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aptpod intdash

Platform middleware that enables rapid and advanced digital transformation

intdash is a platform designed for efficient and bidirectional data transmission. It excels in streaming high volumes of time-series data, generated at rapid intervals ranging from 1 to 100 milliseconds, swiftly and reliably over networks like mobile networks. This high-speed transmission capability makes it ideal for handling large data sets typically produced in fast-paced environments.

The platform's capability to interconnect various high-data-producing components, such as vehicles, robots, industrial machinery. For these applications, the platform's capability to interconnect various high- data-producing components to control and visualize.

intdash

Maker:

aptpod,Inc.

It facilitates live data exchange over mobile networks or the Internet, catering to a range of applications in different sectors. Moreover, data transmitted via intdash is stored precisely with a time accuracy in its original form within a time-series datastore. This data is immediately available for diverse uses, including real-time visualization through Visual M2M, or for advanced computational processes and machine learning applications in Analytics Services.

 

 

These features position intdash as a robust and versatile solution for industries seeking efficient data management and analysis tools, enhancing both operational efficiency and data-driven decision-making.

Features

iSCP (intdash Stream Control Protocol)

iSCP (intdash Stream Control Protocol) is aptpod’s unique protocol designed to facilitate internal communication across modules. Serving as the communication backbone between edge devices and intermediary servers, iSCP underpins the core functionalities of intdash. It ensures exceptional real-time performance, comprehensive data collection, enhanced transmission efficiency, and effective rate control of data transmission.

Timestamp management

intdash streamlines the management of time-series data from multiple sources by standardizing timestamps, even for data originally without them. It adeptly converts various timestamp formats into its unified iSCP format, ensuring easy integration and synchronization. This process includes dividing timestamps into base time and elapsed time for enhanced device synchronization and data comparison. Additionally, intdash aligns media data like video and audio with the same time axis, maintaining consistency across all data types, based on inherent time information in the media. This feature simplifies data analysis and synchronization, making intdash an essential tool for efficient and accurate data management.

Support for data fusion

intdash revolutionizes data management in the manufacturing industry by seamlessly integrating data from diverse devices used in product development, validation, failure diagnosis, and machine learning. Its data fusion processing, which includes unified timestamp processing and data encapsulation, efficiently handles various data formats. This significantly reduces the workload associated with manual timestamp addition and time setting post-data collection, making intdash a crucial solution for streamlined and accurate data handling in manufacturing processes.

Automatic collection of data lost in transmission

intdash effectively addresses the challenges of remote data collection over unstable networks like mobile or wireless LANs. It features a robust mechanism that queues data at the edge during network disruptions and automatically resends it upon network restoration, ensuring complete data transmission. This reliable data arrival management between the edge and server guarantees comprehensive data collection, even in environments with network instability, making intdash a dependable solution for seamless data handling.

 

 

Discover the intdash Automotive Pro CAN/CAN-FD DAQ Bundle: your comprehensive package for remote automotive measurements, featuring an in-vehicle edge computer, CAN data interface device, cloud system, and a sophisticated data visualization and management application.

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