Kurnup is a sensor, big data and Artificial Intelligence company for Predictive Maintenance.

ConnectM is a leading, global Machine-to-Machine (M2M) Technology Solutions, Business Intelligence and Services Company headquartered in Bangalore, India. With over 70,000 assets connected, ConnectM's Solution Delivery Platform (SDP) is a robust and proven technology. Their Pre-built applications are leveraged by over 40 customers to manage their assets/machines. ConnectM SDP and applications along with devices from its eco-system partners offer the customer a one-stop-shop for M2M needs.

OtoSense offers the world's first software that makes sense of sounds with the ability to act upon real world events in real time, making the world a smarter and safer place. By recognizing that the early detection and diagnosis of anomalies is a critical factor in the ongoing design, development and maintenance of machines, OtoSense has developed a proprietary system to monitor machinery sounds, providing early diagnosis of potential failures, optimizing operations and reducing costs. They've achieved early tranction in the automative market through a partnership with a European car manufacturer, which will now license their technology. As a result, they are now in a position to focus their efforts on developing relationships with software vendors in this market. The value of their technology in the Machine to Machine market is not limited to automotive, as their system is uniquely designed and capable of adapting to any environment or task where sound delivers critical information with a particular emphasis on complex machines.

HUM Industrial Technology is a supply chain technology company building predictive sensors to make the supply chain smarter and safer. Our wireless wheel and bearing sensors for railcars and locomotives provides predictive visibility into the health of your assets, eliminating derailments, optimizing your maintenance management, and controlling your inventory costs.

Distence is a pivot, with a new condence.io solution, offering Industrial Internet of Things (IIoT) solutions for demanding industrial environments. The company, with 15 years of experience, digitalises and connects industrial equipment such as pumps, motors, fans, and gears to an analytical cloud platform (Condence) which provides valuable data and information. It serves as a platform for machinelearnig and AI. This information then enables its users to optimise the usage and maintenance of their equipment, creating vast energy and maintenance savings. Distence’s specialty is in rotating machinery with the combination of vibration analysis and other continuous condition monitoring methodologies. Distence has delivered thousands of machine health solutions to more than 40 countries worldwide, including major clients such as Moventas (wind turbine gears), ABB, DB Santasalo, Danfoss and Skanska (construction crane intelligence).

工业智能实践者 1. 参与2项国际标准和6项国家标准的编制工作 2. 牵头申报并中标2019工信部工业互联网网络化能耗管理平台 3. 支撑机械工业仪器仪表综合技术经济研究所共建预测性维护国家标准与示范基地 4. 承担工信部工业互联网工业大数据创新平台实施建设

Sensors and Gateways The sensors and gateways are already connected to our cloud and don't require a power source. No wires are necessary and the batteries last for 5 years. Kurnup Watch Once the tags are fixed on the machines, a web platform is made available for monitoring the health and usage of your assets. Kurnup Notify The Kurnup tags also come with a mobile app that pushes notifications and important information to prevent unplanned downtime.

ConnectM has delivered M2M solutions to various domains including Telecom, Energy, Utilities, Industrial, Construction, IT/ITES Enterprises and Transportation market segments. ConnectM's solutions are powered by cutting edge M2M technology and are designed to make a significant, sustained and measurable business impact. ConnectM also offers services to its client to build complete solutions. ConnectM's strength is in its ability to offer domain specific analytics on the data collected and deliver actionable business intelligence.

software platform turning any machine sounds and vibrations into actionable meaning at the edge MONITOR ANY EVENT ON ANY MACHINE OtoSense is not limited to the monitoring of continuous, steady sounds or vibrations. Any short, transient event can be characterized and identified as well, even in complex environments. The constant learning process allows growing the number of events Identified over time, turning each anomaly into an identifiable, known event over time. USING ANY VIBRATION/SOUND SENSOR Accelerometer, piezo crystal, MEMS microphone, Pressure Sensor, laser-based vibration sensor... any sensor delivering an analog or digital time series can be processed by OtoSense edge software. Sample rates from 50Hz to 392kHz can be used.

Predictive Maintenance Using proprietary vibration analysis, our sensors are able to predict bearing and wheel failure several months in advance, eliminating costly network disruptions and allowing you to plan your maintenance spend with confidence. Inventory Control Not only will you able to track the location of your assets, you'll also be able to track your maintenance and inventory activities. Whether you have a fully utilized ERP or CMMS system or just a well-used clipboard, our web platform can boost your current system by Tracking specific components, and recording asset maintenance activities. Derailment Prevention With the ability to detect bad wheels and bearings months before failure, eliminate catastrophic derailments and costly maintenance delays. Continuous monitoring of rail car and locomotive wheels and bearings provides an extra layer of prevention to keep your crews, customer's goods, and your assets safe and secure. Track & Trace Your customers are asking for detailed and frequent shipment updates. Give them Amazon-like visibility into their shipment using our continuous GPS Tracking. Combined with our simple web interface you will be able to keep tabs on your rail cars anytime, anywhere.

Software Solution Distence provides Condence product family that combines both embedded analytics and cloud service. Our software portfolio can be described as a toolbox or library of different analytical options. The Condence software is divided into two places which are the cloud and the embedded edge (edge computing & analytics on hardware). Data is analyzed on the local level and only the relevant part of it is sent to the cloud. Edge computing analysis requires a set of rules to define measurement from the sensor and to understand the data by making data computations. To make this scalable, Distence provides device management from the could and analysis at the edge. Managing and optimizing data connectivity is also a relevant benefit in this approach. In some cases, you might even need the RAW data from the vibration sensor. A user can ask for it when needed and post the analysis to an external system. Cloud computing is used also for visualizing, post-processing and accessing measurements and metrics. Data can be stored in the cloud or sent to a third party cloud by enabling a “system of systems” solution architecture. Hardware Solution Distence has more than 15 years of experience on hardware development for embedded application in industrial environments. Described hardware is designed and optimized for this specific use. Distence provides several hardware options in the Condence product family. The solution is built from Edge Computing hardware running embedded analytics and management from the cloud. Hardware is modular and it can easily adjust to fit required general needs. Two most common differences of hardware types are whether it will need vibration analysis from IEPE channel or not. Our technology can take up to 8 dimensions of acceleration simultaneously. If there is a need for more, you can combine several hardware units. On top of this, there is an option to connect V or mA sensors and digital buses to have a complete overview of asset performance and condition.

1. 天泽智云自主研发iEC系列边缘智能硬件和iGW系列工业智能网关，可快速接入EdgePro，为用户提供软硬算一体化的设备状态监测、异常检测、健康管理、寿命预测等功能。 2. 工业物联网与边缘智能系统 EdgePro是一款支持快速实现工业数据采集和边缘计算的工业物联网与边缘智能系统，将物联网、边缘计算、特征工程与机器学习等技术融于一体，支持将工业智能算法一键部署到边缘硬件，打通工业互联网和边缘智能的最后一公里，实现工业边缘智能决策。

Amdocs, ElectroMech, HCC