On-site emergency response in mine B.
<div><p>Gas explosions in coal mines pose a serious threat to miner safety and operational sustainability, often resulting in significant casualties and production losses. To address the deficiencies in emergency decision-making and preparedness, this study proposes a case-based reasonin...
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| مؤلفون آخرون: | , |
| منشور في: |
2025
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| _version_ | 1852016700029927424 |
|---|---|
| author | Dongling Ma (1269888) |
| author2 | Jingwen Kuang (22232525) Minyuan Zhang (22232528) |
| author2_role | author author |
| author_facet | Dongling Ma (1269888) Jingwen Kuang (22232525) Minyuan Zhang (22232528) |
| author_role | author |
| dc.creator.none.fl_str_mv | Dongling Ma (1269888) Jingwen Kuang (22232525) Minyuan Zhang (22232528) |
| dc.date.none.fl_str_mv | 2025-09-11T17:47:59Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0331711.t001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/On-site_emergency_response_in_mine_B_/30107702 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Neuroscience Ecology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified simulation results demonstrate scientifically grounded reference quantify key descriptive population genetic algorithm historical accident cases good .&# 8221 evaluated plan rated coal mines pose proposed emergency plans practical emergency responses emergency response planning emergency plan execution study outlines implementation fair &# 8221 coal mine enterprises based weighting method similar case matching model yields reliable study proposes mine b based reasoning &# 8220 emergency decision target case significant casualties serious threat safeguard measures relative importance related attributes production losses operational sustainability often resulting neural network nearest neighbor miner safety improved k cloud model case adaptation |
| dc.title.none.fl_str_mv | On-site emergency response in mine B. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <div><p>Gas explosions in coal mines pose a serious threat to miner safety and operational sustainability, often resulting in significant casualties and production losses. To address the deficiencies in emergency decision-making and preparedness, this study proposes a case-based reasoning (CBR) model for emergency response planning, using a representative gas explosion incident at Mine B as the target case. Historical accident cases were analyzed to extract and quantify key descriptive and decision-related attributes. A cloud model-based weighting method was employed to determine the relative importance of features, followed by improved K-nearest neighbor (KNN) retrieval for similar case matching. A multi-population genetic algorithm (MEA) was used to optimize the weights and thresholds of a backpropagation (BP) neural network for case adaptation and reuse. The cloud model was further introduced to evaluate the effectiveness of the proposed emergency plans. Simulation results demonstrate that the model yields reliable and practical emergency responses, with the evaluated plan rated between “fair” and “good.” Finally, this study outlines implementation and safeguard measures for emergency plan execution, offering a scientifically grounded reference for coal mine enterprises to enhance gas explosion preparedness and response efficiency.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_b3128dfd8a39b89082dea84ea68a4553 |
| identifier_str_mv | 10.1371/journal.pone.0331711.t001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30107702 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | On-site emergency response in mine B.Dongling Ma (1269888)Jingwen Kuang (22232525)Minyuan Zhang (22232528)NeuroscienceEcologyEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedsimulation results demonstratescientifically grounded referencequantify key descriptivepopulation genetic algorithmhistorical accident casesgood .&# 8221evaluated plan ratedcoal mines poseproposed emergency planspractical emergency responsesemergency response planningemergency plan executionstudy outlines implementationfair &# 8221coal mine enterprisesbased weighting methodsimilar case matchingmodel yields reliablestudy proposesmine bbased reasoning&# 8220emergency decisiontarget casesignificant casualtiesserious threatsafeguard measuresrelative importancerelated attributesproduction lossesoperational sustainabilityoften resultingneural networknearest neighborminer safetyimproved kcloud modelcase adaptation<div><p>Gas explosions in coal mines pose a serious threat to miner safety and operational sustainability, often resulting in significant casualties and production losses. To address the deficiencies in emergency decision-making and preparedness, this study proposes a case-based reasoning (CBR) model for emergency response planning, using a representative gas explosion incident at Mine B as the target case. Historical accident cases were analyzed to extract and quantify key descriptive and decision-related attributes. A cloud model-based weighting method was employed to determine the relative importance of features, followed by improved K-nearest neighbor (KNN) retrieval for similar case matching. A multi-population genetic algorithm (MEA) was used to optimize the weights and thresholds of a backpropagation (BP) neural network for case adaptation and reuse. The cloud model was further introduced to evaluate the effectiveness of the proposed emergency plans. Simulation results demonstrate that the model yields reliable and practical emergency responses, with the evaluated plan rated between “fair” and “good.” Finally, this study outlines implementation and safeguard measures for emergency plan execution, offering a scientifically grounded reference for coal mine enterprises to enhance gas explosion preparedness and response efficiency.</p></div>2025-09-11T17:47:59ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0331711.t001https://figshare.com/articles/dataset/On-site_emergency_response_in_mine_B_/30107702CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/301077022025-09-11T17:47:59Z |
| spellingShingle | On-site emergency response in mine B. Dongling Ma (1269888) Neuroscience Ecology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified simulation results demonstrate scientifically grounded reference quantify key descriptive population genetic algorithm historical accident cases good .&# 8221 evaluated plan rated coal mines pose proposed emergency plans practical emergency responses emergency response planning emergency plan execution study outlines implementation fair &# 8221 coal mine enterprises based weighting method similar case matching model yields reliable study proposes mine b based reasoning &# 8220 emergency decision target case significant casualties serious threat safeguard measures relative importance related attributes production losses operational sustainability often resulting neural network nearest neighbor miner safety improved k cloud model case adaptation |
| status_str | publishedVersion |
| title | On-site emergency response in mine B. |
| title_full | On-site emergency response in mine B. |
| title_fullStr | On-site emergency response in mine B. |
| title_full_unstemmed | On-site emergency response in mine B. |
| title_short | On-site emergency response in mine B. |
| title_sort | On-site emergency response in mine B. |
| topic | Neuroscience Ecology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified simulation results demonstrate scientifically grounded reference quantify key descriptive population genetic algorithm historical accident cases good .&# 8221 evaluated plan rated coal mines pose proposed emergency plans practical emergency responses emergency response planning emergency plan execution study outlines implementation fair &# 8221 coal mine enterprises based weighting method similar case matching model yields reliable study proposes mine b based reasoning &# 8220 emergency decision target case significant casualties serious threat safeguard measures relative importance related attributes production losses operational sustainability often resulting neural network nearest neighbor miner safety improved k cloud model case adaptation |