Workshop-level wireless industrial IoT solutions

1 Industry competition and challenges

Hilti is a one-stop construction services provider to the world. We are committed to developing and providing the most cutting-edge technologies, software and services to the construction industry, providing customers with software design, construction products and tools, training, maintenance, testing and consulting services to fully meet customer needs.

As the business and company scale develop and expand, some problems gradually emerge:

? Long processing cycle ? Serious waste of man-hours    

? Paper-based processes are cumbersome ? Product quality varies    

? Low equipment reliability ? Long data entry time    

Enterprises have increasingly higher requirements for solving the above problems and for production capacity and efficiency. It is imperative to upgrade and innovate the production model and management model. Current production and management work need to be improved through a variety of systematic methods and tools to achieve a higher level of industrial manufacturing capabilities. Hilti compared and analyzed several major suppliers of smart manufacturing solutions on the market, and finally decided to use Lingxi, a workshop-level wireless industrial IoT solution, to solve the company's problems and achieve low cost, high efficiency, and quality. Excellent goals.

2 Main goals and general overview of the solution

Workshop-level wireless industrial IoT solutions It is an innovative application in the field of industrial IoT. As an important area of IoT application, industrial workshops are deeply integrated with IoT technology and industrial processes, which can greatly improve production efficiency, improve product quality, reduce product costs and energy consumption, and upgrade traditional industries. to a new stage of smart industry.

This solution is mainly a workshop IoT factory system-level solution for advanced manufacturing to realize intelligent control, automated operation, information command and lean management of the production process. This project digitally integrates and interconnects the major elements of man, machine, material, method, environment, and measurement (5M1E) in the production process to achieve human-machine interconnection, intelligent scheduling, management monitoring, and overall equipment efficiency optimization. It is an integrated production and manufacturing management and control platform based on production management ideas such as Lean Six Sigma, continuous improvement, and overall equipment effectiveness, and using wireless sensor networks, the Internet of Things, manufacturing execution systems, and network security as technical means.

The primary goal of this workshop-level edge computing wireless industrial IoT platform is: based on optimizing and enhancing the LoRaWan wireless communication network, optimize more application logic, functional modules, and maintenance and diagnostic functions suitable for terminal equipment processing into the terminal equipment, so as to Improve user perception and real-time response experience, provide more real-time processing efficiency, and reduce the load on the cloud .

The second goal is to platformize and standardize the application functions and interfaces of the long-term accumulation of workshop industrial Internet of Things management systems to meet the requirements of more openness, more flexible systems, more robust security and stability, scalable service performance and easier orchestration. operate. Through multiple actual cases, we will establish a model point in the industry, gain industry recognition, realize the incubation of this new platform solution from 0 to 1, and lay the foundation for subsequent large-scale replication.

3 System architecture of the solution

The system architecture of the solution is as follows (including three aspects):

( 1) LPWAN ECN terminals, gateways, etc. and network access equipment: Provide a closed loop for optimization of machine equipment, personnel operations, and environmental operations. The core is based on real-time perception and edge computing of machine operation data and production link data to realize the dynamics of machine equipment. Optimize adjustments and build intelligent machines and flexible production lines

( 2) Edge applications and edge management of workshop-level industrial IoT systems: Provide a closed loop for production operation optimization. The core is based on the integrated processing and big data modeling analysis of information system data, manufacturing execution system data, and control system data to achieve production Dynamic optimization and adjustment of operation management to form intelligent production models in various scenarios;

( 3) Cloud PaaS/SaaS platform edge storage and edge interface: Provide a closed loop for enterprise collaboration, user interaction, and product service optimization. The core is based on comprehensive integration and analysis of supply chain data, user demand data, and product service data to realize enterprise Innovations in resource organization and business activities have formed new models such as networked collaboration, personalized customization, and service-oriented extension.

4 Actual results

( 1) Efficiency improvement: Promote personnel in various functional departments to improve their ability to identify and solve problems;

( 2) Real-time supervision: Information is transmitted in real time and through multiple channels, allowing relevant subscribers to understand the production status in real time;

( 3) Tracking storage: stores complete information about the event processing process, such as occurrence time, release time, problem processing, personnel information and response time, etc.;

( 4) Quality improvement: Through real-time quality monitoring of each production link, the defective rate of products can be effectively reduced; the key points of quality problems can also be found out, and the processing technology can be adjusted in a timely manner to improve product quality;

( 5) Reduce costs: Through data analysis and early warning, real-time processing of abnormal conditions at the production site can be realized, and timely correction and adjustment can be achieved, thereby shortening the production cycle and maximizing equipment utilization;

( 6) Open interface: Provides WEB API interface and various independently developed underlying logic control software and databases for IoT intelligent hardware.

For more details, http://qinla.com.cn/Smart-system-solutions.pdf