★★★★★Railroad Innovation Map Reveals Emerging Technologies & Startups

Railroad Innovation Map Reveals Emerging Technologies & Startups

At StartUs Insights, we place great value in identifying emerging technologies and promising startups early on. For this research on the future of railroads, our Innovation Analysts have examined more than 500 startups and their technologies:

Related topics:INNOVATION MAPRAILROADSTECHNOLOGY

Since the first public steam-powered railway was built in 1825, the rail transport industry has been a key component of connecting the world since the Industrial Revolution. Technological innovation has generally been adopted by the rail industry gradually over time.

However, digital technologies such as Automatic Train Control (ATC), Predictive Maintenance, and the Internet of Trains accelerate the speed of innovation.

The smart mass transit solutions market is estimated to reach $44.78 billion by 2021. Startups and their technologies dramatically contribute to this process as they are the forerunner of innovation. Our Innovation Analysts at StartUs Insights have mapped out the nine most impactful innovation areas for the rail transport industry after analyzing more than 500 startups.

Railroad Innovation Map (c) StartUs Insights

 

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Automatic Train Control (ATC)

A train equipped with a GPS-receiver, a camera array and a set of sensors can use an onboard Artificial Intelligence computing unit to become fully autonomous. A network of autonomous trains then is able to communicate with each other and plan speed and route accordingly to avoid interruptions and slow-downs. As a result, autonomous trains have the potential to become the most efficient means of transportation.

Internet of Trains

A large amount of data can be gathered through the Internet of Things (IoT) for analysis and predictive algorism. Constant communication between trains and railroad management systems allows them to coordinate with each other intelligently in order to improve railroad efficiency and safety.

Predictive Maintenance

Predictive Maintenance uses Artificial Intelligence to constantly monitor and analyze data from IoT and other sources. It serves as a continuous inspection and diagnosis function while making accurate predictions on potential failure before it occurs. Predictive Maintenance, therefore, is crucial in reducing maintenance cost, minimizing interruptions, and preventing accidents for a tech-centric railroad system.

Artificial Intelligence (AI)

AI can be adopted in many areas of railroad services. For example, it enables the development of advanced robotics, makes predictions both regarding future traffic and the condition of equipment. Through Artificial Intelligence, railroad operators can predict passenger numbers in advance and plan train capacities and route scheduling accordingly.

Smart Sensors

Smart sensors are the basic building blocks of the Internet of Things. Predictive Maintenance systems utilize smart sensors to gather data and thus monitor every critical component of trains and railroad control systems to predict the potential point of failure in the future.

 

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Big Data

Essential for railway operations and maintenance, Big Data drives the future of how railroads are designed, planned and operated. Big Data provides means for the efficient real-time monitoring of railroad/traffic conditions and employs advanced data analysis to improve performance and safety measures.

Cloud Computing

Cloud Computing providers secure and distribute repository for rapid access and analysis of big data. In addition, many providers also employ assets, tools or APIs for third-party connectivity for richer functionalities or ease-of-use, so that railroad service providers can focus on optimizing their own operations.

Drones

Drone technology reduces the risk, time, and cost of accessing areas with the workforce and makes the global rail infrastructure safer and more cost effective to maintain, operate and monitor. Working in complementary to a smart sensor system, drones can add layers of data, such as visual, thermal or multispectral data to big data infrastructure.

Biometric Ticketing

Through biometric scans such as facial, fingerprint, retina or voice scans, Biometric Ticketing makes payment, check-in, and seat distribution processes faster and more secure. It also provides an additional layer of identification of customers to improve safety and travel comfort.

Disruptive Startups In The Rail Transport Industry Include:

• Israeli RailVision develops an Automated Early Warning System (AEWS). This system provides an alarm for any suspicious interfering object with a preliminary classification of any object nature. Presented to the driver as a visual image on the board monitor, this information is used for additional exploration of the obstacle ahead.
• Perpetuum improves the efficiency, safety, and quality of fleet management and services through wireless condition monitoring. The startup directly delivers data on assets to improve the end-user experience and plan ahead to make rolling stock available to meet customer demands, maximizing the overall safety and efficiency.
• The software developed by Dutch Semiotic Labs predicts technical failures. The startup’s solution supplies instructions in the form of algorithms to convert data into information about when and why a system fails. Using this information, operators can take action to prevent or to solve problems.
• Neuron Soundware works with Artificial Intelligence to detect malfunctioning machines using audio signals. The pre-processing of the input data via a complex physical sensor model allows the neural network to recognize and identify important features with high confidence. The Czech company focuses on the early detection of mechanical malfunctions and offers predictive maintenance, real-time mechanical issue detection, and remote equipment diagnosis.
• Italian IVM develops monitoring systems based on systems of integrated sensors. The startup has vast experience in MEMS (Micro-Electro-Mechanical System) technology accelerometer sensors; hardware and software design as well as the implementation of low-power wireless networks for acquisition systems of accelerometric signals; and the extraction of information-diagnostic content from the data acquired by the monitoring systems through the use of specific processing algorithms.
• Delphisonic supplies big data analytics equipment to carry out measurements and real-time condition monitoring tasks efficiently and securely. The solution, called Real-Time Railway Condition Monitoring, remotely monitors facilities in real-time and detects abnormalities which operators can immediately handle.
• Nexiot develops cloud solutions for smart freight rail sensors. The Swiss startup’s servers and databases provide a secure undistributed repository for rapid access and big data analytics. Their cloud infrastructure is tailor-made and provides all things required to connect assets, including device management tools to Nexiot’s smart sensor as well as other IP based third-party devices through standard interfaces.
• RailPod’s aim is to make the global rail infrastructure safer and more cost effective to maintain, operate and monitor through the use of automated ‘inspection’ drones. The startup’s drones increase the frequency and quality of day-to-day railroad track inspections through advanced sensing technologies and Data-as-a-Service (DaaS).
• Customer Clever strengthens the development of facial recognition technology. The UK-based startup’s solution is smart enough to recognize people who are wearing glasses and cannot be tricked by a photograph, owing to its 3D scanning capabilities. The startup also claims their system is capable of telling apart identical twins.

In addition to areas identified above, virtual and augmented reality technologies (VR/AR), machine vision, and light-based communication technologies (LiFi) will help to create a smart and fully automated rail transport system. At StartUs Insights, we provide actionable innovation intelligence on startup-driven innovation to support railroad service companies in accelerating their innovation process and to better adjust their business models to the digital transformation of the industry.

Get in touch for more insights into the future of railroads!

철도 혁신지도는 신흥 기술 및 신생 기업을 보여준다
StartUs Insights에서는 신흥 기술과 유망한 신생 기업을 조기에 식별하는 데 큰 가치를 둡니다. 철도의 미래에 대한이 연구를 위해, 우리의 혁신 분석가는 500 개 이상의 신생 기업과 그 기술을 조사했습니다.

관련 주제 :
혁신 마프 라일 로즈 기술
최초의 공공 증기 동력 철도가 1825 년에 건축 된 이래로 철도 운송 산업은 산업 혁명 이후 세계를 연결하는 핵심 요소였습니다. 기술 혁신은 일반적으로 시간이 지남에 따라 점차 철도 산업에 의해 채택되었습니다.

그러나 ATC (Automatic Train Control), Predictive Maintenance 및 Internet of Trains와 같은 디지털 기술은 혁신 속도를 가속화합니다.

스마트 대중 교통 솔루션 시장은 2021 년까지 448 억 7 천만 달러에이를 것으로 추정됩니다. 신생 기업 및 기술은 혁신의 선구자로서이 프로세스에 크게 기여합니다. StartUs Insights의 혁신 분석가는 500 개 이상의 신생 기업을 분석 한 후 철도 운송 산업에서 가장 영향력있는 9 개의 혁신 영역을 매핑했습니다.

철도 혁신지도 StartUs Insights 1280 720-noresize
철도 혁신지도 (c) StartUs Insights

 

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자동 열차 제어 (ATC)
GPS 수신기, 카메라 어레이 및 센서 세트가 장착 된 열차는 온보드 인공 지능 컴퓨팅 장치를 사용하여 완전히 자율적으로 작동 할 수 있습니다. 자율 열차 네트워크는 서로 통신하고 속도와 경로를 계획하여 중단과 속도 저하를 피할 수 있습니다. 결과적으로 자율 열차는 가장 효율적인 교통 수단이 될 수 있습니다.

열차의 인터넷
분석 및 예측 알고리즘을 위해 사물 인터넷 (IoT)을 통해 많은 양의 데이터를 수집 할 수 있습니다. 열차와 철도 관리 시스템 간의 지속적인 통신을 통해 철도 효율성과 안전성을 향상시키기 위해 서로 지능적으로 조정할 수 있습니다.

예측 정비
예측 유지 관리는 인공 지능을 사용하여 IoT 및 기타 소스의 데이터를 지속적으로 모니터링하고 분석합니다. 잠재적 인 고장이 발생하기 전에 정확한 예측을하는 동시에 지속적인 검사 및 진단 기능을합니다. 따라서 유지 보수 비용을 절감하고 중단을 최소화하며 기술 중심의 철도 시스템의 사고를 예방하려면 예측 유지 보수가 중요합니다.

인공 지능 (AI)
AI는 많은 철도 서비스 분야에서 채택 될 수 있습니다. 예를 들어, 고급 로봇 기술을 개발하고 향후 교통량과 장비 상태를 예측합니다. 철도 사업자는 인공 지능을 통해 승객 수를 미리 예측하고 열차 용량 및 노선 일정을 계획 할 수 있습니다.

스마트 센서
스마트 센서는 사물 인터넷의 기본 구성 요소입니다. Predictive Maintenance 시스템은 스마트 센서를 사용하여 데이터를 수집하고 기차 및 철도 제어 시스템의 모든 중요 구성 요소를 모니터링하여 미래의 잠재적 오류 지점을 예측합니다.

 

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빅 데이터
철도 운영 및 유지 보수에 필수적인 빅 데이터는 철도의 설계, 계획 및 운영 방식의 미래를 주도합니다. Big Data는 철도 / 교통 상황을 효율적으로 실시간 모니터링 할 수있는 수단을 제공하고 고급 데이터 분석을 사용하여 성능 및 안전 조치를 개선합니다.

클라우드 컴퓨팅
클라우드 컴퓨팅 제공 업체는 빅 데이터에 대한 빠른 액세스 및 분석을 위해 저장소를 보호 및 배포합니다. 또한 많은 서비스 제공 업체는 풍부한 기능 또는 사용 편의성을 위해 타사 연결을위한 자산, 도구 또는 API를 사용하므로 철도 서비스 제공 업체는 자체 운영 최적화에 집중할 수 있습니다.

드론
드론 기술은 인력으로 지역에 접근하는 데 따른 위험, 시간 및 비용을 줄이고 글로벌 철도 인프라를보다 안전하고 비용 효율적으로 유지, 운영 및 모니터링 할 수 있도록합니다. 스마트 센서 시스템을 보완하여 드론은 비주얼, 열 또는 멀티 스펙트럼 데이터와 같은 데이터 계층을 빅 데이터 인프라에 추가 할 수 있습니다.

생체 인식 발권
얼굴, 지문, 망막 또는 음성 스캔과 같은 생체 인식 스캔을 통해 Biometric Ticketing은 지불, 체크인 및 좌석 배포 프로세스를보다 빠르고 안전하게 만듭니다. 또한 안전과 여행 편의성을 향상시키기 위해 고객을 식별하는 추가 계층을 제공합니다.

철도 운송 산업의 파괴적인 신생 기업은 다음과 같습니다.
이스라엘 RailVision은 자동화 된 조기 경보 시스템 (AEWS)을 개발합니다. 이 시스템은 의심스러운 간섭 물체에 대해 모든 물체 특성의 예비 분류로 경보를 제공합니다. 운전자에게 보드 모니터의 시각적 이미지로 제공되는이 정보는 앞으로 장애물을 추가로 탐색하는 데 사용됩니다.
Perpetuum은 무선 상태 모니터링을 통해 차량 관리 및 서비스의 효율성, 안전 및 품질을 향상시킵니다. 스타트 업은 자산에 대한 데이터를 직접 제공하여 최종 사용자 경험을 개선하고 고객의 요구를 충족시키기 위해 롤링 재고를 제공 할 수 있도록 미리 계획하여 전반적인 안전성과 효율성을 극대화합니다.
Dutch Semiotic Labs가 개발 한 소프트웨어는 기술적 인 오류를 예측합니다. 스타트 업의 솔루션은 데이터를 시스템 장애 발생시기 및 이유에 대한 정보로 변환하기위한 알고리즘 형식의 지침을 제공합니다. 운영자는이 정보를 사용하여 문제를 예방하거나 해결하기위한 조치를 취할 수 있습니다.
Neuron Soundware는 인공 지능과 함께 작동하여 오디오 신호를 사용하여 오작동하는 기계를 감지합니다. 복잡한 물리적 센서 모델을 통해 입력 데이터를 사전 처리하면 신경망이 중요한 기능을 높은 신뢰도로 인식하고 식별 할 수 있습니다. 체코 회사는 기계적 고장의 조기 감지에 중점을두고 예측 유지 보수, 실시간 기계적 문제 감지 및 원격 장비 진단을 제공합니다.
Italian IVM은 통합 센서 시스템을 기반으로 모니터링 시스템을 개발합니다. 이 스타트 업은 MEMS (Micro-Electro-Mechanical System) 기술 가속도계 센서에서 방대한 경험을 가지고 있습니다. 가속도 신호의 획득 시스템을위한 저전력 무선 네트워크의 구현뿐만 아니라 하드웨어 및 소프트웨어 설계; 및 특정 처리 알고리즘의 사용을 통해 모니터링 시스템에 의해 획득 된 데이터로부터 정보-진단 컨텐츠의 추출.
Delphisonic은 빅 데이터 분석 장비를 공급하여 측정 및 실시간 상태 모니터링 작업을 효율적이고 안전하게 수행합니다. 실시간 철도 상태 모니터링이라는 솔루션은 실시간으로 시설을 원격으로 모니터링하고 운영자가 즉시 처리 할 수있는 이상을 감지합니다.
Nexiot는 스마트화물 철도 센서 용 클라우드 솔루션을 개발합니다. 스위스 신생 기업의 서버 및 데이터베이스는 빠른 액세스 및 빅 데이터 분석을위한 안전한 분산 저장소를 제공합니다. 클라우드 인프라는 맞춤형으로 제공되며 표준 인터페이스를 통해 장치 관리 도구를 포함하여 자산을 Nexiot의 스마트 센서 및 기타 IP 기반 타사 장치에 연결하는 데 필요한 모든 것을 제공합니다.
RailPod의 목표는 자동화 된 '검사'드론을 사용하여 글로벌 철도 인프라를보다 안전하고 비용 효율적으로 유지, 운영 및 모니터링하는 것입니다. 스타트 업의 드론은 첨단 감지 기술과 DaaS (Data-as-a-Service)를 통해 일상적인 철도 트랙 검사의 빈도와 품질을 높입니다.
Customer Clever는 안면 인식 기술 개발을 강화합니다. 영국에 기반을 둔 신생 기업의 솔루션은 3D 스캔 기능으로 인해 안경을 착용하고 사진에 속지 않는 사람들을 인식 할 수있을 정도로 똑똑합니다. 스타트 업은 또한 시스템이 동일한 쌍둥이를 구분할 수 있다고 주장했다.
위에서 확인한 영역 외에도 VR / AR (가상 및 증강 현실 기술), 머신 비전 및 LiFi (Light-Based Communication Technology)는 스마트하고 완전 자동화 된 철도 운송 시스템을 만드는 데 도움이됩니다. StartUs Insights는 시작 기반 혁신에 실행 가능한 혁신 인텔리전스를 제공하여 철도 서비스 회사가 혁신 프로세스를 가속화 할 수 있도록 지원하고 비즈니스 모델을 업계의 디지털 혁신에 맞게 조정합니다.

철도의 미래에 대한 더 많은 통찰력을 얻으려면 연락하십시오!