我司自主研發(fā)的《隧道數(shù)字孿生系統(tǒng)》獲得了由我國版權(quán)局頒發(fā)的計(jì)算機(jī)軟件著作權(quán)登記證書。該系統(tǒng)以軟件平臺(tái)為核心，通過可視化配置，簡(jiǎn)化了復(fù)雜的物聯(lián)網(wǎng)硬件開發(fā)工作，無需任何編程經(jīng)驗(yàn)就可以完成功能定義、界面設(shè)計(jì)等工作。

隧道數(shù)字孿生系統(tǒng)這款系統(tǒng)將物聯(lián)網(wǎng)技術(shù)與隧道管理相結(jié)合，實(shí)現(xiàn)了對(duì)隧道的全 面監(jiān)控和控制。

該系統(tǒng)融合了隧道車輛對(duì)象級(jí)感知數(shù)據(jù)、基礎(chǔ)設(shè)施數(shù)據(jù)、運(yùn)行環(huán)境等動(dòng)靜態(tài)數(shù)據(jù)，以數(shù)字孿生為基礎(chǔ)打造智能隧道綜合管控平臺(tái)，支持隧道全息運(yùn)行監(jiān)控、主動(dòng)安全預(yù)警、特型車輛跟蹤、機(jī)電智能巡檢、機(jī)電故障管理等功能。

此外，《八維隧道數(shù)字孿生系統(tǒng)》采用了“視頻孿生 (實(shí)時(shí)實(shí)景數(shù)字孿生)”技術(shù)，該技術(shù)以三維地理信息引擎為基礎(chǔ)，結(jié)合隧道建筑模型，通過對(duì)接隧道視頻系統(tǒng)、智能感知設(shè)備等，實(shí)時(shí)監(jiān)測(cè)隧道內(nèi)的交通、車輛、環(huán)境狀況，精 準(zhǔn)識(shí)別隧道交通事故、交通違章、火災(zāi)、隧道病害等事件，及溫濕度、風(fēng)速、照明、煙霧等異常指標(biāo)，并及時(shí)發(fā)布預(yù)警。

 The "Tunnel Digital Twin System" independently developed by our company has obtained the computer software copyright registration certificate issued by the National Copyright Administration. With software platform as the core, the system simplifies complex iot hardware development through visual configuration, and can complete function definition, interface design and other work without any programming experience.

Tunnel Digital Twin This system combines Internet of Things technology with tunnel management to achieve comprehensive monitoring and control of the tunnel.

The system integrates the tunnel vehicle object-level perception data, infrastructure data, operating environment and other dynamic and static data, and builds an intelligent tunnel comprehensive management and control platform based on digital twins, supporting tunnel holographic operation monitoring, active safety early warning, special vehicle tracking, mechanical and electrical intelligent inspection, mechanical and electrical fault management and other functions.

In addition, the "8-dimensional tunnel digital Twin system" adopts the "video twin (real-time digital twin)" technology, which is based on three-dimensional geographic information engine, combined with the tunnel building model, through the docking tunnel video system, intelligent sensing equipment, real-time monitoring of traffic, vehicles, and environmental conditions in the tunnel. Accurately identify tunnel traffic accidents, traffic violations, fire, tunnel diseases and other events, as well as temperature and humidity, wind speed, lighting, smoke and other abnormal indicators, and timely issue warnings.