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Dezhou Digete Electronics Technology Co., Ltd.
Contact phone: 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 leadership in decision-making, playing a unique role in the production process. This system has the following practical significance in several aspects: Convenient for management: Real-time welding data monitoring allows managers to directly view the working conditions of all welding machines in 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. They can stay in the office to obtain this information. 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. This 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 assessing the workload of welders and managing welding materials, playing a positive role in preventing welder idleness 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 manner, which can play a key role in standardizing welder operations, finding the causes of weld defects, and holding responsible parties accountable. Realize unified management. The welding machine can be disabled according to actual needs to prevent welders from using the welding machine privately. It can also play a certain role in preventing the theft of the welding machine. Help improve weld quality:
(1) Unify welding specifications. Welding specifications can be controlled, allowing welders to work only under the given specifications. This is helpful for ensuring welding quality in some welding operations with high requirements for current and voltage.
(2) Track quality problems. Through the recorded historical data, the 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 and current waveform displays 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. Based on the situation of welding material collection and consumption, managers can have a clear understanding, which helps control and save costs and prevent 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 in 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. Technical 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 is designed with a B/S architecture, and data can be queried and operated by logging in to the software through a browser within the reach of the network.
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