Back around 2000, the underlying technical support of the Internet of Things was still "ZigBee". Although the terminal power consumption index of ZigBee was not huge at that time, "the complexity of the topology made engineering implementation difficult" and "the overall "Inefficiency" has become the main factor limiting its development.
LPWAN, a new generation of underlying communication technology of the Internet of Things, the emergence of LPWAN technology has solved the above problems, thus officially appearing in the public eye as a new generation of underlying communication technology of the Internet of Things. However, the key to determining whether a technology can be applied on a large scale is the input-output ratio of the technology, and whether it has an order of magnitude advantage compared to the previous generation.
In both aspects, LPWAN has obvious advantages. For example, in terms of low power consumption, LPWAN has reached the landmark milestone of "being able to work for several years while being powered by batteries while being able to connect to the Internet through wireless"; secondly, in terms of network scale, LPWAN pursues a ratio of 1000 times, or even 10000 times , covering a radius of 2 to 10 kilometers. This means that fewer base stations can support a large number of terminal devices.
Low-power Internet of Things (LPIOT) based on edge wireless cooperative sensing
Time goes back to 2023, and Lanaosheng Technology has launched a low-power Internet of Things (LPIOT) based on edge wireless cooperative perception, which is a core technology of Lanaosheng. --One of the key supporting technologies of Edge Collaborative Sensing (EICS) technology. This technology involves the field of wireless communication technology in the edge domain of the Internet of Things, specifically, it mainly involves wireless communication methods, service mechanisms and processes between network service nodes and low-power target devices (and their groups).
For different intelligent application scenarios, the Internet of Things edge domain with dynamic information interaction characteristics composed of IoT edge service nodes and several surrounding target devices (ie, network client devices) is mainly oriented to solve the target object domain and perception control domain. Wireless network communication and information interaction service mechanism and process issues.
The target devices targeted by the IoT edge domain network and its service nodes do not only include strong intelligent terminal devices like computers and smartphones that support standard wireless network access, have strong resource capabilities, and can install various application software. It also includes mobile or distributed target object devices (such as wearable devices, distributed sensors, peripheral execution devices, etc.) with lower cost, ultra-low power consumption, and relatively weak resource capabilities.
When a network service node needs to provide concurrent services to the target device as a client in a "one-to-many" or "many-to-many" manner, in addition to the interoperability issues of dynamic access to the network, it is also necessary to pursue hardware resources, power consumption and instantaneity. A balance between dynamic response efficiency, that is, one or more service node devices can simultaneously provide synchronous transient triggering and concurrent data transmission services for several target object devices or device groups in low-power standby states.
LPIOT technology for low-power group control and monitoring data collection
Bluetooth low energy can minimize interference from other radio technologies, so its transmission is very stable and reliable, maintaining stable transmission in "noisy" radio frequency environments. The use scenarios of low-power Bluetooth include anti-lost devices, electronic tags and other applications that have strict power consumption controls. Users who have requirements for data transmission and who expect Bluetooth transmission to be more reliable can choose low-power Bluetooth for more secure and reliable transmission. Bluetooth low energy can also facilitate the application of flexible electronic tags, such as tags applied to goods, asset theft prevention and biometric tracking.
Wireless low-power configuration technology refers to obtaining trigger responses and making intelligent decisions based on collaborative sensing of changes in target scene status. It is one of the key supporting technologies of the Edge Collaborative Sensing (EICS) technology, the core technology of Blue AoSound. This technology involves the field of wireless communication technology in the edge domain of the Internet of Things, specifically the wireless communication methods, service mechanisms and processes between network service nodes and low-power target devices (and their groups). For different intelligent application scenarios, the IoT edge domain with dynamic information interaction characteristics, composed of the IoT edge service node and several surrounding target object devices (i.e., network client devices), is mainly aimed at solving the target object domain and perception control domain. Wireless network communication and information interaction service mechanism and process issues.
1) The specific wireless mode is a low-power Bluetooth mode, wherein the wireless mode parameters include the associated parameters of the wireless Bluetooth device in the low-power standby state and the wireless transmission state, and the wireless master device passes the The adjustment of the wireless mode parameters includes wireless mode management including planning, reservation and switching for the wireless slave device.
2) The wireless master adjusts the beacon broadcast parameters of the wireless slave device in the status beacon mode by establishing synchronization matching or wireless connection, including beacon broadcast time interval, beacon broadcast duration and beacon broadcast modulation Parameter: When the wireless slave device is in the synchronization matching state, the wireless slave device adjusts its beacon broadcast phase time based on the device's own group sequence code and/or matching code, so that it is in the same synchronization matching state. The plurality of wireless slave devices maintain a certain beacon broadcast phase time difference.
One of the most important functions of the low-power online energy consumption monitoring system is the data collection function. Many people want to know how the data is processed after the system has collected the data. Does data collection provide a margin of safety? And how the energy consumption online monitoring system collects data, etc. In this article, the editor of Kangpai Intelligence will introduce to you how the collected data is processed?
The low-power energy consumption online monitoring system can achieve unified management and control of energy consumption data such as power supply, power supply system, gas pipeline, central air conditioning, etc. within the scope of monitoring. It can centrally manage relatively decentralized data and build a This system analysis platform can provide reasonable data for energy consumption supervision and analysis, thereby helping energy-using enterprises achieve energy conservation and efficiency, control costs, save personnel costs, and improve energy utilization rates and company benefits. Continuously provide improvement routes for equipment steps, and find energy consumption points for management for the company.
This article details the technical exploration and practice in low-power wide-area Internet of Things LPWAN. At present, LPWAN (LoRa) access network terminal solutions have been successfully applied in the fields of smart fire services, smart campus solutions, and digital factories. In the future, Blue Aosheng will continue to increase R&D and investment in the field of IoT and accelerate the implementation of IoT in more scenarios.