Research On Attitude Monitoring Method And System For Single And Group Hydraulic Supports

Coal mine is an important part for supporting the development of national economy.For a long time,a lot of research work had been done around the improvement of coal mining efficiency at home and abroad,so that fully mechanized mining equipment had been widely applied.The function of the hydraulic support in the underground is the support the roof.To ensure its normal operation,it will also ensure the normal operation of other fully mechanized mining equipment and the safety of operators,so as to make the whole coal mining process proceed smoothly.Monitoring the attitude of hydraulic support can effectively reduce the failure rate,but there are many problems in the present attitude monitoring methods.Most of them can only monitor the single support,and can not integrate the monitoring data of the group support.The attitude calculation is inaccurate,the monitoring system is not perfect,and the monitoring is not timely.In this paper,Internet information technology,data fusion and analysis technology,sensor technology and human-machine interaction technology were applied.A single machine and a group of hydraulic supports were taken as the research object,and the attitude monitoring system of the single and the group support were used as the core to establish the attitude monitoring system of the hydraulic support.So that the monitoring system is more perfect and the monitoring is more timely and effective.First,the measurement angle was converted to the calculation angle,which was used as the calculation data of the multi angle average value algorithm to analyze the attitude of the single hydraulic support under the actual working condition.Secondly,based on the single hydraulic support,a memory attitude monitoring method of hydraulic support based on Grey-Markov theory was proposed.The method was based on Grey-Markov theory.According to the monitoring of hydraulic support,it was worthwhile to predict the relative parameters of memory attitude,and achieve lateral,longitudinal and group monitoring.After that,the attitude monitoring system was set up with the development environment of Kingview,SQL Server and Matlab as the tool,and the monitoring method of single and group hydraulic support attitude as the core.The system included single machine,group,video,report and alarm system.Finally,the test platform was established,according to the actual working condition,the support state of the hydraulic support.The operation process of the hydraulic support was simulated,the corresponding data was collected,and the monitoring method and system were verified.The results shown that the system could not only monitor the attitude of the single and the group hydraulic supports under the actual working condition,but also the monitoring process was more timely and accurate,which greatly reduced the occurrence of the accident under the well.The conclusions obtained in this paper are as follows:A multi angle fusion algorithm is proposed to analyze the attitude of hydraulic support.By multi angle fusion and taking into account the error of sensor's measurement angle and prediction angle,the attitude of a single hydraulic support is analyzed,which improves the accuracy of attitude calculation;A memory attitude monitoring method for hydraulic support based on Grey-Markov theory is proposed.The data fusion method can not only monitor the attitude of group hydraulic supports,but also improve the efficiency of data utilization.Based on the Grey theory,Markoff theory is applied.Using actual data instead of prediction data to improve the accuracy of prediction attitude.This method also makes the monitoring of hydraulic support attitude more timely;The attitude monitoring system of the hydraulic support is set up,which includes the possible attitude of the single hydraulic support in the actual working condition,and monitoring the relevant data of the single hydraulic support and the attitude of the group hydraulic support,which makes the monitoring range more comprehensive,conforms to the actual situation and effectively reduces the occurrence of the accident.The effectiveness of the method and system is verified through the establishment of a test bench.