Taking advantage of the huge market opportunities of a quantity of 12th power equipment of 10, the Internet of Things (Internet of Things) is undoubtedly the opportunity and future of embedded applications.
The Internet of Things is an intelligent integrated network of people, machines, and objects. It emphasizes the identification, positioning, tracking, monitoring, and management of individual objects. The Internet of Things attaches importance to the three elements of sense, knowledge, and action. Through information collection, information elaboration, and information processing, it further accomplishes intelligent communication and control between people and things, and between things and things. The Internet of Things (IoT) firstly involves automatic identification technology, mainly based on radio frequency identification (RFID) technology. RFID has the characteristics of small size, many styles, long life, and high security. Its memory capacity is up to 128Kbit, and it can be used for non-contact electronic devices such as transmissive read/write, multi-label simultaneous reading and writing, and repeatable reading and writing. Tag identification function.
Liao Daying, chief executive of AWID, said that the current RFID application system architecture uses a single RFID reader to connect one or more antennas and reads and writes RFID tags within the electromagnetic wave coverage in a time-multiplexed manner. Due to the limited computing capacity of RFID readers, there is no data analysis and storage capability. The tag information that is read and written is served and processed by the backend server. In the Internet of Things environment, since the amount of data and services required to process will exponentially increase, the centralized back-end server will not be able to cope with the needs of instant tag reading, writing, and computation. Considering the overall system performance and stability, the Internet of Things should adopt an embedded RFID architecture for the purpose of special or special design, which is most feasible. The embedded RFID system can directly perform complex tag reading and writing, noise elimination, error correction, data temporary storage, etc., at the local end, and only transmit the required formatted information to the server through the network. Effectively reduce the burden on the Internet and servers, greatly improving the overall efficiency and stability of the Internet of Things.
Embedded RFID applications generally include an RFID reader/writer (module) in a product or system to increase RFID read/write capabilities of the product or system, such as ticketing induction cards at the MRT, library automation library, and Supermarket commodity inquiry machine. In the application of the Internet of Things, there will be many embedded RFID systems that integrate environmental parameters such as temperature, humidity, and pressure, such as smart car systems that automatically detect tire pressure and engine temperature. Embedding RFID tags in sensors can be used to monitor physical or environmental conditions (such as sound, vibration, movement, or contaminants, etc.) at different locations.
Liao Daying pointed out that the sensor network formed by embedded RFID sensors can be applied to smart meters, image surveillance, traffic monitoring, home care and factory automation. Embedded RFID functions in Global Positioning System (GPS) or other mobile devices (such as mobile phones) can identify, locate and track individual objects, and provide instant, on-site, and personalized services and applications. In the Internet of Things, innovative applications of embedded RFID have huge business opportunities and are full of infinite imagination.
In the RFID application system architecture, between the RFID reader and the upper application, the intermediate software defined by the EPCglobal ALE will be used to provide the upper application with the content data received by the reader and perform data calculation and data. Filtering, data aggregation, and other tasks to reduce the load on the back-end server. The current RFID intermediaries on the market are too bulky to be ported directly to embedded RFID products or systems. Embedded RFID developers must choose or develop their own lightweight, easy-to-transplant intermediaries as their system applications, depending on their product design goals and functional goals.
In addition to the versatility, low power consumption, and miniaturization requirements of the product, the challenges faced by embedded RFID developers come from the design and field application of RFID. Unlike general digital system design, RFID circuits require high signal noise processing and component quality. RFID antenna design and production is also one of the keys to the success or failure of embedded RFID products or systems. When RFID readers are used in the field, they may be interfered by other noise sources such as fluorescent lamps, wireless phones, and mobile phones, resulting in poor reading and writing. The communication between the RFID reader and the tag may also be affected by multiple paths in the environment and cannot be read or written properly.
Liao Daying believes that due to the cost of self-cultivation of RFID development teams, embedded system developers mostly choose to buy off-the-shelf RFID modules, or outsource the development of RFID functions in their products. When selecting an RFID partner, the product design of the industry-leading brand should be selected to ensure the reliability, cost-effectiveness, and power efficiency of the embedded RFID product. A good RFID partner must be able to provide a complete RFID development kit, including all the software/hardware kits needed to develop the prototype, and use development tools that are familiar to the embedded system, such as C or . Net. RFID vendors should provide off-the-shelf or customized antennas to suit different application needs. The provided RFID reader/writer function should support multiple industry standards and special agreements, be able to read and write all mainstream RFID tags, and be able to achieve the best read/write performance based on the characteristics of each tag.
The Internet of Things is an intelligent integrated network of people, machines, and objects. It emphasizes the identification, positioning, tracking, monitoring, and management of individual objects. The Internet of Things attaches importance to the three elements of sense, knowledge, and action. Through information collection, information elaboration, and information processing, it further accomplishes intelligent communication and control between people and things, and between things and things. The Internet of Things (IoT) firstly involves automatic identification technology, mainly based on radio frequency identification (RFID) technology. RFID has the characteristics of small size, many styles, long life, and high security. Its memory capacity is up to 128Kbit, and it can be used for non-contact electronic devices such as transmissive read/write, multi-label simultaneous reading and writing, and repeatable reading and writing. Tag identification function.
Liao Daying, chief executive of AWID, said that the current RFID application system architecture uses a single RFID reader to connect one or more antennas and reads and writes RFID tags within the electromagnetic wave coverage in a time-multiplexed manner. Due to the limited computing capacity of RFID readers, there is no data analysis and storage capability. The tag information that is read and written is served and processed by the backend server. In the Internet of Things environment, since the amount of data and services required to process will exponentially increase, the centralized back-end server will not be able to cope with the needs of instant tag reading, writing, and computation. Considering the overall system performance and stability, the Internet of Things should adopt an embedded RFID architecture for the purpose of special or special design, which is most feasible. The embedded RFID system can directly perform complex tag reading and writing, noise elimination, error correction, data temporary storage, etc., at the local end, and only transmit the required formatted information to the server through the network. Effectively reduce the burden on the Internet and servers, greatly improving the overall efficiency and stability of the Internet of Things.
Embedded RFID applications generally include an RFID reader/writer (module) in a product or system to increase RFID read/write capabilities of the product or system, such as ticketing induction cards at the MRT, library automation library, and Supermarket commodity inquiry machine. In the application of the Internet of Things, there will be many embedded RFID systems that integrate environmental parameters such as temperature, humidity, and pressure, such as smart car systems that automatically detect tire pressure and engine temperature. Embedding RFID tags in sensors can be used to monitor physical or environmental conditions (such as sound, vibration, movement, or contaminants, etc.) at different locations.
Liao Daying pointed out that the sensor network formed by embedded RFID sensors can be applied to smart meters, image surveillance, traffic monitoring, home care and factory automation. Embedded RFID functions in Global Positioning System (GPS) or other mobile devices (such as mobile phones) can identify, locate and track individual objects, and provide instant, on-site, and personalized services and applications. In the Internet of Things, innovative applications of embedded RFID have huge business opportunities and are full of infinite imagination.
In the RFID application system architecture, between the RFID reader and the upper application, the intermediate software defined by the EPCglobal ALE will be used to provide the upper application with the content data received by the reader and perform data calculation and data. Filtering, data aggregation, and other tasks to reduce the load on the back-end server. The current RFID intermediaries on the market are too bulky to be ported directly to embedded RFID products or systems. Embedded RFID developers must choose or develop their own lightweight, easy-to-transplant intermediaries as their system applications, depending on their product design goals and functional goals.
In addition to the versatility, low power consumption, and miniaturization requirements of the product, the challenges faced by embedded RFID developers come from the design and field application of RFID. Unlike general digital system design, RFID circuits require high signal noise processing and component quality. RFID antenna design and production is also one of the keys to the success or failure of embedded RFID products or systems. When RFID readers are used in the field, they may be interfered by other noise sources such as fluorescent lamps, wireless phones, and mobile phones, resulting in poor reading and writing. The communication between the RFID reader and the tag may also be affected by multiple paths in the environment and cannot be read or written properly.
Liao Daying believes that due to the cost of self-cultivation of RFID development teams, embedded system developers mostly choose to buy off-the-shelf RFID modules, or outsource the development of RFID functions in their products. When selecting an RFID partner, the product design of the industry-leading brand should be selected to ensure the reliability, cost-effectiveness, and power efficiency of the embedded RFID product. A good RFID partner must be able to provide a complete RFID development kit, including all the software/hardware kits needed to develop the prototype, and use development tools that are familiar to the embedded system, such as C or . Net. RFID vendors should provide off-the-shelf or customized antennas to suit different application needs. The provided RFID reader/writer function should support multiple industry standards and special agreements, be able to read and write all mainstream RFID tags, and be able to achieve the best read/write performance based on the characteristics of each tag.
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