Showing papers presented at "International Conference on Measuring Technology and Mechatronics Automation in 2013"

Building a Smart Home System with WSN and Service Robot

Abstract: Smart home environments have evolved to the point where everyday objects and devices at home can be networked to give the inhabitants new means to control them. Advances in digital electronics have enable the development of small in size and communicate in short distances sensor nodes. They are low-cost, low-power and multifunctional. The sensor nodes consist of sensing, data processing, and communication components, leverage the idea of Wireless Sensor Networks (WSN) based on collaborative effort of a large number of nodes. There are a large number of reseaches dealing with WSN applications, but it is still possible to explored in WSN development and maintenance. This paper examines the possibility of integration WSN and the service robots into a smart home application. The service robots can be considered to be mobile nodes that provide additional sensorial information, improve/repair the connectivity and collect information from wireless sensor nodes. On the other hand, the WSN can be considered as an extension of the sensorial capabilities of the robots and it can provide a smart environment for the service robots.

Research on PKI-like Protocol for the Internet of Things

Abstract: Through analyzing the essence of the IoT and the hiberarchy architecture in it, some security risks, security request and security ways for the risks are discussed. The possible technique at each layer and its advantage or disadvantage is studied respectively. The extremely characteristics of the perception layer are summarized, based on it, a PKI-like security mechanism including PKI-like security foundation architecture and PKI-like protocol are presented in this paper, and the characteristics and its application domain are summarized to present. A couple of new research directions are proposed. After some further improvement research on it, which maybe a hot topic in the near future.

Fault Detection of Stator Winding Interturn Short Circuit in PMSM Based on Wavelet Packet Analysis

Abstract: In this paper, the method of wavelet packet transform analysis is proposed, according to the shortcomings of Fourier transform analysis method when the fault detection of permanent magnet synchronous motor(PMSM) is studied. The stator current signal of PMSM is decomposed by wavelet packet, then the signal energy eigenvalues of frequency bands are analyzed. The simulation result shows that the method of wavelet packet transform analysis can well characterize the fault features of the stator winding inter-turn short circuit.

A Dynamic Model of ROV with a Robotic Manipulator Using Kane's Method

Abstract: The paper presents a detailed methodology for dynamic modeling of ROV with a robotic manipulator using Kane's dynamic equations. This methodology allows construction of the dynamic model simply and incrementally. The generalized active forces and the generalized inertia forces were deduced. The forces which contribute to dynamics were determined by Kane's approach. The model developed in this paper includes inertia force, gravity, buoyancy, control inputs and two major hydrodynamic forces: added mass, profile drag. The equations of hydrodynamic forces were deduced. The methodology provides a direct method for incorporating external environmental forces into the model. The resulting model is obtained in closed form. It is computationally efficient and provides physical insight as to what forces really influence the system dynamics. The dynamic model provides a framework for modern model-based control schemes.

An Integrated Measure and Location Method Based on Airborne 2D Laser Scanning Sensor for UAV's Power Line Inspection

Abstract: Real-time and reliable autonomous navigation measure and location method is crucial for unmanned air vehicles(UAVs) power line inspection autonomous flight. A new two phase's measure and location method of using onboard two-dimensional (2D) laser scanning sensor for UAV autonomous continues flight is introduced. To solve real-time and reliable problems of terrain matching, a novel UAV terrain contour match method of multi-path terrain matching based on 2D plane laser radar is proposed. Laser scanning sensor is introduced to provide terrain scanning data and location. An improved multi-path terrain elevation contour matching algorithm is introduced to promote flexibility and real-time performance in second flight phase of power line inspection. Simulation results demonstrate the feasibility of the proposed method for UAVs. The experimental result shows that the improved terrain matching algorithm will provide more efficient and effective measure and location integrating ability for future UAVs autonomous flight and control.

Natural Gas Pipeline Leakage Detection Based on FBG Strain Sensor

Abstract: Negative pressure wave will spread on both sides of the pipeline when a natural gas pipeline leaks, and that will make the pressure in the pipeline reduced. Then a slight deformation will happen to the diameter of pipeline, The Fiber Bragg Grating (FBG) strain sensor which is stuck on the pipeline can detect that and send the signal to us. Based on that signal, by using signal correlation processing method, we can find whether the pipeline leakage.

Using Local Improved Structural Holes Method to Identify Key Nodes in Complex Networks

Abstract: In complex networks, it is significant to rank the nodes according to their importance. In this paper we present an algorithm based on an improved Structural Holes method to identify the key nodes of a complex network. Since our approach does not need to consider the global structure of a network but only consider the number of one node's neighbors and it's next nearest neighbors, the nodes importance can be calculated with local information of a complex network. Experimental results of ARPA net show that our method is better than some important ranking measures such as between ness, degree or closeness. It is very useful for evaluating the key nodes in large scale and complicated networks, in which evaluation of nodes importance is almost impossible to calculate with global information.

A Study on Motor-Scooter Accidents in China and Germany

Abstract: The vehicle traffic accidents have been widely studied not only in the motorized countries but also in the motorizing countries, while in-depth study on motor-scooter accidents has not been adequately investigated. In this research the motor-scooter accident data from IVAC in Changsha of China were collected from in depth accident investigation, at the same time the accidents samples from GIDAS in Hannover Medical University from 2004 to 2010 were also picked out to study the injury mechanism on motor-scooter riders. By utilizing the statistical analysis and accident reconstruction method, the injury location and injury severity of the scooter riders are investigated, furthermore the collision type, collision speed on scooter to car accidents, impact areas on helmets for scooter riders, injury risk as a function of car collision speed are investigated. The research results can provide foundation and reference for the establishment on injury protection measures for scooter riders.

A Sensor Fault Diagnosis Method Research Based on Wavelet Transform and Hilbert-Huang Transform

Abstract: Focusing on the difficulty of detecting sensor fault directly in actual aerospace industrial processing we propose a kind of sensor fault diagnosis method based on wavelet transform followed with Hilbert-Huang transform. First, We detect sensor fault by continuous wavelet transform to posit fault time accurately. Then we make further analysis and processing by Hilbert-Huang transform to obtain more information about fault signals. Finally, we establish a second-order sensor model to verify control performance through Matlab/Simulink. The results of modeling and simulation show that the method is feasible and reasonable.

HVAC Room Temperature Prediction Control Based on Neural Network Model

Abstract: HVAC (Heating Ventilating aAir-conditioning) system is a nonlinear complex system with delay. It is very difficult to build a mathematical model of HVAC and implement model-based control. Since a BP (Back Propagation) neural network can fully approximate any nonlinear system with high recognition, a model of an HVAC system is built by using the BP neural network and such system is controlled by a generalized predictive control method. An experimental system of central air-conditioning is build in the lab and a simulation experiment shows that the neural network prediction model is robustness and it has a good tracking capability, the generalized predictive control has been chosen as an excellent controller of this nonlinear system.

The Research on Complex Event Processing Method of Internet of Things

Abstract: Event processing is the key part of the middleware of Internet of Things. There are some challenges in complex event processing for event cloud in internet of things, such as heterogeneous, massive data, distributed event processing and the occurrence time of each event is unknown. In order to resolve the challenges, a complex event processing method of internet of things event cloud is proposed in this paper. This is based on Service Oriented Architecture (SOA), and design an efficient Complex Event Processing (CEP) that based on query plan, which supports imprecise timestamps and resolves the problem of disorder event. The experimental study shows that this method can process disorder event and the performance of the model and approach is better than normal methods when processing large-scale event cloud in internet of things.

Research on Wearing Prediction of the Cylinder Surface Based on Time Series Autoregressive (AR) Model

Abstract: Samples gotten from lubricating oil used in the marine diesel engine cylinder piston ring were analyzed with the spectrum analyzer to get the value of wearing elements. The time series autoregressive (AR) prediction model was established with monitoring data to predict the wearing data. Actual results showed that, AR model can handle non-linear dynamic data, reflect the nonlinear relationship among the various elements, and the prediction accuracy was high and with a strong practicability.

An Adaptive Two-Point Non-uniformity Correction Algorithm Based on Shutter and Its Implementation

Abstract: Because of the non-uniform response of infrared focal plane arrays (IRFPA), non-uniformity correction is a key technology in IRFPA application. The two-point correction algorithm is widely used in practical applications, but there are some disadvantages. The detector's response will drift with time and temperature, correction parameters will drift with this accordingly. In order to acquire good quality images, the correction parameters need to be recalibrated periodically. It is inconvenient for user. This paper proposed an adaptive non-uniformity correction algorithm based on the two-point correction, which can update the correction parameters automatically. And this paper else introduced the approach of the algorithm. Results showed that the algorithm is effective to compensate the response drift influenced by time and temperature.

The Bulk Temperature Analysis of the Involute Spur Gear Based on Parameterized Modeling of APDL

Abstract: Because of large amounts of heat generation, spur gear transmission of heavy load and high speed can not only have a serious effect on the temperature field of the whole transmission system, but also lead to thermal deformation, which can badly affect the working reliability and the lifetime. With the complex application of gear meshing, friction and thermal conduction, heat flux and heat transfer coefficient for the contact surface and the sides in different engagement position are analyzed precisely. The parameterized three-dimensional finite model of a single tooth segment is built up on the basis of APDL in ANSYS, and the steady temperature field of the tooth segment is obtained. The effect of different torques and speeds on the steady temperature field is also analyzed.

A Study on the Application of Energy-dissipating Protection Device in Car-to-Truck Rear Underride

Abstract: A passenger car is severely damaged in car-to-truck underride accident which threatens the lives in the passenger car seriously. The objective of the study is to develop an energy-dissipating rear underride protection device (RUPD) for diminishing the hazard imposed on the passenger car and the occupants. The new RUPD which has energy-dissipating structure is designed. It is modeled in virtual environment together with a moving barrier (MB) and a contrastive common RUPD. Finite element simulation is performed for comparative analysis on the performance of the two RUPDs in LS-DYNA. In the virtual test, the MB crashes into the two RUPDs respectively according to the national standard GB11567.2-2001. The conditions of 54km/h crash speed and offset collision form are added to the virtual test for further test. The results show that under the national standard condition, the new RUPD dissipates 77% of the total crash energy and the MB's acceleration peak in the test of the new RUPD is 22.8g, which is 40% lower than that in the test of the common one. In the extension virtual tests, the new RUPD performs effectively in buffering, energy dissipating and underride protecting.

Research on SVPWM Inverter Output Control Technology

Abstract: Space vector pulse width modulation (SVPWM) has been developed fast. The new technology has the advantages of control algorithm, the small harmonic and high dc voltage utilization. Therefore it is widely used in inverter technology. This paper analyzed the algorithm of SVPWM. Theoretical analysis and experimental results based on DSP (digital signal processor) show that the proposed SVPWM control algorithm can control transient output characteristics.

Railway Safety Monitoring System Based on CAPS

Abstract: CAPS navigation and positioning system is characterized by a unique integration of navigation and communication functions, safe and normal running of train not only need to locate the train, but also communicate back the positioning data to the monitoring center in order to protect the security command needs. We introduce CAPS positioning system which integrates satellite navigation and communication functions, design a navigation and communication monitoring system of space-earth integration for railway safety based on CAPS. Railway safety monitoring system based on CAPS plays a good supporting role in safeguarding for the railway safety system.

Numerical Simulation and Analysis of Water-Cooled Radiator Performance for Traction Converter

Abstract: The paper adopts two different simulation models to give a research on the performance measurement of water-cooled radiators. One simulation model is water-cooled radiator with simulation heating blocks, the other simulation model is water-cooled radiator with IGBT power components. The results based on these two models show that it exists big difference on the temperature and pressure distribution. The two heating system is not equal. At the same time, this paper also does some research on the influence relationship of parameters to temperature and pressure distribution, including flow rate, cooling medium and power loss. The research methods and results elaborated in this paper can provide reference for the water-cooled radiator design.

The Application of Coal Cleaning Detection System Based on Embedded Real-Time Image Processing

Abstract: This paper introduces a high-speed image processing of embedded systems based on FPGA and DSP collaboration used in coal preparation detection technology. The system uses a modular design, including a real-time image acquisition module, DSP image processing module, and peripheral interface module. The image processing required doing the following arithmetic operations, including image smoothing to enhance, edge detection, region segmentation, gray-scale analysis, pattern recognition. After completion of the above algorithm, the system determines the image feature of coal and gangue, particularly their gray scale values and the center of gravity. By analysis of the characteristics of the image, the system identifies the gangue. The image processing is conducive to the follow-up to discharge refuse treatment.

Research on Characteristics of the Piloted Follow-up Load Control Valve in Automobile Crane Luffing System

Abstract: Automobile crane luffing system is a variable load system. While the boom is being lowered, the constantly changing geometry results in a steadily increasing load pressure acting on the luffing cylinder. This requests the load control valve to have perfect performance including opening characteristic, jiggle characteristic, load pressure over-compensation characteristic and dynamic response characteristic. However the luffing hydraulic system with traditional load control valve has the problems of high system pressure, large impact and easily vibrated. This paper introduces the working principle of a new piloted follow-up load control valve first, and then develops a simulation model, which is validated by a series of experiments conducted on the automobile crane. Based on theory research and simulation, the working mechanism is analyzed and it demonstrates that the piloted follow-up load control valve have a opening characteristic independent of load, good jiggle characteristic under low control pressure, load pressure over-compensation, and smooth dynamic response without overshoot, which are all essential in automobile crane luffing system.

Multi-level Threshold Image Segmentation Using Artificial Bee Colony Algorithm

Abstract: Image segmentation is still a crucial problem in image processing In this paper, we proposed a novel multi-level image segmentation method based on PSNR using artificial bee colony algorithm (ABCA) PSNR is considered as an objective function of ABCA The best multi-level thresholds are those which can make the PSNR maximize Further, we compare entropy and PSNR in segmenting gray-level images and noisy images Through experiments, it is found that the entropy isn't suitable to be applied to segmentation of images with Gaussian noise So we can conclude that entropy can't be used for noisy image segmentation The experiments results demonstrate our proposed method is effective and efficient

A Real Time Image Segmentation Approach for Crop Leaf

Abstract: For the monitoring of crop in greenhouse with machine vision, it is difficult to extract the leaf images from natural light background, having poor imaging conditions and different plant material. To settle the problem, a color image segmentation approach consisting of fuzzy c-means clustering, morphological operation and blob analysis was proposed. Firstly, due to the low contrast in the images captured from natural light and narrow range of pixel distribute in the color space, both contrast adjusting algorithm and decor relation stretch transform were performed for image preprocess. Secondly, for the heavy computing load in the FCM, a new FCM algorithm based on color quantization (CQ-FCM) was proposed to improve the FCM computing speed greatly without affecting the segmentation result. Then, morphological filtering was performed to eliminate most noises and a two-scan algorithm was used in the connected component labeling. After that, the Blob analysis was accomplished. With the Blob analysis result, the small objects which could not be eliminated by morphological operation were filtered out and hoes in the leaf areas were filled. Finally, the leaf images were extracted. Experimental results showed that the proposed approach is effective for extracting plant leafs from complicated background and it can meet the demand of plant real-time monitoring.

Study on Velocity Estimation for Four-Wheel Independent Drive Electric Vehicle by UKF

Abstract: The four wheel torque is easy to get in the four-wheel i ndependent drive electric vehicle and the vehicle velocity estimation was studied by Unscented Kalman Filter (UKF) in this paper. The velocity estimation algorithm made use of the longitudinal acceleration, lateral acceleration and yaw rate signals measured by low cost sensors. 3-DOF vehicle estimation model with the HSRI tire model was used. The algorithm was verified by simulation experiment. The results showed that the longitudinal velocity and lateral velocity were estimated accurately using the algorithm.

The Role of Green Manufacturing in Reducing Carbon Dioxide Emissions

Abstract: In recent decades, expanding economic activity has been accompanied by growing concerns about climate change, energy security and scarcity of natural resources. The manufacturing is one of the largest sources of carbon dioxide (CO2) emissions. In this paper, we first definite the concept of green manufacturing, then discuss the importance of improving energy efficiency in the manufacturing sector. Finally, the pathways of transformation to green manufacturing as well as the main greenhouse gas (GHG) reducing technologies are pointed out.

Intelligent Control System of Transformer Cooling Based on DCS and Dual PLC

Abstract: Aiming at the problems of the traditional transformer cooler's control system, the paper developed the intelligent control system of the transformer cooling based on the DCS dual PLC. The DCS and dual PLC's redundancy, the intelligent motor controller, the system's centralized monitoring platform, and the environmental control system achieve the monitoring, controlling and remote status monitoring for the transformer cooling system, and improve the reliability and adaptability of the transformer cooling system. They can be suitable for the intelligent electricity grid. The technology is in the leading domestic level because of innovation in the high-performance distributed bus, the integrated design of three-phase solid state relay and magnetic latching relay and the PLC cooling mode using semiconductor refrigeration.

Continuous and Real-Time Vibration Data Acquisition and Analysis System Based on S3C6410 and Linux

Abstract: A new vibration analyzing system based on the S3C6410, a 16/32-bit ARM 11 CPU and the AD7606, an 8-channel high-speed simultaneous 16-bit analog to digital converter (ADC) is presented. The design of hardware is described, in which the IDT72V265, a 16K x 18-bit synchronous FIFO was applied to realize the continuous and real-time data transmission from ADC output register to SDRAM through the data bus of S3C6410. Embedded Linux 3.0 operating system was transplanted, and hardware drivers which provide up-layer Linux applications the interface of ADC control and data transmission have been developed. In the upper computer, the MFC application with functions to receive, save, process and display data from the lower acquisition system was fulfilled. The test results showed that acquisition data was accurate and the system turned out to be reliable at the highest sampling rate of AD7606.

Study of Compound Fuzzy-PID Control Method for Gasoline Engine Idling Speed Control

Abstract: Gasoline engine idling instability is a common problem of engine idling control system. In order to improve steady and dynamic characteristics of gasoline engine idling control, a new type compound fuzzy-PID control system was designed and compared with the traditional PID system through simulation by MATLAB/ Simulink and test in dynamometer. The results confirm that the compound fuzzy-PID control system can decrease remarkably idling speed fluctuation, the maximum transient ripple value is still less than 15 r/ min with the air-conditioner load added and it has an enough robustness so that it is suitable for actual vehicles.

Path-Following in 3D for Underactuated AUV in the Presence of Ocean Current

Abstract: In this paper, a nonlinear control strategy is developed to force an under actuated autonomous underwater vehicle to follow a predefined 3D path in the presence of ocean-current and vehicle's unknown physical parameters. The controller is derived using line-of-sight guidance system and the back stepping technique. The parameter projection techniques are used to estimate the unknown parameters to avoid the parameters' drift. The path-following errors are proved to be uniformly stable bounded using Lyapunov theory. Numerical simulations are provided to illustrate the effectiveness of the proposed controller.

Influence of Cooling Circulating Water Flow on Back Pressure Variation of Thermal Power Plant

Abstract: Under certain conditions, condenser pressure can be considered as back pressure of the steam turbine, which has great influence on the unit power. Based on the back pressure calculation model, influence on back pressure variation by adjusting circulating water flow is discussed in this paper. The model is developed from mechanism analysis of the condenser and cooling tower. Results show that cooling water inlet temperature is an important parameter during the back pressure calculation. Changing the unit output by adjusting circulating cooling water flow of the cold-end system has different effects on the unit output increment and decrement.

A K-harmonic Means Clustering Algorithm Based on Enhanced Differential Evolution

Abstract: The conventional K-harmonic means is tend to be trapped by local optima. To resolve this problem, a novel K-harmonic means clustering algorithm using enhanced differential evolution technique is proposed. This algorithm improves the global search ability by applying Laplace mutation operator and logarithmically crossover probability operator. Numerical experiments show that this algorithm overcomes the disadvantages of the K-harmonic means, and improves the global search ability.