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Design And Research On The Location And Evacuation System Of Logistics Warehouse Fire Personnel

Posted on:2021-04-14Degree:MasterType:Thesis
Country:ChinaCandidate:J Z HanFull Text:PDF
GTID:2428330632961361Subject:Logistics engineering
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With the increasing volume of online shopping year by year,the demand of the logistics industry has surged,and major logistics warehouses have been established in various parts of the country.However,due to the large amount of flammable materials in logistics storage,fire incidents often occur.Therefore,how to quickly and effectively evacuate the crowd when the logistics storage fire occurs,accurately search and rescue the trapped people,and reduce the casualties of the fire is the current problem.Existing rescue equipment at home and abroad is developed for rescuers.It is impossible to determine the location of trapped personnel and to assist the evacuation of the crowd.Therefore,based on the 5G signal,the thesis studies the fire evacuation and evacuation problems of the above logistics warehouse.The specific research work is as follows:1.Analyze the current situation and needs of the fire evacuation and evacuation of the logistics warehouse,and design the fire personnel evacuation system according to the requirements of the application scenarios.The system consists of multiple subsystems,the core functions of which are real-time personnel positioning in the logistics warehouse and rescue evacuation plan planning.2.Aiming at the impact of factors such as temperature and humidity changes,interference signals and noise on the time difference of arrival(TDOA)measurement in the event of a fire in the logistics warehouse,according to TDOA measurement in a physical experiment environment at 15? and 60%relative humidity The characteristics of the error,the TDOA measurement error elimination method is studied.A method to eliminate the TDOA measurement error by using the relationship equation between TDOA measurement value and TDOA measurement error is proposed.Through experimental testing,the positioning result with a probability of 83.46%reaches the meter-level positioning accuracy after eliminating the error.3.In the personnel positioning function,the standard Chan algorithm cannot perform three-dimensional coordinate positioning and solution and the positioning range is limited when the height of the base station is the same.The standard Chan algorithm calculation matrix is improved,and the reference base station selection and discrimination conditions are added.Combined with barometric altimetry,received signal strength algorithm and Taylor algorithm,a set of indoor personnel positioning system based on 5G positioning signal is proposed.Through experimental tests,more than 84.63%of the positioning results have reached meter-level positioning accuracy,which has greatly improved compared to the standard two-dimensional Chan algorithm.4.In the logistics warehousing fire scene,the standard particle swarm algorithm simulates the evacuation of particle overlap and the single problem of speed influencing factors,and studies the improvement of the particle swarm algorithm and the optimization of the evacuation model.An improved particle swarm optimization algorithm with the addition of hazardous areas,fire propagation speed and wall effects,and an evacuation model with crowd congestion are proposed.Finally,Dijkstra's algorithm is used for path planning with different heuristic functions.Through simulation,the improved evacuation path is safer,avoids congestion,and reduces evacuation time.
Keywords/Search Tags:logistics warehouse, fire, TDOA measurement error, Chan algorithm, particle swarm optimization
PDF Full Text Request
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