计及人为差错的调度自动化主站系统风险状态评估方法
一种计及人为差错的调度自动化主站系统风险状态评估方法,步骤一:根据调度自动化主站系统运行情况,识别主要风险事件;步骤二:构建计及人为差错的风险表征参数体系,结合贝叶斯网络构建风险评估模型;步骤三:确定节点变量状态;步骤四:确定贝叶斯网络参数;步骤五:根据贝叶斯推理计算出风险事件的风险评估结果;步骤六:验证模型性能,确保建模正确度;步骤七:对风险事件重要性进行排序;步骤八:基于权重分配和矩阵分析的证据推理技术,融合多个风险事件风险评估结果。该方法能准确地反映出调度自动化主站系统的风险评估结果,可有效避免调度自动化主站系统在运行中产生的各类故障,能为科学合理的调度过程提供有效的解决方案。...
Gespeichert in:
Format: | Patent |
---|---|
Sprache: | chi |
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 | |
description | 一种计及人为差错的调度自动化主站系统风险状态评估方法,步骤一:根据调度自动化主站系统运行情况,识别主要风险事件;步骤二:构建计及人为差错的风险表征参数体系,结合贝叶斯网络构建风险评估模型;步骤三:确定节点变量状态;步骤四:确定贝叶斯网络参数;步骤五:根据贝叶斯推理计算出风险事件的风险评估结果;步骤六:验证模型性能,确保建模正确度;步骤七:对风险事件重要性进行排序;步骤八:基于权重分配和矩阵分析的证据推理技术,融合多个风险事件风险评估结果。该方法能准确地反映出调度自动化主站系统的风险评估结果,可有效避免调度自动化主站系统在运行中产生的各类故障,能为科学合理的调度过程提供有效的解决方案。 |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN119168375A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN119168375A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN119168375A3</originalsourceid><addsrcrecordid>eNrjZPB4sW7h0_6uJ7t2Pdmx6-n2dS-nzHw-q-XFhuanu5a9aF_1tGvF055pT3bsfr565vPNu5_vnv9ycd_LmSufd2171tD4Yn3Lkz0bnk3b-WzzVB4G1rTEnOJUXijNzaDo5hri7KGbWpAfn1pckJicmpdaEu_sZ2hoaWhmYWxu6mhMjBoA2dJNWQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>计及人为差错的调度自动化主站系统风险状态评估方法</title><source>esp@cenet</source><description>一种计及人为差错的调度自动化主站系统风险状态评估方法,步骤一:根据调度自动化主站系统运行情况,识别主要风险事件;步骤二:构建计及人为差错的风险表征参数体系,结合贝叶斯网络构建风险评估模型;步骤三:确定节点变量状态;步骤四:确定贝叶斯网络参数;步骤五:根据贝叶斯推理计算出风险事件的风险评估结果;步骤六:验证模型性能,确保建模正确度;步骤七:对风险事件重要性进行排序;步骤八:基于权重分配和矩阵分析的证据推理技术,融合多个风险事件风险评估结果。该方法能准确地反映出调度自动化主站系统的风险评估结果,可有效避免调度自动化主站系统在运行中产生的各类故障,能为科学合理的调度过程提供有效的解决方案。</description><language>chi</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</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&date=20241220&DB=EPODOC&CC=CN&NR=119168375A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20241220&DB=EPODOC&CC=CN&NR=119168375A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><title>计及人为差错的调度自动化主站系统风险状态评估方法</title><description>一种计及人为差错的调度自动化主站系统风险状态评估方法,步骤一:根据调度自动化主站系统运行情况,识别主要风险事件;步骤二:构建计及人为差错的风险表征参数体系,结合贝叶斯网络构建风险评估模型;步骤三:确定节点变量状态;步骤四:确定贝叶斯网络参数;步骤五:根据贝叶斯推理计算出风险事件的风险评估结果;步骤六:验证模型性能,确保建模正确度;步骤七:对风险事件重要性进行排序;步骤八:基于权重分配和矩阵分析的证据推理技术,融合多个风险事件风险评估结果。该方法能准确地反映出调度自动化主站系统的风险评估结果,可有效避免调度自动化主站系统在运行中产生的各类故障,能为科学合理的调度过程提供有效的解决方案。</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPB4sW7h0_6uJ7t2Pdmx6-n2dS-nzHw-q-XFhuanu5a9aF_1tGvF055pT3bsfr565vPNu5_vnv9ycd_LmSufd2171tD4Yn3Lkz0bnk3b-WzzVB4G1rTEnOJUXijNzaDo5hri7KGbWpAfn1pckJicmpdaEu_sZ2hoaWhmYWxu6mhMjBoA2dJNWQ</recordid><startdate>20241220</startdate><enddate>20241220</enddate><scope>EVB</scope></search><sort><creationdate>20241220</creationdate><title>计及人为差错的调度自动化主站系统风险状态评估方法</title></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN119168375A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>计及人为差错的调度自动化主站系统风险状态评估方法</title><date>2024-12-20</date><risdate>2024</risdate><abstract>一种计及人为差错的调度自动化主站系统风险状态评估方法,步骤一:根据调度自动化主站系统运行情况,识别主要风险事件;步骤二:构建计及人为差错的风险表征参数体系,结合贝叶斯网络构建风险评估模型;步骤三:确定节点变量状态;步骤四:确定贝叶斯网络参数;步骤五:根据贝叶斯推理计算出风险事件的风险评估结果;步骤六:验证模型性能,确保建模正确度;步骤七:对风险事件重要性进行排序;步骤八:基于权重分配和矩阵分析的证据推理技术,融合多个风险事件风险评估结果。该方法能准确地反映出调度自动化主站系统的风险评估结果,可有效避免调度自动化主站系统在运行中产生的各类故障,能为科学合理的调度过程提供有效的解决方案。</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi |
recordid | cdi_epo_espacenet_CN119168375A |
source | esp@cenet |
subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
title | 计及人为差错的调度自动化主站系统风险状态评估方法 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-12T12%3A33%3A30IST&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.date=2024-12-20&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN119168375A%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 |