Clock Synchronization of Distributed, Real-Time, Industrial Data Acquisition Systems

Flammini, A.; Ferrari, Paolo

doi:10.5772/10458

Cited by 7 publications

(6 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In real vehicular systems, GPS systems can be used to synchronize clocks to a global ∼100 ns accuracy [9]. But, using GPS devices with hybrid simulation setups and partly virtual simulation entities is impractical.…”

Section: Timing Aspectsmentioning

confidence: 99%

Scalability of a Machine Learning Environment for Autonomous Driving Research

Debner

Hyyppä

Hanhirova

et al. 2019

2019 IEEE 17th International Conference on Industrial Informatics (INDIN)

View full text Add to dashboard Cite

We study scalability of machine learning environments in the context of mixed collaborative driving. Mixed collaborative driving includes both human controlled vehicles and vehicles controlled by AI (Artificial Intelligence) that share the physical road resources (e.g., intersections and roundabouts). Many such driving situations cannot be easily created nor replicated in the real life. Therefore, development and testing of AI systems is often done with simulators. Machine learning environments must maintain a real-time understanding of their traffic situation. Scaling of the machine environment to multiple distributed nodes is required to support larger number of participating vehicles. Our experimental environment consists of the CARLA simulator, custom AI implemented with the TensorFlow framework, and a corner case search subsystem. With the corner case search subsystem we can automatically evaluate the AI in different driving scenarios. In this paper, we present how scaling of the envinronment to multiple distributed nodes affects its performance.

show abstract

Section: Timing Aspectsmentioning

confidence: 99%

Scalability of a Machine Learning Environment for Autonomous Driving Research

Debner

Hyyppä

Hanhirova

et al. 2019

2019 IEEE 17th International Conference on Industrial Informatics (INDIN)

View full text Add to dashboard Cite

show abstract

“…Based on factors such as efficiency, power consumption, and cost, centralized control systems often cannot meet performance requirements. Thanks to the improvement of network technology, distributed systems are gradually replacing centralized systems in many fields, such as vehicle-mounted communication systems [2], automated transmission stations [3], and industrial data acquisition systems [4]. A distributed system consists of multiple nodes that can process data independently, which greatly improves efficiency and flexibility.…”

Section: Introductionmentioning

confidence: 99%

Design considerations for hardware implementation of nanoseconds time synchronization low-cost system based on precise time protocol

2022

View full text Add to dashboard Cite

Precise time synchronization is the key for coordinating every node of the distributed system to complete tasks. The widespread use of Field Programmable Gate Array (FPGA) in distributed nodes has a positive effect on improving time synchronization accuracy. Although the use of FPGA could significantly improve time synchronization accuracy, there is not a universal design guideline. This work has analyzed and summarized three factors that should be considered when building a low-cost clock synchronization system using FPGA: where the timestamp should be generated, the calculation and correction of time offset, and how to handle Precise Time Protocol (PTP) messages. Based on these design considerations, the time synchronization system intellectual property (IP) core was constructed. The synchronization accuracy experiments have been performed on Zynq system-on-chip (SoC) evaluation boards of different architectures. The experimental results demonstrated that the time synchronization system constructed in this article could achieve nanoseconds accuracy.

show abstract

“…As a consequence, the resulting data streams cannot be related to each other directly, and an interpretation becomes impossible. For stationary systems and smartphones alike, the initial synchronization of clocks can be realized in two ways [42,43]. In a network-based environment, a master clock can be defined and can be used to determine the initial differences between the master and every other clock.…”

Section: Introductionmentioning

confidence: 99%

Pocketable Labs for Everyone: Synchronized Multi-Sensor Data Streaming and Recording on Smartphones with the Lab Streaming Layer

Blum

Hölle

Bleichner

et al. 2021

Sensors

View full text Add to dashboard Cite

The streaming and recording of smartphone sensor signals is desirable for mHealth, telemedicine, environmental monitoring and other applications. Time series data gathered in these fields typically benefit from the time-synchronized integration of different sensor signals. However, solutions required for this synchronization are mostly available for stationary setups. We hope to contribute to the important emerging field of portable data acquisition by presenting open-source Android applications both for the synchronized streaming (Send-a) and recording (Record-a) of multiple sensor data streams. We validate the applications in terms of functionality, flexibility and precision in fully mobile setups and in hybrid setups combining mobile and desktop hardware. Our results show that the fully mobile solution is equivalent to well-established desktop versions. With the streaming application Send-a and the recording application Record-a, purely smartphone-based setups for mobile research and personal health settings can be realized on off-the-shelf Android devices.

show abstract

Clock Synchronization of Distributed, Real-Time, Industrial Data Acquisition Systems

Cited by 7 publications

References 22 publications

Scalability of a Machine Learning Environment for Autonomous Driving Research

Scalability of a Machine Learning Environment for Autonomous Driving Research

Design considerations for hardware implementation of nanoseconds time synchronization low-cost system based on precise time protocol

Pocketable Labs for Everyone: Synchronized Multi-Sensor Data Streaming and Recording on Smartphones with the Lab Streaming Layer

Contact Info

Product

Resources

About