I、Introduction
With the continuous advancement of technology, the demand for computer electronic products, especially tablets, continues to grow in the market due to their convenience and versatility. However, consumers have increasingly high quality requirements for such products, especially regarding the noise level during product operation. Excessive noise can seriously affect user experience and may even lead to product returns and damage to brand reputation. Therefore, tablet manufacturers must implement strict noise testing during the production process to ensure that their products meet high standards of acoustic performance requirements.
II、Traditional tablet computer noise detection methods and their limitations
（1）Traditional detection methods
1.Sound pressure level measurement: Use a traditional sound level meter to measure the sound pressure level of a tablet computer in different working modes, compare it with the preset standard limit, and determine whether it exceeds the standard.
2.Spectrum analysis: Using Fourier transform (FFT) and other techniques to analyze the frequency spectrum of noise signals and identify the main noise frequency components.
3.Manual listening judgment: Experienced technicians conduct listening tests on tablet computers to determine the presence of abnormal noise based on subjective feelings.
（2）Limitations
1.Limited detection accuracy: Traditional sound pressure level measurement and spectral analysis can only provide overall level and frequency distribution information of noise, making it difficult to capture subtle abnormal noise features, especially in complex working environment noise backgrounds.
2.Strong subjectivity: Artificial listening judgment is greatly influenced by factors such as personal experience, hearing differences, and fatigue levels of the tested personnel, resulting in unstable and inconsistent test results.
3.Inefficient: Traditional detection methods often require longer detection time and more manpower investment, making it difficult to meet the efficient detection needs of large-scale production lines.
4.Unable to achieve automation integration: Traditional detection equipment is often difficult to deeply integrate with modern automated production lines, resulting in the detection process becoming a bottleneck in the production process.
III、Advantages of Zhongke Shengxuan Intelligent Noise Detection System
（1）The ultra-high sound insulation test box can reduce the noise inside the box to below 15dB (A) in an external noise environment of up to 80dB (A), providing a quiet and interference free testing environment for tablets, effectively eliminating external noise, and ensuring the capture of small noise changes in the device itself.
（2）High precision detectionThe Zhongke Shengxuan noise detection system adopts advanced AI machine auditory technology, combined with complex network structure and attention mechanism, which can accurately focus and identify small abnormal sounds during the operation of tablet computers, ensuring high detection accuracy even in complex background noise environments. Its multidimensional audio feature extraction techniques, including Mel frequency cepstral coefficients (MFCC), short-time Fourier transform (STFT), etc., can comprehensively analyze the characteristics of noise signals, ensuring that no potential abnormal sounds are missed.
（3）Automated detection processThe Zhongke Shengxuan system has achieved full process automation from acoustic signal acquisition to analysis and judgment. It can interact with the PLC (Programmable Logic Controller) on the tablet production line and seamlessly integrate with production line management systems such as MES (Manufacturing Execution System). This means that the detection process can be fully integrated into the automated production process without manual intervention, greatly improving detection efficiency and production pace.
（4）Self learning and adaptabilityThe self supervised learning and unsupervised anomaly detection functions of the Zhongke Shengxuan system enable it to automatically identify abnormal audio based solely on normal operating data, without the need for a large amount of labeled abnormal data for training. This self-learning ability not only reduces the cost of data collection and annotation, but also enables the system to quickly adapt to the detection needs of different types of tablets and various changes on the production line.
（5）Data driven quality controlThe Zhongke Shengxuan system is capable of collecting and analyzing a large amount of detection data, providing data-driven quality control support for the production process of tablet computers. By deeply mining the detection data, enterprises can discover potential quality problems and process defects on the production line, take timely improvement measures, optimize the production process, and improve product quality from the source.
（6）Flexible configuration planZhongke Shengxuan System provides a dual detection solution based on sound and vibration signals, which can adapt to the needs of different tablet production lines. Whether it is a high-precision detection scheme using a static speaker combined with a sound signal acquisition device, or a vibration sensor based detection scheme that does not require a static speaker, it can be perfectly matched with existing production line equipment and layout, making it convenient for enterprises to make flexible choices according to actual situations.
IV、Application scenarios of Zhongke Shengxuan noise detection system
（1）Tablet production lineZhongke Shengxuan System can play an important role in various aspects such as assembly, debugging, and final inspection of tablet computers. It can perform noise detection on key components such as speakers, fans, motors, etc. of tablet computers, timely detect and eliminate potential noise problems, and ensure that each factory produced tablet computer meets strict acoustic performance standards.
（2）Other computer and electronic productsIn addition to tablets, the Zhongke Shengxuan system is also suitable for noise detection of computer electronic products such as laptops and all-in-one machines. Its wide applicability and flexibility make it an ideal choice for the computer and electronics manufacturing industry.
V、ConclusionCompared
with traditional detection methods, the Zhongke Shengxuan Intelligent Noise Detection System has performed remarkably well in noise detection in the field of computer and electronic manufacturing due to its significant advantages such as high precision, automation, self-learning, and data-driven capabilities.
VI、Introduction to Zhongke Shengxuan Company
Zhongke Shengxuan (Suzhou) Technology Co., Ltd. is a high-tech enterprise dedicated to acoustic testing, vibration detection, and AI noise recognition of production line products, located in Suzhou, Jiangsu Province. The company relies on acoustic technology from the Chinese Academy of Sciences and has a strong research team consisting of acoustic PhDs, masters, and others; The company also has a professional acoustic laboratory with internationally advanced acoustic testing and analysis equipment, as well as multiple independent intellectual property rights and research and development patents; We have successfully provided customized noise detection solutions for customers in various fields such as automotive, home appliances, electronics, and healthcare. Representative clients include Apple, Huawei, Xiaomi, Lenovo Group, Tesla, Ideal Auto, NIO, CATL, Haier, Yuyue, Tsinghua University, etc.
Contact information: 0512-65165261 / 15162485069 / 19901457187
mail： zksxuan@163.com
Address: Building 4, Liandong U Valley, Comprehensive Bonded Zone, No. 20 Datong Road, Suzhou New Area