Sensors have a wide range of applications; every component of industrial production requires sensors to monitor and feed data back to the control center so that timely intervention can be carried out at any abnormal points to ensure the normal operation of industrial production. The next generation of advanced intelligent sensors will become the heart of industrial automation.
Sensors are important components of automated equipment.
Sensors are crucial components of automated equipment. Smart sensors, applied in smart cars, robots, and other applications, use artificial intelligence to identify detected conditions and provide feedback to drive systems. Guangdong Topstar Technology, a leading brand in manufacturing automation, has extensively utilized smart sensors in industrial robots and robotic arms since entering the automation field, capturing market share with its advanced technology. It is understood that with the development of industries demanding robots, the application of sensors in robots will become increasingly widespread, and the market space will expand significantly. Conversely, advancements in sensor technology will drive automation towards greater intelligence.
In recent years, sensor technology has developed rapidly and become more mature, which has driven the development of robotics technology to a certain extent. Innovation and progress in sensor technology will inevitably bring about innovation and progress in robotics and other automation industries. This is because many robot functions rely on sensors, which will promote greater intelligence in automation.
The next generation of advanced intelligent sensors will become the heart of industrial automation. A "smart factory" refers to a digital factory that leverages IoT and equipment monitoring technologies to enhance information management and services, clearly understand production and sales processes, improve production process controllability, reduce manual intervention on the production line, collect production line data in real time and accurately, and rationally plan and schedule production. Technologies enabling smart factories include weighing sensors that utilize wireless sensing, networked control systems, and wireless industrial communication. These sensors can quickly and directly measure and control certain product quality indicators online. Sensors integrating intelligent technologies can effectively solve the aforementioned problems.
Eight major applications of wireless sensor networks
Sensors have a wide range of applications. They are needed to monitor every part of industrial production and feed the data back to the control center so that abnormal nodes can be intervened in a timely manner to ensure the normal operation of industrial production.
(1) Applications in the military field
In the military field, WSNs, due to their dense and randomly distributed characteristics, are well-suited for use in harsh battlefield environments. WSNs can be used to monitor enemy forces and equipment within their territory, conduct real-time battlefield surveillance, locate targets, and detect nuclear or biological/chemical attacks.
(2) Supporting agricultural production
WSNs are particularly suitable for production and scientific research in the following areas: monitoring temperature, humidity, and light in greenhouses and soil; analyzing and measuring the growth patterns of valuable economic crops; and high-quality grape breeding and production. They can greatly benefit rural development and increase farmers' income. Building an automatic agricultural environmental monitoring system using WSNs, with a single network device for data collection and environmental control of wind, light, water, electricity, heat, and pesticides, can effectively improve the level of intensive agricultural production and enhance the scientific nature of agricultural production and planting.
(3) Ecological monitoring and disaster early warning
WSNs can be widely used in ecological environment monitoring, biological population research, meteorological and geographical research, flood and fire monitoring. Environmental monitoring provides a scientific basis for environmental protection decisions and is the foundation of ecological protection. Deploying WSNs in the field or areas unsuitable for manual monitoring allows for long-term, unattended, uninterrupted monitoring, providing real-time data for ecological environment protection and research. Specific applications include: studying endangered populations by tracking the habitats and foraging habits of rare birds and other animals; deploying sensor nodes along rivers to monitor water levels and water pollution; deploying nodes in areas prone to natural disasters such as mudslides and landslides to issue early warnings and take timely disaster relief measures; deploying numerous nodes in key protected forest areas to monitor internal fire risks, issuing alarms immediately upon detection of a fire, and providing the specific location and current size of the fire; and deploying nodes in areas prone to earthquakes, floods, remote mountainous areas, or isolated wilderness areas for temporary emergency communication.
(4) Infrastructure Status Monitoring System
WSN technology plays a positive role in ensuring safe construction of large-scale projects and monitoring the safety status of buildings. By deploying sensor nodes, the condition of buildings, bridges, and other structures can be observed in a timely and accurate manner, allowing for the prompt detection of potential hazards and timely repairs to prevent serious consequences.
(5) Industrial applications
In industrial safety, sensor network technology can be used in hazardous working environments. For example, sensor nodes can be deployed in coal mines, oil drilling rigs, nuclear power plants, and assembly lines to monitor the safety status of the working environment in real time, ensuring the safety of workers. Furthermore, sensor nodes can replace some workers in performing tasks in hazardous environments, not only reducing the level of danger but also improving the accuracy and speed of response to emergencies.
Due to its convenient deployment and flexible networking capabilities, WSN is gradually playing a role in warehouse logistics management and smart homes.
Wireless sensor networks enable sensors to form local Internet of Things (IoT), exchange and acquire information in real time, and ultimately converge into the IoT, forming an important information source and basic application for the IoT.
(6) Ensuring safe and smooth traffic in intelligent transportation
Intelligent Transportation Systems (ITS) are a new type of transportation system developed on the basis of traditional transportation systems. They integrate information, communication, control, and computer technologies, along with other modern communication technologies, into the transportation field, organically combining "people, vehicles, roads, and the environment." Adding wireless sensor network technology to existing transportation infrastructure can fundamentally alleviate problems related to safety, traffic flow, energy conservation, and environmental protection in modern transportation, while also improving traffic efficiency. Therefore, applying wireless sensor network technology to intelligent transportation systems has become a research hotspot in recent years. Intelligent transportation systems mainly include traffic information collection, traffic information transmission, traffic control, and guidance. Wireless sensor networks provide an effective means for information collection and transmission in intelligent transportation systems, used to monitor traffic flow, speed, and other information in all directions at roads and intersections. It mainly consists of subsystems for information collection input, strategy control, output execution, and data transmission and communication between subsystems. The information collection subsystem mainly collects vehicle and road information through sensors. Then, the strategy control subsystem calculates the optimal solution based on set goals and uses computational methods, while simultaneously outputting control signals to the execution subsystem to guide and control vehicle traffic, thereby achieving the preset goals. Wireless sensor networks can also be used in intelligent transportation for technologies such as traffic information dissemination, electronic toll collection, vehicle speed measurement, parking management, integrated information service platforms, intelligent public transportation and rail transit, traffic guidance systems, and integrated information platforms.
(7) Has great potential in the medical system
In recent years, wireless sensor networks have seen numerous applications in medical systems and healthcare, such as monitoring various physiological data, tracking and monitoring the activities of doctors and patients in hospitals, and managing hospital medications. By installing specialized sensor nodes, such as heart rate and blood pressure monitoring devices, on hospitalized patients, doctors can monitor their conditions at any time and respond quickly to any abnormalities. A study from the University of Rochester suggests that these computers can even be used for medical research. Scientists have created a "smart medical home"—a five-room apartment—using wireless sensors to test concepts and prototypes for human research projects. The "smart medical home" uses micro-dust to measure residents' vital characteristics (blood pressure, pulse, and respiration), sleeping posture, and 24-hour activity levels. The collected data will be used for future medical research. Embedding network sensors in devices such as shoes, furniture, and home appliances can assist the lives of the elderly, seriously ill patients, and people with disabilities. Sensor networks can efficiently transmit necessary information to facilitate care, reduce the burden on caregivers, and improve the quality of care. By using sensor networks to collect human physiological data over extended periods, the development of new drugs can be accelerated, and the miniature sensors installed on the monitored individuals will not significantly disrupt their daily lives. Furthermore, it has novel and unique applications in areas such as drug management.
(8) Promote smarter information appliances
The increasing popularity of wireless sensor networks has promoted the rapid development of information appliances and network technology. The main devices in home networks have expanded from single machines to multiple home appliances. Smart home network control nodes based on wireless sensor networks provide a basic platform for connecting internal and external networks as well as connecting information appliances and devices between internal networks.
Embedding sensor nodes in home appliances and connecting them to the internet via wireless networks will provide people with a more comfortable, convenient, and user-friendly smart home environment. Remote monitoring systems can be used to remotely control home appliances and monitor home security at any time via image sensing devices. Sensor networks can be used to establish smart kindergartens, monitor children's early education environment, and track children's activity patterns.
Sensor development trends
Industry experts generally believe that the heart of industrial automation is the next generation of advanced intelligent sensors. These sensors enable continuous operation of production lines, connecting to high-performance programmable logic controllers and human-machine interface systems via low-latency and real-time networks. Of course, for manufacturers, time is money. As long as the manufactured products meet specified quality levels, the production line will continue operating as quickly as possible, highlighting the importance of intelligent sensors.
Currently, intelligent sensors, as one of the most influential and promising high-tech advancements of the 21st century, are attracting significant attention from the domestic and international electronics and information industries. The Optoelectronics Industry Development Association predicts that the international market sales of intelligent sensors will grow at a high rate of 20% annually, and intelligent sensors will play an even more important role in the era of industrial automation.
The Internet of Things (IoT) technology is bringing changes to industrial automation. Currently, industrial production is indeed shifting towards automation on a large scale. However, with the continuous commercialization of IoT and cloud platform applications, the development of automation in the industrial sector is trending towards a higher level: intelligent manufacturing. So, what are the development trends of sensors in this process?
(1) Miniaturization. Due to the surge in information volume in the information age, the ability of sensors to capture and process massive amounts of information is increasingly demanding. Simultaneously, the ease of operation of sensor systems has become a priority, requiring sensors to have standard output modes. Traditional large-volume, low-functionality sensors often struggle to meet these requirements, and are therefore gradually being replaced by various types of high-performance miniature sensors. These miniature sensors, primarily composed of silicon, offer advantages such as small size, light weight, fast response, high sensitivity, and low cost. Currently, miniature sensors have profoundly impacted signal detection systems in numerous diverse application areas, including aerospace, long-range detection, medical, and industrial automation. The increasing miniaturization and power of sensors is attributed to the rapid development of computer technology, computer-aided design technology, integrated circuit technology, and microelectromechanical systems (MEMS) technology.
(2) Intelligence. Intelligent sensors refer to sensor systems equipped with microprocessors that can not only perform information processing and storage, but also engage in logical thinking and conclusion judgment. Intelligent sensors are another new type of sensor system involving multiple disciplines that emerged in the late 1980s. These sensor systems—immediately upon their introduction—received widespread attention from the scientific community, especially in detector applications such as distributed real-time detection, network detection, and multi-signal detection—and have had a significant impact. It is foreseeable that emerging intelligent sensors will play an increasingly important role in all aspects of human life.
(3) Multifunctionality. As mentioned earlier, a sensor can usually only detect one physical quantity. However, in many applications, it is often necessary to measure a large number of physical quantities simultaneously in order to perfectly and accurately reflect objective things and the environment. A multifunctional sensor composed of several sensitive elements is a new generation of detection system that is small in size and has multiple functions. It can achieve the functions of multiple sensors simultaneously with a single sensor system by means of different physical structures or chemical substances in the sensitive elements and their different characterization methods. With the rapid development of sensor technology and microcomputer technology, it is now possible to produce integrated multifunctional sensors that assemble several sensitive elements on the same material or a single chip.
(4) Wireless Networking. Wireless networks are familiar to us, such as mobile phones, wireless internet access, and televisions. Sensors are also familiar to us, such as temperature sensors. However, the concept of combining the two to propose wireless sensor networks is a relatively recent development. Sensor networks integrate sensor technology, embedded computing technology, modern network and wireless communication technology, and distributed information processing technology. They can collaboratively monitor, sense, and collect information about various environments or monitored objects in real time through various integrated miniature sensors. The information is processed through embedded systems and transmitted to user terminals via random self-organizing wireless communication networks using multi-hop relay. This truly realizes the concept of "ubiquitous computing."
