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Engineering, Industrial
Sensors play a crucial role in Industry 4.0 by enabling machines to collect and analyze data in real time, which can be used to improve production processes and increase efficiency. Smart sensors can monitor a variety of parameters in an electric motor, such as temperature, vibration, and electric tension, providing valuable insight into its performance and condition. These data can be used to identify potential issues before they escalate, reducing downtime and increasing productivity.
- Industry 4.0
- smart sensors
- integrated sensor
- microprocessor
- application
1. Introduction
The Industrial Revolution marked a turning point in the history of humanity, leading to the development of new technologies and innovations that changed the way we live and work. One of the key advancements of the Industrial Revolution was the development of sensors for machines [1,2,3,4], which helped to increase efficiency and productivity in manufacturing. With the advent of the Fourth Industrial Revolution, or Industry 4.0, the use of sensors has become even more widespread, leading to the creation of smart factories and the integration of advanced technologies such as the Internet of Things (IoT) and artificial intelligence (AI) [1,5].
Scholars and practitioners [6,7,8,9] have started to analyze relationships between Industry 4.0 technologies and environmental management. In the manufacturing sector specifically, some companies are implementing solutions based on smart sensors and AI, especially to improve energy consumption, while others are focusing on additive manufacturing to conserve and reuse resources [3]. Although some companies are implementing Industry 4.0 technologies to address waste management, it is unclear what kind of Industry 4.0 technologies may assist with this or with air and water pollution. On this uncertain ground, authors such as [10] believe that Industry 4.0 technologies may hamper environmental performance.
Sensors play a crucial role in Industry 4.0 by enabling machines to collect and analyze data in real time, which can be used to improve production processes and increase efficiency [11,12,13,14,15,16,17,18,19]. The research of [20] confirms that sensors can perform such roles. According to Refs. [21,22], the sooner the electrical anomaly is identified, the longer the best performance of the electric motor will be maintained. This concept is characterized by bringing the preventive maintenance intervention, by predictive methods, to point P of the P-F curve, as found in Ref. [23] and shown in Figure 1. Thus, we can monitor the performance of machines, detect potential problems, and trigger maintenance activities before they become critical. This proactive approach to industrial maintenance can help by reducing downtime, minimizing the risk of equipment failure, and extending the lifespan of important parts of machines, such as electric motors [21,24,25].
Figure 1. P-F curve.
The objective of such predictive maintenance is to reduce maintenance costs and increase the availability of the machine in an attempt to identify various issues in a system from the start of the degradation. Based on this information, the manager can decide which type of maintenance intervention would be better [23].
The Figure 1 show three examples of conditions of machine or system. The first condition, indicated by the green line is a perfect condition of the system, after the green line, the system start to decrease their functions condition. The point “P” represent the increase probability point of potential failure. Without maintenance or any intervention, the system could present a functional failure, generating stops or loss of productivities in the system.
In addition, among the industrial equipment currently used, those that have electric motors as an integral part of the equipment or system are significant in quantity and criticality, allowing machines to perform the required tasks [26]. Electric motors are important devices for many industrial processes, as they are widely used as primary movers of most of the loads involved in these applications [27]. According to Refs. [10,28], their vast usage can represent, in terms of electrical consumption, between 40% and 60% of the total consumption on any industrial site.
Smart sensors can monitor a variety of parameters in an electric motor, such as temperature, vibration, and electric tension, providing valuable insight into its performance and condition [10]. These data can be used to identify potential issues before they escalate, reducing downtime and increasing productivity [29,30].
Additionally, the use of smart sensors can also help companies to optimize their energy usage, as well as track and manage their carbon footprint [7,31]. With this information, companies can make informed decisions about how to reduce their environmental impact while improving their bottom line, as reported by Ref. [31]. However, there are several types of smart sensors available on the market. It is necessary to evaluate which sensor is most suitable for a specific operation, considering physical parameters of the process, such as temperature and vibration range, and aspects such as the financial ability to purchase these sensors [32,33,34].
2. Smart Sensors Application
Smart sensors can be found in a wide range of applications, from industrial machinery, subway stations, and smart homes to wearable devices and medical equipment. They can measure a variety of parameters, such as temperature, humidity, light, and motion, providing real-time data to help monitor and control systems [35,36].
According to Ref. [37], in the conventional approach, the sheer number of accompanying wires, fiber optic cables, or other physical transmission mediums may be prohibitive, particularly for structures such as long-span bridges or tall buildings. Consequently, global wireless communication technologies, which will facilitate low-cost, densely distributed sensing, have been investigated [38].
A sensor is a device designed to take information from an object and convert it into an electrical signal [38,39]. According to Ref. [40], conventional integrated sensors can be divided into three parts (Figure 2): (i) the sensing element; (ii) signal conditioning and processing (e.g., amplification, linearization, compensation, and filtering); and (iii) sensor interfaces (e.g., wires, plugs, and sockets for communication with other electronic components).
Figure 2. Traditional sensors logic diagram.
As illustrated in Figure 3, the essential difference between a smart sensor and a standard integrated sensor is its intelligence capabilities, i.e., the onboard microprocessor. The microprocessor is typically used for digital processing, analog-to-digital or frequency-to-code conversions, calculations, and interfacing functions, which can facilitate self-diagnostics, self-identification, or self-adaptation (decision-making) functions [38]. It can also decide when to dump/store data and control when and for how long it will be fully awake to minimize power consumption [6,27].
Figure 3. Smart sensor logic diagram.
According to Refs. [7,41,42], smart sensors are devices that combine the traditional functions of sensors with additional capabilities such as data processing, communication, and self-awareness. Some key qualities of smart sensors are presented in Table 1.
Table 1. Functions of a smart sensor.
| Characteristics | Description |
|---|---|
| Multi-functionality | Smart sensors are capable of not only detecting and measuring physical variables, but also processing, storing, and transmitting data. |
| Connectivity | Smart sensors can communicate wirelessly with other devices and systems, allowing for real-time data exchange and control. |
| Autonomy | Smart sensors can make decisions based on their measurements, without the need for human intervention. |
| Intelligence | Smart sensors use algorithms and machine learning techniques used to analyze data, identify patterns, and make predictions. |
| Integration | Smart sensors can be used to integrate systems that were previously installed. |
| Miniaturization | Smart sensors are often designed to be small and compact, making them suitable for use in a variety of applications and environments. |
| Cost-effectiveness | Smart sensors offer a cost-effective solution for monitoring and controlling physical processes, compared to traditional approaches that require multiple sensors, data loggers, and other hardware. |
The use of smart sensors allows for greater efficiency, improved decision making, and reduced costs. In industrial settings, for instance, smart sensors can monitor equipment and send alerts when maintenance is needed, reducing downtime and increasing productivity [36]. In healthcare, IoT sensors can be used to monitor patients and track their vital signs, improving patient outcomes and reducing healthcare costs [43].
There are several types of smart sensors available on the market from different manufacturers which have types of uses. In this way, the selection of a smart sensor for a given application is crucial, since the multiple functions of a smart sensor may vary according to the type of smart sensor, impacting the effectiveness of use during operation.
This entry is adapted from the peer-reviewed paper 10.3390/s23084131
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