Device Data Collection Platform|SZN Data Collection Platform for Equipment - Equipment Data Acquisition - Data Standardization - Equipment Data Cloud Storage - Industrial Internet of Things Platform

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

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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.

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Industry project

The system is widely used in sewage monitoring, environmental protection projects, energy consumption collection and other industry projects

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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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