Multi-Sensor Resource Allocation Control Device
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Solution Overview
Problem
Current multi-sensor systems require manual operator intervention to optimize sensor resource allocation, which is costly, expertise-dependent, and limits operator interchangeability, often leading to sub-optimal resource utilization due to high demand and overload situations.
Innovation Solution
A device and method that preselects sensor usage alternatives based on impact indicators calculated from usage rates and durations, incorporating factors like sensor load and criticality, to dynamically and efficiently allocate sensors for system functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual operator selection is used to allocate sensor resources, then expertise-based decisions can be made, but the system becomes costly, limits operator interchangeability, and requires high constant operator involvement
Solution Approach 1:
The sensor resource management system performs self-service by automatically calculating impact indicators and selecting optimal sensor alternatives without requiring manual operator intervention. The system uses pre-stored sensor usage alternatives and automatically computes the impact indicator for each alternative, then selects the optimal one based on the calculated indicators, making the system self-managing and reducing operator involvement to minimal supervision.
Solution Approach 2:
The patent replaces the mechanical system of manual operator decision-making with an automated computational system. Instead of operators manually evaluating sensor alternatives based on expertise, the system uses automated calculations of impact indicators (combining sensor load factor, usage time factor, and criticality factor) to objectively determine the optimal sensor allocation, substituting human mechanical processes with automated computational processes.
2Productivity
If operator-based sensor selection is used, then knowledge-based optimization is achieved, but operator interchangeability is limited and other system control responsibilities are impaired
Solution Approach 1:
The system achieves self-service by automatically performing resource optimization through impact indicator calculations and alternative selection, eliminating the need for operators to possess specialized sensor allocation knowledge. This automation maintains high productivity through optimized resource allocation while simultaneously improving operator interchangeability, as any operator can supervise the automated system without requiring expert knowledge.
Solution Approach 2:
The patent transforms the optimization process from a knowledge-based qualitative decision to a parameter-based quantitative calculation. By defining specific parameters (sensor load factor, usage time factor, criticality factor) and calculating their combined impact indicator, the system replaces subjective operator knowledge with objective parameter evaluation, maintaining optimization quality while enabling operator interchangeability.
3Productivity
If sensors are heavily used to meet demand, then system functions can be fulfilled, but sensor resources become saturated and unable to respond to specific requests
Solution Approach 1:
The system applies preliminary action by pre-calculating and storing multiple sensor usage alternatives in a database before they are needed. When a sensor allocation decision is required, the system retrieves pre-prepared alternatives and evaluates them using impact indicators, allowing for rapid decision-making that prevents sensor saturation while maintaining system function fulfillment.
Solution Approach 2:
The patent implements dynamics by continuously monitoring sensor usage states and dynamically adjusting sensor allocations based on real-time impact indicator calculations. The system adapts sensor assignments according to current load conditions, criticality levels, and usage time factors, enabling flexible resource distribution that maintains both productivity and sensor availability under varying demand conditions.
Data Source
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AI summary
A control device (1) for the use of sensors in a multi-sensor system (100) is proposed, the device (1) comprising: - a pre-selection unit for pre-selecting a set of sensor usage alternatives in an alternative database (5), in response to a query indicating a type of system function and at least one quality metric, an alternative being associated with at least one sensor and comprising, for each associated sensor, a sensor usage rate and a sensor usage time; - a calculation unit (12) for calculating an alternative impact indicator for each pre-selected alternative representing the impact of using each sensor in the alternative to fulfill the system function specified in the query; and - a selection unit (14) for selecting an alternative from among the pre-selected alternatives based on their impact indicator.