NTP Server Clock Adjustment with Chrony

Dinar, Amina Elbatoul; Merabet, Boualem; Ghouali, Samir

doi:10.1007/978-981-15-6198-6_16

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…Timestamps and are especially critical in IoT edge devices that require timesensitive data collection such as acoustic sensor data [47]. This can be achieved for example, through the use of software tools such as Chrony or NTP to synchronize the system clock with a common time server [48], [49]. The more detailed architecture in the Figure 2 shows the complete system with various sensors.…”

Section: Resultsmentioning

confidence: 99%

Industrial IoT system for laser-wire direct energy deposition: data collection and visualization of manufacturing process signals

Martikkala,

Wiikinkoski,

Asadi

et al. 2023

IOP Conf. Ser.: Mater. Sci. Eng.

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Industry 4.0, also known as the Fourth Industrial Revolution, is a term used to describe the current trend of automation and data exchange in manufacturing and other industries. The Internet of Things (IoT) plays a crucial role in Industry 4.0 by connecting devices, machines, and products to the Internet and enabling real-time data exchange. Moreover, additive manufacturing is a key developing manufacturing technology in Industry 4.0. New technologies such as data analysis with Artificial Intelligence and machine vision are widely used in optimization. However, in a lab environment, these technologies depend on the data collected from the process. For such work, the researchers should be able to focus on their core research rather than on the development of infrastructure to collect and analyse the data. This research presents an open software and hardware IoT solution to monitor a laser wire direct energy deposition system installed in a cartesian type 3-axis machine tool. The IoT solution adopts three open-source tools for core issues, such as 1) interoperability, flexibility, and availability; 2) data storage; and 3) data visualization of sensor data and manufacturing process signals. The system architecture is based on one or more edge devices connected to sensors and forwarding their data toward a local API endpoint. The endpoint is created with Node-RED, an open-source visual flow-based development tool for IoT data. Node-RED forwards the data to an open-source InfluxDB database. Finally, the data is visualized with an open-source Grafana application. The system is prototyped, designed, implemented, and tested in a lab environment to monitor a laser-wire direct energy deposition process. The significance of such a flexible IoT data collection system for research and development projects can be integral. Thus, providing savings in time and money can substantially speed up the development of new technologies where the value arises from the sensor data and its analysis.

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Section: Resultsmentioning

confidence: 99%

Industrial IoT system for laser-wire direct energy deposition: data collection and visualization of manufacturing process signals

Martikkala,

Wiikinkoski,

Asadi

et al. 2023

IOP Conf. Ser.: Mater. Sci. Eng.

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“…It is evident that relying solely on an NTP stratum 1 server may not ensure the robustness necessary to establish a dependable time axis for vibrationbased monitoring. To address this limitation and achieve greater precision, we propose the implementation of a local NTP server powered by chrony [45,46], complemented by the incorporation of the DS3231 Real-Time Clock (RTC) module as a reliable time source. Integrating the DS3231 RTC module not only guarantees resilient timekeeping, especially during power outages but also enhances synchronization, thereby fortifying the platform's robustness and reliability.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Wireless Sensor Network in Structural Health Monitoring through TCP/IP Socket Programming-Based Mimic Broadcasting: Experimental Validation

Nilnoree,

Taparugssanagorn,

Kaemarungsi

et al. 2024

Applied Sciences

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This paper presents the implementation of a synchronous Structural Health Monitoring (SHM) framework utilizing wireless, low-cost, and off-the-shelf components. Vibration-based condition monitoring plays a crucial role in assessing the reliability of structural systems by detecting damage through changes in vibration parameters. The adoption of low-cost Micro-Electro-Mechanical Systems (MEMS) sensors in Wireless Sensor Networks (WSNs) has gained traction, emphasizing the need for precise time synchronization to schedule wake-up times of multiple sensor nodes for data collection. To address this challenge, our proposed method introduces a TCP/IP socket programming-based mimic broadcasting mechanism and a scalable sensing network controlled by a central gateway, leveraging the Raspberry Pi Python platform. The system operates using Internet of Things (IoT) concepts and adopts a star topology, where a packet is transmitted from the gateway to initiate measurements simultaneously on multiple sensor nodes. The sensor node comprises a MEMS accelerometer, a real time clock DS3231 module and Raspberry Pi Zero 2W (RPi0-2W), while the gateway employs a Raspberry Pi 4 (RPi4). To ensure accurate time synchronization, all Pi0-2W nodes were configured as Network Time Protocol (NTP) clients, synchronizing with an RPi4 server using chrony, the reliable implementation of the NTP. Through experimental evaluations, the system demonstrates its effectiveness and reliability in achieving initial time synchronization. This study addresses the challenge of achieving precise time alignment between sensor nodes through the utilization of the Dynamic Time Wrapping (DTW) method for Frequency Domain Decomposition (FDD) applications. The contribution of this research significantly enhances the field by improving the accuracy and reliability of time-aligned measurements, with a specific focus on utilizing low-cost sensors. By developing a practical and cost-effective SHM framework, this work advances the accessibility and scalability of structural health monitoring solutions, facilitating more widespread adoption and implementation in various engineering applications

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“…The MK5 runs a gpsd server to allow applications to access GPS data. Chrony [26] is a versatile implementation of the NTP (Network Time Protocol), and it can synchronize the system clock with the NTP servers and reference clocks. With the help of the Chrony module all of the OBUs can be configured to have a reference time with microsecond accuracy.…”

mentioning

confidence: 99%

Towards Cooperative Perception Services for ITS: Digital Twin in the Automotive Edge Cloud

et al. 2021

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We demonstrate a working functional prototype of a cooperative perception system that maintains a real-time digital twin of the traffic environment, providing a more accurate and more reliable model than any of the participant subsystems—in this case, smart vehicles and infrastructure stations—would manage individually. The importance of such technology is that it can facilitate a spectrum of new derivative services, including cloud-assisted and cloud-controlled ADAS functions, dynamic map generation with analytics for traffic control and road infrastructure monitoring, a digital framework for operating vehicle testing grounds, logistics facilities, etc. In this paper, we constrain our discussion on the viability of the core concept and implement a system that provides a single service: the live visualization of our digital twin in a 3D simulation, which instantly and reliably matches the state of the real-world environment and showcases the advantages of real-time fusion of sensory data from various traffic participants. We envision this prototype system as part of a larger network of local information processing and integration nodes, i.e., the logically centralized digital twin is maintained in a physically distributed edge cloud.

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NTP Server Clock Adjustment with Chrony

Cited by 4 publications

References 7 publications

Industrial IoT system for laser-wire direct energy deposition: data collection and visualization of manufacturing process signals

Industrial IoT system for laser-wire direct energy deposition: data collection and visualization of manufacturing process signals

Enhancing Wireless Sensor Network in Structural Health Monitoring through TCP/IP Socket Programming-Based Mimic Broadcasting: Experimental Validation

Towards Cooperative Perception Services for ITS: Digital Twin in the Automotive Edge Cloud

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