Proposed Smart Monitoring System for the Detection of Bee Swarming

This paper presents a bee-condition-monitoring system incorporated with a deep-learning process to detect bee swarming. This system includes easy-to-use image acquisition and various end node approaches for either on-site or cloud-based mechanisms. This system also incorporates a new smart CNN engine called Swarm-engine for detecting bees and the issue of notifications in cases of bee swarming conditions to the apiarists. First, this paper presents the authors’ proposed implementation system architecture and end node versions that put it to the test. Then, several pre-trained networks of the authors’ proposed CNN Swarm-engine were also validated to detect bee-clustering events that may lead to swarming. Finally, their accuracy and performance towards detection were evaluated using both cloud cores and embedded ARM devices on parts of the system’s different end-node implementations.

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Research on the electrical equipment condition monitoring system architecture based on big data

2017 2nd International Conference on Control and Robotics Engineering (ICCRE) ◽

10.1109/iccre.2017.7935061 ◽

2017 ◽

Author(s):

Zhang Bowen ◽

Wang Feng ◽

Han Shuai ◽

Bi Jiangang ◽

Yan Chunyu

Keyword(s):

Big Data ◽

Monitoring System ◽

Condition Monitoring ◽

System Architecture ◽

Electrical Equipment ◽

Condition Monitoring System

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Trends™: An Automatic Gas Turbine Diagnostic System

Volume 1B: General ◽

10.1115/75-gt-82 ◽

1975 ◽

Author(s):

J. R. Passalacqua

Keyword(s):

Gas Turbine ◽

Monitoring System ◽

Condition Monitoring ◽

Diagnostic System ◽

Data Systems ◽

Standard Field ◽

Military Aviation ◽

Condition Monitoring System ◽

And Performance ◽

Engine Condition

This paper describes the development, operation and performance of an automatic engine condition monitoring system by Hamilton Standard Division of United Aircraft. This development is a direct outgrowth of Airborne Integrated Data Systems (AIDS), which have been developed for commercial and military aviation. Application of this technology to an installation at Hartford Electric Light Company’s South Meadow facility led to the development of the system currently being installed at several major utilities and marketed by Hamilton Standard. Field results of the HELCO testing are presented herein. As current installation information becomes available it will be made available to industry.

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Marine Gas Turbine Condition Monitoring by Gas Path Electrostatic Detection Techniques

Volume 2: Aircraft Engine; Marine; Microturbines and Small Turbomachinery ◽

10.1115/91-gt-376 ◽

1991 ◽

Cited By ~ 3

Author(s):

R. A. Cartwright ◽

C. Fisher

Keyword(s):

Gas Turbine ◽

Monitoring System ◽

Condition Monitoring ◽

Joint Research ◽

Detection Techniques ◽

Debris Particles ◽

On Line ◽

Path Condition ◽

Condition Monitoring System ◽

And Performance

It was discovered in 1970 that certain gas turbine failures are preceded by an increase in electrostatic activity in the exhaust gases. Joint research by the Royal Aerospace Establishment and Stewart Hughes Limited demonstrated that this characteristic could be used to provide an on-line monitor of the precursors to these failures. An extension of the research applied the theory to the detection of foreign objects ingested into engine inlets. The characteristics and performance of both the Ingested Debris Monitoring System (IDMS) and Engine Distress Monitoring System (EDMS) were examined during a recent 2000 hours endurance trial of a Rolls-Royce Marine Spey gas turbine. The EDMS produced clear evidence of the minor combustor degradation that occurred steadily throughout the trial and also reflected the absence of other engine damage. IDMS data showed that few significant debris particles passed through the engine. Video endoscope and visual inspection confirmed these results. Debris seeding trials further explored the capability of the IDMS to identify the damaging nature of debris and to assess the EDMS signature of consequential engine damage. The paper concludes that electrostatic monitoring at engine inlet and exhaust can identify the ingestion of debris, consequential engine damage and the onset of unexpected distresses caused by blade rubs or combustor degradation. The technique shows potential to provide early warning of certain types of engine damage to Engineer Officers at sea and development into a rugged gas path condition monitoring system continues.

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