Device Data Collection Platform
      IoT data center
      Demand Pain Point
      Many kinds of equipment
      There are many kinds of equipment, the new and old equipment is complicated, the communication protocol is not uniform, and the data collection is difficult
      Equipment communication difficulty
      Equipment multi-source heterogeneous, low network rate, different suppliers of equipment difficult to unified connection management
      The data is not standard
      Data sources are diverse, and the structure and format of different data sources differ greatly, and the standards are not uniform
      Data application difficulty
      There are information islands in data, lack of standard interface, difficult to share data, and insufficient open utilization

      Platform Introduction

      The SZN device data collection platform is connected to various industrial equipment (PLC, instruments, sensors, CNC machine tools, robots, etc.) to achieve data collection and bidirectional control of various industrial data on site; At the same time, the data will be stored on the platform after standardized processing to provide open data services and interfaces for various Industrial internet of things platforms, industrial Internet platforms and industrial software.

       Adopting a highly concurrent software framework, it can achieve configuration management of on-site gateways, devices, etc., remote data collection and control, and achieve data access, cleaning, filtering, processing, storage, and sharing.


      Platform Function
      Massive device access
      Powerful data collection capabilities, support massive device access, to achieve networking, data collection and protocol conversion of different devices
      Unified data standard
      Cloud centralized configuration management and rule calculation are adopted to achieve data standardization and facilitate the establishment of analytical models and business models.
      Unified management of equipment
      Centralized device management, device configuration, application deployment, and rules and policies are adopted in the cloud to achieve unified management of devices and data
      Data sharing center
      As a data center of the Internet of Things, it has data interfaces such as MQTT, Modbus, HTTP, OPCUA, etc., which facilitates data docking to different upper-layer application software to achieve data integration and sharing
      Platform Advantage
      Full compatibility
      Fully compatible with all devices and protocols
      High concurrency
      High concurrent access, supports massive device access
      Real-time response
      Real-time data response framework is adopted to realize fast real-time response
      Stable and reliable
      Using microservice design, with a variety of monitoring and care functions, stable and reliable operation
      High security
      Supports HTTPS and TLS data encryption, ensuring data security and reliability
      Widely used
      Configurability and high flexibility, widely used in various industries data acquisition system
      Application Cases
      Smart factory
      Smart factories realize real-time and visualization of production management, collaborative and intelligent equipment operation and maintenance, help industrial enterprises achieve digital operations, help enterprises reduce costs, improve product quality, production efficiency and resource utilization
      Online Chat
      Equipment manufacturer
      For distributed equipment manufacturers to achieve real-time monitoring of equipment operation, provide remote maintenance, fault prediction, performance optimization and other services, promote product design optimization, achieve service-oriented transformation of enterprises, greatly improve management efficiency, reduce operating costs, and improve service quality.
      Online Chat
      Industry project
      The system is widely used in sewage monitoring, environmental protection projects, energy consumption collection and other industry projects
      Online Chat
      Click to learn more
      Cooperation Method
      Public Cloud
      Small and medium-sized customers, low-cost and fast online
      Private Cloud
      Medium and large customers, private deployment, more independent data
      Customization
      Large-scale customers to meet the individual needs of customers
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