Narrow Results

In order to improve the intelligent informatization level of electric power production safety and reduce the accidents, the paper constructs a dynamic perception scheme of electric power production site that utilizes multi-dimensional information such as personnel location, equipment status, and image information. This method uses a multi-sensor network to realize the real-time perception of the image and position information of dynamic power work objects, then uses object identification and intelligent analysis to acquire the dynamic factors. Static factors are selected through questionnaire and historical data, and variable precision fuzzy theory is used to calculate the weight of static factors at dynamic power operation sites. A comprehensive evaluation is established to perceive risk and estimate security probability based on static factors and dynamic scene information. The application system can present the situation of the operation scene, and then realize safety assessment and early warning of the dangerous situation in the case of dynamic power monitoring. This method can prevent safety accidents and enhance the overall safety of power operations.

In this paper, a monitoring technique based on the wireless sensor network is investigated. The sensor nodes used for monitoring are developed in a simulation environment. Accordingly, the structure and workflow of wireless sensor network nodes are designed. Time-division multiple access (TDMA) protocol has been chosen as the medium access technique to ensure that the designed technique operates in an energy-efficient manner and packet collisions are not experienced. Fading channels, i.e., no interference, Ricean and Rayleigh, are taken into consideration. Energy consumption is decreased with the help of ad-hoc communication of sensor nodes. Throughput performance for different wireless fading channels and energy consumption are evaluated. The simulation results show that the sensor network can quickly collect medium information and transmit data to the processing center in real time. Besides, the proposed technique suggests the usefulness of wireless sensor networks in the terrestrial areas.

In this paper, first, we discuss the status quo of research and development of intelligent speech technology and analyze the problems existing in today’s education. The second is to explain the related concepts of intelligent speech technology, and, at the same time, to conduct in-depth research on the intelligent speech technology tools used in the experimental research and the related functions of the educational applications cited in this research, and briefly describe the correlation between information education and language learning basic knowledge. Then we summarize the structure, attributes, scope and existing solutions to solve the energy efficiency of the sensor network, focus on the classification and analysis of the existing routing protocols of the wireless sensor network, and summarize the characteristics of the protocol. In addition, this paper conducts extensive research on the relationship between LEACH protocol cluster division and energy consumption. This paper focuses on the shortcomings of the mainstream virtual reality (VR) system creation method, and proposes a method of interactive design, which significantly reduces the threshold for creating VR content and improves the efficiency of VR creation. Wisdom teaching technology not only mobilizes the enthusiasm of students in learning, but also helps to improve the teaching effect. Finally, it summarizes the specific work and importance of the research, and shows the application and development prospects of intelligent teaching technology in future education. Through the research of intelligent voice technology and sensor network, this paper applies it to the VR intelligent teaching system, and promotes the development of the VR intelligent teaching system in future education.

One of the fundamental issues in sensor networks is the coverage problem, which reflect-show well a sensor network is monitored or tracked by sensors. In this paper, we formulate this problem as a decision problem, whose goal is to determine whether every point in the servicearea of the sensor network is covered by at least α sensors, where ff is a given parameter andthe sensing regions of sensors are modeled by balls (not necessarily of the same radius). This problem in a 2D space is solved in [10] with an efficient polynomial-time algorithm (in termsof the number of sensors). In this paper, we show that tackling this problem in a 3D space is still feasible within polynomial time. Further, the proposed solution can be easily translated intoan efficient polynomial-time distributed protocol. We demonstrate an application of the derived result by proposing an energy-conserving scheduling protocol.

The concept of smart aggregates, a distributed intelligent multi-purpose sensor network for civil structures, has been implemented to address three important issues including early-age concrete strength monitoring, impact detection and evaluation, and structural health monitoring. This paper presents mainly the employment of smart aggregates' active sensing property to form feedback in a sensor network to reduce damage-location detection time for lower power cost. Firstly, the concept of smart aggregates and the principle of a smart-aggregate-based sensor network are outlined. Next, the data pretreatment methods, including the sensor observation estimation model and the wavelet-packet-based signal processing algorithm, are proposed. A crucial concept using the damage index is also introduced. Moreover, the concept of the geometry structure matching method with the knowledge of an expert system is presented to determine which sensor is the optimal actuator. Finally, the data pretreatment algorithm and the geometry structure matching method are evaluated for a two-story concrete frame instrumented with smart aggregates as a testing object by means of actual experiments. The testing results demonstrate that the proposed algorithms are feasible and perform well in selecting optimal actuators of the sensor network for detecting damage locations.

In passive location systems on the ground, the judgment and location of multi-target is more challenging compared with the case of single target. In this paper, we propose a method for multi-target identification and location in an arbitrary structure with three base stations (BSs). First of all, we discuss the scene of multi-targets judgment based on geometric dilution of precision (GDOP) value. Secondly, we propose an algorithm that calculates the system coverage radius based on arbitrary three BS structures. The algorithm helps to identify the number of targets for unsupervised learning. Finally, we locate each target individually located again based on the linear constrained minimum variance (LCMV) beam former and time difference of arrival (TDOA) algorithm. In the simulations, we analyzed the location dispersion under different signal-to-noise ratio (SNR), then calculated the termination threshold of the k-means algorithm under different SNR. The simulation results show that, compared to the probability hypothesis density (PHD) filter and TDOA-angle-of-arrival (AOA) joint algorithm, the proposed method can increase more than 12.5% and 15.6% points. With the increase of the number of targets, the running time of our algorithm is controllable with better stability.

Wireless sensor network has broad applications in target tracking and locating, especially fit for military detection or guard. By establishing a tracking cluster, this article proposes a Tracking Cluster Rekeying Protocol (TCRP). Sensors can locate the moving object in the monitored area based on given sensitivity and form a tracking cluster around it. This tracking cluster can follow the target logically, process detected data and report to the sink node, and thus achieve the tracking function. To improve its security and applicability, cluster session key is used for data exchange. And pre-established encrypt links are used to guarantee the whole system's security.

The key objective of wireless sensor networks (WSNS) is to use the restricted embedded resource efficiently and to maximize their life time. Quality of service (QoS) routing is one of the key technologies to provide differential services and utilize the whole resource effectively for WSNS. We present a new energy best routing method which could meet the requirements of QoS bandwidth and has longer network life time.

This method Constructed the Node Selection Model, Energy Assessing Model. The genetic quantum Algorithm (QGA) which utilizes the set of the available nodes was used to construct the route. The Markov chain proved the algorithm that is strong convergence and also the convergence speed is exponent. In addition, the choosing intervals of the controlling parameters proposed by the QGA algorithm have been determined based on the simulations and the analysis results. It has been shown from the experiments that the energy best routing method has better adaptability and longer lifetime.

This paper discusses the design of a sensor network for the security infrastructure of power system applications. The architecture of the whole system is designed in detail. And the implementation of software and hardware is described. IEC 61850 is adopted as the communication protocol in this system and IEEE 1451 as the interface. The whole system is actively synchronized with the combination of GPS and IEEE 1588 protocol.