The hottest three steps to realize the digitalizat

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Three steps to realize the digitalization of factory equipment

Abstract: the first step to promote intelligent manufacturing in the factory is to set up special global business departments for these industry markets and provide the digitalization of factory equipment in a variety of polymer product combinations. Let the equipment data in the factory be collected and transmitted, open up the communication bridge between equipment, process and people, realize networking, allow dialogue between systems, and then connect all processes and links in the factory, so as to realize the intellectualization of the factory

recently, the Ministry of industry and information technology announced the list of intelligent manufacturing pilot demonstration projects in 2017, and projects of Zoomlion, ZTE, Baosteel, Guodian Nanzi, Tongding Internet and other listed companies were selected

to promote intelligence in the factory, we will focus on the relevant research in the field of energetic materials. The first step for energy manufacturing is the digitization of factory equipment. Let the equipment data in the factory be collected and transmitted, open up the communication bridge between equipment, process and people, realize networking, allow dialogue between systems, and then connect all processes and links in the factory, so as to realize the intellectualization of the factory

then, what steps and links do we need to go through to realize the digitalization of critical plant equipment

first, evaluate the access of the equipment to determine whether the equipment data can be collected

generally speaking, most factories have realized the automation ability at present, and the equipment displays and obtains the data through instruments such as PLC and CNC. Therefore, for this part of the equipment, if you want to realize the connection, you can use the industrial customs to access

take ruff IOT intelligent customs as an example. Ruff customs connects with the workshop equipment PLC, and sends the data to the cloud after protocol conversion and processing. The main connection protocols involved include Modbus RTU and other transmission protocols, while the automatic data collection methods include communication serial port, Ethernet, RS-485 and so on

after the customs is successfully connected, the customs will collect the PLC data of the equipment at one end. After the data is collected locally, the customs will conduct preliminary data screening and processing, and upload the valuable data from another port to the cloud or the server designated by the customer, so as to realize the collection and transmission of equipment data

at the same time, there will also be another situation, that is, the equipment of the factory has no automation ability at all, and it is purely a physical machine. If you want to realize the connection, you need to use sensors to collect the dimensional data of the equipment, and then collect and transmit it through customs

second, the equipment data link realizes the real-time monitoring of the production process.

after the equipment data is collected and uploaded to the cloud or server through the industrial customs, the next step is to analyze and process this batch of equipment data

taking equipment treasure as an example, the collected data can immediately obtain the factory production monitoring and equipment abnormal alarm information, including real-time viewing of the operation status and output information of the production line, so as to realize the real-time monitoring of the factory production status. In addition, factory managers can also view the production status remotely through the end 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 achieved through equipment connection. After the connection, through the IOT technical means, the standard parameter data of the equipment can be monitored, and the abnormal data beyond the standard range will be warned. The manager will obtain the abnormal warning notice through the terminal, so as to avoid the production loss caused by unexpected faults

at present, most factories choose IOT cloud platform to store and process equipment data. For example, the Tiangong IOT platform launched by Baidu cloud for the IOT field is a one-stop fully managed IOT cloud platform, which realizes the processing, calculation, storage, visual display and analysis of equipment data

if customers have high security and confidentiality requirements for device data, they can also adopt the way of privatization deployment to store and manage data

third, terminal device data display, realize the digitalization of factory management

device data from PLC to off, then from off to cloud, and finally after processing and analysis, the cloud displays the data to terminal devices, such as terminal, PC, LED large screen, etc

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

taking production statistics as an example, factory managers can obtain production efficiency statistics through the terminal app, including real-time statistics of equipment production line startup rate, downtime duration, downtime and so on, so as to judge the level of factory production efficiency and the reasons affecting production efficiency

secondly, you can obtain the statistical information of factory output, including the production output, good product rate, and the real-time and accurate statistics of each team and product specification, so as to ensure the real-time delivery of production plan and the accuracy of worker assessment

at present, the terminal data display time is 1-2 seconds, mainly in the form of terminal and PC terminal. In some factory workshops and production lines, there will also be production Kanban large screens, which are especially suitable for Brinell hardness testing of large metal parts. Factory managers can view all factory data in real time through the terminal, and can also view the current production data through the on-site production Kanban

whether enterprises launch MES or realize intellectualization, the first problem they face is the upgrading or digital transformation of traditional equipment. Only by collecting and acquiring the data of equipment and production process in the factory, can we realize the information management and digital operation of the factory

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