Visual bit”AI+3D vision”core product|Multiocular vision high-precision measuring machine
With the rapid development of high-end equipment manufacturing industries such as new energy vehicles,aerospace,shipbuilding and so on,the quality standards for large-sized workpieces are becoming increasingly strict.Taking the detection of the battery tray,a key component of the new energy vehicle,as an example,the battery tray plays a key role in protecting the battery module and cell.The process accuracy directly affects the reliability and safety of the power battery.Moreover,due to the complexity of its production process and the difficulty of process control,the main engine factory of the vehicle has put forward a new requirement of high-precision online full inspection for the mass production of the battery tray.
Pain point analysis of battery tray inspection for new energy vehicles
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Traditional detection methods are difficult to meet the requirements of online full inspection
The volume of the battery tray is usually greater than 1.8m x 1.5m x 0.3m,and the structure is diverse.Thousands of measuring points are distributed in different areas such as the frame,beam,bottom plate,module installation position,and so on.It is necessary to carry out all-round coverage measurement.The traditional mechanical inspection method is time-consuming and inefficient,so it can only realize offline measurement,and cannot meet the inspection requirements of the factory’s rapid mass production.
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Traditional mechanical inspection method
►High measurement difficulty coefficient
The measurement features include dozens of types,such as rivet holes,threaded holes,stud holes,water nozzle holes,thin-walled holes,stamping parts,chamfer holes,etc.The measurement difficulty coefficient is high,and the battery tray structure is complex and diverse,and there are many self-shielding and high-reflective surfaces,which brings new challenges to visual imaging and feature detection.
►High measurement accuracy requirements
The battery tray is a safety structural part of the automobile,with complex structure.The main engine factory of the automobile has very high requirements for its manufacturing accuracy.The measurement process shall be controlled from multiple dimensions such as surface profile,flatness,hole position and linear position to ensure the assembly dimension requirements of the battery module,and the measurement accuracy shall reach the wire level.
High-precision measurement special machine with multi-vision
In the face of the challenges and urgent needs of online full inspection of large-sized parts in high-end equipment manufacturing industry such as new energy vehicle battery tray,SIBIT has developed a high-accuracy measurement machine based on”AI+3D vision”,which is internationally leading and the only domestic multi-vision.Relying on the industry-leading 3D vision technology and industrial-level system software capabilities,combined with the self-developed high-precision feature detection algorithm and 3D vision measurement technology,this product uses multiple cameras to take photos,parallel computation,and joint measurement of the workpiece to be measured at the same time,providing customers with accurate,efficient,flexible,and intelligent high-precision online detection solutions,and safeguarding the quality control of large-sized workpiece in the manufacturing industry.
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Product advantages
►The performance of many indicators exceeds the international top products
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►Realize 100%online measurement of full size
Support the high-precision measurement of thousands of detection points,and realize the double-100%accurate detection of all features of all products.
►Support flexible online measurement
The auto-camera layout algorithm for high-precision measurement is independently developed,which can realize compatibility and coverage for multiple workpiece models,and quickly provide customers with flexible customized detection schemes.
►SPC online statistical analysis
Through the online measurement and monitoring of the workpiece and the interaction of upstream process information,the in-depth analysis and evaluation model is built based on the big data mining and reinforcement learning technology to form an efficient self-feedback closed-loop control of the input variables of each link of the production process,and to realize the fine production quality diagnosis and process optimization.At the same time,it can provide early warning prevention for production control,reduce the occurrence of defective products,and help customers reduce costs and increase efficiency.
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Product application
This product has been applied to the detection of battery trays of new energy vehicles in many leading automobile enterprises in batches.Compared with the traditional detection method,the detection speed has been improved by dozens of times while liberating the labor force,which perfectly matches the production rhythm requirements of automatic production lines.In addition,by virtue of high-precision and high-precision measurement,this product can timely detect and deal with problems such as out-of-tolerance,wrong or missing parts,saving tens of millions of inspection and repair costs for the factory every year,and eliminating the loss and safety hazard caused by the poor processing of the product flowing to the market.
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The application of high-accuracy measurement special plane with multi-vision in batch
