Basic information sensing capabilities such as acquisition of various information such as sound, light, heat, electricity, mechanics, chemistry, biology, location, etc., and processing of the data such as noise reduction, environmental compensation, filtering, transformation, etc., to convert it into usable information.
An open platform integrating network, computing, storage, and application core capabilities is adopted at the device edge layer to provide near-end services in the vicinity. It realizes faster data response and meets the service needs of real-time business, massive data, intelligent applications, security and privacy protection.
Refers to an embedded system-on-chip containing sensor modules, processor modules, wireless communication and self-diagnostic modules, and built-in artificial intelligence algorithms, with independent computing and machine learning capabilities, capable of sensing and recognizing complex scenes.
WSN consists of a large number of sensor nodes deployed in the monitoring area, a multi-hop self-organizing network formed by wireless communication, low-power, low-cost, distributed and self-organizing, the core sensors based on MEMS micro-sensing technology and wireless networking technology embedded sensors.
Basic information sensing capabilities such as acquisition of various information such as sound, light, heat, electricity, mechanics, chemistry, biology, location, etc., and processing of the data such as noise reduction, environmental compensation, filtering, transformation, etc., to convert it into usable information.
An open platform integrating network, computing, storage, and application core capabilities is adopted at the device edge layer to provide near-end services in the vicinity. It realizes faster data response and meets the service needs of real-time business, massive data, intelligent applications, security and privacy protection.
Refers to an embedded system-on-chip containing sensor modules, processor modules, wireless communication and self-diagnostic modules, and built-in artificial intelligence algorithms, with independent computing and machine learning capabilities, capable of sensing and recognizing complex scenes.
WSN consists of a large number of sensor nodes deployed in the monitoring area, a multi-hop self-organizing network formed by wireless communication, low-power, low-cost, distributed and self-organizing, the core sensors based on MEMS micro-sensing technology and wireless networking technology embedded sensors.
Advanced industrial intelligent sensing technology, has long been free from the "components, devices, widgets" concept, is no longer a single sensing components.
Integrate acousto-optic-electrical-thermal, mechanical, chemical, biological, location and other sensing capabilities to realize complex functions such as data acquisition, signal noise reduction and conversion, distributed storage, edge computing, and networking of multiple communication interfaces to output data.
Containing sensor module, processor module, communication module, and self-diagnostic module, it can realize the functions of processing sensor signals, mode conversion, data acquisition, calculation, storage, software expansion, self-organization network, marking and positioning, network timing, network security and self-diagnostic function.
Realize the interconnection of intelligent sensor nodes based on sensor network, with self-organizing network, dynamic topology control, node positioning, data fusion, wireless communication, network security and other functions.
