Beijing, China, July 11, 2016 - PTC (Nasdaq: PTC) announced at LiveWorx 2016? Today that it is expanding its IoT technology platform with distributed real-time edge computing capabilities, A computing power in particular to meet the most stringent industry applications. PTC currently offers pre-integrated edge "solution stacks" that collect and aggregate data from sensors, perform highly automated machine learning and predictive analytics, and enable web and mobile development to support an augmented reality (AR) experience. With these innovations, PTC not only provides technology platform support for edge computing, but it also supports distributed hybrid deployments that include edge and cloud computing capabilities. Translating billions of data points into actionable information is one of the key value drivers for the Internet of Things. However, due to the large amount of data generated inside IoT ecosystems, the rapidity and variety of in-formation data, various types of organizations face many challenges when using traditional IoT computing architectures. PTC relies on the powerful platform to provide a comprehensive IoT edge computing solution for organizations that solve this dilemma - where "edge computing" means that computing takes place at the networked device itself or near the device. For companies that value computing costs, latency, and security, PTC can get them out of the cloud and make the entire IoT computing operation onsite near data collection points. These edge computing capabilities provide the foundation for an optimized IoT system architecture that enables customers to flexibly deploy IoT platform capabilities in an ideal computing configuration, enhance speed and efficiency with the ability to deploy at the IoT edge, and integrate with the cloud platform , In order to enhance business connectivity and further improve computing power. If customers want to deploy a distributed architecture, PTC leverages an open platform strategy to provide pre-integrated access points connected to many of the major public cloud devices. PTC's edge computing power is part of its IoT technology platform. The main sensor data from the control system is collected through Kepware and can be aggregated with data collected by partners and from secondary sensors. Tight integration with ThingWorx Analytics enables seamless integration of sensor data into automated machine learning capabilities for real-time anomaly monitoring and failure prediction. In addition, ThingWorx also provides the implementation and operational capabilities of web pages and mobile applications to support the rapid development of specific user experiences. Vuforia Studio further expands the user experience to adapt the development of augmented reality and virtual reality experiences to IoT applications. PTC will work with leaders in IoT technologies such as Hewlett-Packard Enterprise (HPE) and National Instruments (NI) to optimize the performance of the PTC technology platform. This optimization enables easy deployment of edge calculations and rapid implementation of value. Jim Heppelmann, President and CEO of PTC, said: "Companies of all sizes and all IoT-related businesses can not afford to suffer from operational disruption due to a lack of understanding of equipment operations. By introducing real-time edge computing capabilities, PTC is working hard to improve the Internet of Things Solution developers provide the flexibility to build the Internet of Things so that IoT solutions developed by solution developers for their customers are more efficient, faster, safer, and more cost-effective. " At PTC's LiveWorx IoT conference, Flowserve pump demonstrations and robotic line demonstrations demonstrated the edge computing capability.
The grinder is composed of a moving disk and a gear ring. Through the high-speed rotation of a special shape of the moving disk, it is squeezed, collided and cut for many times, so as to achieve crushing. The material receives impact and shear between the high-speed rotating rotor and the stator of the toothed lining. The crushed material enters the grading area driven by the air flow. The qualified material is collected by the cyclone and dust collector, and the unqualified material is returned to the crushing area for crushing.
â— The machine has compact and reasonable structure, small size, low energy consumption, high efficiency, stable speed, low noise, reliable sealing, no dust pollution, simple installation, easy disassembly and repair, convenient replacement of damaged parts;
â— The equipment adopts the specialty of domestic and foreign dry mechanical crusher, according to the need to use large air volume into the cavity or water jacket cooling, in order to reduce the crushing heat, to prevent the shortcomings of material particles sticking to the wall, sticking to the crushing surface;
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