Industry characteristics determine detection accuracy. In the precision testing process of manufacturing, the efficiency and accuracy of quality control often depend on the industry adaptability of the testing scheme. The production characteristics of different industries often bring vastly different challenges to measurement work. For example, in the aerospace field, the high precision requirements for components are almost stringent, and any small measurement deviation may lead to serious consequences; In the large-scale assembly line production of the automotive parts industry, it is required that the measurement should respond quickly and not miss subtle errors, etc. If only a universal detection configuration is used, it may result in resource waste or risk missed detection.

However, many companies currently use a one size fits all solution for three coordinate measurement - the frequency of online testing does not match the production pace, either slowing down the production progress due to excessive testing, or causing defective products to flow out due to long testing intervals; The sample size for three-dimensional sampling is set based on experience. If the sample size is too small, it is difficult to reflect the overall product quality. If the sample size is too large, it will increase the testing cost and time; The application of universal standards for SPC (Statistical Process Control) control parameters cannot accurately adapt to the characteristics of industry production processes. These pain points not only affect product quality stability, but also constrain the improvement of enterprise production efficiency.

The essence lies in the fact that the detection system has not been deeply integrated with the production characteristics, quality risk distribution, and process stability of the industry. For example, aerospace focuses on full-size traceability and risk prevention, requiring three-dimensional detection to have high traceability and complex feature analysis capabilities; The automotive parts industry emphasizes online control and sampling verification, requiring high-frequency rapid detection and SPC real-time warning.

Configuration scheme of dual engine system for three coordinate detection

1、 What is a dual engine system?

The dual engine system is an intelligent control module at the software and algorithm levels, which drives the customization of measurement solutions in the industry. It is a collaborative solution that integrates the logic of "online rapid detection" and "offline precision analysis". Equivalent to the brain and scheduling center of the measurement plan, it does not directly participate in data collection. The key lies not in hardware upgrades, but in analyzing industry characteristics and designing targeted detection parameters and workflows.

2、 How to achieve industry customization of three coordinate detection strategy with dual engine configuration?

In response to the measurement pain points of different industries, the dual engine system of the coordinate measuring machine is equipped with a "dynamic detection optimization engine" and an "intelligent parameter adaptation engine" to work together. It deeply fits the production characteristics of the industry from three key dimensions: online detection frequency, sample size of coordinate sampling, and SPC control parameters

1. Online detection frequency: dynamically adjusted according to production pace and risk level

For example, in the automotive connecting rod production line, key positioning features are measured online every 15 minutes using a non-contact laser scanning head, replacing traditional manual sampling and achieving 100% online monitoring. At the same time, the detection time is shortened from the original sampling mode of 3 minutes per piece to 20 seconds per piece.

2. Three coordinate sampling sample size: scientifically set based on statistical efficacy

In response to the characteristics of small and medium-sized production in aerospace, the system will adjust the sample size of the three coordinate sampling to "20 pieces per batch for full-size testing" based on the material characteristics of the components and the complexity of the processing technology, and adopt the "stratified sampling method" to ensure that the samples can fully reflect the quality of the batch products. Compared with the traditional sampling method of "10 pieces per batch", the defect detection rate has increased by 45%;

3. SPC control parameters: Adjust warning threshold for fitting process capability

For example, in precision bearing manufacturing, the SPC control limit is tightened from the conventional 3 σ to 2 σ, and a pre control line mechanism is set for key features such as roundness and concentricity. Once the trend is abnormal, a three coordinate re inspection is triggered to avoid waiting for out of tolerance before remedying.

The dual engine system solution for three coordinate detection can accurately solve measurement pain points in different industries, bringing practical quality and efficiency value to enterprises.

3、 Trend Extension: From Detection Execution to Quality Data Center

The dual engine system of the coordinate measuring machine not only provides customized solutions based on the current industry production characteristics, but also has self-learning and iterative capabilities. By continuously collecting online detection data and offline precision results, the system can construct a real-time dashboard of the Process Capability Index (CPK), providing predictive suggestions for process adjustments. In the future, three coordinate detection can achieve "real-time dynamic adaptation", which means that as the production process of the enterprise upgrades and product types update, the system can automatically adjust the configuration scheme, always maintaining a high degree of compatibility with the production characteristics of the industry, and providing continuous support for the long-term quality control and efficiency improvement of the enterprise.