Hongwei Li

Bio: Hongwei Li is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Local area network & Wireless sensor network. The author has an hindex of 1, co-authored 1 publications receiving 25 citations.

Wireless sensor information fusion for structural health monitoring

Abstract: The process of implementing a damage detection strategy for engineering systems is often referred to as structural health monitoring (SHM). And Structural Health Monitoring is very important for large structures like suspension- and cable-stayed bridges, towers, offshore platforms and so on. Some advance technologies for infrastructure health monitoring have been caused much more attentions, in which the wireless sensor network (WSN) is recently received special interests. The WSN would have lower capital and installation costs as well as ensure more reliability in the communication of sensor measurements. However, in the context of untethered nodes, the finite energy budget is a primary design constraint. Therefore, one wants to process data as much as possible inside the network to reduce the number of bits transmitted, particularly over longer distances. In this paper, a WSN is proposed for health monitoring of the offshore platform, and a laboratory prototype was designed and developed to demonstrate the feasibility and validity of the proposed WSN. In the laboratory prototype, wireless sensor nodes were deployed on a model of offshore platform, a Wireless Sensor Local Area Network (WSLAN) transfers the simulated data among personal computer and microsensor nodes peripherals without cables. To minimize the energy consumption, algorithms for fusing the acceleration, temp and magnetic sensors on a single node are being developed. And based on fusing the data from local nodes, the current state of structure health was determined. In our deployment, we using UC Berkeley motes as the wireless sensor nodes to examine many of the issues relating to their usage and our information fusion algorithm.

A summary review of wireless sensors and sensor networks for structural health monitoring

Abstract: In recent years, there has been an increasing interest in the adoption of emerging sensing technologies for instrumentation within a variety of structural systems. Wireless sensors and sensor networks are emerging as sensing paradigms that the structural engineering field has begun to consider as substitutes for traditional tethered monitoring systems. A benefit of wireless structural monitoring systems is that they are inexpensive to install because extensive wiring is no longer required between sensors and the data acquisition system. Researchers are discovering that wireless sensors are an exciting technology that should not be viewed as simply a substitute for traditional tethered monitoring systems. Rather, wireless sensors can play greater roles in the processing of structural response data; this feature can be utilized to screen data for signs of structural damage. Also, wireless sensors have limitations that require novel system architectures and modes of operation. This paper is intended to serve as a summary review of the collective experience the structural engineering community has gained from the use of wireless sensors and sensor networks for monitoring structural performance and health.

A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion

Abstract: Internet of Things (IoT) aims to create a world that enables the interconnection and integration of things in physical world and cyber space. With the involvement of a great number of wireless sensor devices, IoT generates a diversity of datasets that are massive, multi-sourcing, heterogeneous, and sparse. By taking advantage of these data to further improve IoT services and offer intelligent services, data fusion is always employed first to reduce the size and dimension of data, optimize the amount of data traffic and extract useful information from raw data. Although there exist some surveys on IoT data fusion, the literature still lacks comprehensive insight and discussion on it with regard to different IoT application domains by paying special attention to security and privacy. In this paper, we investigate the properties of IoT data, propose a number of IoT data fusion requirements including the ones about security and privacy, classify the IoT applications into several domains and then provide a thorough review on the state-of-the-art of data fusion in main IoT application domains. In particular, we employ the requirements of IoT data fusion as a measure to evaluate and compare the performance of existing data fusion methods. Based on the thorough survey, we summarize open research issues, highlight promising future research directions and specify research challenges.

Secure Operation, Control, and Maintenance of Future E-Enabled Airplanes

Abstract: Commercial aviation is at the threshold of the era of the e-enabled airplane, brought about by the convergence of rapidly expanding worldwide data communication infrastructures, network-centric information processing, and commoditized lightweight computational hardware. With advanced avionics, processing, and wireless communication capabilities, the e-enabled airplane can revolutionize the current air transportation system. However, the use of unregulated information technology and wireless technologies introduces vulnerabilities that can be exploited to provide unauthorized access to the onboard aviation information systems and impede their operation. The emerging security threats are not covered by current aviation guidance, and regulations, hence, remain to be addressed. This paper presents a comprehensive survey of security of the e-enabled airplane with applications such as electronic distribution of loadable software and data, as well as future directions such as wireless health monitoring, networked control, and airborne ad hoc networks.

Development of Wireless MEMS Inclination Sensor System for Swing Monitoring of Large-Scale Hook Structures

Abstract: A modular wireless microelectromechanical system (MEMS) inclination sensor system (WMISS) is developed and tested for providing structural health monitoring of large-scale hook structures. The operating principle of a 3-D-MEMS-based dual-axis inclinometer is analyzed. A wireless MEMS sensor is integrated using sensing disposal, wireless communication, and power units. The WMISS is calibrated by using a laser displacement sensor in a pendular structure. The maximal error of the wireless MEMS inclination sensor is about 1%. The resolution is plusmn0.0025deg. With the new-type tuned mass damper control module, an experiment on a WMISS for the swing monitoring of a Lanjiang hook model is developed. Experimental results indicate that the developed WMISS is highly precise, convenient, stable, and low cost and has long range, and thus, a WMISS can accurately and conveniently monitor the swing of a Lanjiang hook model.

Secure wireless collection and distribution of commercial airplane health data

Abstract: The introduction of wireless communication capabilities supporting transfer of sensor data and information on board commercial airplanes as well as between airplanes and supporting ground systems has the potential to significantly improve the safely and efficiency of air travel. The benefits, however, come at the cost of information security vulnerabilities introduced by data networks. Regulatory institutions, including the FAA, are aware that security requirements for network-enabled airplanes must be fully identified. Therefore, this paper focuses on wireless airplane health monitoring and management, and contributes a security framework to identify threats and system requirements to mitigate these threats. We also present challenges and open problems in enabling secure use of wireless sensor networks for health monitoring and control of commercial airplanes.