6results about How to "Improve maximization" patented technology

The invention relates to an underwater acoustic target recognition system and method based on multi-modal depth feature fusion, and belongs to the field of underwater acoustic target recognition. The method comprises the following steps: firstly, performing preprocessing on an obtained underwater acoustic target original audio and associated metadata, and constructing a multi-modal data set; and then the constructed multi-modal sample is input into an identification model, the model extracts deep representation of each modal through a multi-branch feature coding network, depth alignment and complementary aggregation of different modal features are realized by using a cross-modal cross attention mechanism guided by potential query, and a target identification result is output based on a decision network of mixed experts. According to the method, experimental verification is carried out on two disclosed underwater acoustic data sets, the experimental result verifies the effectiveness of the multi-modal deep fusion and hybrid expert adaptive decision strategy adopted by the method, and through mining the complementary advantages of acoustic features and semantic priori, the multi-modal deep fusion and hybrid expert adaptive decision strategy is obtained. And the robustness and generalization ability of the underwater acoustic target recognition system in the strong-noise and multi-working-condition environment are remarkably improved.

This invention discloses a method for the biological drying of sludge, comprising the following steps: baking biomass materials, mixing the resulting baked product with sludge, biochar materials, and a conditioner for biological drying, thereby completing the sludge drying process. In this invention, by biologically drying the mixture of baked product, sludge, biochar materials, and conditioner, not only can the self-generated heat within the system be used to effectively dewater the sludge in a very short time, but the bioavailability of the microbial carbon source can also be improved, effectively reducing the generation of polluting gases. This method can effectively reduce the emission of polluting gases while achieving rapid dewatering. It has advantages such as simple process, low treatment cost, low energy consumption, high drying efficiency, good dewatering effect, low polluting gas production, and low content of toxic and harmful components in the dried product. It can solve the problems of biomass resource waste and pollution, achieve sludge reduction and resource utilization, and has high returns and good application prospects.

The utility model discloses a kind of solid insulation ring main unit, it is related to insulating cubicle technical field, including cabinet body;The surface of the cabinet body is rotatably installed with two groups of cabinet doors, the top of cabinet body is provided with water collecting tank, the both sides of cabinet body are provided with heat dissipation component;The utility model is provided with heat dissipation component on the both sides of cabinet body, rainwater can be into the flow pipe of cabinet inner wall by water pipe, the flow pipe of "S" shape can be uniformly to the cooling treatment of cabinet inside, the rainwater inside flow pipe can be pumped into the inside of cooler by water pump, the water inside flow pipe after temperature rise is cooled by cooler, simultaneously, by pipeline, again transported to the inside of water collecting tank, by the circulation channel formed between water pipe, flow pipe and water collecting tank and water pump, not only can the heat of the collected rainwater to the cooling heat dissipation treatment inside cabinet, improve the heat dissipation effect of device, but also can further improve the maximization of water resource utilization.

The invention provides a multi-objective land utilization optimization method based on spatial data, which integrates land surface settlement data as a key constraint variable into an optimization model, and quantifies land surface settlement by integrating land utilization, social economy and ecological data and utilizing sentry SAR data, so that the method has the advantages that the land utilization efficiency is improved, and the land utilization efficiency is improved. A multi-objective function which pursues economic benefit maximization and ecological benefit maximization at the same time is constructed; and then, carrying out multi-objective optimization by adopting an improved non-dominated genetic algorithm (NSGA-II), and realizing spatial refined distribution of the optimized land utilization structure by applying a PLUS model. According to the method, the defect that the dynamic change of the geological environment is neglected in the existing method is overcome, and the optimization result can truly reflect the ground surface settlement risk, so that a scientific decision basis is provided for making a land utilization plan considering safety, development and protection in rapid development and geological sensitive areas.

The application belongs to the technical field of military research data management, and discloses a data right protection and contribution calculation system of a block chain, which comprises: an application layer, which is used for providing trusted military research data based on a block chain core layer to realize data evidence, whole-process operation tracing, multi-dimensional contribution calculation and auditing functions for a collaborative research and development scene; an enhanced component layer, which is used for providing management services, data scheduling, user access and security enhancement support for the application layer; a block chain core layer, which is used for providing block chain basic capabilities supporting multi-chain collaboration, high-throughput consensus, automatic execution of intelligent contracts, national secret level security protection and trusted node management; and an infrastructure layer, which provides computing, storage and network resources for the application layer, the enhanced component layer and the block chain core layer. The application realizes data right protection and contribution calculation by adopting block chain encryption algorithms, consensus mechanisms, distributed ledgers and intelligent contracts and other technologies.

The application provides a large workpiece-based ultrasonic sensitivity detection method, relates to the technical field of detection, and aims to solve the problems of inconsistent sensitivity in the full-thickness range and insufficient detection precision of deep defects in traditional ultrasonic detection. The method sets multiple groups of depth-adaptive equivalent reflectors on the test block, dynamically adjusts the gain value in combination with the fuzzy neural network controller, realizes sensitivity adaptive compensation in the full-thickness range, and ensures that the detection error is stable within ±1%. Based on the dynamic reflector interval design of the material attenuation coefficient and the acoustic parameter, the reflector distribution is optimized, and the complexity of artificial calibration is significantly reduced. The TCG curve is fitted by the piecewise weighted least square method and simulated to generate a high-precision DAC curve, realizing high-confidence output of defect quantitative evaluation. The sensitivity, accuracy and engineering applicability of ultrasonic detection of large workpieces are improved, and the method is particularly suitable for defect detection of complex curvature workpieces.