Image Processing Device Adaptive Data Transmission Server Load
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Solution Overview
Problem
Conventional image processing device failure prediction systems increase server load when multiple devices are determined to be abnormal, as they require higher frequency data collection, leading to ineffective load reduction on the server.
Innovation Solution
An image processing device that periodically sends internal data to a server only when there is a change in operation status since the previous data transmission, reducing unnecessary data transmission and server load by determining whether to send the latest internal data based on changes in operation status during the predetermined interval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the server obtains data at low frequency to reduce load, then server load is reduced, but the ability to detect abnormal devices timely is worsened
Solution Approach 1:
The patent applies dynamics by making the data transmission frequency adaptive rather than static. Normal devices transmit data at low frequency to reduce server load, while abnormal devices automatically increase their transmission frequency. This dynamic adjustment allows the system to maintain low overall server load while ensuring timely detection of abnormal devices through their increased transmission activity.
Solution Approach 2:
The patent implements feedback mechanisms where devices monitor their own operation status and use this information to control their data transmission behavior. When a device detects abnormal operation status, it provides feedback to increase transmission frequency, ensuring that the server receives timely updates about problematic devices without requiring the server to actively query all devices at high frequency.
2Reliability
If the server increases data obtaining frequency from abnormal devices, then abnormal device detection timeliness is improved, but server load increases
Solution Approach 1:
The patent segments the device population into normal and abnormal categories, applying different transmission strategies to each segment. Normal devices continue low-frequency transmission, while only abnormal devices increase their transmission frequency. This segmentation ensures that the server handles high-frequency data only from problematic devices, maintaining detection timeliness for abnormalities while preventing overall server load from increasing significantly.
Solution Approach 2:
The patent applies partial action by having only the necessary subset of devices (abnormal ones) increase their transmission frequency, rather than requiring all devices to transmit at high frequency. This partial increase in transmission activity from specific devices provides timely abnormal detection without the excessive server load that would result from universal high-frequency transmission.
3Loss of information
If all devices send data at predetermined frequency, then data completeness for analysis is improved, but server load increases
Solution Approach 1:
The patent applies local quality by making data transmission frequency device-specific rather than uniform across all devices. Each device's transmission frequency is adjusted according to its local condition (normal or abnormal status). This approach ensures that the server receives complete and relevant information from abnormal devices at high frequency while maintaining reduced load through low-frequency transmission from normal devices, optimizing the balance between data completeness and server load.
Data Source
AI summary
An image processing device capable of repeatedly sending internal data stored inside the device to a server at a predetermined timing, comprises: a hardware processor that: obtains the internal data from the inside the device at every data transmission timing; determines whether or not to send the latest internal data obtained at the current data transmission timing to the server based on a change in an operation status during a period from the previous data transmission timing to the current data transmission timing; and sends the latest internal data to the server when determining to send the latest internal data to the server.