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Research Interests

I. Main direction of studying

The development of Internet of Things technology relies on technical support systems such as communications, computing, control, sensing, and digital sea (C3SD). The school of Internet of Things Engineering of Jiangnan University relies on its existing professional and faculty teams. The research directions related to the Internet of Things technology include:

1. Basic theory and technology of the Internet of Things

This research direction mainly includes the theory of digital physics system, IoT communication protocol and node technology, sensor network architecture, deployment and performance evaluation, information security and privacy, access technology with the Internet, quality service of sensor networks, and multi-sensor information fusion, etc.

2. Internet of Things data management and middleware technology

This research direction mainly includes mass data processing and analysis technologies, data storage, query, mining, analysis and fusion technologies; middleware technologies; software development, testing and evaluation technologies for the Internet of Things, etc.

3. Internet of Things core electronic devices and circuit design

This research direction mainly includes the design and implementation of digital, analog, and RF mixed-signal integrated circuits for system-integrated chips; the development of the related core electronic devices and chip development and integration, etc.

4. Electrical automation and remote monitoring

This research direction mainly includes the distributed large capacity data acquisition and monitoring system based on wireless sensor network; low-voltage electrical faults, intelligent early warning of electrical equipment safety and maintenance, diagnosis and decision-making system; electric power overhaul and inspection intelligent network based on RFID technology; motor nonlinear control theory and methods; new energy transformation and control technologies; information management for small and medium-sized enterprises, etc.

5. Industrial sensing and control

This research direction mainly includes on-line measurement of industrial production process, and the theory and application research of real-time control system theory; distributed sensing and execution unit and system based on wireless network and line field bus; biochemical sensor development; remote monitoring and diagnostic technology; online PAT and application Wait, etc.

6. Intelligent systems and network computing

This research direction mainly includes computer vision, virtual reality; embedded systems, visual and intelligent recognition hardware platforms, key algorithms of embedded machine vision; theory and application of group intelligent computing; control theory and biochemical process control based on computational intelligence; fuzzy artificial intelligence, image processing and pattern recognition study, etc.

7. Internet of Things technology engineering application

This direction mainly targets at the needs of IoT applications in different areas to develop demonstration projects and product development and industrialization promotion. It focuses on the development and promotion of grain depot sensor network monitoring system, smart home system, supermarket shopping guide system, RFID-based company personnel safety positioning and tracking system; the energy monitoring and digital monitoring technology application and promotion in campus, life and work area; food logistics sense network monitoring technology and food and environment quality and safety testing technology; animal sound defense digital products and technologies; wireless digital agriculture and application engineering; and intelligent transportation systems, etc.

II. Major research achievements

The School of Internet of Things Engineering currently spends more than 30 million yuan per year on scientific research, and has won more than 30 national and provincial vertical projects such as the national "863 Program", national scientific and technological research, and the National Natural Science Foundation. It has applied to almost 100 patents and software copyrights per year and publicized more than 500 high-level academic papers per year. In recent years, it has undertaken the following major projects of National Natural Science Foundation and national "863 Program":

The Robust Control and Application of Jump Systems Based on Invariant Set Stabilization

Study on a Class of Nonlinear System Identification Modeling Theory and Methods

Study on Stability Theory of Time-delay Distributed Parameter Systems with Impulse

Research on Theory and Method of Inference Control of Chemical Process Based on Auxiliary Model

Research on the Control Method of High Precision Servo System Based on Equivalent Input Interference Estimator

Automatic detection of fruit internal quality based on hyperspectral image technology

Research on Optimization and Stability of Network Control System Based on Quantitative Feedback Method

Research on Several Issues of Dynamic Vision Sensor Network

A class of complex system identification methods and its computer Monte-Carlo simulation

Multi-model system control and application based on limited short-term stability

Statistical monitoring and optimization of fermentation process based on multi-directional multi-rate data model

Research on the Rapid Detection of Pesticide Residues and Miniaturization of Instruments Based on Photo-Conversion-Chemiluminescence

Research on High-Reliability Real-Time System Computing Platform (SoPC)

Research on Organic Thin Film Transistors Based on Inkjet Printing and Self-Assembly Technology

Research on Synthesis and Mechanical Properties of New Magnesium-Based Bulk Metallic Glass

Fuzzy morphology associative memory theory and its application in medical image recognition

Research on 3D Structure Modeling of Membrane Proteins Based on Intelligent Computing and Reasoning

Parametric new model and its application in image feature extraction

Robust target tracking and recognition methods and their application in feather and down category recognition

Research on Rapid Construction Method of Fuzzy Reasoning System Driven by Ultra-large-scale Fermentation Data Set

Research on the acquisition, transmission and processing of non-invasive EEG based on dry electrodes and their arrays

(National Natural Science Foundation Major Research Project Training Subproject)

Research on the intelligent control of the large-scale preparation of industrial enzymes

The monitoring technology and optimization of comprehensive benefits of multi-directional statistical process during the Industrial enzyme production

Food active packaging and intelligent packaging technology

In terms of the application of the Internet of Things, the School has achieved breakthroughs in many aspects and taken the lead in China.

Greenhouse Environment Monitoring System Platform and Its Key Technologies Based on Smart Wireless Sensor Networks

Sensor network monitoring technology for food packaging and transportation

Key technologies and product R&D for rapid acquisition of on-board soil information in farmland

The development and key technologies research of the typical digital products for harming crops and animals based on intelligent wireless sensor networks

New remote monitoring system platform for livestock and poultry breeding environment and its key technologies

In the R&D of IoT engineering application technology, demonstration projects such as “Perceived energy consumption and digital campus” have been established. The demonstration project independently developed “perceived energy consumption and digital campus” demonstration system based on industrial real-time WEB service (Comet), field device monitoring configuration (IRS), OPC service/client (OPC), customizable report service (RPS), secure portal service (SSO) and GIS geography information service (WMS). According to the design principles of “Clear energy consumption, visible data, digital management, graphical analysis, indexing hydropower, and rational consumption”, a high starting point digital conservation campus supervision system was completed, including: campus electricity metering management system, campus water supply network monitoring system, campus street light intelligent management system, internet prepaid water and electricity management system, and energy-saving supervision and comprehensive analysis system. The system has been spread and applied in many universities in China. It is currently developing a digital network system that senses the entire campus.

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