DEVICE AND METHOD FOR REFINING ETHANOL

    公开(公告)号:US20250091974A1

    公开(公告)日:2025-03-20

    申请号:US18963493

    申请日:2024-11-28

    Abstract: A device for refining ethanol is disclosed, which includes a fermentation unit, a low-pressure column, a medium-pressure column, a high-pressure column and a membrane separation unit. A method for refining ethanol is disclosed, which specifically includes the following steps: after fermenting the biomass feedstock, feeding fermented mash into a low-pressure column and a high-pressure column which are connected in parallel for refining, mixing two column top distillates, and feeding the mixed column top distillates into a medium-pressure column for further rectification; and purifying the refined ethanol vapor with higher purity obtained after rectification in the medium-pressure column by a membrane separation unit to obtain high-concentration ethanol product vapor. The disclosure couples the differential pressure rectification and the membrane separation unit, adjusts the energy network structure, greatly reduces the vapor usage amount of the whole system, and has the advantages of good separation effect, high product quality and the like.

    Multi-machining robot collaboration method in flexible hardware production workshop

    公开(公告)号:US12253861B2

    公开(公告)日:2025-03-18

    申请号:US18097833

    申请日:2023-01-17

    Abstract: A multi-robot collaboration method in a flexible hardware production workshop is provided, by which allocation of workpiece machining tasks and transfer of workpieces in different workstations can be achieved and meanwhile relatively high calculation cost is avoided. According to the method, a distributed collaboration method is fully used, and in allusion to the current technical condition, the allocation of the workpiece machining tasks and the transfer of the workpieces in different workstations can be achieved and meanwhile the relatively high calculation cost is avoided. A multi-AGV path conflict eliminating method is used for avoiding possible collision of AGVs during movement. A centralized intervention and adjustment method is used for discovering and predicting system conflicts and failure problems and making timely dispatching and adjustment so as to improve the automation level and the flexibility level of a hardware workshop.

    LATERAL GATE-ALL-AROUND TRANSISTORS, THREE-DIMENSIONAL INTEGRATED CIRCUIT, AND MANUFACTURING METHOD THEREOF

    公开(公告)号:US20240405089A1

    公开(公告)日:2024-12-05

    申请号:US18798337

    申请日:2024-08-08

    Abstract: Vertically superimposed lateral gate-all-around metal-oxide-semiconductor field-effect transistors are provided, a structure of a novel three-dimensional integrated circuit such as a CMOS logic circuit that is composed of the vertically superimposed lateral gate-all-around transistors, a random-access memory and the like, and a manufacturing method for the novel three-dimensional integrated circuit are provided. The manufacturing method for the vertically superimposed lateral gate-all-around transistors includes: first preparing a monolayer channel and a source/drain, then protected with a sacrificial layer; preparing an insulating isolation layer, preparing above repeated structures on the insulating isolation layer; preparing an insulating spacer layer between the source/drain and a gate of each of the layers, a gate oxide, a gate, and a source/drain electrode in a unified manner, and finally preparing a connecting wire connected to the outside. The novel three-dimensional integrated circuit can be implemented by connecting the lateral gate-all-around transistors by means of a wire.

    Large-scale dynamic double-effect scheduling method for flexible job shop based on genetic programming

    公开(公告)号:US12099346B1

    公开(公告)日:2024-09-24

    申请号:US18648438

    申请日:2024-04-28

    CPC classification number: G05B19/41845 G05B13/0265 G05B13/04

    Abstract: Disclosed is a large-scale dynamic double-effect scheduling method for a flexible job shop based on genetic programming (GP). In a GP implementation process of the present disclosure, in addition to features related to workpieces, processing robots and automated guided vehicles (AGVs), such as processing time of working procedures and buffer area waiting time, features of a ratio of processing time to transfer time and a ratio of processing energy consumption to transfer energy consumption are also added in a terminal set to cause job shop environment features to be more comprehensively applied to a scheduling rule design, thereby automatically designing a more consistent and accurate scheduling rule. A double-effect scheduling rule of the present disclosure overcomes the shortcomings of slow convergence speed, difficulty in rapid corresponding changes and unfit scheduling rules, and can quickly produce a more efficient and energy-saving production scheduling scheme.

    METHOD AND SYSTEM FOR DIAGNOSING LEAKAGE IN HYDROGEN SYSTEM FOR VEHICLE, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20240309999A1

    公开(公告)日:2024-09-19

    申请号:US18605923

    申请日:2024-03-15

    CPC classification number: F17C13/025 G01M3/3272 G06V10/82 F17C2260/038

    Abstract: The present disclosure provides a method and system for diagnosing a leakage in a hydrogen system for a vehicle, an electronic device, and a storage medium. The method includes: obtaining data of a hydrogen cylinder gas pressure of a fuel cell vehicle; separately performing Gramian angular field transformation and Markov transition field transformation on the pressure data, to obtain static and dynamic feature information; performing, by a static feature LeNet neural network, recognition based on the static feature information, to obtain a probability output of the static feature LeNet neural network; performing, by a dynamic feature LeNet neural network, recognition based on the dynamic feature information, to obtain a probability output of the dynamic feature LeNet neural network; and performing fusion through a Dempster-Shafer (D-S) evidence theory based on the probability output of the static and dynamic feature LeNet neural network, to obtain an excellent hydrogen leakage diagnosis result.

    FLEXIBLE JOB-SHOP SCHEDULING METHOD AND SYSTEM AND ELECTRONIC DEVICE

    公开(公告)号:US20240288855A1

    公开(公告)日:2024-08-29

    申请号:US18215266

    申请日:2023-06-28

    CPC classification number: G05B19/41865 G05B19/4183

    Abstract: The present disclosure provides a flexible job-shop scheduling method and system and an electronic device. The method according to the present disclosure includes: randomly generating a plurality of flexible job-shop environments in a production job-shop according to a preset production target; constructing a scheduling strategy model of the production job-shop based on a Markov decision process; optimizing a feature extraction network, an actor network and a critic network simultaneously by using the scheduling strategy model and a plurality of data sets, and determining a scheduling plan corresponding to a maximum completion time as an optimal scheduling plan after the completion of the optimization; and completing the preset production target based on the optimal scheduling plan. According to the present disclosure, feature extraction is performed on the plurality of job-shop environments to generate a scheduling scheme, so as to improve the efficiency and rationality of flexible job-shop scheduling.

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