80% of global data will come from the Internet of Things, and both traditional and emerging industries will utilize more valuable data to drive business and achieve cost reduction and efficiency improvement. Smart education, asset tracking, environmental monitoring, industrial Internet of Things, smart cities, home connectivity, smart electricity, and smart agriculture. From smart meters to smart homes, from robots and tunnel drones, from cars to industrial gateways, over 50 billion devices worldwide will be interconnected, establishing out of the box cloud platforms and applications between devices and users, enabling data collection, real-time control, data visualization, zero code application development, open APIs, and building flexible and powerful IoT applications.

Data is as valuable as "oil" in today's information age, especially the data generated in the Internet, which contains a lot of data value. For industrial and manufacturing enterprises, fully utilizing IoT data collection technology to solve the problems of real-time data collection, transmission, processing, and real-time control can connect industrial equipment and communication networks to achieve real-time control of production and operation, thus combining production and operation with the enterprise's business strategy. This plays an important role in reducing production costs, improving production efficiency, optimizing process flow, and enhancing the overall strength of the enterprise.

The IoT gateway is the key to connecting IoT systems together. With the development of the Internet of Things and billions of connected devices entering the world, one of the most critical components of future IoT systems may be devices known as IoT gateways. The IoT gateway aggregates sensor data, converts between sensor protocols, processes sensor data before sending, and so on. Due to the large number of protocols, connection models, and energy configuration files, as well as the highly decentralized nature of IoT systems, gateways are needed to manage and control these complex environments. So, how to quickly upload IoT data to the cloud?

Each IoT device may use different protocols for connection, such as Wi Fi; Bluetooth; Serial port (e.g. RS-232); Ethernet; MQ telemetry transmission, or MQTT, etc. And each of them may be connected to different control environments and have different management and security models.

With the surge in connected devices, protocols, and demands, it is often impossible to individually connect components back to the system that requires their data. Some sensors and controllers use very low energy and do not support energy intensive protocols such as Wi Fi or Bluetooth, so they cannot be directly connected. Some edge devices generate so much data that overall, the data is overwhelming, and the raw form of the data is not as valuable.

Through this cloud platform, real-time access to the working status, various parameters, and related operation and maintenance data of all devices can be obtained. It supports mobile browsing, large screen display, and other functions, providing data basis for equipment manufacturers, facilitating after-sales service and product maintenance, and providing operation and maintenance management functions for related companies.

The ALM IoT cloud platform is a multifunctional product developed based on previous IoT products and the advantages of various cloud platforms currently available in the market. It is designed for devices, such as electrical equipment and asset management. The cloud platform provides one-stop SaaS services, including device access, operation monitoring, device asset management, and industrial data prediction and analysis.

The IoT gateway performs multiple key functions, such as device connectivity, protocol conversion, data filtering and processing, security, updates, management, etc. Newer IoT gateways can also serve as platforms for application code to process data and become intelligent components of systems supporting edge devices. The IoT gateway is located at the intersection of edge systems (connecting devices, controllers, and sensors) and the cloud.

ALM can provide an overall open SDK solution:

The SDK includes multiple modules such as device access, management, and parsing that are combined with each other, allowing users to only focus on the business layer after access without having to solve data conversion, security, and other issues.

The IoT parsing layer is an important component of the IoT architecture, responsible for functions such as data splitting, merging, rule parsing, and alerting. By parsing the data collected by IoT sensors, the parsing layer can process, integrate, and analyze the data, and provide warning or decision support based on preset rules or algorithms to improve the efficiency and reliability of IoT systems.

In response to various complex data collection requirements in industrial scenarios, IoT Bolian provides a complete data collection solution to efficiently collect and monitor various equipment status data, environmental data, energy consumption data, and other production management information. We are helping our clients achieve factory data-driven solutions, which were previously unattainable. Now they understand that data is their most important asset. Continuous improvement of production processes and bold prediction of innovation can be achieved through data analysis.

Shenzhen Lanao Sound Technology Co., Ltd

***High tech Enterprise Shenzhen Intellectual Property Advantage Enterprise Intelligent Perception IoT Solution Provider

Address: 3F, Building 18, Zhonghai Xin Innovation Industry City, Ganli 2nd Road, Longgang District, Shenzhen

http://www.alm-iot.com