18542855. ABNORMAL FRAME DETERMINATION DEVICE, ABNORMAL FRAME DETERMINATION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM simplified abstract (DENSO CORPORATION)
ABNORMAL FRAME DETERMINATION DEVICE, ABNORMAL FRAME DETERMINATION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM
Organization Name
Inventor(s)
Remma Takeuchi of Kariya-city (JP)
Tatsuro Kawakami of Kariya-city (JP)
Michitaka Fukushima of Kariya-city (JP)
ABNORMAL FRAME DETERMINATION DEVICE, ABNORMAL FRAME DETERMINATION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18542855 titled 'ABNORMAL FRAME DETERMINATION DEVICE, ABNORMAL FRAME DETERMINATION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM
The abstract describes a device that determines abnormal data frames transmitted by an electronic control unit based on the receipt interval between consecutive data frames.
- The device calculates the receipt interval between two data frames and adds a predetermined value to a determination value stored in a storage when the interval is shorter than a threshold.
- It identifies a data frame as abnormal when the determination value reaches a limit and the receipt interval is longer than a proximity receipt interval.
- The proximity receipt interval is a criterion for determining if two data frames are received in close proximity to each other.
Potential Applications: - Automotive industry for detecting abnormal data frames in electronic control units. - Industrial automation for monitoring data transmission for abnormalities.
Problems Solved: - Efficient detection of abnormal data frames in real-time data transmission. - Preventing errors or malfunctions caused by abnormal data frames.
Benefits: - Improved reliability and safety in data transmission systems. - Early detection of potential issues leading to timely maintenance or intervention.
Commercial Applications: Title: Real-time Abnormal Data Frame Detection Device This technology can be used in automotive, industrial automation, and other sectors where real-time data transmission monitoring is crucial. It can enhance the reliability and safety of electronic control units, leading to improved overall system performance.
Questions about the technology: 1. How does the device calculate the proximity receipt interval? The device calculates the proximity receipt interval based on the predetermined threshold and the receipt interval between consecutive data frames.
2. What are the potential consequences of not detecting abnormal data frames in real-time? Not detecting abnormal data frames in real-time can lead to system malfunctions, errors, or safety hazards, impacting the overall performance and reliability of the system.
Original Abstract Submitted
An abnormal frame determination device receives data frames which are transmitted by an electronic control unit at a predetermined period. A receipt interval between a first data frame and a second data frame is calculated. The second data frame is received immediately before receipt of the first data frame. A predetermined value is added to a determination value stored in a storage when the receipt interval is shorter than a threshold. It is determined that the second data frame is an abnormal frame when the determination value reaches a limit value and the receipt interval is longer than a proximity receipt interval that is a criterion for determining whether the first data frame and the second data frame are received in proximity to each other.
