scholarly journals Fingerprinting Localization Method Based on TOA and Particle Filtering for Mines

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Boming Song ◽  
Shen Zhang ◽  
Jia Long ◽  
Qingsong Hu
Keyword(s):  
Particle Filtering ◽  
Production Efficiency ◽  
Access Point ◽  
Mine Safety ◽  
Manhattan Distance ◽  
Time Of Arrival ◽  
Localization Accuracy ◽  
Safety Production ◽  
Localization Signal ◽  
Localization Performance

Accurate target localization technology plays a very important role in ensuring mine safety production and higher production efficiency. The localization accuracy of a mine localization system is influenced by many factors. The most significant factor is the non-line of sight (NLOS) propagation error of the localization signal between the access point (AP) and the target node (Tag). In order to improve positioning accuracy, the NLOS error must be suppressed by an optimization algorithm. However, the traditional optimization algorithms are complex and exhibit poor optimization performance. To solve this problem, this paper proposes a new method for mine time of arrival (TOA) localization based on the idea of comprehensive optimization. The proposed method utilizes particle filtering to reduce the TOA data error, and the positioning results are further optimized with fingerprinting based on the Manhattan distance. This proposed method combines the advantages of particle filtering and fingerprinting localization. It reduces algorithm complexity and has better error suppression performance. The experimental results demonstrate that, as compared to the symmetric double-sided two-way ranging (SDS-TWR) method or received signal strength indication (RSSI) based fingerprinting method, the proposed method has a significantly improved localization performance, and the environment adaptability is enhanced.

scholarly journals Construction of Harmful Gas Monitoring System in Coal Mine Working Environment

2021 ◽  
Vol 252 ◽  
pp. 03057
Author(s):  
Yijie Li
Keyword(s):  
Environmental Monitoring ◽  
Monitoring System ◽  
Coal Mine ◽  
Production Efficiency ◽  
Monitoring Network ◽  
Environmental Data ◽  
Working Environment ◽  
Mine Safety ◽  
Coal Mine Safety ◽  
Safety Production

In order to improve the accuracy, sensitivity, reliability, stability and maintainability of the coal mine safety monitoring system, and enhance the coal mine safety guarantee ability, combined with the national coal mine environmental monitoring network construction scheme and the coal mine safety production and environmental monitoring management regulations, the coal mine safety production status and environmental data are analyzed. In order to improve the production efficiency and provide reliable guarantee for the safety production of coal mine, the monitoring system of harmful gas in the working site of coal mine roadway is established.

Role of pinnae and head movements in localizing pure tones 1The authors would like to thank Mr. Remi Humbert for implementing the experiment in Turbo Pascal and for his further assistance.

1999 ◽  
Vol 58 (3) ◽  
pp. 170-179 ◽  
Author(s):  
Barbara S. Muller ◽  
Pierre Bovet
Keyword(s):  
Sound Source ◽  
Head Movement ◽  
Movement Analysis ◽  
Head Movements ◽  
Sound Sources ◽  
Localization Accuracy ◽  
Sound Effects ◽  
Posterior Quadrant ◽  
Localization Performance ◽  
Pure Tones

Twelve blindfolded subjects localized two different pure tones, randomly played by eight sound sources in the horizontal plane. Either subjects could get information supplied by their pinnae (external ear) and their head movements or not. We found that pinnae, as well as head movements, had a marked influence on auditory localization performance with this type of sound. Effects of pinnae and head movements seemed to be additive; the absence of one or the other factor provoked the same loss of localization accuracy and even much the same error pattern. Head movement analysis showed that subjects turn their face towards the emitting sound source, except for sources exactly in the front or exactly in the rear, which are identified by turning the head to both sides. The head movement amplitude increased smoothly as the sound source moved from the anterior to the posterior quadrant.

Development and Application of the Coal Mine Safety Production System Based on GIS

2012 ◽  
Vol 14 (4) ◽  
pp. 454-459
Author(s):  
Xiaobo XU ◽  
Hualing WU ◽  
Jianqiang WANG ◽  
Shengping WANG
Keyword(s):  
Coal Mine ◽  
Production System ◽  
Mine Safety ◽  
Coal Mine Safety ◽  
Safety Production

Hardware Design of Coal Mine Safety Monitoring System Based on WSN

2012 ◽  
Vol 546-547 ◽  
pp. 1483-1488
Author(s):  
Shu Ren Han ◽  
Jun Wang ◽  
Ling Liang ◽  
Xian Peng Liu
Keyword(s):  
Monitoring System ◽  
Coal Mine ◽  
Hardware Design ◽  
Mine Safety ◽  
Sink Node ◽  
Function Structure ◽  
Gas Concentration ◽  
Coal Mine Safety ◽  
Safety Monitoring System ◽  
Safety Production

In the safety production of coal mine, monitoring exact and real-time mine parameter is very important and key problem. The monitoring system of mine environment with wireless is designed, which is based on the structure of wireless sensor network (WSN).The system includes sensor node, Sink node and monitoring center. In the paper, the function structure and hardware design of sensor are introduced for the monitoring of temperature, humidity and gas concentration, and the function structure and hardware design of sink node is designed. The system has low power, rapid real-timing, stable running. Etc. This can satisfy with the requirement of WSN and suit the monitoring of bad environments. It will have wide application prospect.

Sound-Localization Performance in the Cat: The Effect of Restraining the Head

2005 ◽  
Vol 93 (3) ◽  
pp. 1223-1234 ◽  
Author(s):  
Daniel J. Tollin ◽  
Luis C. Populin ◽  
Jordan M. Moore ◽  
Janet L. Ruhland ◽  
Tom C. T. Yin
Keyword(s):  
Short Duration ◽  
Saccadic Eye Movements ◽  
Head Movements ◽  
Gaze Shifts ◽  
Localization Accuracy ◽  
Head Restraint ◽  
The Gaze ◽  
Long Duration ◽  
Localization Performance ◽  
Visual Targets

In oculomotor research, there are two common methods by which the apparent location of visual and/or auditory targets are measured, saccadic eye movements with the head restrained and gaze shifts (combined saccades and head movements) with the head unrestrained. Because cats have a small oculomotor range (approximately ±25°), head movements are necessary when orienting to targets at the extremes of or outside this range. Here we tested the hypothesis that the accuracy of localizing auditory and visual targets using more ethologically natural head-unrestrained gaze shifts would be superior to head-restrained eye saccades. The effect of stimulus duration on localization accuracy was also investigated. Three cats were trained using operant conditioning with their heads initially restrained to indicate the location of auditory and visual targets via eye position. Long-duration visual targets were localized accurately with little error, but the locations of short-duration visual and both long- and short-duration auditory targets were markedly underestimated. With the head unrestrained, localization accuracy improved substantially for all stimuli and all durations. While the improvement for long-duration stimuli with the head unrestrained might be expected given that dynamic sensory cues were available during the gaze shifts and the lack of a memory component, surprisingly, the improvement was greatest for the auditory and visual stimuli with the shortest durations, where the stimuli were extinguished prior to the onset of the eye or head movement. The underestimation of auditory targets with the head restrained is explained in terms of the unnatural sensorimotor conditions that likely result during head restraint.

Prediction and Analysis of Safety Production Accident in Mining Based on the GM(1,1)

2014 ◽  
Vol 989-994 ◽  
pp. 3443-3446
Author(s):  
Chen Fang Jiang ◽  
Ke Peng Hou ◽  
Hua Fen Sun
Keyword(s):  
Production Management ◽  
Management Practices ◽  
Safety Management ◽  
High Accuracy ◽  
Mine Safety ◽  
Grey Theory ◽  
Procedure Code ◽  
Safety Production ◽  
Mine Accidents

According to the grey theory, in order to predict and prevent accident effectively, the paper built a grey model and forecast the mine accidents in china in 2013 based on the statistics of mine accidents happened in China during period from 2007 to 2012. MATLAB was used to write procedure code of GM (1, 1) and empirical verification follows. The prediction results show that if high accuracy goes with the precision of the calculable model, which could be used to provide the basis for decision making to the safety production management practices in China. This case study indicates that GM (1, 1) plays an important role in mine safety management.

Fault Tree Analysis on Hydraulic System Causing Fire of Heavy Self-Dumping Truck

2012 ◽  
Vol 619 ◽  
pp. 425-430
Author(s):  
Chang Su ◽  
Wei Jia Su
Keyword(s):  
Hydraulic System ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Spare Parts ◽  
Mine Safety ◽  
Prevention Measures ◽  
Oil Leakage ◽  
Spare Parts Management ◽  
Safety Production ◽  
Fire Accident

The fire accident of heavy mineral self-dumping truck is one of the most serious disaster in mine safety production. Research on the reasons that cause fire accident is an important study for ensuring safety production. By analyzing three elements that constitute self-dumping truck fire accident, the characteristics and easy ignition points as well as major combustion parts of self-dumping truck fire accident, we confirm that the hydraulic system leakage is the major factor that causes fire. To find out the fault reason of hydraulic system oil leakage, we analyze the composition and working principle of self-dumping truck, establish leakage fault tree of hydraulic system. Based on logic relationships between each fault and fire, we get the following conclusion: hydraulic tubing damage is the highest probability event that causes oil leakage fault. In addition, we should pay attention to spare parts management factor, correct driving factor and equipment management factor. We also propose the prevention measures of leakage and fire

Risk assessment of coal mine safety production management activities based on FMEA-BN

2021 ◽  
pp. 1-14
Author(s):  
Xiaochuan Wang ◽  
Huixian Wang
Keyword(s):  
Risk Assessment ◽  
Coal Mine ◽  
Production Management ◽  
Assessment Model ◽  
Mine Safety ◽  
Risk Level ◽  
Layer By Layer ◽  
Effect Analysis ◽  
Coal Mine Safety ◽  
Safety Production

At present, the situation of coal mine safety production is still grim. The key to solve the problem is to analyze the risk of management activities in the process of coal mine safety production. This paper takes the management activities in the process of coal mine safety production as the research object. Firstly, according to the coal mine safety production standardization management system, the safety production management activities are carried out layer by layer. Then, the Failure Mode and Effect Analysis (FMEA) is used to identify the human errors that lead to the failure of management activities at all levels of coal mine. Furthermore, the Fuzzy Set Theory is used to determine the evaluation results of experts on the risk level of coal mine safety production management activities. Combined with Bayesian network (BN), the risk assessment model of coal mine safety production management activities is established. Through the model, the risk probability of coal mine enterprise management activities is accurately calculated. According to the evaluation results, the risk of management activities in coal mine safety production is analyzed.

Reducing Tracking Error in RFID Real-Time Localization Systems Using Kalman Filters

2014 ◽  
Vol 5 (3) ◽  
pp. 1-24
Author(s):  
Benjamin Sanda ◽  
Ikhlas Abdel-Qader ◽  
Abiola Akanmu
Keyword(s):  
Real Time ◽  
Radio Frequency Identification ◽  
Kalman Filters ◽  
Tracking Error ◽  
Time Of Arrival ◽  
Indoor Environments ◽  
Real World Data ◽  
Localization Accuracy ◽  
Accurate Localization ◽  
Localization Systems

The use of Radio Frequency Identification (RFID) has become widespread in industry as a means to quickly and wirelessly identify and track packages and equipment. Now there is a commercial interest in using RFID to provide real-time localization. Efforts to use RFID technology in this way experience localization errors due to noise and multipath effects inherent to these environments. This paper presents the use of both linear Kalman filters and non-linear Unscented Kalman filters to reduce the error rate inherent to real-time RFID localization systems and provide more accurate localization results in indoor environments. A commercial RFID localization system designed for use by the construction industry is used in this work, and a filtering model based on 3rd order motion is developed. The filtering model is tested with real-world data and shown to provide an increase in localization accuracy when applied to both raw time of arrival measurements as well as final localization results.

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