6results about How to "Economic unity" patented technology

The application discloses white carbon black and a preparation method and application thereof, and the preparation method comprises the following steps: S1, silicon source pretreatment: mixing rice husk ash and a sodium hydroxide solution, reacting under the assistance of microwaves, adding a composite impurity removing agent for deep purification after filtration, and obtaining refined water glass solution; S2, modified precursor preparation: adding a composite modifier into the refined water glass solution, and obtaining a modified precursor solution; S3, high-pressure spray carbonization: atomizing the precursor solution, and reacting with mixed gas of CO2 and N2 in a high-pressure spray reaction tower to generate white carbon black slurry; S4, post-treatment: after washing and grinding, the white carbon black slurry is spray dried to obtain a finished product; and S5, waste liquid circulation: reacting the washing waste liquid with limestone, and recycling the alkali liquor for the step S1. The application realizes the recycling of waste resources; the product has high activation degree and excellent dispersibility, is applied to rubber reinforcement, improves processing performance, significantly enhances mechanical properties such as tensile strength, and has a good industrial application prospect.

The invention discloses a production process of a new material for paper decoration, and relates to the technical field of decoration material production, the dependence on natural mineral products is abandoned, renewable plant fiber paper is adopted as a core base material, the radioactive risk of a raw material source is eliminated, and the environmental safety of long-term indoor use of the material is ensured; in order to solve the problems that paper is insufficient in strength and poor in weather resistance, a composite modifier containing waterborne polyurethane resin and nano silicon dioxide is designed, the modifier fully permeates into the interior and gaps of a paper fiber network through an ultrasonic-assisted impregnation technology, and in the subsequent drying and hot pressing process, the strength of the paper is greatly improved. The resin is crosslinked and has a synergistic effect with the nanoparticles, a compact organic-inorganic hybrid protection layer is formed on the surfaces of the fibers and among the fibers, and the protection layer obviously enhances the mechanical strength, wear resistance and moisture resistance of the paper, so that the paper meets the use requirements of decorative plane materials, and meanwhile, unification of safety and economical efficiency is realized.

This application discloses a remote monitoring system for coal blending and combustion in a tower boiler, comprising: a data acquisition and preprocessing module; a coal quality analysis and blending optimization module; a combustion state identification and coking early warning module; a wall temperature dynamic prediction and overheating early warning module; a multi-objective collaborative control module; and a remote monitoring and visualization platform. This application improves the economic efficiency and coal type adaptability of coal blending and combustion. The system constructs a dynamic coal quality characteristic map, links coal yard zoning with real-time coal quality data, and combines a multi-objective optimization model to automatically generate the blending scheme with the lowest overall cost under the premise of meeting load, emission, and safety constraints. By introducing a dynamic risk cost term, safety hazards such as coking, corrosion, and overheating are quantified as part of the optimization objectives, enabling the scheme to proactively avoid high-risk coal combinations while reducing fuel procurement costs, achieving a balance between economic efficiency and safety.

The application discloses a cross-domain perception self-evolution energy storage battery management system and a protection method thereof, and belongs to the technical field of energy storage battery management. The system comprises a perception unit, a data fusion unit, an algorithm core unit and a collaborative control unit. The perception unit collects cell microstate, battery body operation and external scene parameters; the data fusion unit pre-processes and outputs a feature vector; the algorithm core unit comprises a double-cycle AI algorithm module of online incremental learning and offline iterative updating, and a digital twin engine module for constructing a special twin for each cell; and the collaborative control unit allocates and schedules tasks according to the cell health state, and reversely requests load adjustment in an abnormal situation. The application realizes accurate cell state perception, model self-evolution updating and health constraint collaborative control, and improves the safety, economy and cycle life of the energy storage system.

This invention discloses a computing resource planning method and system based on a large model. The computing resource planning method includes: constructing a structured performance database based on benchmark test documents; generating a set of configuration data points corresponding to each configuration node based on the performance database; generating optimal data points based on the configuration data point sets; obtaining the business target concurrency; traversing the optimal data points corresponding to the configuration nodes; generating at least one candidate deployment scheme that meets the business target concurrency; calculating the cost information of the candidate deployment schemes; and generating the target deployment scheme based on the cost information. Specifically, the optimal data point has a first token latency less than a preset latency time threshold, a single-user throughput greater than or equal to a preset throughput threshold, and the concurrency number is the maximum value in the configuration data point set. This invention achieves accurate prediction of concurrency carrying capacity under strict latency constraints through structured modeling and interpolation calculation, exhibits strong cross-scenario generalization ability, and reduces computing resource planning errors.

The application discloses an aero-engine oil system flushing method, and belongs to the technical field of aero-engine maintenance. The method comprises the following steps: evaluating and calculating the proportion K of the oil in the oil tank of the oil system in the whole oil system; determining the replacement number n of the oil in the oil tank, and replacing the oil in the oil tank; after replacing the oil in the oil tank each time, performing oil flushing and mixing: starting the engine to perform cold running, and performing the next step according to the engine cold running condition; if the engine cold running is abnormal, cleaning metal scraps and then starting the engine to perform cold running again; if the engine cold running is normal, then determining the slow-speed running time t of the slow-speed state to perform slow-speed running. The application directly locks the final cleanliness and the execution number, eliminates the old oil pollution risk, realizes scientific and standardized process control, realizes optimal control of the process, significantly improves the comprehensive benefits, realizes the unity of safety and economy, and provides guarantee for ensuring the engine overhaul interval.