Generally speaking, at present, most factories have realized the automation ability, and the equipment obtains data through PLC, CNC and other instruments. So for this part of the equipment, if they want to realize networking, they can use the industrial gateway for access.
Take the Ruff intelligent gateway of the Internet of Things as an example. Ruff gateway is connected with workshop equipment PLC, which converts the data and sends it to the cloud. The main connection protocols involved are Modbus-RTU and other transmission protocols, and the automatic data acquisition methods include communication serial port, Ethernet, RS-485 and so on.
When the gateway is successfully connected, one end of the gateway collects the PLC data of the equipment. After the data is collected locally, the gateway will conduct preliminary data screening and processing, and then upload valuable data from another port to the cloud or the server designated by the customer, thus realizing the collection and transmission of equipment data.
At the same time, there will be another situation, that is, the equipment in the factory has no automation ability at all and belongs to physical machines. If networking is to be realized, it is necessary to collect data of various dimensions of the equipment with sensors, and then collect and transmit them through the gateway.
The second is the networking of equipment data to realize real-time monitoring of production process.
After the equipment data is collected and uploaded to the cloud or server through the industrial gateway, the next step is to analyze and process the equipment data.
Taking Equipment Treasure as an example, the collected data can obtain the factory production monitoring situation and equipment abnormal alarm information in real time, including real-time viewing the running status and output information of the production line, so as to realize real-time monitoring of the factory production situation. In addition, factory managers can also remotely check the production status through mobile phones to ensure that the real-time operation of the factory is monitored and managed.
In addition to obtaining production information, abnormal monitoring of equipment can also be realized through equipment networking. After networking, the standard parameter data of the equipment can be monitored through the Internet of Things technology, and the abnormal data beyond the standard range can be warned. Managers can obtain abnormal early warning notices through mobile phones to avoid production losses caused by unexpected failures.
At present, most factories choose the Internet of Things cloud platform to store and process equipment data. For example, Baidu Cloud's Tiangong Internet of Things platform for the field of Internet of Things is a one-stop and fully hosted Internet of Things cloud platform, which realizes the processing, calculation, storage and visual display and analysis of equipment data.
If customers have high requirements for the security of equipment data, they can also use privatization deployment to store and manage data.
Third, terminal equipment data display, to achieve digital factory management.
Device data is transmitted from PLC to gateway, and then from gateway to cloud. Finally, after processing and analysis in the cloud, it is displayed on terminal devices, such as mobile phones, PCs, LED screens and so on.
When the data is analyzed and processed by the cloud platform, we can usually get factory production statistics, production efficiency information, workshop or workshop data comparison and other factory production information.
Taking production statistics as an example, factory managers can obtain production efficiency statistics through the APP on the mobile phone, including real-time statistics such as operating rate, shutdown duration and shutdown times of equipment production lines, so as to judge the production efficiency level of the factory and the reasons that affect the production efficiency.
Secondly, the statistical information of factory output can be obtained, including real-time accurate statistics of production output, yield, each team and product specifications, so as to ensure the real-time delivery of production plan and the accuracy of workers' assessment.
At present, the display of terminal data is mainly in the form of mobile phones and PCs. In some factories' workshops and production lines, there are also large production kanban screens. Factory managers can view factory data in real time through mobile phones and current production data through on-site production kanban.