Zhang Yunsheng

On Remote Real-time Communication between MATLAB and PLC Based on OPC Technology

Aiming at the communication between MATLAB and PLC, the paper presents a method of implementing remote real-time communication based on OPC (OLE for process control) on the Ethernet. It analyzed the principle of remote real-time communication between MATLAB and PLC and designed a remote real-time communication test system consisting of MATLAB, Ethernet and S7-300 PLC. The author realized the S7-300 PLC hardware configuration, OPC server configuration, configuration variable and real-time data exchange between MATLAB and S7-300 PLC by using MATLAB OPC toolbox, and gave out the details of procedure and program. The test results indicate that the function of exchanging remote real-time data can be attained between MATLAB and S7-300 PLC through OPC server, and prove that it is an effective and feasible method to realize the real-time remote communication between MATLAB and PLC. The proposed method can be used to realize data process and advanced control in industrial to improve the quality of control.

A Distributed Real-time Control System Modeling and XML-Based Semantics

Distributed real-time control system modeling (DRCSM) provides an abstract architecture for the implementation of distributed control systems with hard real-time constraints. In order to leverage model continuity, XML-based description of model informal description is required, which supports the reuse of components and model information interoperability. By separating the platform-independent from the platform-dependent concerns, DRCSM enables a great deal of flexibility in choosing control platforms as well as a great deal of automation in the validation and synthesis of control software.

Method of temperature measurement using image based on GRNN

As the temperature changing in the tubular furnace, the color of the reflect light from the tubular furnace will change also, so a method of temperature measurement using image based on generalized regression neural network (GRNN) is proposed. Firstly, the original color images were segmented and smoothed. Then the calculation of pixels R, G, B value of each image divided by the pixels number of the furnace mouth and its results are set to input vectors of GRNN network. GRNN is used to approximate the nonlinear relationship between temperature and the color value of each image. Finally, GRNN network is used to forecast the temperature, and compared with the results of BP network. The experimental results show that it is high speed and accuracy to apply GRNN to the method of temperature measurement using image.

Unsupervised image sequence segmentation based on hidden Markov tree model

This paper presents a novel unsupervised image sequence segmentation method using hierarchical wavelet domain hidden Markov tree model(WDHMT). The key idea is that with a priori information introduced into the segmentation framework, we can capture both local and global statistical information using WDHMT model. Firstly, each frame extracted from the image sequence is transformed through discrete wavelet transform(DWT) to obtain a compressive representation of the original one. Then we capture the context information of wavelet coefficients at each level through tree-structured probabilistic graph. After the model parameters are learned through up-down iterated expectation maximization(EM) algorithm, we deduced the maximum likelihood(ML) segmentation at the finest level. The boundary information is then fused with the a priori region information. Finally, we quantitatively evaluated the performance of this algorithm by using a sequence of tobacco leaf images polluted by Gaussian white noise. The simulation results show that the proposed algorithm can achieve high classification accuracy, preferable specificity and sensitivity properties.

Gas blast symptom analysis of coal mine based on fuzzy fault tree method

The article analyses the gas explosion accident in coal mine based on the fault tree principle, obtaining the basic factors of the accident, and building a fuzzy evaluation model to make the prediction analysis for the coal mine production safety. In this paper, an algorithm is proposed, and its validity and practicability have been proved on predicting the gas safety accident in the coal mine.

Time-Triggered Architecture (TTA) in Industry Hard R-T Embedded Control Software Design

Conventional event-triggered architecture (ETA) can not meet the industry hard R-T control requirements in security field. This paper studies a hard R-T control embedded control software design mode based on TTA; discusses the task scheduling principle and mode switching method which are based on TTA; and give a series of concrete formalized description and the sequence chart of execution.

Analysis and compute of real-time signal flow delay for network on-chip

Analyzing the delay characteristics of System-on-chip network on multi-core chip, establishing the signal flow model based on the signal flow structure and time measurement method, the network transfer mode based on the centralized leading node proposed the network routing algorithm and signal flow priority queuing transmission scheduling algorithm, and gave the signal flow delay time and the least upper bound calculation of router cache. At the same time, certified the scheduling algorithm can make sure the delay constraints, the result of algorithm meet the timely and determinism of real test.Analyzing the delay characteristics of System-on-chip network on multi-core chip, establishing the signal flow model based on the signal flow structure and time measurement method, the network transfer mode based on the centralized leading node proposed the network routing algorithm and signal flow priority queuing transmission scheduling algorithm, and gave the signal flow delay time and the least upper bound calculation of router cache. At the same time, certified the scheduling algorithm can make sure the delay constraints, the result of algorithm meet the timely and determinism of real test.

Implementation of distributed Intelligent Predictive Control based on component

Using the mode of intelligent predictive control, the feature of distributed fieldbus system and the method of intelligent predictive control can be integrated, control action among subsystems can be cooperated correctly, but there are coupling problems among control software of subsystems. Designing these software based on component technology, the coupling problems of control software can be solved, algorithmic reuse of distributed control system can be improved.

Gas Emergence Big Data and neural network filter

The gas supervision is a safety core of the coal mine production, which widespread existent a trouble, gas emergence big data, namely the pulse interference, the cause of the gas signal mistake alarm, is hardly resolved very often. In this paper, the reason and characteristics of gas emergence big data are analyzed to establish a kind of filter based on BP Neural Network. Through great quantities monitor data as training sample to train the network model, and tested by test samples, we get the needed network model. Results show that the model can guarantee alarm occurrence while the gas density is beyond the limit, meanwhile preventing supervision system from mistake alarm caused by pulse interference. Applying this research can promote the robustness of existing coal mine safety supervision system without update any device, which can improve the safety production in both social meaning and economic value.

Service-oriented design and implementation strategy of real-time distributed embedded control software

Real-time embedded systems are core issue related to information technology and own huge application demand. This paper presents a service-oriented design methodology that reduces complexity by separating data-related computational parts and interaction among components. Architectures are composed hierarchically to manage embedded models and achieve real-time actor and architecture reuse. We introduce a notion of supervisor to manage the architecture and discuss how to aggregate individual componentpsilas computation into a well-defined composite computation from a view of interaction semantics contract. A component-oriented hierarchically real-time quality analysis and processing control system of manufacturing data in Kunming Iron & Steel Co, Ltd.(KISC) is implemented to prove the feasibility and flexibility of our methodology.