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Dezhou Digete Electronics Technology Co., Ltd.
Contact phone number: Manager Zhang 18315839778
1. System Overview The intelligent manufacturing production data monitoring system is widely used in welding-type factories. It can effectively monitor the working conditions of welders, help improve production quality, and assist leaders in decision-making, playing a unique role in the production process. The system has the following practical significance: Convenient for management: Real-time welding data monitoring allows managers to directly view the working conditions of all welding machines within the current network through a computer. This enables managers to understand whether each welding machine is working, the working current and voltage, etc., without having to conduct on-site inspections. Thus, various problems in the production process can be promptly discovered and solved, reducing the workload of managers. Performance appraisal management can record parameters such as voltage, current, wire feeding speed, and welding time during the welding process. It can also count the working time and welding time of each welding machine, making the workload of welders clear at a glance, which can urge welders and prevent idleness. Data statistics can count the working time, welding material consumption, etc., of a certain worker or a certain team based on the recorded welding data. It is convenient for the assessment of welders' workload and the management of welding materials, playing a positive role in preventing welders from being idle and the loss of welding materials. Historical data recording can display the given and actual values of the welding current and voltage of the welding machine in any period of time in a curve, which can play a key role in standardizing welders' operations, finding the causes of weld defects, and holding responsible parties accountable. Realize unified management: Welding machines can be disabled according to actual needs to prevent welders from using them privately, which can also play a certain role in preventing the theft of welding machines. Contribute to improving weld quality:
(1) Unify welding specifications: Welding specifications can be controlled, allowing welders to work only under the given specifications, which is helpful for grasping the welding quality in some welding operations with high requirements for current and voltage.
(2) Track quality problems: By recording historical data, welding quality problems can be tracked. According to the approximate time when the problem occurred, the corresponding historical voltage and current records can be retrieved, which is helpful for analyzing the causes of welding defects.
(3) Explore new processes: By comparing the recorded historical data and voltage - current waveform display with the actual weld quality, it can provide a basis and support for exploring new and better welding processes. Conducive to cost savings: The usage of welding wires can be counted, making the consumption of welding materials transparent. According to the situation of welding material requisition and consumption, managers can have a clear idea, which helps control and save costs and prevents the loss of welding materials.
2. The implementation plan uses the DA series intelligent data acquisition instrument to collect the welding current and welding voltage during the welding process in real time, or the CCM series communication terminal communicates with the welding machine to obtain information such as welding current and voltage. The data can be transmitted to the intelligent manufacturing production data monitoring system through wireless WIFI or wired Ethernet, and the system stores, statistics, and analyzes the data.
3. Technology Introduction The intelligent manufacturing production data monitoring system is a comprehensive information monitoring system developed based on the needs of intelligent manufacturing and information-based production. It includes upper computer software, data transmission network, data acquisition unit, environmental information acquisition unit, and data transmission bridging unit. The system can collect and record the operating parameters of production equipment and conduct multi-dimensional analysis of the data. The system software adopts a B/S architecture design, and users can log in to the software through a browser to query and operate the data within the reach of the network.
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