Motor temperature based on LoRa and virtual instrument Online monitoring system research

Jiang, Shuanlei; Cheng, Weiming

doi:10.1109/eitce47263.2019.9094834

Cited by 5 publications

(3 citation statements)

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“…7 By using the LoRa interface, industries can remotely monitor and control machinery, equipment, assets, and environmental conditions, increasing efficiency, reducing operational costs, and improving safety. 8,9 Advantages of LoRa include its long-range capability, small power consumption, and flexibility. However, issues include interference and distance restrictions.…”

Section: Introductionmentioning

confidence: 99%

Industrial measurement system with LoRa interface

Natu,

Rajankar,

Rajankar

et al. 2024

JIST

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Measurement,monitoring, and controlling various process parameters is a practice that has been prevalent in the manufacturing industry for the past few decades. Numerous measurement instruments which are available in the industry suit only a particular application requirement. Thus, multiplexing of a measurement device has many advantages over a single parameter measurement device. Wireless connectivity with the application infrastructure has always been desirable since the advent of IoT. This paper showcases the design process for the development of such a multiplexed measurement system, that will be compatible with a wide range of applications, with minimal installation space and cost, and which can communicate with the IoT network with the help of a LoRa module. LoRa, a wireless modulation method, enables low-power devices to communicate across long distances and low bit rates. The design of industrial measurement with LoRA interface aims to be a portable stand-alone embedded system, with an attractive and easily interpretable Graphical User Interface (GUI).

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Section: Introductionmentioning

confidence: 99%

Industrial measurement system with LoRa interface

Natu,

Rajankar,

Rajankar

et al. 2024

JIST

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“…Extensive research has been conducted by scholars on the monitoring and estimation of motor temperature. Jiang Shuanlei et al [3] developed an online motor temperature monitoring system that utilizes LoRa wireless communication and virtual instruments. Popov, N.Z.…”

Section: Introductionmentioning

confidence: 99%

Simulation Modeling and Temperature Over-Advance Perception of Mine Hoist System Based on Digital Twin Technology

Liang,

Wu,

Ruan

2023

Machines

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The temperature prediction of hoist motor is one of the effective ways to ensure the safe production of mine hoist. Digital twin technology is a technology that combines the physical system of the real world with the digital model of the virtual world. Through digital twin technology, the physical system in the real world can be monitored and simulated in a virtual environment, and the state information of these systems can be monitored in real time. Recurrent neural network is a kind of neural network suitable for processing sequence data, which can automatically extract and learn the feature information in sequential data. To achieve online monitoring and over-advance perception of the temperature of the mine hoist motor, a temperature prediction and advance sensing method based on digital twins and recurrent neural network is proposed. To begin with, a high-fidelity digital twin monitoring system for mine hoists is constructed, enabling the acquisition of real-time temperature data. These temperature data are then fed into a neural network for feature extraction and precise prediction of the motor’s state. Subsequently, based on the temperature prediction module in the digital twin hoist monitoring system, a user interface (UI) is developed, and a fully functional digital twin temperature monitoring system is built and experimentally validated. The experimental results demonstrate that the digital twin system effectively monitors the real-time temperature state of the motor during the operation of the mine hoist. Furthermore, the integration of digital twin and recurrent neural network enables the accurate prediction and proactive detection of temperature variations in the motor of the mine hoist. This innovative approach introduces a novel perspective for implementing predictive maintenance in the mining industry, enhancing the safety and reliability of mine hoists. Additionally, it offers valuable technical support in improving maintenance efficiency and reducing associated costs.

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“…The terminal node uses STM32L151C8T6 chip and a variety of water quality sensors to obtain and package the water quality information of target water body in real time and then upload data packet to the gateway by LoRa technology. The SX1301 baseband chip commonly used in LoRa gateways has only one downlink channel, which is not enough to support the concurrent upload of large-scale water quality monitoring nodes [21,22]. Therefore, this research has expanded multiple SX1278 baseband chips in the gateway to replace the original downlink channel to alleviate the high concurrent access problem of data.…”

Section: Introductionmentioning

confidence: 99%

Research and Design of Distributed IoT Water Environment Monitoring System Based on LoRa

Chen

Hao

Lu³

et al. 2021

Wireless Communications and Mobile Computing

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In order to solve the problems of high labor cost, long detection period, and low degree of information in current water environment monitoring, this paper proposes a lake water environment monitoring system based on LoRa and Internet of Things technology. The system realizes remote collection, data storage, dynamic monitoring, and pollution alarm for the distributed deployment of multisensor node information (water temperature, pH, turbidity, conductivity, and other water quality parameters). Moreover, the system uses STM32L151C8T6 microprocessor and multiple types of water quality sensors to collect water quality parameters in real time, and the data is packaged and sent to the LoRa gateway remotely by LoRa technology. Then, the gateway completes the bridging of LoRa link to IP link and forwards the water quality information to the Alibaba Cloud server. Finally, end users can realize the water quality control of monitored water area by monitoring management platform. The experimental results show that the system has a good performance in terms of real-time data acquisition accuracy, data transmission reliability, and pollution alarm success rate. The average relative errors of water temperature, pH, turbidity, and conductivity are 0.31%, 0.28%, 3.96%, and 0.71%, respectively. In addition, the signal reception strength of the system within 2 km is better than -81 dBm, and the average packet loss rate is only 94%. In short, the system’s high accuracy, high reliability, and long distance characteristics meet the needs of large area water quality monitoring.

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Motor temperature based on LoRa and virtual instrument Online monitoring system research

Cited by 5 publications

References 0 publications

Industrial measurement system with LoRa interface

Industrial measurement system with LoRa interface

Simulation Modeling and Temperature Over-Advance Perception of Mine Hoist System Based on Digital Twin Technology

Research and Design of Distributed IoT Water Environment Monitoring System Based on LoRa

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