Prophet combination model-based monitoring time sequence data prediction method
The invention discloses a monitoring time sequence data prediction method based on a Prophet combination model, and relates to the technical field of engineering construction and operation and maintenance. Comprising the following steps: S1, arranging a sensor on an engineering site to obtain origin...
Gespeichert in:
Hauptverfasser: | , , , , , , , |
---|---|
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 | CAO XUEMEI YUAN LYU QIAN KANGKAI GUO MINRU ZHANG HAORAN CHEN DE ZHANG ZONGYU WU TAIHENG |
description | The invention discloses a monitoring time sequence data prediction method based on a Prophet combination model, and relates to the technical field of engineering construction and operation and maintenance. Comprising the following steps: S1, arranging a sensor on an engineering site to obtain original time sequence data X0 = {x01, x02,..., x0i,..., x0n}, and marking festivals and holidays for interference time sequence data; s2, constructing a Prophet combination model, substituting original time sequence data X0 into a data preprocessing layer of the Prophet combination model, and performing iterative calculation to obtain time sequence data X '= {x' 1, x '2,..., x'i,..., x'n} after the gross error is deleted; the method comprises the steps of (S1) obtaining a Prophet combination model prediction layer, (S2) obtaining a Prophet combination model prediction layer, (S3) substituting X'into the Prophet combination model regression layer, and carrying out regression vacancy calculation to obtain complete time se |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN114756604A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN114756604A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN114756604A3</originalsourceid><addsrcrecordid>eNqNizEOwjAQBNNQIOAP5gGRiAihRhGICijoI8fekJPiO2Mf_wcJHkA1U8zMi-stSRyhxknoia2SsAniMZW9zfAfZ1JJxA-jFGAyni-wg_FWrYkJntx3go7il8VssFPG6sdFsT4d7-25RJQOOVoHhnbtparq_a5pNvVh-0_zBqXUN4Y</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Prophet combination model-based monitoring time sequence data prediction method</title><source>esp@cenet</source><creator>CAO XUEMEI ; YUAN LYU ; QIAN KANGKAI ; GUO MINRU ; ZHANG HAORAN ; CHEN DE ; ZHANG ZONGYU ; WU TAIHENG</creator><creatorcontrib>CAO XUEMEI ; YUAN LYU ; QIAN KANGKAI ; GUO MINRU ; ZHANG HAORAN ; CHEN DE ; ZHANG ZONGYU ; WU TAIHENG</creatorcontrib><description>The invention discloses a monitoring time sequence data prediction method based on a Prophet combination model, and relates to the technical field of engineering construction and operation and maintenance. Comprising the following steps: S1, arranging a sensor on an engineering site to obtain original time sequence data X0 = {x01, x02,..., x0i,..., x0n}, and marking festivals and holidays for interference time sequence data; s2, constructing a Prophet combination model, substituting original time sequence data X0 into a data preprocessing layer of the Prophet combination model, and performing iterative calculation to obtain time sequence data X '= {x' 1, x '2,..., x'i,..., x'n} after the gross error is deleted; the method comprises the steps of (S1) obtaining a Prophet combination model prediction layer, (S2) obtaining a Prophet combination model prediction layer, (S3) substituting X'into the Prophet combination model regression layer, and carrying out regression vacancy calculation to obtain complete time se</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</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&date=20220715&DB=EPODOC&CC=CN&NR=114756604A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220715&DB=EPODOC&CC=CN&NR=114756604A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CAO XUEMEI</creatorcontrib><creatorcontrib>YUAN LYU</creatorcontrib><creatorcontrib>QIAN KANGKAI</creatorcontrib><creatorcontrib>GUO MINRU</creatorcontrib><creatorcontrib>ZHANG HAORAN</creatorcontrib><creatorcontrib>CHEN DE</creatorcontrib><creatorcontrib>ZHANG ZONGYU</creatorcontrib><creatorcontrib>WU TAIHENG</creatorcontrib><title>Prophet combination model-based monitoring time sequence data prediction method</title><description>The invention discloses a monitoring time sequence data prediction method based on a Prophet combination model, and relates to the technical field of engineering construction and operation and maintenance. Comprising the following steps: S1, arranging a sensor on an engineering site to obtain original time sequence data X0 = {x01, x02,..., x0i,..., x0n}, and marking festivals and holidays for interference time sequence data; s2, constructing a Prophet combination model, substituting original time sequence data X0 into a data preprocessing layer of the Prophet combination model, and performing iterative calculation to obtain time sequence data X '= {x' 1, x '2,..., x'i,..., x'n} after the gross error is deleted; the method comprises the steps of (S1) obtaining a Prophet combination model prediction layer, (S2) obtaining a Prophet combination model prediction layer, (S3) substituting X'into the Prophet combination model regression layer, and carrying out regression vacancy calculation to obtain complete time se</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNizEOwjAQBNNQIOAP5gGRiAihRhGICijoI8fekJPiO2Mf_wcJHkA1U8zMi-stSRyhxknoia2SsAniMZW9zfAfZ1JJxA-jFGAyni-wg_FWrYkJntx3go7il8VssFPG6sdFsT4d7-25RJQOOVoHhnbtparq_a5pNvVh-0_zBqXUN4Y</recordid><startdate>20220715</startdate><enddate>20220715</enddate><creator>CAO XUEMEI</creator><creator>YUAN LYU</creator><creator>QIAN KANGKAI</creator><creator>GUO MINRU</creator><creator>ZHANG HAORAN</creator><creator>CHEN DE</creator><creator>ZHANG ZONGYU</creator><creator>WU TAIHENG</creator><scope>EVB</scope></search><sort><creationdate>20220715</creationdate><title>Prophet combination model-based monitoring time sequence data prediction method</title><author>CAO XUEMEI ; YUAN LYU ; QIAN KANGKAI ; GUO MINRU ; ZHANG HAORAN ; CHEN DE ; ZHANG ZONGYU ; WU TAIHENG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114756604A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>CAO XUEMEI</creatorcontrib><creatorcontrib>YUAN LYU</creatorcontrib><creatorcontrib>QIAN KANGKAI</creatorcontrib><creatorcontrib>GUO MINRU</creatorcontrib><creatorcontrib>ZHANG HAORAN</creatorcontrib><creatorcontrib>CHEN DE</creatorcontrib><creatorcontrib>ZHANG ZONGYU</creatorcontrib><creatorcontrib>WU TAIHENG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>CAO XUEMEI</au><au>YUAN LYU</au><au>QIAN KANGKAI</au><au>GUO MINRU</au><au>ZHANG HAORAN</au><au>CHEN DE</au><au>ZHANG ZONGYU</au><au>WU TAIHENG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Prophet combination model-based monitoring time sequence data prediction method</title><date>2022-07-15</date><risdate>2022</risdate><abstract>The invention discloses a monitoring time sequence data prediction method based on a Prophet combination model, and relates to the technical field of engineering construction and operation and maintenance. Comprising the following steps: S1, arranging a sensor on an engineering site to obtain original time sequence data X0 = {x01, x02,..., x0i,..., x0n}, and marking festivals and holidays for interference time sequence data; s2, constructing a Prophet combination model, substituting original time sequence data X0 into a data preprocessing layer of the Prophet combination model, and performing iterative calculation to obtain time sequence data X '= {x' 1, x '2,..., x'i,..., x'n} after the gross error is deleted; the method comprises the steps of (S1) obtaining a Prophet combination model prediction layer, (S2) obtaining a Prophet combination model prediction layer, (S3) substituting X'into the Prophet combination model regression layer, and carrying out regression vacancy calculation to obtain complete time se</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN114756604A |
source | esp@cenet |
subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | Prophet combination model-based monitoring time sequence data prediction method |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T07%3A06%3A31IST&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=CAO%20XUEMEI&rft.date=2022-07-15&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN114756604A%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 |