Big data characteristic parameter early warning device and method

The invention relates to the field of fire early warning, in particular to a big data characteristic parameter early warning device and method. The fire characteristic data acquisition module is used for acquiring fire characteristic data in groups; the early warning module is in communication conne...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: CHENG ZENG, QIAO DIANDIAN, WANG PEIRAN, LI BIN, HUANG DIANJUN, DUAN XIAOLEI
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 CHENG ZENG
QIAO DIANDIAN
WANG PEIRAN
LI BIN
HUANG DIANJUN
DUAN XIAOLEI
description The invention relates to the field of fire early warning, in particular to a big data characteristic parameter early warning device and method. The fire characteristic data acquisition module is used for acquiring fire characteristic data in groups; the early warning module is in communication connection with the fire feature data acquisition module so as to extract features of a group of fire feature data, analyze whether the development trend of the group of fire feature data is a rising trend or a non-rising trend, and send an early warning signal when the development trend of the fire feature data is judged to be the rising trend; the big data characteristic value parameter module is used for judging the development trend of the next group of fire characteristic data when the development trend of the fire characteristic data is judged to be a non-rising trend; and an early warning module which is in communication connection with the big data characteristic value parameter module, receives an early warning
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN114283569A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN114283569A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN114283569A3</originalsourceid><addsrcrecordid>eNrjZHB0ykxXSEksSVRIzkgsSkwuSS3KLC7JTFYoAPJyU4FchdTEopxKhfLEorzMPKDa1LLM5FSFxLwUBaB0Rn4KDwNrWmJOcSovlOZmUHRzDXH20E0tyI9PLS5ITE7NSy2Jd_YzNDQxsjA2NbN0NCZGDQD48jGj</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Big data characteristic parameter early warning device and method</title><source>esp@cenet</source><creator>CHENG ZENG ; QIAO DIANDIAN ; WANG PEIRAN ; LI BIN ; HUANG DIANJUN ; DUAN XIAOLEI</creator><creatorcontrib>CHENG ZENG ; QIAO DIANDIAN ; WANG PEIRAN ; LI BIN ; HUANG DIANJUN ; DUAN XIAOLEI</creatorcontrib><description>The invention relates to the field of fire early warning, in particular to a big data characteristic parameter early warning device and method. The fire characteristic data acquisition module is used for acquiring fire characteristic data in groups; the early warning module is in communication connection with the fire feature data acquisition module so as to extract features of a group of fire feature data, analyze whether the development trend of the group of fire feature data is a rising trend or a non-rising trend, and send an early warning signal when the development trend of the fire feature data is judged to be the rising trend; the big data characteristic value parameter module is used for judging the development trend of the next group of fire characteristic data when the development trend of the fire characteristic data is judged to be a non-rising trend; and an early warning module which is in communication connection with the big data characteristic value parameter module, receives an early warning</description><language>chi ; eng</language><subject>ALARM SYSTEMS ; ORDER TELEGRAPHS ; PHYSICS ; SIGNALLING ; SIGNALLING OR CALLING SYSTEMS</subject><creationdate>2022</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=20220405&amp;DB=EPODOC&amp;CC=CN&amp;NR=114283569A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25544,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20220405&amp;DB=EPODOC&amp;CC=CN&amp;NR=114283569A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CHENG ZENG</creatorcontrib><creatorcontrib>QIAO DIANDIAN</creatorcontrib><creatorcontrib>WANG PEIRAN</creatorcontrib><creatorcontrib>LI BIN</creatorcontrib><creatorcontrib>HUANG DIANJUN</creatorcontrib><creatorcontrib>DUAN XIAOLEI</creatorcontrib><title>Big data characteristic parameter early warning device and method</title><description>The invention relates to the field of fire early warning, in particular to a big data characteristic parameter early warning device and method. The fire characteristic data acquisition module is used for acquiring fire characteristic data in groups; the early warning module is in communication connection with the fire feature data acquisition module so as to extract features of a group of fire feature data, analyze whether the development trend of the group of fire feature data is a rising trend or a non-rising trend, and send an early warning signal when the development trend of the fire feature data is judged to be the rising trend; the big data characteristic value parameter module is used for judging the development trend of the next group of fire characteristic data when the development trend of the fire characteristic data is judged to be a non-rising trend; and an early warning module which is in communication connection with the big data characteristic value parameter module, receives an early warning</description><subject>ALARM SYSTEMS</subject><subject>ORDER TELEGRAPHS</subject><subject>PHYSICS</subject><subject>SIGNALLING</subject><subject>SIGNALLING OR CALLING SYSTEMS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHB0ykxXSEksSVRIzkgsSkwuSS3KLC7JTFYoAPJyU4FchdTEopxKhfLEorzMPKDa1LLM5FSFxLwUBaB0Rn4KDwNrWmJOcSovlOZmUHRzDXH20E0tyI9PLS5ITE7NSy2Jd_YzNDQxsjA2NbN0NCZGDQD48jGj</recordid><startdate>20220405</startdate><enddate>20220405</enddate><creator>CHENG ZENG</creator><creator>QIAO DIANDIAN</creator><creator>WANG PEIRAN</creator><creator>LI BIN</creator><creator>HUANG DIANJUN</creator><creator>DUAN XIAOLEI</creator><scope>EVB</scope></search><sort><creationdate>20220405</creationdate><title>Big data characteristic parameter early warning device and method</title><author>CHENG ZENG ; QIAO DIANDIAN ; WANG PEIRAN ; LI BIN ; HUANG DIANJUN ; DUAN XIAOLEI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114283569A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>ALARM SYSTEMS</topic><topic>ORDER TELEGRAPHS</topic><topic>PHYSICS</topic><topic>SIGNALLING</topic><topic>SIGNALLING OR CALLING SYSTEMS</topic><toplevel>online_resources</toplevel><creatorcontrib>CHENG ZENG</creatorcontrib><creatorcontrib>QIAO DIANDIAN</creatorcontrib><creatorcontrib>WANG PEIRAN</creatorcontrib><creatorcontrib>LI BIN</creatorcontrib><creatorcontrib>HUANG DIANJUN</creatorcontrib><creatorcontrib>DUAN XIAOLEI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CHENG ZENG</au><au>QIAO DIANDIAN</au><au>WANG PEIRAN</au><au>LI BIN</au><au>HUANG DIANJUN</au><au>DUAN XIAOLEI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Big data characteristic parameter early warning device and method</title><date>2022-04-05</date><risdate>2022</risdate><abstract>The invention relates to the field of fire early warning, in particular to a big data characteristic parameter early warning device and method. The fire characteristic data acquisition module is used for acquiring fire characteristic data in groups; the early warning module is in communication connection with the fire feature data acquisition module so as to extract features of a group of fire feature data, analyze whether the development trend of the group of fire feature data is a rising trend or a non-rising trend, and send an early warning signal when the development trend of the fire feature data is judged to be the rising trend; the big data characteristic value parameter module is used for judging the development trend of the next group of fire characteristic data when the development trend of the fire characteristic data is judged to be a non-rising trend; and an early warning module which is in communication connection with the big data characteristic value parameter module, receives an early warning</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN114283569A
source esp@cenet
subjects ALARM SYSTEMS
ORDER TELEGRAPHS
PHYSICS
SIGNALLING
SIGNALLING OR CALLING SYSTEMS
title Big data characteristic parameter early warning device and method
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T18%3A29%3A34IST&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=CHENG%20ZENG&rft.date=2022-04-05&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN114283569A%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