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Design Of Remote Monitoring System For Blasting Equipment Transport Vehicle Based On GPS

Posted on:2020-07-10Degree:MasterType:Thesis
Country:ChinaCandidate:L WangFull Text:PDF
GTID:2392330578465008Subject:Electronic and communication engineering
Abstract/Summary:PDF Full Text Request
In recent years,explosion accidents during the transportation of explosives have occurred,and one of the important reasons for the accident is the lack of real-time monitoring means during the transportation of explosives.At present,there are few remote monitoring methods for blasting equipment transport vehicles,and the only one is to use a single data such as location information for broad monitoring.Aiming at this problem,a GPS-based remote monitoring system for blasting equipment transport vehicles is proposed.According to the characteristics of explosives,real-time monitoring and early warning of various state information of blasting vehicle transport vehicles is aimed at providing explosives a low cost,specialized remote monitoring system for transportation.The remote monitoring system of the blasting equipment transport vehicle is divided into two parts: the vehicle terminal and the monitoring server.The vehicle terminal is composed of a main control unit,a power supply unit,a GPS positioning unit,a communication unit,and each detection unit.The positioning data and each state information to be acquired are realized and are transmitted to the monitoring server according to a customized communication protocol by using the GPRS communication method.The wireless communication transmission mode is used to complete communication between the vehicle-mounted terminal and the server,and after the server receives the valid data,the data is filtered,analyzed,and stored in the database.The monitoring platform system accepts the B/S mode architecture design,and uses the Web front-end technology and Java technology to complete the construction of the front and back of the system,and realizes the real-time display of the vehicle position information on the electronic map by using the Gaode map API,and finally realizes through the browser.Monitoring functions such as explosives information management,abnormal transportation of explosives,environmental monitoring of explosives storage,vehicle trajectory monitoring,and real-time positioning of vehicles.In order to improve the positioning accuracy of the blasting equipment transport vehicle,based on the special motion state of the blasting equipment transport vehicle,the GPS dynamic filtering algorithm is studied.According to the relatively stable characteristics of the normal motion state of the blasting equipment transport vehicle,based on the "current" statistical motion model and the extended Kalman filter algorithm,the improved adaptive filtering algorithm is applied to improve the traditional adaptive algorithm based on the "current" statistical model.The positioning accuracy of the motorized moving object makes it more suitable for the positioning data filtering of the blasting equipment transport vehicle.Finally,an improved adaptive algorithm is applied to the monitoring server to calculate the optimal estimation of the latitude and longitude information of the blasting equipment transport vehicle,in order to reduce the error caused by various interferences during the transmission of GPS signals during vehicle transportation.In order to ensure the effectiveness of the algorithm,the experimental simulation is carried out by using MATLAB software,and the filtered data is compared and analyzed.According to the analysis results,the improved adaptive filtering algorithm can improve the GPS positioning accuracy of the blasting equipment transport vehicle.In the real environment,simulate the transportation environment of the blasting equipment transport vehicle,and deliberately create the conditions that trigger the alarm,complete the test of the vehicle’s various functions,and analyze the test results.
Keywords/Search Tags:blasting equipment transport vehicle, GPS, adaptive filtering algorithm, remote monitoring
PDF Full Text Request
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