Device and method for enhancing nitrogen and phosphorus removal based on multistage AO partial denitrification coupled with anammox in combination with sludge hydrolytic acidification

    公开(公告)号:US12221370B2

    公开(公告)日:2025-02-11

    申请号:US17642146

    申请日:2021-07-21

    Abstract: A device and method for enhancing nitrogen and phosphorus removal based on a multistage AO partial denitrification coupled with Anammox process in combination with a sludge hydrolytic acidification mixture belong to the technical field of active sludge method wastewater treatment. A system includes a water tank, a water pump, a biochemical reaction zone, a hydrolytic acidification tank and other devices. A multistage AO step-feed pipeline is used to inject raw water into the reaction zone in a segmented manner, guaranteeing efficient utilization of organic matter in the raw water; biofilm carriers are added into an anaerobic zone and anoxic zones to enrich anammox bacteria, and nitrite nitrogen produced by partial denitrification provides a substrate for the anammox bacteria to realize autotrophic nitrogen removal; a nitrification and phosphorus accumulating bacteria aerobic phosphorus uptake are performed in aerobic zones; and part of excess sludge in a secondary sedimentation tank enters the hydrolytic acidification tank to convert macromolecular organic matter into low molecular weight organic matter, a hydrolytic acidification mixture and the excess sludge in the secondary sedimentation tank synchronously flow back to the anaerobic zone, and as a high-quality carbon source, the low molecular weight organic matter can promote partial denitrification. The system provides a novel method for efficient and energy-saving treatment of municipal wastewater.

    INTELLIGENT OPERATIONAL OPTIMIZATION METHOD IN MUNICIPAL SOLID WASTE INCINERATION PROCESS

    公开(公告)号:US20250045489A1

    公开(公告)日:2025-02-06

    申请号:US18796867

    申请日:2024-08-07

    Abstract: Provided is an intelligent operational optimization method in the municipal solid waste incineration process, which belongs to both the field of municipal solid waste treatment and the field of intelligent optimization. The method includes: constructing a sample data set by collecting historical data in the municipal solid waste incineration process; with optimization objectives of nitrogen oxide emissions and combustion efficiency, establishing an SORBF neural network-based indicator model to characterize the mapping relationship between operational variables and optimization objectives in the municipal solid waste incineration process; and setting the established indicator model as evaluation functions of a multi-objective optimization algorithm, and obtaining optimal setting values of the operational variables by the multi-objective particle swarm optimization algorithm, so as to improve combustion efficiency while reducing concentrations of nitrogen oxide emissions.

    Evaluation method for ecological performance of asphalt-related material

    公开(公告)号:US12216108B2

    公开(公告)日:2025-02-04

    申请号:US18736581

    申请日:2024-06-07

    Abstract: An evaluation method for ecological performance of an asphalt-related material is provided. Firstly, working condition parameters are determined for evaluating the ecological performance of the asphalt-related material; secondly, based on the working condition parameters, a simulation test is performed on emission of asphalt-related pollutants during a preparation stage of the asphalt-related material; finally, based on a result of the simulation test, a quantitative evaluation of the ecological performance of the asphalt-related material is performed under different environmental impacts. The evaluation method is a laboratory scale simulation method based on measured pollutant emissions and various environmental impact factors, ultimately achieving laboratory scale ecological performance evaluation of the asphalt-related material, which has important reference value for green material selection of asphalt pavement.

    COOPERATIVE TRANSMISSION METHOD BASED ON ADAPTIVE TERMINAL AGGREGATION

    公开(公告)号:US20250038904A1

    公开(公告)日:2025-01-30

    申请号:US18539322

    申请日:2023-12-14

    Abstract: A cooperative transmission method based on adaptive terminal aggregation includes arranging a base station, several mobile terminals and several cooperative nodes, and further includes the following steps: S1, judging an aggregation form by a judgment node according to the quality of the first link and the quality of the second link; S2, based on a control signaling received from the base station, transmitting business data to the base station by a mobile terminal at the first-time point and within a specific resource; and S3, if the aggregation form is the cooperative node transmission, monitoring the business data transmitted via the mobile terminal at the first-time point in S2 by one or several cooperative nodes and decoding the business data. By dynamically adjusting the values of the first regulatory factor and the second regulatory factor, the adaptive terminal aggregation form with the lower energy-delay product for each user is selected.

    Intelligent early warning method of membrane fouling

    公开(公告)号:US12187633B2

    公开(公告)日:2025-01-07

    申请号:US16551297

    申请日:2019-08-26

    Abstract: To solve problems of frequent occurrence and great harm of membrane fouling during MBR wastewater treatment process, the invention proposes a membrane fouling intelligent early warning method to realize online and accurate early warning of membrane fouling. This early warning method achieves accurate prediction of water permeability by constructing soft-computing model based on recurrent fuzzy neural network. The intelligent early warning of membrane fouling is achieved by the comprehensive evaluation method, which solves the problem that membrane fouling is difficult to be early warning in the MBR wastewater treatment process, improves the pretreatment ability of membrane fouling, reduces the damage caused by membrane fouling, ensures the safe operation of MBR wastewater treatment process, and promotes efficient and stable operation of MBR wastewater treatment plant.

    Data-knowledge-driven Approach for Optimal Control of Wastewater Treatment Processes

    公开(公告)号:US20240425397A1

    公开(公告)日:2024-12-26

    申请号:US18827659

    申请日:2024-09-06

    Abstract: A data-knowledge driven multi-objective optimal control method for municipal wastewater treatment process belongs to the field of wastewater treatment. To balance the energy consumption and effluent quality, a data driven multi-objective optimization model, including energy consumption model and effluent quality model are established to obtain the nonlinear relationship along energy consumption, effluent quality and manipulated variables. Meanwhile, a multi-objective particle swarm optimization algorithm, based on evolutionary knowledge, is proposed to optimize the set-points of nitrate nitrogen and dissolved oxygen. Moreover, the proportional integral differential (PID) controller is designed to track the set-points. Then the effluent quality can be improved and the energy consumption can be reduced.

    In-situ ultrasonic method for detecting the state of charge in soft-packaged lithium-ion batteries

    公开(公告)号:US20240361394A1

    公开(公告)日:2024-10-31

    申请号:US18650083

    申请日:2024-04-30

    Abstract: The present invention discloses a method for in-situ detection of the state of charge (SOC) of pouch-type lithium-ion batteries using ultrasonic guided waves. The invention involves attaching two circular piezoelectric patches symmetrically at a fixed distance from each other on the surface of the lithium-ion battery using a coupling agent. A function generator is controlled to produce a Hanning-window-modulated five-cycle sine signal to excite the circular piezoelectric patch located on the left side of the battery, generating ultrasonic guided waves within the battery. These waves are then received by the circular piezoelectric patch located on the right side of the battery. The received guided wave signal is processed to extract the time-domain characteristic parameters of the wave (transit time). Based on the correspondence between the guided wave characteristic parameters (transit time) and the state of charge, the method enables the detection of the SOC of the pouch-type lithium-ion battery. The invention employs a pair of circular piezoelectric patches in a one-actuation, one-reception manner for the detection of lithium-ion batteries, achieving in-situ detection of the SOC of pouch-type lithium-ion batteries without the need to record external parameters such as current and voltage.

    Prefetch-adaptive intelligent cache replacement policy for high performance

    公开(公告)号:US12093188B2

    公开(公告)日:2024-09-17

    申请号:US17719304

    申请日:2022-04-12

    CPC classification number: G06F12/12 G06F9/30043 G06F9/3816 G06F9/5044

    Abstract: The invention discloses a prefetch-adaptive intelligent cache replacement policy for high performance, in the presence of hardware prefetching, a prefetch request and a demand request are distinguished, a prefetch predictor based on an ISVM (Integer Support Vector Machine) is used for carrying out re-reference interval prediction on a cache line of prefetching access loading, and a demand predictor based on an ISVM is utilized to carry out re-reference interval prediction on a cache line of demand access loading. A PC of a current access load instruction and PCs of past load instructions in an access historical record are input, different ISVM predictors are designed for prefetch and demand requests, reuse prediction is performed on a loaded cache line by taking a request type as granularity, the accuracy of cache line reuse prediction in the presence of prefetching is improved, and performance benefits from hardware prefetching and cache replacement is better fused.

    Near-infrared spectroscopy tomography reconstruction method based on neural network

    公开(公告)号:US12089917B2

    公开(公告)日:2024-09-17

    申请号:US16620860

    申请日:2018-12-21

    Abstract: The present disclosure disclose a near-infrared spectroscopy tomography reconstruction method based on neural network which belongs to the field of medical image processing. In the Boltzmann radiation transmission equation, transmission process of light is regarded as absorption and scattering process of photons in medium, and interaction between light and tissue is determined by absorption coefficient, scattering coefficient and phase function of the response scattering distribution. In the transmission, only the particle property of light is taken into account, not the fluctuation of light. Therefore, polarization and interference phenomena related to the fluctuation of light are not considered, and only the energy transmission of light is tracked. The reconstruction method based on BP neural network is used to reconstruct the distribution of optical absorption coefficient, reconstruction results of absorption coefficient distribution can be obtained by calculation. This method can not only reconstruct the absorption coefficient distribution accurately, but also has high computational efficiency.

    METHOD FOR TREATING MIDDLE AND MATURE LANDFILL LEACHATE BY ENDOGENOUS DENITRIFICATION COMBINED AUTOTROPHIC NITROGEN REMOVAL PROCESS

    公开(公告)号:US20240208846A1

    公开(公告)日:2024-06-27

    申请号:US17919919

    申请日:2021-10-29

    CPC classification number: C02F3/307 C02F2103/06 C02F2209/06

    Abstract: A method for treating middle and mature landfill leachate by endogenous denitrification combined autotrophic nitrogen removal process, which belongs to a field of biological treatment of high-ammonia-nitrogen wastewater. The middle and mature landfill leachate firstly enters a PN/ED-SBR reactor to perform in an A/O (anaerobic/aerobic) mode, microorganisms in an anaerobic stage absorb an external carbon source and store the external carbon source as an intracellular carbon source, partial nitrification is performed in the aerobic stage, and the ammonia nitrogen in inlet water is completely oxidized into nitrite nitrogen; after the reaction is finished, an effluent containing nitrite nitrogen and middle and mature landfill leachate are mixed and then enter an AMOX-UASB reactor to perform anammox reaction, the effluent of the reactor is pumped into the PN/ED-SBR reactor again to perform in the anoxic mode, and oxidized nitrogen is removed through endogenous denitrification.

Patent Agency Ranking