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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 leaders in decision-making, playing a unique role in the production process. This system has the following practical significance in several aspects: Convenient for management personnel: Real-time monitoring of welding data allows direct viewing of the working conditions of all welding machines within the current network through a computer. This enables management personnel 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 management personnel. Performance appraisal management can record parameters such as voltage, current, wire feeding speed, and welding time during the welding process. It can also calculate 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 calculate 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 welding material loss. 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, playing a key role in standardizing welder operations, finding the causes of weld defects, and holding responsible parties accountable. Achieving unified management: The welding machines can be set to be disabled according to actual needs to prevent welders from using the welding machines privately, which can also play a certain role in preventing the theft of welding machines. Contributing to improving weld quality:
(1) Unifying 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) Tracking quality problems: By using the recorded historical data, the welding quality problems that occur 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) Exploring new processes: By comparing the recorded historical data and voltage - current waveform displays with the actual weld quality, it can provide a basis and support for exploring new and better welding processes. Beneficial for cost savings: The usage of welding wires can be calculated, making the consumption of welding materials transparent. Based on the situation of welding material receipt and consumption, management personnel can have a clear idea, which is helpful for controlling and saving costs and preventing 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 uses the CCM series communication terminal to communicate 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 is designed with a B/S architecture, 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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