10results about How to "Implement co-processing" patented technology

This invention provides a dry desulfurization, defluorination, and dust removal system and method for electrolytic aluminum flue gas. The system includes an integrated defluorination and dust removal device, an absorption and adsorption device, and a bag filter connected in sequence. The integrated defluorination and dust removal device is used to defluorinate and remove dust from the input electrolytic aluminum flue gas. The absorption and adsorption device includes a high-temperature absorption and adsorption mechanism and a low-temperature absorption and adsorption mechanism arranged in parallel. The inlet ends of both the high-temperature and low-temperature absorption and adsorption mechanisms are connected to the outlet end of the integrated defluorination and dust removal device. The high-temperature and low-temperature absorption and adsorption mechanisms are configured to automatically distribute the electrolytic aluminum flue gas to the corresponding high-temperature or low-temperature absorption and adsorption mechanism for desulfurization treatment based on the temperature and / or dew point of the electrolytic aluminum flue gas flowing out of the integrated defluorination and dust removal device. The bag filter is used to remove dust from the desulfurized electrolytic aluminum flue gas. This system can achieve synergistic and efficient removal of multiple pollutants such as sulfur, fluoride, and dust.

The application provides a resource allocation method, an electronic device, a medium and a product; wherein the method comprises: obtaining task information of a plurality of tasks and node information of a plurality of cluster nodes; determining a task scheduling strategy based on the task information and the node information; the task scheduling strategy indicates a task set of each cluster node; the task set comprises at least one task; determining a resource allocation strategy corresponding to the task scheduling strategy; the resource allocation strategy indicates the computing power resource of each cluster node for processing the task set; and the collaborative processing of task scheduling and resource allocation can be realized.

The application discloses a countercurrent submerged hot steel slag treatment coupled industrial flue gas carbon capture system and method, and belongs to the technical field of industrial solid waste and waste gas resource treatment. The system comprises a hot stewing pool, a slag cover, a matrix type water and gas distribution system, an industrial flue gas supply unit, a micro-nano bubble generating device, a waste heat recovery device and a control unit. The method is that the matrix type water and gas distribution system is used to pass cooling water and industrial flue gas water solution rich in micro-nano bubbles into hot steel slag from the pool bottom in a region-by-region and time-by-time manner, and countercurrent submerged cooling stewing slag and carbonation carbon fixation reaction are sequentially carried out. The application solves the problems of poor safety, low resource recovery rate and high carbon capture cost of the traditional hot stewing process, and provides a safe, efficient and low-cost steel slag and flue gas collaborative treatment solution.

This application provides a method and system for high-precision positioning and correction of unmanned aerial vehicles (UAVs) based on BeiDou tri-frequency signals. The method first receives a tri-frequency signal group transmitted by the BeiDou satellite navigation system. Then, utilizing the dispersion characteristics of the tri-frequency signal group propagating in the ionosphere, a real-time correction value for ionospheric delay error is generated. Next, multipath effect characteristic data caused by terrain undulations during agricultural surveying operations is acquired. Then, the multipath effect characteristic data is coupled with the real-time correction value to construct a dynamic error suppression model. Finally, the dynamic error suppression model is used to correct the original positioning trajectory of the UAV point by point to output a high-precision positioning result. The technical solution provided by this application not only effectively solves the combined interference problem of ionospheric delay and multipath effect, but also achieves high-precision positioning of UAVs in complex agricultural terrain environments, significantly improving the accuracy and environmental adaptability of the positioning results.

This application relates to the field of wastewater treatment technology. Its main objective is to provide an integrated device for the co-treatment of organic wastewater and heavy metal wastewater, addressing the problems of low efficiency and poor stability in the co-treatment of organic and heavy metal wastewater in existing technologies. The technical solution of this application installs a sulfate reactor within a traditional anaerobic treatment reactor, integrating the sulfate-reducing bacteria packing zone and mixing zone inside the reactor. This achieves the co-treatment of organic and heavy metal wastewater, featuring a compact structure, small footprint, and significant cost savings. This application employs a vortex separator combined with dual-circulation reflux to achieve efficient separation and recovery of heavy metal sulfide precipitation. Biogas lift is utilized to achieve dual-circulation reflux, improving mass transfer efficiency. The zoned isolation, dual-circulation lift, and vortex staged separation technologies structurally solve the technical problems of low sulfide precipitation separation efficiency and poor operational stability in traditional reactors.

This invention provides a reliability assessment method for the structural integrity of propellant grains in solid rocket motors. The method includes: constructing an initial training set through clustering and selective sampling; training a first kriging model; and iteratively updating the model to meet convergence conditions. Subsequently, a second kriging model is further trained based on the updated sample pool, which is ultimately used to calculate the failure probability of the propellant grain at its maximum strain. This invention achieves coordinated handling of stochastic and cognitive uncertainties in the propellant grain structural response by introducing a clustering screening and learning function-guided sample selection mechanism, as well as a two-stage progressive model update strategy. This method significantly reduces computational resource consumption while ensuring prediction accuracy, improving the efficiency and applicability of reliability assessment. It is particularly suitable for the integrity analysis of complex propellant grain structures with multi-source uncertainties, providing more accurate and efficient technical support for the reliability design and life assessment of solid rocket motors.

The invention relates to the technical field of distributed computing, in particular to an intelligent iterative knowledge base management system and method for on-site technical services, and the system comprises an edge layer which is used for collecting multi-modal data of on-site equipment in the operation process; the data acquisition layer is used for collecting multi-modal data and preprocessing the multi-modal data to obtain preprocessed multi-modal data; the distributed storage layer is used for carrying out distributed storage and deduplication storage on the preprocessed multi-modal data; the intelligent analysis layer is used for processing the preprocessed multi-modal data and constructing a technical service iteration knowledge graph; performing causal reasoning on the technical service iteration knowledge graph, and updating a pre-constructed technical iteration tree; the application service layer is used for providing field technical services for technicians according to the technical service iteration knowledge graph and the technical iteration tree, and the problems that multi-modal data fusion is low in efficiency, technical iteration manual dependence is high, knowledge and operation collaboration is poor and the like can be solved.

The invention belongs to the field of endoscope illumination, and particularly relates to a curved endoscope illumination control method and system based on image region analysis, and the method comprises the steps: obtaining original image data collected by a head end curved endoscope, and constructing an image feature space comprising a target tissue characterization region, a high-reflection instrument characterization region, a dark region characterization region and a hot spot characterization region; determining a compensation corridor parameter set capable of enabling the original image to reach a preset illumination equalization threshold; extracting critical illumination parameters of the image in the current feature space based on the area proportion of the regional target tissue and the information entropy, and generating critical illumination parameters including an illumination brightness compensation value and a light guide beam emergent angle adjustment value through matching analysis of each regional illumination feature vector and a compensation corridor; and finally, generating a partition lighting control instruction according to the parameters. According to the invention, the problem of non-uniform view brightness caused by spatial deviation of an illumination-observation light path of a bent endoscope is solved, and preferential accurate illumination of a key area is realized.

The invention relates to a refrigerator and a control parameter reasoning method thereof. The refrigerator comprises a refrigerator body, a refrigerating system, a sensing sensor and a controller, and is configured as follows: in response to entering a reasoning period, obtaining a to-be-reasoned layer belonging to the reasoning period in a control parameter prediction model and input data corresponding to the to-be-reasoned layer; wherein the input data of the first reasoning layer is the environment state data of the refrigerator detected under the condition of meeting the refrigeration scheduling requirement of this time; the input data of the non-first reasoning layer is the output data of the previous reasoning layer; inputting the input data into a to-be-reasoned layer for model reasoning to obtain output data of the to-be-reasoned layer; updating the to-be-reasoned layer of the next reasoning period; other control logics for the refrigerator are operated until the reasoning period is finished; wherein under the condition that the to-be-reasoned layer is the control parameter prediction layer, the output data of the to-be-reasoned layer is the operation control parameters of the refrigerator. The method can improve the operation stability of the refrigerator.

This invention relates to the field of marine technology, specifically disclosing a BOG reliquefaction system for ammonia fuel on a CO2 transport ship. The system includes a liquid ammonia fuel tank, a liquid CO2 storage tank, and a jetting and diversion device. The working fluid inlet and ejector fluid inlet of the jetting and diversion device are connected to the BOG outlet of the liquid CO2 storage tank and the BOG outlet of the liquid ammonia fuel tank, respectively. The mixing fluid outlet of the jetting and diversion device is connected to the inlet of a heat exchanger. The outlet of the heat exchanger is connected to a gas-liquid separator. The CO2 outlet of the gas-liquid separator is connected to a CO2 buffer tank. The first outlet of the CO2 buffer tank is connected to a refrigeration unit, where cooling generates liquid CO2 that flows back to the liquid CO2 storage tank. The liquid ammonia outlet of the gas-liquid separator is connected to the liquid ammonia fuel tank. This invention, with jetting and diversion as its core, achieves efficient synergistic processing of two types of BOG, cold energy recycling, and precise control of storage tank pressure, ensuring flexible and rapid pressure and temperature regulation to meet the needs of complex marine operating conditions.