Airiot IOT platform enables the container industry to build [welding station information monitoring system]

The container industry is a labor-intensive industry , In the manufacturing process 、 Welding work 、 All links of finished product output , It consumes considerable labor costs . Because the level of labor force is not easy to evaluate , It is difficult to realize that every small step is carried out according to the standard , As a result, it is difficult to control the quality of finished containers .

One of the important factors affecting the quality of containers , Whether the welding process is standard . The container is a fully welded structure , There are mainly door panels 、 End plate 、 Two side panels 、 The top plate and underframe are composed of six parts . The workshop starts from cutting materials 、 Take shape 、 assemble 、 Welding and then processing spray paint production line , Interlocking , Be short of one cannot . Welding accounts for most of the workload , The process flow is bottom welding , Top welding , Side welding , Front welding , Rear welding , test , General assembly , Total welding . Manual assembly can be carried out after welding 、 Automatic sanding 、 Paint after pickling and derusting 、 Manually lay wood 、 Locking rod , Finally, take out the box .

With the development of industrial automation , The purchase of automatic welding equipment by enterprises has replaced most of the manual labor , Improved productivity . But in terms of ensuring the quality of welding process , Limited improvement .

The welding process mainly includes side plate welding 、 The bottom plate is welded with the side plate 、 Bottom plate welding and other processes . In these actual welding processes , Often accompanied by unexpected interference factors , For example, the arc is unstable , Resulting in poor weld formation , Too much splash 、 The high temperature 、 The instability of welding current and arc voltage leads to a series of problems such as uncontrollable penetration . The change and error of any link will affect the welding quality of the container , And affect production efficiency .

At present, most enterprises are using automatic welding equipment , The status of each welding station in the welding process , Can't do real-time monitoring , Current generated during welding 、 voltage 、 Time and other data cannot be accurately controlled , Therefore, the quality of welding process cannot be controlled , At the same time, the cost calculation is also very difficult . How can enterprises effectively control automatic welding equipment , It is a difficult problem that needs to be overcome .

Breaking pain point ,AIRIOT The welding station information monitoring system based on the low code platform of the Internet of things , It can unlock the above pain points faced by the container industry . The system effectively supervises all welding stations , Through data acquisition and control engine function , Realize the right time 、 electric current 、 voltage 、 Daily output and other data monitoring , Effectively improve the process quality in the welding process , And the abnormal conditions of each link of the welding station are monitored in real time .

Realize the fusion of the arc starting section of the weld 、 The arc should be completely fused , Control heat input 、 Reduce splash 、 Penetration size 、 High quality welding process requirements such as clothes dry length , Accurately control welding parameters 、 Welding speed and other data are factors to achieve standard welding .

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meanwhile , Combined with the more personalized service needs of the container industry ,AIRIOT The low code platform of the Internet of things provides customized solutions , Take the welding standard management system as the logic , Standardize the process management process , The process can be monitored 、 Data can be collected 、 Quality is traceable , Improve production efficiency , Reduce manufacturing costs .

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By using AIRIOT platform , Make rules 、 Efficient welding information management mechanism , Realize standardized production through data supervision , Effectively promote the process of enterprise digital transformation .