A5074179995- Digital Transformation in Industry
- CO2 Reduction Techniques and Catalysts
- Covalent Organic Framework Applications
- Manufacturing Process and Optimization
- Metal-Organic Frameworks: Synthesis and Applications
- Advanced Photocatalysis Techniques
- Flexible and Reconfigurable Manufacturing Systems
- Ionic liquids properties and applications
- Electrocatalysts for Energy Conversion
- IoT and Edge/Fog Computing
- Industrial Vision Systems and Defect Detection
- Advanced Manufacturing and Logistics Optimization
- Machine Fault Diagnosis Techniques
- Advanced battery technologies research
- Scheduling and Optimization Algorithms
- High Entropy Alloys Studies
- Additive Manufacturing Materials and Processes
- Advanced Surface Polishing Techniques
- Anomaly Detection Techniques and Applications
- Catalytic Processes in Materials Science
- Quality and Safety in Healthcare
- Fault Detection and Control Systems
- Fuel Cells and Related Materials
- Reliability and Maintenance Optimization
- Carbon dioxide utilization in catalysis
Wuhan University of Science and Technology
2022-2025
University of Science and Technology Beijing
2020-2024
Shanghai Huali Microelectronics (China)
2024
Qiqihar Medical University
2024
Imperial College London
2024
Leibniz-Institute for New Materials
2024
National Renewable Energy Laboratory
2024
University of Colorado Boulder
2024
Environmental Energy & Engineering
2024
The University of Adelaide
2024
Due to the current structure of digital factory, it is necessary build smart factory upgrade manufacturing industry. Smart adopts combination physical technology and cyber deeply integrates previously independent discrete systems making involved technologies more complex precise than they are now. In this paper, a hierarchical architecture was proposed first, then key were analyzed from aspects resource layer, network data application layer. addition, we discussed major issues potential...
Due to the development of modern information technology, emergence fog computing enhances equipment computational power and provides new solutions for traditional industrial applications. Generally, it is impossible establish a quantitative energy-aware model with smart meter load balancing scheduling optimization in factory. With focus on complex energy consumption problems manufacturing clusters, this paper proposes an (ELBS) method based computing. First, related workload established...
The rapid development in synthesis methodology and applications for covalent organic frameworks (COFs) has been witnessed recent years. However, the of highly stable functional COFs still remains a great challenge. Herein two-dimensional polyimide-linked phthalocyanine (denoted as CoPc-PI-COF-1 CoPc-PI-COF-2) have devised prepared through solvothermal reaction tetraanhydrides 2,3,9,10,16,17,23,24-octacarboxyphthalocyaninato cobalt(II) with 1,4-phenylenediamine 4,4′-biphenyldiamine,...
Edge computing extends the capabilities of computation, network connection, and storage from cloud to edge network. It enables application business logic between downstream data service upstream Internet Things (IoT). In field Industrial IoT, provides added benefits agility, real-time processing, autonomy create value for intelligent manufacturing. With focus on concept computing, this article proposes an architecture IoT-based also analyzes role four aspects including equipment,...
Synthesis of functional 3D COFs with irreversible bond is challenging. Herein, imide-bonded were constructed via the imidization reaction between phthalocyanine-based tetraanhydride and 1,3,5,7-tetra(4-aminophenyl)adamantine. These two are made up interpenetrated pts networks according to powder X-ray diffraction gas adsorption analyses. CoPc-PI-COF-3 doped carbon black has been employed fabricate electrocatalytic cathode towards CO2 reduction within KHCO3 aqueous solution, displaying...
Post-modification of robust guanine-quadruplex-linked 2,2'-pyridine-containing HOF-25 with Ni(ClO4 )2 ⋅ 6 H2 O followed by exfoliation using sonication method affords hydrogen-bonded organic framework (HOF) nanosheets (NSs) HOF-25-Ni in the yield 56 %. TEM and AFM technologies disclose ultrathin nature NSs thickness 4.4 nm. STM observation determines presence sql segments assembled from building blocks at heptanoic acid/highly oriented pyrolytic graphite interface, supporting simulated 2D...
The cyber-physical production system (CPPS), which combines information communication technology, cyberspace virtual and intelligent equipment is accelerating the path of Industry 4.0 to transform manufacturing from traditional intelligent. Industrial Internet Things integrates key technologies industrial communication, computing, control, providing a new way for wide range resources optimize management dynamic scheduling. In this article, OLE process control software defined network,...
Abstract Herein, an active catalyst A‐Ni@CMK is developed with the atomically dispersed NiN 4 moieties on mesoporous carbon for electrocatalytic CO 2 reduction reaction (CO RR) through a step‐by‐step pore‐filling synthetic strategy. Concretely, as‐synthesized exhibits outstanding catalytic performance RR in H‐cell Faradaic efficiency of (FE ) > 80% wide electrochemical potential window (−0.5 to −0.9 V vs RHE) and large partial current density ( j 24 51 mA cm −2 at −0.6 −0.8 versus RHE,...
The resurgence of visible light photocatalysis for carbon dioxide reduction reaction (CO2RR) has resulted in the generation various homogeneous and heterogeneous paradigms. Herein, a new system been established by incorporating dual catalytic sites into porous coordination polymer toward CO2RR. A functional ligand, 5,10,15,20-tetrakis[4'-(terpyridinyl)phenyl]porphyrin (TTPP), used to assemble discrete divalent nickel ions (TTPP-Ni) through metal bis(terpyridine) nodes. Both porphyrin...
Computer-integrated manufacturing is a notable feature of Industry 4.0. Integrating machine learning (ML) into edge intelligent Industrial Internet Things (IIoT) key enabling technology to achieve IIoT. To realize novel applications edge-enhanced IIoT, ML methods are proposed improve the cognitive ability IIoT in this article. First, an ML-enabled framework proposed. Second, presented enhance including model data-driven and reasoning, coordination with methods. Finally, focus on...
With the deep integration of cyber physical production systems in era Industry 4.0, smart workshop dramatically increases amount data collected by device. A key factor achieving manufacturing is to use analysis methods for evaluating equipment reliability and supporting predictive maintenance equipment. Based on these insights, this paper proposes a learning-based approach that uses time series analysis. First, framework TensorFlow-enabled neural networks (DNN) model presented. Secondly,...
Assemblies that mimic natural lipid bilayers are theoretically efficient for photocatalytic CO2 reduction; however, such an approach has not been yet explored. Herein, metallogels (LG/Nico-Co) based on the co-assembly of L-glutamic acid (LG/Nico) and cobalt ions exhibited excellent reduction, with 208 724 μmol g-1 CO production within 24 h 90 % CO/H2 selectivity, or 166 826 12 46 depending water content solvent. The alkyl chains LG/Nico provide a hydrophobic microenvironment gas transfer,...
Direct electrochemical conversion of CO2 to CO product powered by renewable electricity is widely advocated as an emerging strategy for alleviating emissions while addressing global energy issues. However, the development low-cost and efficient electrocatalysts with high Faradaic efficiency production (FECO ) current density remains a grand challenge. Herein, robust single nickel atomic site electrocatalyst, which features isolated dense NiN3 sites anchored on highly defective...
Abstract Selective electrochemical CO 2 reduction reaction (CO RR) into value‐added hydrocarbon products such as C H 4 provides a sustainable approach to producing carbon chemicals, which however remains great challenge owing the multi‐electron transfer process during electroreduction. Herein, tandem catalyst a‐Ni/Cu‐NP@CMK is developed by encapsulating Cu nanoparticles (Cu NPs) hydrophobic cubic mesoporous with doped atomic Ni‐N moieties. Electrochemical tests demonstrate outstanding...
Abstract Atomically dispersed Co‐N 4 ‐based catalysts have been recently emerging as one of the most promising candidates for facilitating CO 2 reduction reaction (CO RR). The local electronic environment sites in these is considered to play a critical role adjusting catalytic performance, effort which however not yet clearly verified. Herein, series cobalt phthalocyanines with different peripheral substituents including unsubstituted phthalocyanine Co(II) (CoPc),...
Abstract Synthesis of functional 3D COFs with irreversible bond is challenging. Herein, imide‐bonded were constructed via the imidization reaction between phthalocyanine‐based tetraanhydride and 1,3,5,7‐tetra(4‐aminophenyl)adamantine. These two are made up interpenetrated pts networks according to powder X‐ray diffraction gas adsorption analyses. CoPc‐PI‐COF‐3 doped carbon black has been employed fabricate electrocatalytic cathode towards CO 2 reduction within KHCO 3 aqueous solution,...
The as-prepared TPPDA-CoPor-COF shows high CO faradic efficiencies of 87–90% from −0.6 to −0.9 V vs. RHE, and the largest partial current density exceeds most reported COF-based electrocatalysts.
In the wind turbine remote fault diagnosis, sensor data is susceptible to low-quality phenomena such as missing and damaged due communication delays, environmental noise, faults. These issues decrease accuracy of diagnostic models, necessitating a solution enhance model robustness under non-ideal conditions. Hence, robust scheme based on adaptive noise filtering useful feature-domain enhancement (UFDE) proposed in this paper improve stability performance. An interference identification...