公开(公告)号：US20250103051A1

公开(公告)日：2025-03-27

申请号：US18972786

申请日：2024-12-06

Applicant: BEIJING UNIVERSITY OF TECHNOLOGY

Inventor： Naigong Yu ,  Yishen Liao ,  Zongxia Wang ,  Hejie Yu ,  Jianjun Yu ,  Xudong Liu ,  Ruihua Wang

IPC: G05D1/243 ,  G05D1/222 ,  G05D101/15 ,  G05D105/80 ,  G06T7/70

Abstract: A method for constructing episodic memory model based on rat brain visual pathway and entorhinal-hippocampal structure mainly applied to environment cognition and navigation of an intelligent mobile robot to complete tasks of environment cognition map construction and target-oriented navigation is provided. The image information of the environment, the head-direction angle and speed of the robot are collected, and then the head-direction angle and speed of the robot are input into the entorhinal-hippocampal CA3 neural computational model to obtain the robot's precise position. The visual information is input into the computational model of the visual pathway to obtain the scene information in the current vision of the robot. The above two kinds of information are fused and stored in a cognitive node with the topological relationship. Utilizing scenario information to correct the path integration errors during the exploration process of the robot, thereby constructing the episodic cognitive map representing the environment.

公开(公告)号：US12228549B2

公开(公告)日：2025-02-18

申请号：US17966175

申请日：2022-10-14

Applicant: Beijing University of Technology

Inventor： Zenghua Liu ,  Wenshuo Jiang ,  Zhaojing Lu ,  Yanhong Guo

IPC: G01N29/24 ,  G01N29/04 ,  G01N33/2045

Abstract: An acoustic field diffusion type electromagnetic acoustic transducer with improved periodic permanent magnets is provided, which includes periodic permanent magnets, a transducer framework, improved racetrack shaped coils and a transducer connector.

公开(公告)号：US12187632B2

公开(公告)日：2025-01-07

申请号：US17766175

申请日：2021-10-29

Applicant: Beijing University of Technology

Inventor： Dan Cui ,  Chen Lu ,  Zi'en Tang

IPC: C02F3/00 ,  C02F3/28 ,  C02F101/16 ,  C02F101/30

Abstract: The disclosure discloses a method for enhancing denitrification of sewage with a low carbon-to-nitrogen ratio by using an electrode biocarrier, and relates to the field of sewage treatment. The disclosure uses a conductive material as a microbial carrier and a potentiostat to induce a micro-electric field for directional acclimation and enrichment of electroactive denitrification microorganisms, and realizes a high-efficiency denitrification of the sewage with a low carbon-to-nitrogen ratio. The disclosure aims to provide a technical method for solving the problem of deep denitrification of municipal sewage with a low carbon-to-nitrogen ratio.

公开(公告)号：US20240419872A1

公开(公告)日：2024-12-19

申请号：US18727294

申请日：2023-04-26

Applicant: Beijing University of Technology

Inventor： Jian TANG ,  Heng XIA ,  CanLin CUI ,  Junfei QIAO

IPC: G06F30/27 ,  G06F111/10

Abstract: The invention provides a soft measurement method for dioxin emission of grate furnace MSWI process based on simplified deep forest regression of residual fitting mechanism. The highly toxic pollutant dioxin (DXN) generated in the solid waste incineration process is a key environmental index which must be subjected to control. The rapid and accurate soft measurement of the DXN emission concentration is an urgent affair for reducing the emission control of the pollutants. The method comprises the following steps: firstly, carrying out feature selection on a high-dimensional process variable by adopting mutual information and significance test; then, constructing a simplified deep forest regression (SDFR) algorithm to learn a nonlinear relationship between the selected process variable and the DXN emission concentration; and finally, designing a gradient enhancement strategy based on a residual error fitting (REF) mechanism to improve the generalization performance of a layer-by-layer learning process. The method is superior to other methods in the aspects of prediction precision and time consumption.

公开(公告)号：US12119464B2

公开(公告)日：2024-10-15

申请号：US18507242

申请日：2023-11-13

Applicant: BEIJING UNIVERSITY OF TECHNOLOGY

Inventor： Dean Pan ,  Xiaoguang Zhang ,  Yifan Wang ,  Qijun Zhang ,  Wei Wang

IPC: H01M10/54 ,  C22B1/00 ,  C22B3/08 ,  C22B3/22 ,  C22B3/26 ,  C22B7/00 ,  C22B47/00

CPC classification number: H01M10/54 ,  C22B1/005 ,  C22B3/08 ,  C22B3/22 ,  C22B3/26 ,  C22B7/006 ,  C22B47/00

Abstract: The present invention provides a method for preferentially recovering manganese from waste lithium-rich manganese-based cathode material, the method comprising: step 1) calcination and leaching: mixing the waste lithium-rich manganese-based cathode material with ammonium sulfate and then performing low-temperature calcination, leaching the calcination product with water, and then performing solid-solution separation to obtain a leaching solution; step 2) complexing and manganese separating: adding ammonium sulfite to the leaching solution obtained in step 1) for a complex reaction to obtain manganese-rich residue; step 3) oxidation leaching: adding an oxidant to the manganese-rich residue obtained in step 2) to perform oxidation leaching, and adjusting the pH of the solution to obtain a manganese-rich solution; and step 4) extracting and stripping. The method realizes the preferential and productive recovering of manganese from waste lithium-rich manganese-based cathode materials, avoids the negative impact of polymetals in the conventional recovery process, and has economic and environmental benefits.

公开(公告)号：US12105075B2

公开(公告)日：2024-10-01

申请号：US17472433

申请日：2021-09-10

Applicant: BEIJING UNIVERSITY OF TECHNOLOGY

Inventor： Honggui Han ,  Chenxuan Sun ,  Junfei Qiao

IPC: G06N3/043 ,  C02F1/00 ,  G01N33/18 ,  G06N3/08

CPC classification number: G01N33/1806 ,  G06N3/043 ,  G06N3/08 ,  C02F1/008 ,  C02F2209/16

Abstract: A total nitrogen intelligent detection system based on multi-objective optimized fuzzy neural network belongs to both the field of environment engineer and control engineer. The total nitrogen in wastewater treatment process is an important index to measure the quality of effluent. However, it is extremely difficult to detect the total nitrogen concentration due to the long detection time and the low prediction accuracy in the wastewater treatment process. To solve the problem, multi-objective optimized fuzzy neural network with global optimization capability may be established to optimize the structure and parameters to solve the problem of the poor generalization ability of fuzzy neural network. The experimental results show that total nitrogen intelligent detection system can automatically collect the variables information of wastewater treatment process and predict total nitrogen concentration. Meanwhile, in this system, the detection method can improve the prediction accuracy, as well as ensure the total nitrogen concentration be obtained in real-time and low-cost.

公开(公告)号：US20240302341A1

公开(公告)日：2024-09-12

申请号：US18276179

申请日：2022-10-27

Applicant: BEIJING UNIVERSITY OF TECHNOLOGY

Inventor： Jian TANG ,  Heng XIA ,  Canlin CUI ,  Junfei QIAO

IPC: G01N33/00 ,  G06N20/20

CPC classification number: G01N33/0075 ,  G06N20/20

Abstract: A broad hybrid forest regression (BHFR)-based soft sensor method for DXN emission in a municipal solid waste incineration (MSWI) process, including: based on a broad learning system (BLS) framework, constructing a BHFR soft sensor model for small sample high-dimensional data by replacing a neuron with a non-differential base learner, where the BHFR soft sensor model includes a feature mapping layer, a latent feature extraction layer, a feature incremental layer and an incremental learning layer, and the method includes: mapping a high-dimensional feature; extracting a latent feature from a feature space of a fully connected hybrid matrix, and reducing model complexity and computation consumption based on an information measurement criterion; enhancing a feature representation capacity by training the feature incremental layer based on an extracted latent feature; and constructing the incremental learning layer based on an incremental learning strategy, obtaining a weight matrix with a Moore-Penrose pseudo-inverse, and implementing high-precision modeling.

公开(公告)号：US11971324B2

公开(公告)日：2024-04-30

申请号：US18202953

申请日：2023-05-29

Applicant: BEIJING UNIVERSITY OF TECHNOLOGY

Inventor： Zhaoyao Shi ,  Yanqiang Sun

IPC: G01M13/021

CPC classification number: G01M13/021

Abstract: A method for checking or testing the profile of the path of contact of involute helical cylindrical gears is disclosed. The crossed helical gear transmits motion through the profile of the path of contact, and checking or testing the profile of the path of contact can reflect the transmission quality and working stability of the gear and the actual motion condition. In the gear hobbing, the grinding, the shaving and other generating machining, the movement of tools and gears is achieved based on the profile of the path of contact, and controlling the profile of the path of contact has unique advantages in controlling the quality of gear processing.

公开(公告)号：US11964902B2

公开(公告)日：2024-04-23

申请号：US18389556

申请日：2023-11-14

Applicant: BEIJING UNIVERSITY OF TECHNOLOGY

Inventor： Yufeng Wu ,  Xiaomin Liu ,  Dean Pan

IPC: C03B1/00 ,  C03B19/06 ,  C03B19/10 ,  C03C1/00 ,  C03C10/00

CPC classification number: C03C10/0063 ,  C03B1/00 ,  C03B19/063 ,  C03B19/1045 ,  C03C1/002

Abstract: The invention discloses a method for preparing lead smelting slag glass-ceramics based on the oxidation of silicon-rich silicon smelting slag and composition adjustment, and belongs to the technical field of resource utilization of smelting slag rich in monatomic silicon. The method comprises the steps: mixing the silicon slag rich in monatomic silicon with an oxidant, a fluxing agent and a clarifying agent according to a formula ratio, ball-milling and screening to obtain a tempering raw material with uniform size, and performing high-temperature oxidation melting on the tempering raw material to form an oxidation-state molten tempering material; and carrying out further mixed melting on the molten tempering material and hot lead slag, carrying out water quenching to obtain basic glass, and carrying out heat treatment system on the obtained basic glass to form the glass ceramics. According to the method, the smelting slag rich in monatomic silicon is subjected to oxidation tempering and mixed melting with the hot lead slag to prepare the basic glass, and the glass ceramics are obtained by regulating and controlling the heat treatment system of the basic glass. The method is simple in technological process, high in production efficiency and low in cost, achieves the collaborative high-value conversion target of the silicon-rich silicon slag and the lead slag, and is easy to industrially popularize and apply.

公开(公告)号：US20240109798A1

公开(公告)日：2024-04-04

申请号：US17768668

申请日：2021-07-21

Applicant: Beijing University of Technology

Inventor： Yongzhen PENG ,  Jingang QIU ,  Qiong ZHANG ,  Zhong WANG ,  Hao JIANG ,  Shang REN

IPC: C02F3/30

CPC classification number: C02F3/307 ,  C02F3/303 ,  C02F3/305 ,  C02F2101/163 ,  C02F2209/02 ,  C02F2209/04 ,  C02F2209/06 ,  C02F2209/38

Abstract: Disclosed are a method and device for realizing advanced nitrogen removal of mature landfill leachate and sludge reduction by using sludge fermentation products as carbon source, belonging to the field of biological treatment of sludge of high ammonia nitrogen wastewater. The mature landfill leachate first enters a PNA-SBR, the reactor operates in an anoxic/anaerobic/oxic (A/A/O) mode, denitrification is performed at an anoxic state; then anaerobic ammonia oxidation is performed at an anaerobic stage to remove part of ammonia nitrogen and nitrite nitrogen; partial nitrification is performed at an oxic stage to remove the ammonia nitrogen; discharged water is pumped into a DN-SBR, meanwhile, an excess sludge fermentation mixture is added, the reactor operates in an anoxic/anaerobic/oxic (A/A/O) mode, organic matters in the sludge fermentation mixture are used for denitrification at an anoxic stage, and meanwhile, microorganisms store an inner carbon source; ammonia nitrogen brought by the fermentation mixture is removed at an anaerobic stage; and denitrification is performed through the inner carbon source at an oxic stage. The remarkable sludge reduction effect is achieved while a removal rate of TN achieves 96.0%, and the method and the device are suitable for advanced removal of the high ammonia nitrogen wastewater.