Gui Xiong Liu

Testing and Analysis of High-Speed Camera for Droplet Transition

The droplet transition of electrical arc welding is a complicated process that combines heat, mass and momentum transfer. A high-speed camera system with laser in the background is established to observe the fast changing process of molten droplet transition. A group of high-speed camera pictures which indicate the droplet gravity center is unstable in welding metal transfer process are taken and analyzed. The experimental results show that the electromagnetic force is the unstable root of the droplet gravity center.

Research of FWP Process Deformation Compensation Forecasting on the Basis of TS-FNN

After analyzing the influencing factors of flexible workpiece path(FWP) process deformation, this article proposes the basic conception of process deformation intelligent forecasting and compensation, start from the process modeling method of Takagi-Sugeno fuzzy neural network, to modify the classic FNN model and construct the multiple input/output TS-FNN model for FWP process control; with LMS law and steepest descent method, antecedent network membership function parameter adjustment and descent network parameter study method of TS-FNN model is deduced; finally to carry on comprehensive simulation on TS-FNN model, the result shows the constructed model is better than BP neural network and RBF neural network for an order of magnitude on predication accuracy; in the quilting process of flexible objects, compensated by TS-FNN, the path processing obtains good approaching effect, testing result indicates that the position error scope of quilting is from 0.078 to 0.162(mm), the accuracy is higher than excellence grade of quilting which refers to national standard FZ/T81005-2006.

Testing and Analysis of High-Speed Camera for Pulse MIG/MAG Welding Droplet Transition

The droplet transition of electrical arc welding is a complicated process that combines heat, mass and momentum transfer. A high-speed camera system with laser in the background is established to observe the fast changing process of droplet transition. A group of high-speed camera pictures which indicate that the size and shape of droplet have strong uncertainty are taken and analyzed. The results show that the randomness of droplet size and shape are decided by its internal and external random factors, such as: the changing of the length of welding wire stretched out, the fluctuation of the feed speed of welding wire etc.

A New Flatness Evaluation-Rotation Method Based on GA

Flatness is one fundamental element of geometric forms, and the flatness evaluation is particularly important for ensuring the quality of industrial products. This paper presents a new flatness evaluation in the view of the minimum zone evaluation - rotation method based on genetic algorithm. This method determines the minimum zone through rotating measurement points in three dimensions coordinate. The points are firstly rotated about coordinate axes. Then they are projected in one axis, and the smallest projection length is the flatness value. The rotation angles are optimized by genetic algorithm to improve search efficiency. An exponential fitness function and the rotation angles range is designed on the basis of flatness characteristics. An adaptive mode of crossover and mutation probability is used to avoid local optimum. The results show this method can search the minimum zone and converge rapidly.

Reachability Analysis of Perception Layer Scheduling for IoT

In this paper we present a method of reachability analysis for Internet of Things (IoT) perception layer scheduling. First, the model of perception layer information flow and behavior is formed. Because perception network is a system with coexistence of discrete events and successive events, so we use hybrid dynamic logic modeling approach to form the information perception model; Then inequality proving theory, semi-algebraic system and related tools Discoverer soft package are used to give reachability analysis of the model of perceptual system, and the feasibility of this method is verified by the vehicle condition monitoring system application.

Intelligent Sensor System UPnP Networks Interface and Device Selection Realization

The network interface is the key position in an intelligent sensor system to realize plug and play. Based on UPnP (Universal Plug and Play) and IEEE 1451serie standards, an IEEE 1451/UPnP bridge is designed to solve the differences of message formats, self-identification description, and device discovery between these two standards. Using UPnP device selection method based on information axiom, the calculation of parameters information is distributed to each NCAP (Network Capable Application Processor) that meeting the service request. The test results indicate that this method simplifies the service discovery process, reduces network interface data traffic overhead, and increases UPnP device service efficiency.

Smart Lights Technology Used in Library Energy-Saving

Government attaches great importance to energy saving issue has caused. Library as densely populated public places, its energy consumption is 5 to 15 times the average residential. Many factors involved in libraries energy saving, such as air-conditioning systems, lighting systems and other electrical systems. The library has great potential for energy saving. This paper studies how to apply the smart lights technology in the library energy-saving. Based on the analysis of existing library monitoring system, we propose a possible smart lights method which will be used in the library energy-saving. Effective methods and strategies of smart light energy-saving were researched. Smart LED lights and wisdom lamp holders, hardware and software are designed and implemented which was used in the library energy-saving. The smart LED lights were used in library study room lighting reconstruction. Practice shows that the energy-saving of new lighting system effective. Theoretically for the new technology could bring more than 30% of the energy-saving effect.

Internet of Things Sensor Node Information Scheduling Model and Energy Saving Strategy

According to energy constraint problem of wireless sensor node in the Internet of Things (IoT) perception layer, this paper proposed sensor information scheduling model based on mixed logical dynamic (MLD) model and energy saving strategy. First, the amount of transmission data control and the energy consumption of wireless communication control were modeled by MLD mode. Secondly, under MLD model, the sensor node communication scheduler was designed, and reliable scheduling strategy and rules were established for sensor node in different scene, which can adopt different strategy according to the change of scene. Finally, the simulation results show that the sensor node information scheduling model and energy saving strategy can reduce the sensor node data traffic and save more than 50% energy consumption, and the overall data error is 0.018. So it can save the energy consumption of sensor node and guarantee data precision.

Cardinality Estimation-Based Adaptive Multi-Tree Splitting Algorithm for RFID System

This paper proposes a cardinality estimation-based adaptive multi-tree splitting (CEAMS) algorithm. Tag number is estimated by using the depth information obtained from the first tag identification and adaptively assigns the splitting strategy according to the splitting subset rule table. Simulation results show that the average total number of timeslots can be reduced by 65% compared with DBS and the system throughput is about 0.52 when the number of tags ranged from 5 ~ 1000.

Machining Deformation Equation of FWP Based on Rayleigh-Leeds Method

This paper discusses the FWP bending deformation processing computing problems. Using Rayleigh-Leeds method to solve the flexible part bending deformation. Designing flexible part bending deformation test function. Finding out the flexible part itself material characteristics, the relationship between Fz and deformation through satisfying FWP processing process of a flexible minimum potential energy conditions to work out the approximate solution of the flexible part bending deformation. Finally, think a rectangular flexible workpiece that made of polyurethane sponge as an experiment subject. The results show that the calculated results of the average of the relative deviation are only 6.85%. Proof that this bending deformation test functions satisfies the actual deformation calculation requirements.