An analysis method, medium and system for analyzing the health of a chip module

Abstract

The application discloses an analysis method, a medium and a system for analyzing the health condition of a chip module, takes a brain-like ID as the medium, and realizes the capability of the chip module for reporting the health condition of the chip module through brain-like end engine encryption interaction. The working state and potential problems of each chip module are visually supervised through a BESPOS (Brain-Enabling System and Platform Operating System) chip sensing health center, real-time monitoring of the health condition of the chip module and fault prediction are realized, so that the stability of the chip module is ensured, the service life of equipment is prolonged, and stable operation of the equipment is ensured.

Description

Technical Field

[0001] This invention relates to the fields of electronic devices, electronic engineering, and embedded systems, and aims to provide an analysis method, medium, and system based on analyzing the health status of chip modules. Background Technology

[0002] With the widespread adoption of emerging technologies such as 5G, AI, and IoT, chip modules are widely used in various electronic devices. As a core component of these devices, their health directly impacts the device's performance and reliability. Therefore, accurately analyzing the health of chip modules to ensure their stable operation is crucial for safeguarding system security and data transmission. Summary of the Invention

[0003] To accurately obtain the health status of chip modules and ensure their stable operation, this invention aims to provide an analysis method, medium, and system for analyzing the health status of chip modules, enabling real-time monitoring and fault prediction, effectively extending equipment lifespan, and reducing maintenance costs. The specific implementation is as follows: ● First, the chip module is given the ability to report its own health status. By integrating a neuromorphic ID into the chip module and communicating encrypted with the neuromorphic engine, the chip module generates its own health data. ● Second, the chip module with the integrated neuromorphic ID communicates encrypted in real-time with the BESPOS intelligent operating system. As a core component of electronic devices, the chip module transmits its own health data (including but not limited to various sensor data and communication data status) to the BESPOS chip sensor health center in real time through the neuromorphic ID. Through data analysis and algorithm processing, the working status and potential problems of the chip module can be identified, including but not limited to performance monitoring, electrical parameter monitoring, communication signal monitoring, fault prediction, and lifespan prediction. ● Furthermore, based on the health status analysis of each chip module, BESPOS can also quickly grasp the operational stability of each electronic device and quickly formulate reasonable maintenance strategies, achieving real-time monitoring and fault prediction. Furthermore, this invention fully considers the importance and necessity of chip module health status for electronic devices and systems. Therefore, this invention has the following beneficial effects: ● Reduced maintenance costs: Based on a uniquely identified neuromorphic ID, the chip module can report its health status to the BESPOS intelligent operating system in real time, promptly identifying and addressing potential problems, thereby effectively avoiding equipment downtime and maintenance costs caused by chip module failures. Predictive maintenance reduces repair costs due to sudden failures, improving equipment economy. ● Ensured equipment stability: Through data analysis and algorithm processing, timely analysis of chip module health data can promptly identify potential problems and fault hazards, allowing for proactive maintenance measures, extending equipment lifespan, reducing production terminal and data loss due to equipment failures, and ensuring stable equipment operation. ● Improved product performance: Giving the chip module the ability to report its own health status helps engineers quickly understand the chip module's performance and feasibility in practical applications, thereby optimizing production processes, reducing problems caused by manufacturing defects, and improving design and manufacturing processes by analyzing the module's performance in different environments, thus improving overall product quality.

Claims

1. This invention uses a neuromorphic ID as a medium, and by integrating a neuromorphic ID into a chip module and encrypting it with a neuromorphic engine, it enables the chip module to report its own health status.

2. The present invention provides a mechanism for visually monitoring and analyzing the working status and potential problems of each chip module through the intelligent operating system (BESPOS) chip sensing health center.