Intelligent sensor refers to a multi-component integrated circuit with functions such as information collection, information processing, information exchange, and information storage, and is a system-level product integrating sensors, communication chips, microprocessors, drivers, and software algorithms. With the rapid development of industrial Internet, industry 4.0 and intelligent manufacturing, industrial sensors are also accelerating into the era of "industrial sensor 4.0" or industrial intelligent sensors. China Exportsemi will take you to interpret the "Industrial Intelligent Sensor White Paper" produced by CCID Consulting. We will systematically understand the definition and development background of industrial intelligent sensors, the statistical analysis of global industrial intelligent sensors, the introduction of industrial intelligent sensor products, and the prospects and suggestions for the development of industrial intelligent sensors.
Definition and development background of industrial smart sensors
Industrial intelligent sensors are sensor systems with information detection, information processing, information memory, logical thinking and judgment functions. In addition to the measurement functions of conventional sensors, they also integrate advanced functions such as data processing, fault diagnosis, nonlinear processing, self-calibration, self-adjustment, and human-machine communication. The implementation of these functions relies on the close integration of the sensor with a microprocessor (or microcomputer), allowing the sensor system to intelligently adapt to the needs of the industrial environment.
The structure of industrial smart sensors is usually complex, but it can basically be summarized into a few core components that work together to achieve high-precision, high-reliability information acquisition and processing.
Figure: The structure of an industrial smart sensor
The structure of an industrial smart sensor
Half of the basic structure of industrial intelligent sensors consists of a sensing unit, a computing unit and an interface unit. The sensor element is the core part of a smart sensor and is responsible for converting various physical quantities (e.g., temperature, pressure, flow, velocity, etc.) into measurable electrical signals in an industrial environment. These electrical signals are then used for data processing and analysis. The signal processor is a key component in a smart sensor, which is responsible for processing and analyzing the raw signal collected by the sensor element. The processing process may include steps such as filtering, amplification, analog-to-digital conversion (A/D conversion), etc., to improve the quality and reliability of the signal. Microprocessors, on the other hand, are the "brains" of smart sensors and are responsible for performing complex computational and control tasks. It receives the digital signal output from the signal processor and processes and analyzes it according to preset algorithms and programs. The microprocessor is also responsible for self-calibration, self-compensation, fault diagnosis, and other functions of smart sensors.
Miniaturization, networking, digitization, low power consumption, high sensitivity and low cost are the common requirements for the development of smart sensor technology, and sensing materials, MEMS chips, drivers and application software are the core technologies of smart sensors. MEMS chips are important carriers of smart sensors, which have the characteristics of small size, light weight, low power consumption, high reliability, and can be integrated with microprocessors.
Background of the development of industrial smart sensors
With the rapid development of the Internet of Things, the development of industrial Internet has become a common choice for all countries to face the future. From structural sensors to solid sensors, and then to intelligent sensors, the continuous innovation of technology has greatly improved the accuracy, reliability, and anti-interference ability of sensors. Intelligent sensors integrate microprocessors and various sensors to realize functions such as information collection, processing and transmission, providing more powerful technical support for industrial production.
Focusing on the optimization of industrial on-site production processes, enterprise operation and product optimization, and resource optimization allocation and collaboration of social production, the industrial Internet has brought industrial enterprises the results of strengthening safety and reducing costs, optimizing products and services, optimizing supply chains, and creating new models and new values.
Figure: Three application scenarios
With the continuous development of artificial intelligence technology, intelligent sensors have preliminary data processing capabilities, which can process data at the same time as perception, which greatly improves the response speed and accuracy. In the future, with the further integration of artificial intelligence technology, industrial intelligent sensors will be more intelligent and autonomous, and can realize adaptive and self-learning functions.
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