The advancement of low-power wireless technology has gained significant momentum in recent years, driven by the growth of home and building automation, asset tracking, industrial control systems, and a wide array of applications such as personal health, fitness monitoring, and smart wearables. At the core of this innovation is the seamless integration of low-power sensors with their data, enabling efficient and real-time information gathering. These sensors are now compact, powered by a single wireless microcontroller (MCU), and communicate wirelessly, often running for years on small coin-cell batteries. This makes it simple and cost-effective to add sensing nodes to any existing infrastructure, unlocking new possibilities for data collection, user interaction, automation, and intelligent decision-making.
For example, consider a smart thermostat in your home that gathers temperature readings and energy usage data. During peak hours, it can alert you through your smartphone that energy costs will rise in the next hour, suggesting you reduce AC usage. This kind of system demonstrates how sensor data can be used not only to monitor but also to guide actions, improving efficiency and user experience.
Two major trends define these applications:
First, **sensor data must be accessible anywhere and at any time**. Whether you're near the central hub or using a mobile device, the data from your sensors should always be available. It should be displayed, shared, or used in any connected environment, whether it's a local app, cloud platform, or third-party service.
Second, **sensors act as both data sources and control points**, requiring simplicity, affordability, and efficiency. Processing and analyzing sensor data typically involves a **collaborative effort between the local gateway and the cloud**. The cloud offers powerful computing resources, while the gateway handles real-time processing, balancing the workload between the two. For instance, a digital assistant might use both local and cloud-based engines to recognize speech or faces, combining sensor inputs with cloud intelligence for a more accurate response.
**Cloud computing and internet-connected gateways are essential components** in these systems. They manage multiple input sources, access databases, and integrate data from various sensors in a way that is both useful and always available. These gateways serve as the bridge between battery-powered sensors and end users, enabling new services and experiences.
Scalability is a key requirement—supporting numerous devices, diverse application types, and different service combinations. However, managing large-scale sensor networks presents challenges due to the complexity of deployment, the variety of cloud technologies, and the need for flexible application support.
A reliable gateway must support a wide range of nodes and communication interfaces, handle data exchange with the cloud, and balance local and cloud processing. For example, tasks like language recognition or image processing may require high computational power, which the cloud can provide, while the gateway manages real-time interactions.
To address these challenges, TI has developed an open, industry-standard platform for connecting Sub-1 GHz sensors to the cloud. This reference design accelerates the development of cloud-enabled applications, offering a scalable and interoperable solution.
Using TI’s Universal SimpleLink™ dual-band CC1350 SensorTag kit, sensors operate over long-range Sub-1 GHz networks and connect to a gateway based on TI’s Sitara™ AM335x processor. Communication between sensors and gateways follows the proven IEEE 802.15.4 "g" standard, supported by TI’s royalty-free 15.4-Stack SDK, which includes tools for managing sensor networks.
The gateway runs embedded Linux software, acting as a “Digital Center†for data aggregation and management. TI also developed a JavaScript-based IoT gateway module that connects to AWS IoT, allowing developers to build cloud-connected applications quickly.
This IoT gateway software includes features such as remote network monitoring, standardized data formats, and secure communication with cloud services. It uses JSON for data representation, follows the IPSO smart object specification, and leverages MQTT for publish/subscribe communication—a widely adopted protocol for IoT systems.
The modular design allows for easy extension, with APIs that support other cloud services and sensor types. Developers can rapidly expand their systems, integrating new sensors or connecting to additional platforms, all while reusing a flexible, open-source library.
By combining modular design, industry standards, and open access to software and hardware, TI aims to empower developers and drive innovation in the IoT space.
V.35 CONNECTORS
SPECIFICATIONS
Current Rating :7A
Insulation Resistance :≥1000 MΩ
Dielectric Withstanding Voatge :
1200VAC MIN 1Minute
Operating temperature : -55°C~ 105°C
Contact Resistance :≤35mΩ
Insulator Material :PBT & G/F UL 94V-0
Contact Material : Phosphor Bronze
Suitable:V.35VCT-F FEMALE TERMINAL
V.35 CONNECTORS
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