AI Safety Network for Human-Machine Throughput Coordination
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Solution Overview
Problem
Existing systems fail to efficiently and safely integrate human-machine interactions in highly automated environments like smart factories, where machines and people coexist, leading to potential safety risks and inefficiencies in production processes.
Innovation Solution
A security system network with a central control unit and AI optimization module that integrates sensor data to dynamically assess safety levels for individuals and optimize machine performance, using a holistic view of human-machine interactions to minimize injury risk while maintaining productivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If machines and people move together in the same area to increase productivity, then production throughput is improved, but safety risks increase
Solution Approach 1:
The patent introduces a safety system network as an intermediary between machines and people. This network includes monitoring units that detect objects and sensor data, a central control unit that processes information and calculates safety levels, and communication units that coordinate actions. This intermediary system manages the interaction between humans and machines, enabling them to operate in the same area while maintaining safety through continuous monitoring and real-time coordination.
2Reliability
If safety monitoring is intensified to protect people, then safety level is improved, but production efficiency deteriorates
Solution Approach 1:
The patent implements dynamic safety monitoring where the safety system continuously adapts its monitoring and control actions based on real-time conditions. The central control unit calculates dynamic safety levels for people based on current sensor data and machine states, and communication units dynamically adjust machine operations or alert people as needed. This dynamic approach ensures safety is maintained at the appropriate level without unnecessary restrictions on production efficiency.
Solution Approach 2:
The safety system network establishes continuous feedback loops between monitoring units, the central control unit, and machine control systems. Sensor data from monitoring units feeds back to the central control unit, which updates safety levels and sends control signals back to machines or people. This closed-loop feedback mechanism enables real-time safety management that responds to actual conditions rather than imposing static restrictions, thereby maintaining both safety and productivity.
3Measurement precision
If a holistic view of human-machine interactions is implemented, then safety assessment accuracy is improved, but system complexity increases
Solution Approach 1:
The patent divides the safety system into segmented functional units: multiple monitoring units distributed throughout the area, a central control unit for processing, and communication units for coordination. Each monitoring unit independently detects objects and sensor data in its local area, then these segmented data streams are integrated by the central control unit to form a comprehensive safety assessment. This segmentation allows the system to manage complexity through modular design while achieving holistic monitoring coverage.
Solution Approach 2:
The central control unit serves multiple functions: it receives and processes sensor data from various monitoring units, calculates safety levels for people, determines machine characteristics and human characteristics, and sends control signals to machines and communication units. This multi-functional design consolidates the complexity into a single coordinating unit rather than requiring separate specialized systems for each function, thereby managing system complexity while achieving comprehensive safety assessment.
Data Source
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AI summary
A security system network (1) serves to monitor an area (2), such as a warehouse or factory, in which objects (3) in the form of people (4) and machines (5) move together. The machines (5) process and/or transport products (8) and/or manufacture them. The security system network (1) includes a central control unit (14) which is configured to receive sensor data (10) from a multitude of monitoring units (9) containing the objects (3) detected by the monitoring units (9) in the area (2) to be monitored. The central control unit (14) is configured to calculate a safety level (16) for the people (4) based on the sensor data (10), which indicates the level of risk to the people (4) in the area (2) to be monitored.The central control unit (14) includes an optimization module (15), wherein the optimization module (15) is designed to optimize, on the one hand, the performance (21) of machines (5) and, on the other hand, to optimize the safety level (16) of persons (4).