Abstract: This paper utilizes the capabilities of embedded microprocessors and artificial intelligence technology to define and demonstrate the characteristics of embedded intelligent sensors, proving their feasibility. It also presents a general structural block diagram of an embedded intelligent sensor and the functions of its intelligent control module, providing significant guidance for the future development of sensors. I. Introduction Sensor technology is one of the most rapidly developing high-tech fields in the world today, and a significant indicator of contemporary scientific and technological progress. Along with communication and computer technologies, it constitutes one of the three pillars of the information industry. With the development of science and technology, the requirements for sensor performance are increasing, and the quantity is growing. Therefore, researching and integrating high-performance sensors is of great practical significance for promoting the development of related technologies. Currently, many smart sensors in the world are generally controlled by microcontrollers and control rules, lacking high intelligence and rarely incorporating artificial intelligence concepts. They are not true intelligence sensors. This paper utilizes the capabilities of embedded microprocessors and artificial intelligence technology to define and demonstrate the characteristics of embedded intelligent sensors, proving their feasibility. It also presents a general structural block diagram of an embedded intelligent sensor and the functions of its intelligent control module, providing significant guidance for the future development of sensors. II. Definition and Characteristics of Embedded Intelligent Sensors 1. Definition of Embedded Intelligent Sensors: Embedded intelligent sensors are novel sensors that integrate embedded microprocessors, intelligent theories (artificial intelligence, neural network technology, fuzzy logic), and sensor technology. 2. Performance Characteristics of Embedded Intelligent Sensors: An embedded intelligent sensor is a sensor with an embedded microprocessor. It combines embedded microprocessors, intelligent theories, and sensors, possessing functions such as detection, judgment, networking, communication, and information processing. Compared to traditional sensors, it has many advantages: It possesses thinking, judgment, and information processing functions, enabling correction and error compensation of measured values, thus improving measurement accuracy; it possesses knowledge, allowing for comprehensive processing of multiple sensor parameters; it can perform self-diagnosis and self-calibration as needed, improving data reliability; it provides convenient storage and retrieval of measurement data; it has a data communication interface, enabling direct communication with a microcomputer for remote control; it can transmit data over a network for global monitoring and control; it can achieve wireless transmission; and it mainly consists of an embedded microprocessor and software, resulting in low cost. III. Feasibility Study of Embedded Intelligent Sensors 1. Performance of Embedded Microprocessors Currently, embedded microprocessors and embedded software have reached a certain level of technology: (1) Hardware The current embedded microprocessors have the following functional characteristics: small size, low power consumption, low cost, high performance; can realize network control; support Thumb (16-bit) / ARM (32-bit) dual instruction sets; large capacity and low cost of FLASH memory, which can store a large number of intelligent programs and execute faster; flexible and simple addressing mode, high execution efficiency; fixed instruction length. Therefore, embedded intelligent sensors have the necessary hardware. (2) Software Currently, embedded software is matched with embedded microprocessors and has relatively complete functions. Although there is no general embedded system software, it does not affect the development of intelligent embedded electronic devices; it can also be developed using general languages ​​(such as VC++). 2. Intelligent Theory (Artificial Intelligence Technology, Neural Network Technology, Fuzzy Technology) Artificial intelligence technology, neural network technology, and fuzzy technology have been successfully applied in many aspects, and the commonly used theories are relatively complete. Therefore, it is entirely feasible to realize embedded intelligent sensors from the aspects of hardware, intelligent theory, and software. IV. General Structure of Embedded Intelligent Sensors A complete embedded intelligent sensor is equivalent to an embedded microprocessor + intelligent control module (artificial intelligence technology, neural network technology, fuzzy technology) + sensor system. The intelligent control module is an intelligent program that has a large amount of expert knowledge in related fields. It can simulate the thinking process of human experts in solving problems, and its problem-solving ability is no less than that of human experts. The system can perform effective reasoning and has a certain ability to acquire knowledge, but its overall function far exceeds the ability of human experts in some aspects. It has flexibility, transparency, interactivity, and a certain degree of complexity and difficulty. The intelligent control module is usually composed of four parts: knowledge base, inference engine, knowledge acquisition program, and comprehensive database, and is stored in the embedded microprocessor. 1. Functional Analysis of Intelligent Control Module (1) The knowledge base is used to store the expert knowledge, experience values ​​and basic parameters of the sensor required during the operation of the embedded intelligent sensor. The knowledge in the knowledge base is the basis for the inference engine to issue commands. (2) The comprehensive data module is used to store the raw data of the embedded intelligent sensor and various commonly used data and various parameters. (3) The inference engine, based on data from sensors and integrated data, uses knowledge from the knowledge base to think, judge, and reason, and then makes a judgment and modifies various parameters of the embedded intelligent sensor. 2. The interaction interface unit is used for external interaction with the embedded intelligent sensor system, including functions such as data modification, addition, deletion, and maintenance of consistency and integrity. 3. The multi-sensor system module consists of various types of ordinary sensors and is responsible for providing external information. 4. The output unit is used to output correct sensor information for user use. 5. The embedded microprocessor is responsible for data acquisition, processing, storage, management, and transmission.