SA1D-CNN: A Separable and Attention Based Lightweight Sensor Fault Diagnosis Method for Solar Insecticidal Lamp Internet of Things

Yang, Xing; Liu, Ye; Li, Kailiang; Huo, Zhiqiang; Zhang, Yu

doi:10.1109/ojies.2022.3172899

Cited by 10 publications

(9 citation statements)

References 41 publications

(55 reference statements)

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“…It is worth noting that the proposed method may not achieve 100% detection accuracy due to the presence of certain noise signals, such as sensor faults and electromagnetic interference caused by high-voltage discharge [ 5 ]. Detecting these types of noise signals can be challenging.…”

Section: Discussionmentioning

confidence: 99%

“…Since SIL-IoTs operate in multiple interrelated ways, the distributed fault-detection strategy, which detects faults via local evidence on sensor nodes, can be applied to address these issues [ 5 ]. Furthermore, the distributed fault-detection methods in wireless sensor networks (WSNs) need to consider the computational capacity, bandwidth usage, and residual energy of nodes [ 22 ].…”

Section: Related Workmentioning

confidence: 99%

“…Data collected from several on-board sensors are used to monitor the state of SIL-IoTs nodes and obtain statistical indicators that contribute to the estimation of pest occurrence, energy consumption trends, and fault symptoms [ 5 ]. Specifically, the voltage and current values of the battery, solar panel input/output, lure lamp, and metal mesh (represented as

, and

) are key contributors to SIL-IoTs energy management and module monitoring.…”

Section: System Modelmentioning

confidence: 99%

“…Typically, SIL-IoTs nodes are geographically dispersed and deployed in an unattended and harsh environment. Inevitably, the SIL-IoTs nodes are susceptible to aging, theft, and vandalism [ 5 ]. According to several relevant literature [ 6 ], there have been 19 related news reports of SIL failures in the past 20 years, and a total of more than 7000 SILs have been abandoned due to insufficient fault detection and maintenance work, which is not conducive to the promotion of products and the establishment of user confidence.…”

Section: Introductionmentioning

confidence: 99%

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A Lightweight Fault-Detection Scheme for Resource-Constrained Solar Insecticidal Lamp IoTs

Yang

Shu

et al. 2023

Sensors

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The Solar Insecticidal Lamp Internet of Things (SIL-IoTs) is an emerging paradigm that extends Internet of Things (IoT) technology to agricultural-enabled electronic devices. Ensuring the dependability and safety of SIL-IoTs is crucial for pest monitoring, prediction, and prevention. However, SIL-IoTs can experience system performance degradation due to failures, which can be attributed to complex environmental changes and device deterioration in agricultural settings. This study proposes a sensor-level lightweight fault-detection scheme that takes into account realistic constraints such as computational resources and energy. By analyzing fault characteristics, we designed a distributed fault-detection method based on operation condition differences, interval number residuals, and feature residuals. Several experiments were conducted to validate the effectiveness of the proposed method. The results demonstrated that our method achieves an average F1-score of 95.59%. Furthermore, the proposed method only consumes an additional 0.27% of the total power, and utilizes 0.9% RAM and 3.1% Flash on the Arduino of the SIL-IoTs node. These findings indicated that the proposed method is lightweight and energy-efficient.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

, and

) are key contributors to SIL-IoTs energy management and module monitoring.…”

Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Lightweight Fault-Detection Scheme for Resource-Constrained Solar Insecticidal Lamp IoTs

Yang

Shu

et al. 2023

Sensors

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“…As depicted in Fig. 3, these include solar panel voltage and current sensors, a humidity sensor (DHT11), a temperature sensor (DS18B20), a sound sensor, as well as voltage and current sensors [11]. Controlled by an Arduino microcontroller, these Fig.…”

Section: Introductionmentioning

confidence: 99%

Pests Phototactic Rhythm Driven Solar Insecticidal Lamp Device Evolution: Mathematical Model Preliminary Result and Future Directions

Yao,

Shu,

Lin

et al. 2024

IEEE Open J. Ind. Electron. Soc.

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The Solar Insecticidal Lamp (SIL) is an electronic device designed for physical pest control, widely utilized in orchards and farmland. Currently, the characteristic of the phototactic rhythm of pest is commonly ignored in the design of SILs, hindering pest control. This phenomenon is particularly evident in the prolonged turning on/off lamp, which leads to inefficient energy utilization due to the lack of adjustment for peak pest activity. To address this issue, four models based on the phototactic rhythm of pests are developed to adjust the insecticidal timing of SIL for precise pest control. These mathematical models are established considering the phototactic rhythm of four pests that exert the most significant impact on crops, namely Mythimna seperata, Helicoverpa armigera, Proxenus lepigone, and Cnaphalocrocis medinalis. The results indicate that mathematical modeling of the phototactic rhythm of the pest is valuable in capturing their nocturnal activity patterns. The proposed mathematical model can help to optimize the on/off time of SIL for pest control. The integration of electronic devices such as SIL in pest management represents a noteworthy advancement in agricultural electronics, contributing to the progress of smart and sustainable agriculture.

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Noise-robust machinery fault diagnosis based on self-attention mechanism in wavelet domain

Tian

Zhang

et al. 2023

Measurement

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SA1D-CNN: A Separable and Attention Based Lightweight Sensor Fault Diagnosis Method for Solar Insecticidal Lamp Internet of Things

Cited by 10 publications

References 41 publications

A Lightweight Fault-Detection Scheme for Resource-Constrained Solar Insecticidal Lamp IoTs

A Lightweight Fault-Detection Scheme for Resource-Constrained Solar Insecticidal Lamp IoTs

Pests Phototactic Rhythm Driven Solar Insecticidal Lamp Device Evolution: Mathematical Model Preliminary Result and Future Directions

Noise-robust machinery fault diagnosis based on self-attention mechanism in wavelet domain

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