Centralized Image Processing Device Management via Network Polling
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Solution Overview
Problem
Current image processing device management methods are inefficient and lack real-time monitoring capabilities, leading to delayed detection and resolution of malfunctions, which compromises crime deterrence and requires multiple operators to manage individual devices, resulting in high management costs and limited scalability.
Innovation Solution
A remote management system where image processing devices detect and transmit their operation states and error information to a central management server via a network, allowing for real-time monitoring and alerting through consoles, mobile phones, and emails, enabling centralized management and proactive issue resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a separate operator is assigned to each area to monitor image processing devices, then the operation state can be monitored, but the management cost increases and the monitoring efficiency is limited
Solution Approach 1:
Multiple image processing devices distributed in different areas are merged into a single centralized management system. The management server consolidates monitoring functions for all devices, allowing one operator to monitor multiple locations simultaneously, thereby reducing the number of operators needed while maintaining monitoring reliability
Solution Approach 2:
The management server provides universal monitoring capabilities across multiple image processing devices and locations. A single operator using the management console can perform monitoring, fault detection, and management functions for all devices, making the system multi-functional and eliminating the need for dedicated operators at each location
2Reliability
If conventional management methods are used with separate operators for each device, then individual device monitoring is possible, but the response time to malfunctions is delayed
Solution Approach 1:
The management server implements continuous feedback monitoring by periodically polling image processing devices for their operation states. When a malfunction or abnormal condition is detected, the system immediately sends notifications to the operator through the management console, enabling rapid response and reducing the time loss associated with delayed malfunction detection
Solution Approach 2:
The system performs preliminary monitoring and fault detection actions continuously in the background. By proactively checking device states and detecting malfunctions before they escalate, the system prepares operators in advance, allowing them to respond quickly when issues arise rather than reacting to problems after they have already impacted operations
3Ease of operation
If only basic operation state (ON/OFF) monitoring is implemented, then simple status checking is possible, but comprehensive malfunction detection and analysis are insufficient
Solution Approach 1:
The monitoring system segments information collection into multiple hierarchical levels: basic operation state (ON/OFF), detailed error information, and diagnostic data. This segmentation allows the system to maintain simple overall operation while gathering comprehensive information at each level, enabling both ease of use and thorough malfunction analysis without contradiction
Data Source
AI summary
A remote management system includes a plurality of image processing devices which each detect their own first state information according to a power state transition or an operation, provide the first state information via a network, and respond to polling; and a management server which manages the first state information provided by each image processing device and second state information obtained from a response to polling, and manages a history of each image processing device based on the first state information and the second state information. The remote management system can remotely collect and manage operation state, error information that can cause a malfunction, error information generated by abnormal operation as well as malfunction of individual image processing devices and can collect/manage state information such as image processing device internal operation state information, image processing device malfunction, network connection failure, and software error.