我司自主研發(fā)的《鐵路數(shù)字孿生系統(tǒng)》獲得了由我國(guó)版權(quán)局頒發(fā)的計(jì)算機(jī)軟件著作權(quán)登記證書(shū)。該系統(tǒng)以軟件平臺(tái)為核心，通過(guò)可視化配置，簡(jiǎn)化了復(fù)雜的物聯(lián)網(wǎng)硬件開(kāi)發(fā)工作，無(wú)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。

鐵路數(shù)字孿生系統(tǒng)是一種基于數(shù)字孿生技術(shù)的鐵路管理系統(tǒng)。它通過(guò)將鐵路基礎(chǔ)設(shè)施、移動(dòng)裝備、運(yùn)行環(huán)境等物理對(duì)象進(jìn)行數(shù)字化建模，構(gòu)建與現(xiàn)實(shí)世界對(duì)稱(chēng)的數(shù)字化鏡像，實(shí)現(xiàn)對(duì)鐵路系統(tǒng)的全 面數(shù)字化管理。

該系統(tǒng)結(jié)合物聯(lián)網(wǎng)、大數(shù)據(jù)、人工智能等技術(shù)，對(duì)鐵路系統(tǒng)的運(yùn)行狀態(tài)進(jìn)行實(shí)時(shí)監(jiān)測(cè)和數(shù)據(jù)采集，通過(guò)數(shù)字孿生模型對(duì)數(shù)據(jù)進(jìn)行處理和分析，實(shí)現(xiàn)對(duì)鐵路系統(tǒng)的全 面監(jiān)控和管理。同時(shí)，該系統(tǒng)還可以根據(jù)歷史數(shù)據(jù)和實(shí)時(shí)數(shù)據(jù)，對(duì)鐵路系統(tǒng)的運(yùn)行狀態(tài)進(jìn)行預(yù)測(cè)和預(yù)警，為鐵路管理提供更加科學(xué)、精 準(zhǔn)的決策支持。

The "Railway 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.

Railway digital twin system is a railway management system based on digital twin technology. Through the digital modeling of physical objects such as railway infrastructure, mobile equipment and operating environment, it constructs a digital image that is symmetric with the real world, and realizes the comprehensive digital management of railway system.

The system combines the Internet of Things, big data, artificial intelligence and other technologies to carry out real-time monitoring and data acquisition of the railway system's operating status, and process and analyze the data through the digital twin model to realize the comprehensive monitoring and management of the railway system. At the same time, the system can also predict and warn the operating state of the railway system according to historical data and real-time data, and provide more scientific and accurate decision support for railway management.

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Company QQ：251866187

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