I. Access assessment of the equipment to determine whether the equipment data can be collected

Generally speaking, at present, most factories have already realized the automation capacity, equipment through the PLC, CNC and other instrumentation for the acquisition of the data display, so for this part of the equipment, want to realize networking, you can use the industrial gateway to access.

Taking the Ruff IoT smart gateway as an example, the Ruff gateway connects with the PLC of the workshop equipment and sends the data to the cloud after protocol transformation and processing, which involves the main connection protocols including Modbus-RTU and other transmission protocols, while the automation data collection methods include communication serial port, Ethernet, RS-485 and so on.

When the gateway is smoothly connected, one end of the gateway carries out the collection of equipment PLC data, and after the collection to the local, the gateway will carry out the preliminary data screening and processing, and then upload the data by the value from the other end of the port to the cloud or the server specified by the customer, so as to realize the collection and transmission of equipment data.

At the same time, another situation will be encountered, that is, the factory's equipment has no automation ability, purely belongs to a physical machine, if you want to realize the network, it is necessary to use sensors to realize, with sensors to collect the equipment's various dimensions of the data, and then through the gateway for the collection and transmission.

Two, equipment data networking, real-time monitoring of the production process

When the equipment data collected through the industrial gateway uploaded to the cloud or server, the next step is to analyze the equipment data for processing.

Taking DevicePower as an example, the collected data can be immediately accessed for factory production monitoring and abnormal equipment alarm information, including real-time view of the production line's operating status and yield information, realizing real-time monitoring of factory production conditions. In addition, factory managers can also remotely view production conditions through their cell phones to ensure that the factory's real-time operating conditions are monitored and managed.

In addition to obtaining production information, abnormal monitoring of equipment can also be realized through equipment networking. After networking, through the Internet of Things technology means, the equipment of the standard parameters of the data can be monitored, more than the standard range of abnormal data will be early warning, managers through the cell phone to get abnormal warning notification, so as to avoid accidental failure to bring the production loss.

At present, most factories have chosen the IoT cloud platform to store and process equipment data, for example, Baidu cloud for the IoT field launched Tiangong IoT platform, is a one-stop fully managed IoT cloud platform, to achieve the processing of equipment data computation, storage, as well as visualization of the display and analysis, and so on.

If the customer has a high degree of security and confidentiality requirements for device data, it can also take a private deployment approach to data storage and management.

Three, the terminalization of equipment data display, the realization of factory management digitalization

Equipment data from the PLC to the gateway, and then from the gateway to the cloud, and finally after processing and analysis of the cloud, and then display the data to the terminal equipment, such as cell phones, PCs, LEDs, and so on.

When the data is analyzed and processed by the cloud platform, we can usually obtain factory production information such as production statistics, production efficiency information, as well as section or workshop data comparison.

Taking production statistics as an example, factory managers can obtain production efficiency statistics through the APP on the cell phone, including real-time statistics on the start-up rate, downtime, and number of downtimes of the equipment production line, so as to determine the level of factory production efficiency and the reasons affecting the production efficiency.

Secondly, you can get the statistical information of factory output, including production output, yield rate, and real-time accurate statistics of each team and product specification, to ensure the real-time delivery of the production plan and the accuracy of the workers' assessment.

At present, the terminal data display is mainly based on the two forms of cell phones and PCs, and in some factory workshops and production lines, there are also production Kanban screens, which allow factory managers to view all factory data in real time through cell phones, and also to view current production data through on-site production Kanban.