Guangdong University of Petrochemical Technology

South China University of Technology

Beijing University of Chemical Tehcnology

Jiaxing Beihua Polymer Additives Co., Ltd.

Beijing Red Avenue Innova Co., Ltd.

Qinghua Zhang

Jing Huang

Junfeng Zhao

Yong Wang

Haifeng Wang

Shaolin Hu

Ye Ke

Chenglin Wen

Liqun Zhang

Qirui Li

Dong Dong

Jieguang He

Delong Cui

Zhiping Peng

Zhaolin Yin

Jinbo Qiu

Xinchen Zhu

Guo Xie

Man Xie

Wenzhuo Chen

Qiliang Guo

Wenqiang Jiang

Gaowei Lei

Minli Sun

Yonglai Lu

Zhenghai Tang

Baochun Guo

Xihai Deng

Gongyi Fu

Yuanhong Mao

Disclosed is an autonomous mining method of industrial big data based on model sets, which comprises the following steps: S, building model sets and a mining engine based on domain knowledge and structural characteristics of multi-source heterogeneous data; S, carrying out data sampling on the multi-source heterogeneous data, and counting the fault-tolerant estimation of random error variance; S, mining data sets by using the mining engine, and determining the optimal fault-tolerant model of each sampled data sequence and the optimal fault-tolerant estimation of model parameters; S, performing goodness-of-fit statistics calculation and VV&A test by using the optimal fault-tolerant model; S, acquiring data model representation and connotation knowledge based on model clustering. The method can realize the automation of the mining process of big data, the integration of associated knowledge, the expansion of model sets, the integration of mining and modeling and the optimization of mining results.

Autonomous mining method of industrial big data based on model sets

A convenient swing monitoring method and device for skyscrapers is provided. The method firstly designs a building monitoring network based on multi-mode integrated navigation receivers by adopting a vertically distributed three-layer three-dimensional mesh layout, then determines a maximum deviation, maximum inclination angle and maximum inclination azimuth of a building structure, constructs a high-fidelity fault-tolerant filter with anti-outlier effects, draws curves changing with time of structural deformation variables of the building structure, and finally judges whether the building structure has abnormal changes in line with relevant international and domestic building safety standards. The perception and warning of the collapse risk of super-high building structures can be effectively realized, the risk perception ability of skyscraper disasters is improved, and the influence of various factors on the safety of super-high buildings can be accurately monitored, analyzed and evaluated, so as to prevent risks beforehand.

Convenient monitoring method and system for swing collapse risk of skyscrapers

The edge-cloud collaboration platform for intelligent coking monitoring of cracking furnace tubes includes an edge layer and a cloud layer, which can store and analyze big data, propose suggestions on optimization and improvement, and feed the suggestions back to the edge layer. The edge layer includes an intelligent temperature measuring device for an outer surface of a cracking furnace tube and/or an ethylene DCS/data acquisition device; the cloud layer includes a cracking furnace safety warning device, an intelligent coking diagnosis and prediction device for a cracking furnace tube, a hybrid job scheduling device, a multi-workflow scheduling device, a virtualized resource scheduling device, and a virtual resource optimization device; and the intelligent temperature measuring device for an outer surface of a cracking furnace tube includes an identification device for furnace tube and overlapped tube, and an abnormal data detection device.

Edge-cloud collaboration platform for intelligent coking monitoring of cracking furnace tubes and working method thereof

The present invention discloses a method for preparing high-performance tread rubber through a filler silylation reaction catalyzed in situ by an ionic liquid. The method is as follow: adding a gum rubber, a filler, a silane and an ionic liquid successively into an open mill or an internal mixer for mixing to obtain a rubber compound; high-temperature remilling the rubber compound; adding a vulcanizing package and an anti-aging agent into the remilled rubber compound at room temperature; and vulcanizing the rubber compound to obtain a vulcanized rubber.

Method for preparing high performance tread rubbers through filler silylation reaction catalyzed in situ by ionic liquids

Growing community of inventors

Guangdong, China

Qinghua Zhang