Embedded control system for mobile atom interferometers

Malek, Bola; Pagel, Zachary; Wu, Xuejian; Müller, Holger

doi:10.1063/1.5083981

Cited by 16 publications

(6 citation statements)

References 26 publications

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“…The microcontroller system generates all the controlling digital and analog signals and measures the analog signal from the photodetector to obtain an interference fringe. A detailed implementation of the microcontroller system can be found in ( 40 ).…”

Section: Methodsmentioning

confidence: 99%

Gravity surveys using a mobile atom interferometer

et al. 2019

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Mobile gravimetry is important in metrology, navigation, geodesy, and geophysics. Atomic gravimeters could be among the most accurate mobile gravimeters but are currently constrained by being complex and fragile. Here, we demonstrate a mobile atomic gravimeter, measuring tidal gravity variations in the laboratory and surveying gravity in the field. The tidal gravity measurements achieve a sensitivity of 37 μGal/Hz (1 μGal = 10 nm/s2) and a long-term stability of better than 2 μGal, revealing ocean tidal loading effects and recording several distant earthquakes. We survey gravity in the Berkeley Hills with an uncertainty of around 0.04 mGal and determine the density of the subsurface rocks from the vertical gravity gradient. With simplicity and sensitivity, our instrument paves the way for bringing atomic gravimeters to field applications.

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Section: Methodsmentioning

confidence: 99%

Gravity surveys using a mobile atom interferometer

et al. 2019

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“…Device processors and application processors are the two functional groups of processors, and each device processor corresponds to a specific device, such as a network card or disk controller. By dynamically allocating operating systems on multicore processor cores, Malek et al realized running multiple operating systems on a multicore CPU [11]. The operating system on the processor core can be controlled dynamically using this design.…”

Section: Research Status Of Embeddedmentioning

confidence: 99%

Intelligent Identification of Embedded System Equipment State Based on Internet of Things

Xu¹

2022

Mobile Information Systems

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IoT (Internet of things) technology will be more widely used in the manufacturing industry, which will bring new trends to the development of the manufacturing industry. With the continuous advancement of IoT technology in the power field, the integration of IoT and smart grid has become a new topic. In the process of monitoring and troubleshooting the whole EPSE (Embedded Power System Equipment), it is very important to conduct a comprehensive analysis and routine testing on specific equipment and systems, so that the power system can work stably. In this paper, the knowledge sharing and transfer model of EPSE based on IoT is analyzed, and an intelligent identification method of EPSE state based on the GA-C_HMM (Genetic Algorithm-Coupled Hidden Markov Model) algorithm is proposed. After the GA parameters are optimized, the state model library is constructed by fitting each state data of the equipment to C_HMM, and the state of the equipment is determined by calculating the maximum probability value of the signal to be diagnosed. The experimental results show that when the recognition time is 12 hours, the recognition accuracy rate of the existing recognition method is 69.7%, and that of the recognition method in this paper is 98.3%, which shows that the recognition accuracy rate of the recognition method adopted in this study is higher than that of the existing methods and the recognition ability is stronger.

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“…Improvements in the capability of programmable electronics [15][16][17] and expanding database infrastructure can be exploited for use in cold atom laboratories [18]. Microprocessor approaches have been implemented for control systems [19][20][21], locking systems [22,23] and for environmental management [24]. Furthermore, such monitoring hardware can be integrated into feedback systems [25] and used with management software [24].…”

Section: Introductionmentioning

confidence: 99%

An environmental monitoring network for quantum gas experiments and devices

Barrett

Evans

Gadge

et al. 2022

Quantum Sci. Technol.

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Quantum technology is approaching a level of maturity, recently demonstrated in space-borne experiments and in-field measurements, which would allow for adoption by non-specialist users. Parallel advancements made in microprocessor-based electronics and database software can be combined to create robust, versatile and modular experimental monitoring systems. Here, we describe a monitoring network used across a number of cold atom laboratories with a shared laser system. The ability to diagnose malfunction, unexpected or unintended behavior and passively collect data for key experimental parameters, such as vacuum chamber pressure, laser beam power, or resistances of important conductors, significantly reduces debugging time. This allows for efficient control over a number of experiments and remote control when access is limited.

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Embedded control system for mobile atom interferometers

Cited by 16 publications

References 26 publications

Gravity surveys using a mobile atom interferometer

Gravity surveys using a mobile atom interferometer

Intelligent Identification of Embedded System Equipment State Based on Internet of Things

An environmental monitoring network for quantum gas experiments and devices

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