Smart Industry and IoT
From the perspective of development trend, the construction of smart factories still relies on industrial big data platforms, hardware and software products and systems.
In the context of the era of Industry 4.0, smart factory demand is strong, rapid growth, is the trend of future manufacturing development, is the cornerstone of intelligent manufacturing.
Topology diagram
Our core technology: The access management and operation and maintenance services of Internet of Things devices support self-discovery, self-integration and rapid access of Internet of Things devices, monitoring and management of connected Internet of Things devices, real-time communication and collection of business data, and provide basic data support for industry big data platforms.
A smart factory is a highly digitized and automated manufacturing facility that leverages advanced technologies to optimize production processes, enhance flexibility, and improve efficiency. The architecture of a smart factory typically consists of several interconnected layers that work together seamlessly. Below is an overview of these layers and their roles within a smart factory framework:
1. Physical Layer (Equipment and Devices)
Sensors and Actuators: Devices that collect data (sensors) and perform actions (actuators) based on that data.
Machinery and Equipment: Robots, automated guided vehicles (AGVs), and other machinery that can be controlled and monitored remotely.
Smart Devices: IoT-enabled devices that can communicate with each other and the central control systems.
2. Connectivity Layer
Networking: Includes wired and wireless networks that enable communication between devices, machines, and the central control system.
Protocols: Communication protocols such as MQTT, OPC-UA, and Modbus facilitate interoperability and data exchange.
3. Data Management Layer
Data Collection and Aggregation**: Systems that gather data from various sources and aggregate it for further processing.
Data Storage: Cloud-based or on-premise storage solutions that house collected data securely.
Data Processing: Tools and platforms that process raw data into meaningful insights and actionable information.
4. Application Layer
Manufacturing Execution Systems (MES): Software applications that manage and monitor work-in-progress on the factory floor.
Enterprise Resource Planning (ERP): Systems that integrate and manage all aspects of business operations.
- **Predictive Maintenance**: Applications that use historical data and machine learning to predict equipment failures.
- **Quality Control Systems**: Automated systems that monitor and maintain product quality standards.
5. Decision Support and Analytics Layer
Business Intelligence (BI) Tools: Dashboards and reporting tools that provide real-time visibility into factory operations.
Advanced Analytics: Tools that apply statistical models and algorithms to data to derive deeper insights and forecast trends.
- **Artificial Intelligence (AI)**: AI-powered systems that can make decisions and optimize processes autonomously.
6. Human-Machine Interaction Layer
User Interfaces: Customizable dashboards and mobile applications that allow operators and managers to interact with the system.
Collaborative Robots (Cobots)**: Robots designed to work alongside human workers, enhancing productivity and safety.
7. Security and Compliance Layer
Cybersecurity Measures**: Protocols and software that protect against cyber threats and breaches.
Compliance**: Ensuring adherence to industry standards and regulations related to data privacy, safety, and environmental impact.
8. Continuous Improvement and Adaptation Layer
Feedback Mechanisms: Systems that collect feedback from the factory floor and upper management.
Learning and Adaptation: Continuous improvement through iterative learning and adaptation based on operational data and feedback.
The integration of these layers enables a smart factory to operate efficiently, adapt quickly to changing conditions, and maintain high levels of quality and productivity. Each layer plays a crucial role in the overall architecture, and the interconnectivity among them ensures that the factory operates as a cohesive unit, capable of real-time decision-making and dynamic response to market demands.
Our Cases
what we finished
We are the one who is agency of Siemen in China. We hace a deep cooperation with Siemen and help them upgrade their industry. Siemens uses Industry X to drive digital transformation particularly in the manufacturing sector, where the company uses advanced automation and digitalisation solutions across its manufacturing processe.
Siemens unites production with operational processes alongside facility management with digital technologies to address factory needs, which gives real-time insights across processes and products.
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ADVANTAGES
Why choose us
In-house R&D team+ Advanced R&D facilities+Monthly production volume: 3.5Mpcs/m
ISO9001, ISO14001, ISO45001, IATF16949 certifications + Advanced manufacturing techniques+Various integration and applications are supported
Well-established supplier systems+Software update support with low cost
Locate in Guangdong-Hong Kong-Macao Greater Bay Area+Sea, land and air transport
T+3 on-time delivery+ 7*12 hours online+ Continuous improvement of PDCA
Network multi-circuit tester+Leakage tester+High temperature testers and so on.
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Get in touch or visit us
We invite customers to collaborate with us to create a better future together.
Whether you need a custom IoT module, design integration services or complete product development services, Joinet IoT device manufacturer will always draw on in-house expertise to meet customers' design concepts and specific performance requirements.
Contact with us
Contact person: Sylvia Sun
Tel: +86 199 2771 4732
WhatsApp：+86 199 2771 4732
Email：sylvia@joinetmodule.com
Factory Add:
Foshan City, Nanhai District, Guicheng Street, No. 31 East Jihua Road, Tian An Center, Block 6, Room 304, Foshan City, Runhong Jianji Building Materials Co.
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