The past two years, as new technologies big data, cloud computing and other new rapid application development, enterprise information management concept is also undergoing profound changes, especially in large industrial data applications, not just a lot of data collection, but also include the manufacture and the stages involved, multiple dimensions of data and find mutual influence relationships between these data, to ensure the quality of the final product.
Needs and problems
vehicle body fabrication process is very complex, hundreds of procedures required by the hundreds of parts assembled into a complete body in white, which is a complex mass of dimensional accuracy, operation of the system. And it affects the dimensional accuracy of the vehicle body mounting vehicle components, wheel alignment, matching, a series of sealing function. According to statistics, 80% of vehicle quality problems are caused due to dimensional accuracy, so the size of the project is an important part of automotive quality work. To this end, process engineering in the manufacturing process is closely related to body size precision industrial applications need the data to the large size of the project, the dimensional accuracy of the bodywork.
overall plan
Platform based on the actual needs of enterprises, make full use of a large number of measuring points to monitor enterprise data accumulated, using pattern recognition algorithm based on time series to predict the body size of the quality of the sub-assembly manufacturing, abnormal fluctuations in the forecast to make timely warning, in order to be able to develop the production process and to take effective measures to restore the stability of production, data-driven quality, thereby shortening the feedback cycle, reduce production costs, improve production efficiency. The abnormality while the same measuring point of the waveform similarity generated based on the failure source, the same abnormality detection failure point source produces a similar waveform data forming a cluster, and suggested that appropriate action, engineers only typical cluster of alarm information for analysis and tracking processing, thereby substantially reduce the workload and improve work efficiency. 
Solutions
SaCa DataInsight product lines to fully collect data for each data generated in real-time acquisition of parts of the body assembly to detect, diagnose problems and implement monitoring alarms. In the main body mass analysis and detection applications include the following:
a build a complete data acquisition system, a variety of products including measurement data, process data in real time and on-site data collection
Second, a pretreatment system for quality evaluation based on the filtered data construction system, using the platform of visual components, produced and distributed a variety of reports to reflect the state of the quality of products and production processes status.
Third, the algorithm will be divided AWK pass rate and the size of the chain FMK pass rate algorithm into the platform, the passing rate can be calculated for each sub-assembly dimension chain and accurately, building size and quality of real-time analysis and processing issues alarm, the user can from different aspects to understand the quality status of the product, to find trends in product quality.
Advantages
l built a complete data acquisition system, the seamless body of various measurement devices,
l car models into three-dimensional system can be more visually monitor the amount of channel state point
l the predicted size of the state into the system intelligence you can take early measures of the measurement point may create problems of prevention,
l the size of the state intelligence analysis is introduced into the system, can aid engineers to quickly locate the problem 
program value
analysis test platform using the auto body mass, to achieve a full life cycle of large data management applications, more comprehensive and more efficient collection of production data; these data adequately fed back into the manufacturing process to more effectively improve the quality of manufactured products. The final manufacturing process the data efficiently back to the R & D department to help improve the quality of the entire development process.
Related Case
BMW Brilliance Automotive Body quality analysis testing platform
Related Products
SaCa DataInsight
a massive machine data for analysis of data management products. It provides data search, data alarm, visual report and forecast data analysis and other functions. Data can be collected from any source machine data and unified management, while providing real-time analysis capabilities of mass data. Our products are widely used in IT operations, security, compliance and business analysis.