Method and system for detecting natural karst cave by muons

The invention discloses a method for detecting a natural karst cave based on cosmic ray muons. The method specifically comprises the following steps: constructing a system parameter model based on mountain shape data; arranging a muon detector outside the mountain; and reconstructing an internal thr...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: HE XIAOSUO, MO TIANZHU, HE QINGHUA, WANG MINGYANG, XIA LIQIAN
Format: Patent
Sprache:chi ; eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator HE XIAOSUO
MO TIANZHU
HE QINGHUA
WANG MINGYANG
XIA LIQIAN
description The invention discloses a method for detecting a natural karst cave based on cosmic ray muons. The method specifically comprises the following steps: constructing a system parameter model based on mountain shape data; arranging a muon detector outside the mountain; and reconstructing an internal three-dimensional image of the natural karst cave according to transmission muon data obtained by the muon detector. The karst cave detection system comprises a mountain shape data measuring device; a muon detection device; a data processing device; provided is an image reconstruction device. By using the karst cave detection method and system, unique advantages of cosmic ray muons, such as strong penetrating power and strong anti-interference capability, can be reasonably utilized, the position of a cavity can be positioned without entering the karst cave, and workers can be protected from health hazards caused by field exploration, so that a karst cave structure imaging reconstruction method and a detection device a
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN117741791A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN117741791A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN117741791A3</originalsourceid><addsrcrecordid>eNrjZLD2TS3JyE9RSMxLUSiuLC5JzVVIyy9SSEktSU0uycxLV8hLLCktSsxRyE4sKi5RSE4sS1VIqlTILc3PK-ZhYE1LzClO5YXS3AyKbq4hzh66qQX58anFBYnJqXmpJfHOfoaG5uYmhuaWho7GxKgBAJwnL00</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Method and system for detecting natural karst cave by muons</title><source>esp@cenet</source><creator>HE XIAOSUO ; MO TIANZHU ; HE QINGHUA ; WANG MINGYANG ; XIA LIQIAN</creator><creatorcontrib>HE XIAOSUO ; MO TIANZHU ; HE QINGHUA ; WANG MINGYANG ; XIA LIQIAN</creatorcontrib><description>The invention discloses a method for detecting a natural karst cave based on cosmic ray muons. The method specifically comprises the following steps: constructing a system parameter model based on mountain shape data; arranging a muon detector outside the mountain; and reconstructing an internal three-dimensional image of the natural karst cave according to transmission muon data obtained by the muon detector. The karst cave detection system comprises a mountain shape data measuring device; a muon detection device; a data processing device; provided is an image reconstruction device. By using the karst cave detection method and system, unique advantages of cosmic ray muons, such as strong penetrating power and strong anti-interference capability, can be reasonably utilized, the position of a cavity can be positioned without entering the karst cave, and workers can be protected from health hazards caused by field exploration, so that a karst cave structure imaging reconstruction method and a detection device a</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DETECTING MASSES OR OBJECTS ; GEOPHYSICS ; GRAVITATIONAL MEASUREMENTS ; MEASURING ; PHYSICS ; TESTING</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240322&amp;DB=EPODOC&amp;CC=CN&amp;NR=117741791A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25569,76552</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20240322&amp;DB=EPODOC&amp;CC=CN&amp;NR=117741791A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HE XIAOSUO</creatorcontrib><creatorcontrib>MO TIANZHU</creatorcontrib><creatorcontrib>HE QINGHUA</creatorcontrib><creatorcontrib>WANG MINGYANG</creatorcontrib><creatorcontrib>XIA LIQIAN</creatorcontrib><title>Method and system for detecting natural karst cave by muons</title><description>The invention discloses a method for detecting a natural karst cave based on cosmic ray muons. The method specifically comprises the following steps: constructing a system parameter model based on mountain shape data; arranging a muon detector outside the mountain; and reconstructing an internal three-dimensional image of the natural karst cave according to transmission muon data obtained by the muon detector. The karst cave detection system comprises a mountain shape data measuring device; a muon detection device; a data processing device; provided is an image reconstruction device. By using the karst cave detection method and system, unique advantages of cosmic ray muons, such as strong penetrating power and strong anti-interference capability, can be reasonably utilized, the position of a cavity can be positioned without entering the karst cave, and workers can be protected from health hazards caused by field exploration, so that a karst cave structure imaging reconstruction method and a detection device a</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DETECTING MASSES OR OBJECTS</subject><subject>GEOPHYSICS</subject><subject>GRAVITATIONAL MEASUREMENTS</subject><subject>MEASURING</subject><subject>PHYSICS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLD2TS3JyE9RSMxLUSiuLC5JzVVIyy9SSEktSU0uycxLV8hLLCktSsxRyE4sKi5RSE4sS1VIqlTILc3PK-ZhYE1LzClO5YXS3AyKbq4hzh66qQX58anFBYnJqXmpJfHOfoaG5uYmhuaWho7GxKgBAJwnL00</recordid><startdate>20240322</startdate><enddate>20240322</enddate><creator>HE XIAOSUO</creator><creator>MO TIANZHU</creator><creator>HE QINGHUA</creator><creator>WANG MINGYANG</creator><creator>XIA LIQIAN</creator><scope>EVB</scope></search><sort><creationdate>20240322</creationdate><title>Method and system for detecting natural karst cave by muons</title><author>HE XIAOSUO ; MO TIANZHU ; HE QINGHUA ; WANG MINGYANG ; XIA LIQIAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117741791A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DETECTING MASSES OR OBJECTS</topic><topic>GEOPHYSICS</topic><topic>GRAVITATIONAL MEASUREMENTS</topic><topic>MEASURING</topic><topic>PHYSICS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>HE XIAOSUO</creatorcontrib><creatorcontrib>MO TIANZHU</creatorcontrib><creatorcontrib>HE QINGHUA</creatorcontrib><creatorcontrib>WANG MINGYANG</creatorcontrib><creatorcontrib>XIA LIQIAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HE XIAOSUO</au><au>MO TIANZHU</au><au>HE QINGHUA</au><au>WANG MINGYANG</au><au>XIA LIQIAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method and system for detecting natural karst cave by muons</title><date>2024-03-22</date><risdate>2024</risdate><abstract>The invention discloses a method for detecting a natural karst cave based on cosmic ray muons. The method specifically comprises the following steps: constructing a system parameter model based on mountain shape data; arranging a muon detector outside the mountain; and reconstructing an internal three-dimensional image of the natural karst cave according to transmission muon data obtained by the muon detector. The karst cave detection system comprises a mountain shape data measuring device; a muon detection device; a data processing device; provided is an image reconstruction device. By using the karst cave detection method and system, unique advantages of cosmic ray muons, such as strong penetrating power and strong anti-interference capability, can be reasonably utilized, the position of a cavity can be positioned without entering the karst cave, and workers can be protected from health hazards caused by field exploration, so that a karst cave structure imaging reconstruction method and a detection device a</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN117741791A
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
DETECTING MASSES OR OBJECTS
GEOPHYSICS
GRAVITATIONAL MEASUREMENTS
MEASURING
PHYSICS
TESTING
title Method and system for detecting natural karst cave by muons
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-16T05%3A12%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=HE%20XIAOSUO&rft.date=2024-03-22&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN117741791A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true