Zhilin Zhu

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.

Vibration measurement system based on position sensitive detector

Purpose – Vibration measurement is needed in many industrial production processes, such as equipment monitoring, fault diagnosis, and noise analysis and eliminating and so on. The purpose of this paper is to propose a simple vibration testing system which includes the laser, the string, position sensitive detector (PSD) and the corresponding signal processing circuit.Design/methodology/approach – PSD is an optical semiconductor sensor that can fast locate the luminous spot position precisely, which means that it can output different electric current according to the luminous spot at different position of its surface. Moreover, the experiment on PSD sensor using different vibration source and frequency had been carried out. Finally, the vibration waveform of the luminous spot on PSD photosurface was obtained.Findings – According to the experimental results, each kind of vibration parameter with different vibration source, such as vibration frequency and amplitude can be calculated.Originality/value – The e...

BIN-PACKING ALGORITHMS FOR PERIODIC TASK SCHEDULING

As the extension of off-line bin-packing problem, periodic task scheduling has many important applications in real-time distributed systems. For time triggered CAN control systems, two strategies to determine basic cycle(BC) of TTCAN are presented. Next-fit algorithm, next-fit decreasing algorithm, best-fit algorithm and best-fit decreasing algorithm are proposed to construct periodic task scheduling tables. Time complexity and worst-case asymptotic performance ratio of these algorithms are analyzed, and experiment results are compared in different problem size.

Bin-packing Algorithms for Periodic Task Scheduling

As the extension of off-line bin-packing problem, periodic task scheduling has many important applications in real-time distributed systems. For time triggered CAN control systems, two strategies to determine basic cycle(BC) of TTCAN are presented. Next-fit algorithm, next-fit decreasing algorithm, best-fit algorithm and best-fit decreasing algorithm are proposed to construct periodic task scheduling tables. Time complexity and worst-case asymptotic performance ratio of these algorithms are analyzed, and experiment results are compared in different problem size.

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.