading to distorted interest modeling, this paper proposes a short video recommendation method based on causal inference and graph convolutional networks. First, a do-operator is introduced to explicitly intervene in users' historical behavior, weakening the confounding effect of duration bias on interest expression and obtaining more realistic preference signals. Second, positive and negative sample sets are constructed, and representation learning and aggregation are performed separately through differentiated graph convolutional networks to achieve multi-dimensional user preference modeling. Furthermore, graph propagation mechanisms and expert network design are combined to enhance the model's ability to characterize complex interest structures. Experimental results show that this method can effectively alleviate confounding bias and improve recommendation performance and model robustness.

This invention relates to the field of image processing technology, specifically to an automated processing method and system for ancillary results of multi-source remote sensing imagery. The method includes: parsing and extracting core parameters such as side viewpoint, temporal phase, and data source type for each remote sensing image from the original metadata file set, generating a set of structured metadata objects; generating a set of standard scene numbers based on the data source type, track number, and image acquisition time information in the structured metadata object set; and batch-producing the full-scene image metadata files, projection information files, and coordinate information files for each remote sensing image based on the completed full-scene image set, standard scene number set, and structured metadata object set, thus obtaining an initial set of ancillary results. This invention, by parsing and extracting core parameters and generating a set of structured metadata objects, provides a unified, accurate, and machine-readable data source for all subsequent automated steps, eliminating production errors caused by misunderstandings of metadata at the source.

The invention relates to the field of test design, in particular to an accommodation and arrangement condition optimization method based on test simulation, a medium and equipment, data is retrieved from a database through an initial accommodation and arrangement condition, an initial simulation queue is constructed and obtained, baseline feature distribution is analyzed, representative crowds can be obtained without real recruitment, and the test design cost is reduced; the inter-group baseline balance is realized by relying on baseline feature distribution and adopting tendency score matching, so that covariable hybrid interference is eliminated, effect simulation difference is guaranteed to be accurately attributed to a treatment scheme, and the objectivity and reliability of effect evaluation are improved; through a multi-dimensional effect simulation result of a preset risk ratio, a 95% confidence interval, a survival curve and an inspection p value, the test benefit potential under the current accommodation and arrangement condition is pre-judged, the accommodation and arrangement condition is dynamically optimized through a closed loop, and a finally determined target accommodation and arrangement condition set gives consideration to queue scale, baseline balance and effect significance. And the scientificity and success rate of clinical test design are improved.