公开(公告)号：US20220326667A1

公开(公告)日：2022-10-13

申请号：US17625690

申请日：2019-07-19

Applicant: Northeastern University

Inventor： Jinliang DING ,  Changxin LIU ,  Depeng XU ,  Tianyou CHAI

IPC: G05B13/04 ,  C01F7/02

Abstract: Provided is an aluminum oxide production operation optimization system and method based on a cloud-edge collaboration, which relates to the technical field of an aluminum oxide production operation optimization. According to the system and method, firstly the whole-flow data in the aluminum oxide production process is acquired, the data is pre-processed, then the pre-processed data is transmitted to a local collaboration production operation optimization unit, the local collaboration production operation optimization unit firstly judges working conditions for the current aluminum oxide production process, an optimization strategy needing to be operated at present is automatically switched according to the working condition, and the local operation optimization strategy obtains the actual setting value of the aluminum oxide production operation indexes.

公开(公告)号：US20220083839A1

公开(公告)日：2022-03-17

申请号：US17309942

申请日：2020-07-21

Applicant: NORTHEASTERN UNIVERSITY

Inventor： Tianyou CHAI ,  Yao JIA ,  Liangyong WANG

IPC: G06N3/04 ,  G01N33/00 ,  G06F17/17

Abstract: Disclosed is an accuracy compensation method for discharge caustic alkali concentration measuring device in evaporation process, comprising following steps: step 1. collecting process data of instrument values and laboratory values of alkali liquor diopter, temperature and caustic alkali concentration in the evaporation process; step 2. performing sliding average filtering, time series matching and normalization on the process data collected in step 1 to obtain preprocessed process data; step 3. inputting the preprocessed process data into an accuracy compensation model of the caustic alkali concentration measuring device to obtain compensation values; step 4. adding the compensation values of the caustic alkali concentration to the instrument values to realize on-line compensation of the caustic alkali concentration. The disclosed can accurately compensate the concentration value measured by the on-line instrument, and the compensated concentration value can follow the actual change trend; moreover, the measurement accuracy can meet the needs of actual production.

公开(公告)号：US20160364649A1

公开(公告)日：2016-12-15

申请号：US15107013

申请日：2015-11-30

Applicant: NORTHEASTERN UNIVERSITY

Inventor： Jinliang DING ,  Changxin LIU ,  Tianyou CHAI ,  Lun GAO

IPC: G06N5/04 ,  G05B19/05

CPC classification number: G06N5/045 ,  B03B13/00 ,  B03C1/00 ,  B03D1/028 ,  B03D2203/02 ,  B07B13/18 ,  G05B13/04 ,  G05B17/02 ,  G05B19/05 ,  G05B19/41885 ,  G05B2219/13018

Abstract: Provided is an optimized decision-making system for multiple ore dressing production indexes based on a cloud server and mobile terminals, including mobile intelligent terminals, a cloud server, a mobile industrial private cloud server, a collecting computer and process controllers PLC or DCS. The mobile industrial private cloud server calculates out multiple decision-making result solution sets; the intelligent mobile terminals determine the final decision-making results; the mobile industrial private cloud server calculates out process control set values; the mobile intelligent terminals determine the final process control set values; and the process controllers PLC or DCS control equipment on a production line for production according to the final process control set values. The present invention further provides an optimized decision-making method for multiple ore dressing production indexes adopting the optimized decision-making system.

Abstract translation: 提供了基于云服务器和移动终端，包括移动智能终端，云服务器，移动工业私有云服务器，收集计算机和过程控制器PLC或DCS的多种选矿生产指标的优化决策系统。 移动工业私有云服务器计算出多个决策结果解决方案集; 智能移动终端确定最终决策结果; 移动工业私有云服务器计算过程控制集值; 移动智能终端确定最终过程控制设置值; 以及过程控制器PLC或DCS控制设备在生产线上根据最终过程控制设置值进行生产。 本发明进一步提出采用优化决策系统的多选矿生产指标优化决策方法。

公开(公告)号：US20220309393A1

公开(公告)日：2022-09-29

申请号：US17597189

申请日：2019-07-18

Applicant: Northeastern University

Inventor： Changxin LIU ,  Ning YUAN ,  Jinliang DING ,  Tianyou CHAI

IPC: G06N20/00 ,  G06K9/62 ,  G06Q10/04

Abstract: Provided is a cloud-edge collaboration forecasting system and method for aluminum oxide production indexes. The forecasting system performs forecasting algorithm selection, parameter configuration and model training on indexes and variables of the aluminum oxide production process at a cloud model training server, performs evaluation and parameter correction on the trained model to obtain an optimal training model, and pre-processes the data in the aluminum oxide production process at an aluminum oxide production index forecasting computer at an edge end. The trained model parameters are imported from the cloud, and further the trained forecasting model is used for forecasting aluminum oxide production indexes for different production processes. The forecasting system and method can provide powerful calculating resources by training an aluminum oxide production index forecasting model through the cloud model training server, and real-time convenient aluminum oxide production index forecasting through the computer at the edge end.

公开(公告)号：US20210192272A1

公开(公告)日：2021-06-24

申请号：US16955490

申请日：2019-07-17

Applicant: Northeastern University

Inventor： Changxin LIU ,  Depeng XU ,  Jinliang DING ,  Tianyou CHAI

IPC: G06K9/62 ,  G06K9/66 ,  G06N3/04 ,  G06N3/08 ,  G06Q10/06 ,  G06Q50/04 ,  G06Q10/04 ,  C01F7/02 ,  C22B21/00

Abstract: The invention provides a decision-making method of comprehensive alumina production indexes based on a multi-scale deep convolutional network. The method mainly consists of several sub-models: a multi-scale deep splicing convolutional neural network prediction sub-model reflecting the influence of bottom-layer production process indexes on the comprehensive alumina production indexes, a full connecting neural network prediction sub-model reflecting the influence of upper-layer dispatching indexes on the comprehensive alumina production indexes, a full connecting neural network prediction sub-model reflecting the influence of the comprehensive alumina production indexes at a past time on current comprehensive alumina production indexes, and a multi-scale information neural network integrated model for collaborative optimization of sub-model parameters. According to the method, through an integrated prediction model structure, a memory capacity of a superficial-layer network and a feature extraction capacity of a deep-layer network, a precise decision-making for the comprehensive alumina production indexes is realized.

公开(公告)号：US20210096544A1

公开(公告)日：2021-04-01

申请号：US16956286

申请日：2019-07-18

Applicant: Northeastern University

Inventor： Jinliang DING ,  Changxin LIU ,  Ning YUAN ,  Tianyou CHAI

IPC: G05B19/418 ,  G06N5/02 ,  C25D5/44

Abstract: A multi-scale data acquiring and processing device and method for an aluminum oxide production process. The device includes a production index and variable configuring module, a data acquiring module, a data storing module, a main control module, a display module, a data processing module and a data transmitting module. The main control module is used for emitting a command, acquiring production indexes and variables generated in the aluminum oxide production process by different process control devices, and is used for performing unified processing, storage and display on the data, and further the data is transmitted through a transmitting module to systems or devices using the data.

公开(公告)号：US20170315163A1

公开(公告)日：2017-11-02

申请号：US15528747

申请日：2015-12-03

Applicant: Northeastern University

Inventor： Liangyong WANG ,  Jie YANG ,  Tianyou CHAI ,  Shaowen LU

IPC: G01R21/133

CPC classification number: G01R21/133 ,  G01R19/2516 ,  G01R21/06

Abstract: A remote monitoring system and method for electricity demand of a fused magnesium furnace group. The system has a data acquisition device, a local PC, a cloud server and a remote PC. The data acquisition device has a voltage transformer, a current transformer, an active power transducer, a first slave computer, a plurality of multi-purpose electronic measuring instruments and a second slave computer. The method includes acquiring smelting current and smelting power of each fused magnesium furnace and electricity demand of the furnace group, controlling the switch off/on of each fused magnesium furnace according to the smelting current and the smelting power of each fused magnesium furnace and the electricity demand of the furnace group, sending basic monitoring data to the local PC, and achieving data exchange between the local PC and the remote PC through the Zookeeper technology.