Abstract
Data collection in an industrial environment enables several benefits: processes and machinery can be monitored; the performance can be optimized; and the machinery can be proactively maintained. To collect data from machines or production lines, numerous sensors are required, which necessitates a management system. The management of constrained IoT devices such as sensor nodes is extensively studied. However, the previous studies focused only on the remote software updating or configuration of sensor nodes. This paper presents a holistic Open Sensor Manager (OSEMA), which addresses also generating software for different sensor models based on the configuration. In addition, it offers a user-friendly web interface, as well as a REST API (Representational State Transfer Application Programming Interface) for the management. The manager is built with the Django web framework, and sensor nodes rely on ESP32-based microcontrollers. OSEMA enables secure remote software updates of sensor nodes via encryption and hash-based message authentication code. The collected data can be transmitted using the Hypertext Transfer Protocol (HTTP) and Message Queuing Telemetry Transport (MQTT). The use of OSEMA is demonstrated in an industrial domain with applications estimating the usage roughness of an overhead crane and tracking its location. OSEMA enables retrofitting different sensors to existing machinery and processes, allowing additional data collection.
Highlights
Managing sensors has traditionally been a time consuming manual task that has been feasible due to the low update frequency required by the closed nature of legacy systems
Compared to the other systems, Open Sensor Manager (OSEMA) minimized manual work: once a new sensor model was added to the manager, deploying a new sensor node was straightforward, since the code could be generated by the platform, and the user needed only to choose the desired configuration
This paper presented an open-sensor manager, OSEMA, which allowed remote configuration and software updates of sensor nodes over the Internet via the graphical user interface and REST API
Summary
Managing sensors has traditionally been a time consuming manual task that has been feasible due to the low update frequency required by the closed nature of legacy systems. The number of sensors has rapidly increased as the cost of sensing has been decreased, which further creates the need for efficient management. Numerous connected devices, such as smartphones, personal computers, and electric cars, are already updated and configured as fleets by their manufacturers to ensure security and deliver the latest improvements. The industry has taken the Internet-connected devices cautiously into use compared to the consumer market, yet due to the advantages of these devices, they are becoming more widely adopted in industrial environments [1]. The Industrial Internet of Things (IIoT) offers the possibility to collect data from industrial machinery and processes at a low cost. The manufacturer of an overhead crane can compare the design parameters and the actual use of the crane and adjust these parameters for the generation of products
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