Zhen Hua

Mine Ventilation Optimization Analysis and Airflow Control Based on Harmony Annealing Search

The mine ventilation optimization and airflow control are the mine ventilation systems two important aspects, good ventilation optimization design can deliver fresh air to establish good work environment and provide a scientific and reliable basis to prevent disaster. Based on the air distribution request of the mine ventilation network, carries on the optimized computation to the mine ventilation system network, fuses the dynamic perturbation and the simulated annealing to improve the harmony search algorithm, the improved harmony search algorithm enhances the convergent speed, has overcome certain limitations of the traditional ventilation network optimizing control algorithm. In the mine ventilation analysis, the improved harmony search through proper tuning these parameters was presented. The simulation results show that the method outperforms the conventional nonlinear programming approach whether from the viewpoint of the number of iterations required to find the optimum solutions or from the final solutions obtained. Mine fire is a very complex physicochemical process. Once it happens, there are lots of poisonous and harmful gas ingredients. Additionally, the fume caused by the fire will block the vision and decrease the visibility, which will impede human evacuation and fire fighting, moreover, it is easy to cause the gas and coal dust explosion. So it is very important for the evacuation of miners and mining salvation to research the air flow control during mine fire. Airflow control based on harmony search has provided a scientific and reliable basis to develop disaster prevention and processing.

Mine Ventilation Optimization Design Based on Improved Harmony Search

Based on the air distribution request of the mine ventilation network, carries on the optimized computation to the mine ventilation system networks nonlinear programming mathematical model using harmony search, uses penalty functions method carries on transformation to the constraint equation, fuses the dynamic perturbation and the simulated annealing to improve the harmony search algorithm, the improved harmony search algorithm enhances the convergent speed, has overcome certain limitations of the traditional ventilation network optimizing control algorithm. Through solving the optimized model of the ventilation network, the simulation result shows that the overall energy consumption of the optimized single-fan ventilation system has a decrease of 1. 64 kW, with a decreasing rate of 1.94%, and the overall energy consumption of the optimized multiple-fan ventilation system has a decrease of 9.3965 kW, with a decreasing rate of 3.57%, has obtained the good optimized result.

Mine Airflow Optimizing Control Based on Harmony Annealing Search

Mine fire not only brings about great loss of coal resources and damage the whole mining system, but also causes the massive personnel casualty. Based on the air distribution request of the mine ventilation network, solves airflow quantitative optimizing control to the mine ventilation system networks nonlinear programming mathematical model using harmony annealing search, fuses the dynamic perturbation and the simulated annealing to improve the original harmony search algorithm, new harmony annealing search algorithm enhances the convergent speed, has overcome certain limitations of the traditional ventilation network optimizing control algorithm, obtains ventilation systems globally optimal solution, has provided a scientific and reliable basis to develop disaster prevention and processing.

An object color recognition algorithm based on study-expansion method

In the robot vision, the color is the essential information in the object recognition and cognition process. Here proposed one kind object identification algorithm based on the color characteristic with the YUV color space, uses the study — expansion algorithm to obtain the spatial distribution of the compatible object color characteristic, overcomes the influence that the environment illumination change withdraws to the object color characteristic, and the efficiency of the recognition is improved by using “bit-and” operation in the course of color clustering, the validity of the method is proved through actual applications.

A Nonlinear Model for the Circle of Willis Based on Hemodynamics

A mathematical control model of blood flow through the circle of Willis was developed, within a nonlinear framework. Based on systems viewpoint, the circle of Willis is fluid network system that is composed of four entrances and three communicating arteries. A nonlinear model is established for fluid network systems using lumped parameter approximations of incompressible Navier-Stokes equations and the graph theory of the circuit network, a nonlinear model is established for fluid network systems. This model provides the basis for the entire cerebral circulation networks parameter computation, and survey, also provides treatment reference for branch blood flow and pressure control based on Willis control system.

Adaptive fuzzy fault-tolerant voting mechanism based on EKF

In this paper, the adaptive fuzzy fault-tolerant voting mechanism has been proposed based on EKF, which can solve the bottleneck problem of voting when there are many fault-tolerant gyroscopes floating point input signals. Through connecting EKF in the original fuzzy voting mechanism, the adaptive fuzzy fault-tolerant voting mechanism has prevented the flaw that the fuzzy voting is unable to judge when the signal has a smaller deviation. Moreover, by designing another logical controller in EKF and combining EKF filter and the fuzzy logic method regulation measured residual and covariance matrix, we have achieved the real-time adjustment of the Q covariance and R covariance matrix of the EKF, which obtains better convergence value and avoids EKF causing the divergence phenomenon because of the mode abnormal or the information sloughing in the solution process. After simulation of four sets of gyroscopes that represent four sets of inertial navigation system, this adaptive fuzzy voting mechanism can decide the correct output, and this output may solve the question of the measured noise and the gyro error.

A Hemodynamics Minimal Model for the Cerebral Circulation of Willis Based on Graph Theory

Based on systems viewpoint, the cerebral circulation of Willis is fluid network system that is composed of four entrances and three communicating arteries. Using lumped parameter approximations of incompressible Navier-Stokes equations and the graph theory of the circuit network, a nonlinear minimal model is established for fluid network systems. This model provides the basis for the entire cerebral circulation networks parameter computation and survey, also provides treatment reference for branch blood flow and pressure control.

Analysis of Mine Ventilation Network Based on Harmony Search

Based on the air distribution request of the mine ventilation network, carries on the optimized computation to the mine ventilation system network, to find the global optimal solution for a mine ventilation network under given network topology and airway characteristics. The harmony search algorithm was used to find the global optimal solution of the network. An improved harmony search through proper tuning these parameters was presented. The simulation results show that the method outperforms the conventional nonlinear programming approach and genetic algorithm whether from the viewpoint of the number of iterations required to find the optimum solutions or from the final solutions obtained.

Error Analysis of LMS200 in Distance Measuring Application

The laser ranging has far detection range and high measurement accuracy and so on merits, is widely applied to navigation system of the autonomous robot, but different environmental conditions have different influence on transmission of the laser, producing errors of the various degree to measurement. Proposed ranging influence research of the laser ranging LMS200 which is used in the robot navigation under the dissimilar condition, through analyzing primary factor that affect LMS200 ranging in the room and outside, and makes the experimental contrast, obtains experimental effect under environmental influencing factor, discovers reflectivity, incidence, mixed pixel and visibility and so on environmental factor which effect on practical application truly, builds the foundation for carrying on ranging application of the robot navigation.