Analyze the prospect of factory enterprises needing digital intelligent chemical plant

                               Anyze the prospect of factory enterprises needing digital intelligent chemical plantal

      Wehua is committed to the global digital process. Open a new era of manufacturing intelligence

The mechanization in the 18th century, the large-scale production in the 19th century and the automatic production in the 20th century have gone through three changes in the industry in only three centuries; The fourth time, digital technology will be integrated into the production process. The industry expects that 20% of the factories will become "intelligent chemical plants" within five years.

Intelligent chemical plants can meet new social, economic and environmental challenges; It also creates more possibilities for consumption patterns and increases consumer participation.

Weihua technology applies digitalization to the whole production tool. Simulation, modeling, automation and virtualization have become the cornerstone of intelligent chemical plants. For example, AR technology makes maintenance and rapid diagnosis easier. In case of technical failure, technicians can scan the machine with a tablet computer and superimpose the scanned information on the actual image of the machine.

    Wehua technology application technology allows the production personnel to access the process information: he can see where the fault is, how the state of the relevant parts is, its technical characteristics, and access the instructions for use. For the company, this means that up to 50% of the time can be saved for diagnosis and improving the production efficiency of the equipment; For the operator, the intervention can be completed safely without touching the machine.

All technicians can conduct rapid and targeted collaborative maintenance of the historical records stored in the cloud of Fangxing Moai.

Weihua technology places sensors at key positions of machines and associates them with algorithms. Intelligent chemical plants will develop rapidly through predictive maintenance.

By monitoring the accurate parameters, the sensor can detect the fault warning events. First, send messages to the cloud for analysis and processing, and then send information to the electronic devices of technicians. Meanwhile, when connecting with other departments of the company, the system will plan maintenance intervention according to the availability of the team and spare parts. It is also connected to the production plan, and intervention is arranged at the appropriate time to minimize downtime.

Through this connection, the equipment can be better, faster and more "intelligent" production. Machines, computers and personnel can shorten manufacturing cycle and improve planning through continuous information sharing.