TN295 No. 9261; >. * ^'•^<\ <^' *^M^^ ""- ./Vak-\. ^°^:^^^"^ /^-^'S ^^-n^.. ". «'i<^^ > %.^" • *°o • a Vv ^^-^^^ • •<> 4* «•"• *^ '" • » • <^ <^^ • . . • 'bV" • «<> ^9^ AN « ^Sv\\n^» "X .<&^ / ^/•'^V* V'?^-\'^* %/-J^-v V-^-"\-* \'-^^'\'^' \"-- IC 9261 BUREAU OF MINES INFORMATION CIRCULAR/1990 Fire Location Model By John C. Edwards „ YEARS ,<>, ^^AU OF ^' U.S. BUREAU OF MINES 1910-1990 THE MINERALS SOURCE Mission: Asthe Nation's principal conservation agency, the Department of the Interior has respon- sibility for most of our nationally-owned public lands and natural and cultural resources. This includes fostering wise useof our land and water resources, protecting our fish and wildlife, pre- serving the environmental and cultural values of our national parks and historical places, and pro- viding for the enjoyment of life through outdoor recreation. The Department assesses our energy and mineral resources and works to assure that their development is in the best interests of all our people. The Department also promotes the goals of the Take Pride in America campaign by encouraging stewardship and citizen responsibil- ity for the public lands and promoting citizen par- ticipation in their care. The Department also has a major responsibility for American Indian reser- vation communities and for people who live in Island Territories under U.S. Administration. Information Circular 9261 Fire Location IVIodei By John C. Edwards UNITED STATES DEPARTMENT OF THE INTERIOR Manuel Lujan, Jr., Secretary BUREAU OF MINES T S Ary, Director ^0' Library of Congress Cataloging in Publication Data: Edwards, John C. Fire location model / by John C. Edwards. p. cm. - (Information circular / Bureau of Mines; 9261) Includes bibliographical references (p. ). Supt. of Docs, no.: I 28.27:9261. 1. Mine fires-Prevention and control-Data processing. 2. Smoke-Diffusion rate-Data processing. 3. FORTRAN (Computer program language) I. Title. II. Series. III. Series: Information circular (United States. Bureau of Mines); 9261. TN295.U4 [TN315] 622 s-dc20 [622'.82] 90-2096 CIP CONTENTS Page Abstract 1 Introduction 2 Model description 2 Application 3 Conclusions 9 Appendix-FORTRAN computer program 10 ILLUSTRATIONS 1. Mine ventilation plan 4 2. Mesh structure for computer model 5 3. Travel times for each jiirway 5 4. Time lag for smoke detectors 7 5. Partition of network into zones by lag time 8 TABLES 1. Input data file 3 2. Airway dimensions 3 3. Computer-generated minimum travel time paths 6 UNIT OF MEASURE ABBREVIATIONS USED IN THIS REPORT cfm cubic foot per minute min minute ft foot pet percent e square foot FIRE LOCATION MODEL By John C. Edwards^ ABSTRACT A fire location computational model was developed by the U.S. Bureau of Mines. The model can determine all the possible paths in a mine that smoke can travel from a fixed fire source to a smoke detector. The associated FORTRAN computer program can be utilized to determine the minimum travel time from a source fire to a smoke detector. The difference in travel time from an isolated fire source to two or more detectors can be used to isolate those airways in which the source fire is located. ^Research physicist, Pittsburgh Research Center, U.S. Bureau of Mines, Pittsburgh, PA. INTRODUCTION The early detection of a fire in a mine is necessary for the informed implementation of miner evacuation. The placement of smoke detectors throughout the mine net- work is the obvious strategy to follow. In general, several detectors will be installed. The inherent complexity of the mine network, in the case of a metal or nonmetal mine, can pose a formidable problem for the interpretation of the signals received by several smoke detectors located throughout the mine network. The smoke from a source fire will travel with the mine ventilation, and be diluted at airway jimctions. The prediction of Jiirway ventilation in a mine network with the edrflow controlled by fans and natu- ral ventilation is amenable to computer generated solutions both for the 2drflow quantity and the concentration of the products of combustion that emanate from a fire source.^ If the mine ventilation is known, either measured or pre- dicted with the mine ventilation computer program,^ dif- ferences in arrivid times of smoke from a source fire to several detectors can be used to isolate the location of the fire. As part of its research program to develop a mine fire detection strategy, the U.S. Bureau of Mines devel- oped a FORTRAN computer program that can be used to determine the minimum travel time from a fire source to a smoke detector. This requires an enumeration by the program of all the possible paths available to the smoke. This approach, while a significant factor in the isolation of a mine fire location, is not without limitations. The total number of possible paths increases rapidly with an increase in the number of airways. The computations presented in this report are limited to paths that individuaUy consist of at most nine airways. However, the structure of the pro- gram permits an extension of the model to paths that are defined by any finite number of eiirways provided adequate computer memory is available. The model developed in this report has apphcations both in the planning for the location of detectors in a mine, and in the mine emergency stage. To determine the optimum location of fire detectors, the mine network can be divided into zones, each of which is associated with a difference in calculated smoke arrival time between a pair of detectors. For established mine ventilation, this promotes the efficient selection of detector sites. In the event of a fire, the information is then available to deter- mine in which zone the fire is located. This can assist in miner escape route planning. A fire can alter the ventila- tion, and possibly induce flow reversal. If the new ventila- tion produced by the fire can be quzmtified, then the pro- gram can be applied for the given distribution of detectors and new ventilation to isolate the zone in which the fire occurs. In practice, observations made within the mine in the event of a mine emergency can be used to further iso- late the zone in which the fire is located. MODEL DESCRIPTION The strategy of the model is to determine the differ- ence between signal (smoke) arrival times at several detectors. This should isolate the region of the mine in which the source fire is located. The mine network is rep- resented by a grid of airways that intersect at junctions. For the current model, it is assumed that each junction forms the intersection of exactly two airways. The network of intersecting airways is arranged as an intersection of M rows zmd N columns. This is possible since it is assimied that exactly four airways join at a junction. If less thzm four airways join at a jimction for a particular mine repre- sentation, then additional airways with zero airflow are Edwards, J. C, and R, E. Greuer. Real-Time Calculation of Product-of-Combustion Spread in a Multilevel Mine. BuMines IC 8901, 1982, 117 pp. Edwards, J. C, and J. S. Li. Computer Simulation of Ventilation in Multilevel Mines. Paper in Proceedings, Third International Mine Ventilation Congress, Harrogate, England. Inst, of Min. and Metall., London, 1984, pp. 47-51. Orederkirk, S. J., W. H. Pomroy, J. C. Edwards, and J. Marks. Mine Stench Fire Warning Computer Model Development and In-Mine Validation Testing. Paper in Proceedings, Second U.S. Mine Ventilation Symposium (Univ. NV-Reno, Sept. 23-25, 1985), ed. by P. Mousset-Jones. Balkema, 1985, pp. 29-35. ^First work cited in footnote 2. added to complete the matrix representation of the network. The approach is a systematic determination of all possi- ble paths from an assumed fire source location to the air- way designated as the detection airway. For a path con- taining a specified number of airways (I), there is a maximum of 4' distinct possible paths that emanate from a selected jimction. This might be visualized as a tree structure in which the termination of each limb is the source of four airways. Of these paths, a smaller nxmiber will contain the detection airway. Of the latter quantity, a further subset will be consistent with the established air- flow throughout the mine network. A specific application is for a fixed ventilation in the mine. If a flow reversal should occur as a resxilt of a fire, the program is applied for the new ventilation plan. From this last selected group, there will be a single path representative of the minimum travel time. The difference between the minimum travel times to two detectors from a fixed fire source at a speci- fied jimction is characteristic of a region of the network that may contain other such jimctions. To establish these regions, this procedure is repeated for each and every junction in the network. The evaluation of the minimum time travel paths is accomplished with the FORTRAN computer program in the appendix. Table 1. -Input data file ■ BRANCH.DAT Card 1 Column Format Symbol Definition 1 6-10 15 MSP Total number source junctions. 16-20 '5 MST Total number detection airways. 2 1-80 4(5x,l5)^ ISP Source junction numbers. 3 1-80 4(5x,l5)^ 1ST Detection ainway numbers. 4 6-10 15 NJ Number of junctions. 16-20 15 NBT Number of airways. 26-30 15 N Number of columns for 2d template. 36-40 15 M Number of rows for 2d template. 5^ . . . 6-10 15 NO Airway number. 16-20 15 NA Start junction for ainvay NC. 26-30 15 NB Rnish junction for airway NC. 33-43 F10.5 Q Volumetric airflow in ainway NC (cfm). 46-56 F10.5 DS Length of airway NC (ft). 59-64 F5.1 AR Cross-sectional area of airway NC (ft^). 'Total required equals number of airways (NBT). ^Defines four values, each with format 15 and separated by five blank spaces. It is already apparent that the Umiting characteristic of this model is the number of paths, 4', each of which contains I airways, that must be constructed by the com- puter program. This total coimt includes retracement along airways. The memory restrictions of the computer system for the application in this report have limited the definition of a path to at most nine airways. Each node in the network is the soiuce of 4' = 262,144 distinct paths. This restriction involves superfluous counting, and must be unproved upon in a subsequent effort. However, the method is accurate, and serves to demonstrate a strategy for smoke detection in a mine network. Utilization of the model requires the preparation of several templates (diagremis). The first template is a representation of the physical mine network by branches that intersect at nodes. The steady-state airflow for the mine network is either measured, or calculated with the mine ventilation computer program.* The second template is a relabelling of the mesh air- ways and junctions to make it compatible with the model format requirements for the computer program. As stated earUer, the jimctions aie. arremged in M rows and N columns. The junctions, MN in number, are ordered se- quentiadly with junctions 1, 2,..., N in the first row, junctions N+ l,N-i-2,...,2N in the second row, and junctions MN-N-i-l,MN-N-i-2,...,MN in the top row, row M. The junction numbers in the first column are 1,N+1,...,MN- N+1, in the second column aie junctions 2,N-I-2,...,MN- N+2, and the last coliunn, column N, is formed by jimc- tions N,2N,...,MN. Although the structiu-e of the mesh is critical from a program apphcation viewpoint, it is not necessary to maintain a proportionahty among airway lengths that scales with the junction separation distances. Table 1 shows the required format for the input data file, BRANCH.DAT. In the next section, an application is pre- sented that demonstrates the program utUity. APPLICATION Consider the mine ventilation plan for a section of a triple entry with crosscuts as shown in figure 1. The ven- tilation is established by a fan in airway No. 21. The dimensions of the jiirways are shown in table 2. For this study, because of the limitation upon the munber of air- ways that can constitute a path, only a section of the triple entry is considered. The ventilation plan was estabUshed with an application of the Bureau's ventilation computer program.' It was possible to eliminate junction 14 and combine airways 20 and 21 into a single cdrway in the ven- tilation plan prior to construction of the second template without any loss of information. First work cited in footnote 2. ^First work cited in footnote 2. Table 2.-Alrway dimensions Airway 1 . 2 . 3 . 4 . 5 . 6 . 7 . 8 . 9 . 10 11 12 DS, ft AR, ft^ 5,000 2,000 2,000 2,000 200 200 2,000 2,000 200 200 2,000 2,000 54 54 54 54 36 36 54 54 36 36 54 54 Airway 13 14 15 16 17 18 19 20 21 22 23 AR Cross-sectional area of airway. DS Length of airway. DS, ft AR, ft^ 200 200 2,000 2,000 200 200 5,000 4,990 10 200 200 36 36 54 54 36 36 54 54 54 36 36 Qy (4) 3,812 3,812 ■^ (5) 867 2,355 6h- 1 1 (6) (7) (9) 1,456 4> KEY V^ Junction (7) Airway ^Airflow direction 13,783 Airflow, cfm (3) 2,944 €> (2) 6,420 (II) 9,365 ay ;i) (13) 11,937 3,259 (b- (8) 2,670 t. (15) 21,302 (17) 21,302 (10) 8,168 2,355 4) (12) 4,418 19) ;io) (1) KEY Q£) Junction (7) Airway ^Airflow direction at (20) (15) (II) (6) 2y^ (2) @- (21) (16) (12) (7) ^ (3) ^ (221 (17) Qy (13) (8) (4) Figure 2.-Mesh structure for computer model. ■® (18) ■m (9) 4) 45.86 KEY 6.21 Airway travel time, min 28.33 36.68 11.53 12.67 1.89 8.30 1.12 0.60 74.18 40.45 24.44 12.17 3.06 2.21 0.88 0.24 19.23 7.84 6.21 Figure 3.-Travel times for each airway. 0.34 0.17 Table S.-Computer-generated minimum travel time paths Source junction Airway path (see fig. 2) Minimum travel and detection branch time, min Junction 1: 13 5,14,19,15,11,12,13... 118.65 22 5,14.19,20,21,22 94.17 14 5, 14 4.95 Junction 2: 13 6, 11, 12, 13 79.27 22 6,11,16,21,22 67.99 14 1,5, 14 50.81 Junction 3: 13 7, 12, 13 37.50 22 7,16,21,22 26.21 14 2, 1,5, 14 70.04 Junction 4: 13 8, 13 12.41 22 8, 17, 22 13.52 14 3,2,1,5,14 77.88 Junction 5: 13 4, 8, 13 18.62 22 4, 8, 17, 22 19.73 14 4, 3, 2, 1, 5, 14 84.08 Junction 6: 13 14,19,15,11,12,13 115.59 22 14,19,20,21,22 91,11 14 14 1.89 Junction 7: 13 11, 12, 13 77.06 22 11,16,21,22 65.78 14 10, 14 76.06 Junction 8: 13 12, 13 36.61 22 16,21,22 25.33 14 12,13,9,4,3,2,1,5,14.. 120.87 Junction 9: 13 13 12.17 22 17, 22 13.28 14 13,9,4,3,2,1,5.14 96.42 Junction 10: 13 9, 4, 8, 13 18.79 22 9, 4, 8, 17. 22 19.89 14 9, 4, 3, 2, 1, 5, 14 84.25 Junction 11: 13 19,20,21,22,18,9,4,8.. 108.35 22 19.20,21,22 89.22 14 19,15,10,14 112.70 Junction 12: 13 20,21,22,18,9.4,8,13.. 80.02 22 20,21,22 60.89 14 15, 10, 14 84.37 Junction 13: 13 21,22,18,9,4.8,13 43.33 22 21. 22 24.21 14 (1) (1) Junction 14: 13 22.18,9,4,8.13 31.80 22 22 12.67 14 22.18.9,4,3,2.1,5,14.. 97.26 Junction 15: 13 18, 9. 4. 8. 13 19.12 22 18, 9, 4. 8, 17, 22 20.23 14 18,9.4.3.2,1,5,14 84.59 ^Excessive ainways (greater than 9) in path. that the mesh under consideration should be composed of In order to increase the range of applicability of the no more airways them twice the nimiber of allowed airways computer program, several options are aveulable. The that can define a path. This hypothesis reqtiires additional most direct route is an increase in computer memory and testing. speed. An alternative is to develop a method that can be used to subdivide a mine network into smaller networks; apply the program to individual smaller networks; and properly synthesize the information developed from the smaller networks in order to develop minimum travel time paths for smoke in the mine. This is a subject of future research. The minimum travel time data in table 3 can be used to estimate the difference in smoke arrival time at the end of designated airways from each junction considered to be the location of the source fire. Figure 4 shows the relative differences in the smoke minimum arrival time at the end of airways 13, 14, and 22 for each hypothetical source junction. The negative sign indicates a reversal in the order of arrivid of smoke at the end of each of the desig- nated airways. As an example, consider a fire located at junction 11. According to table 3, the minimum travel time from junction 11 to airway 13 is 108.35 min. The m inim um travel time from jimction 11 to airway 22 is 89.22 min. The time lag between the time of first arrival of the smoke at the end of airways 13 and 22 is 19.13 min, and is so indicated in figure 4. It is apparent from the application presented in figure 4 that a single pair of detectors does not uniquely deter- mine the fire source. A consideration of detectors only in airways 13 and 22 leads to a partition of the mesh into four zones. Each zone is defined by those airways that, if they contained the source fire, would produce the desig- nated arrival time difference at the detectors in airways 13 and 22. The airways are determined by inspection of figure 4. The junctions identified with a fixed time differ- ence and the airflow direction in the airways associated with each of the junctions determines the airways that form a particular zone. Zone 1 contains jimctions 1 and NA Junction Airway KEY Time lag, min, for airways Airflow direction Not available '13-22 ! 13-14 .22-14 (19) 19.13 -4.35 •23.48 19.13 -4.35 ■23.48 -©r (14) 24.48 I 13.70 89.22 (t> (10) (15) I 1.28 1.00 - 10.28 ^ (5) 24.48 I I 3.70 89.22 (I) (6) (22) 19.13 •65.46 ■84.59 (16) 11.28 -84.26 -95.54 ■® (12) ® -I.I I -65.47 -64,36 (17) (2) -I.I I -84.25 -83.14 ®r (7) - m z m S2 (/> ^ "'^tt 3 C^ (O O "D ■D O 30 H C Z m O -< m 3J 89 91 °o A , ■^o\> 0\*i'' ••• 'ftp' '^'^ **"'•**< <^ ,0^ • ' * ' W^\^J^>;V c°^^^^^o /.-^^ -.^ , t'^ .!•»- iV i^ 13 M/ J9M. \N * A.* ^-^ <^^ oO« A <* *-'Tri^* .0^ '*3, '0,1* A 1" * «5^c^N^* "J^ « V 6 « " » « <*U •» »^ i*' -^. • • . * • .«o