How to configure the industrial intelligent gateway of Siemens PLC?

With the development of industrial automation control equipment, there is an increasing demand for Siemens PLC data acquisition networking and remote monitoring, remote programming and debugging. As the core controller of various industrial equipment, PLC will be sold to various provinces and cities across the country. If you want to program and debug various remote PLCs, you often need to send people to the site for maintenance, which is costly and inefficient. PLC remote maintenance can effectively improve work efficiency and save food and accommodation costs.

Connect Siemens PLC to the IoT Broadlink Industrial Intelligent Gateway, confirm that the wiring between Siemens PLC and the gateway is correct, and then configure the collection parameters of the gateway locally or on the cloud platform. The following describes the local configuration operation.

1. Enter the WEB interface of the Industrial Intelligent Gateway of Wutong Bolin and edit the gateway information (mainly fill in the gateway serial number)

2. Configure the variable template table for collecting Siemens PLCS data, add device information (define the associated gateway, define the associated variable template for collecting Siemens PLC data, define communication parameters and collection cycle, etc.), and deploy device and variable information to the industrial intelligent gateway.

3. The gateway collects Siemens PLC data and sends it to the IoT cloud platform (i.e. reporting mode); the cloud platform processes the received data and inserts it into the database. The IoT cloud platform can also send instructions to the gateway, and transmit the data to the Siemens PLC through the gateway, thus achieving the functions of two-way communication and remote control.

Function Application

1. Remote real-time monitoring: The gateway has networking capabilities such as 5G/4G/WIFI/Ethernet, realizes diversified PLC protocol analysis and data acquisition and transmission, and performs edge computing to further reduce latency, making it easier for managers to understand various data about the equipment, such as equipment parameters and operating conditions.

2. Fault alarm notification: When abnormal data is collected, the management personnel will automatically receive alarm notifications via email, WeChat, SMS, etc., and can push the operation and maintenance work order to the engineer in time to facilitate tracking and maintenance and reduce downtime losses.

3. Remote equipment maintenance: By retrieving abnormal data from the equipment, the fault information can be accurately located. With the help of a gateway, a remote maintenance channel can be established. Engineers can complete remote programming and debugging of PLCs and remote uploading and downloading of programs without having to travel.

4. Visual data management: Through the cloud configuration platform, users can locate different equipment and different process flows at any time, realize dynamic management, provide visual chart display, and support data analysis, operation and maintenance and other work.