Image Detection Module for Position-Based Environmental Mapping
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Solution Overview
Problem
Existing environmental information management systems struggle to accurately capture and manage non-uniform environmental conditions within spaces due to air flow, obstacles, and heat sources, leading to inconsistencies in data collection and difficulty in grasping environmental information at specific positions.
Innovation Solution
An information management system incorporating neural networks and image detection modules with positional sensors and communication modules to collect and process environmental data, enabling accurate determination of environmental conditions across a space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a sensor is placed at a specific position to collect environmental information, then the sensor can detect environmental data at that location, but the environmental situation in the space cannot be uniformly represented due to air flow, obstacles, and heat sources
Solution Approach 1:
The patent divides the space into multiple detection zones by placing multiple sensors at different positions. Each sensor independently detects environmental information in its local area, and the management device integrates these segmented measurements to comprehensively represent the overall environmental conditions, resolving the contradiction between local measurement precision and global environmental consistency.
Solution Approach 2:
The patent combines environmental information from multiple sensors detecting different parameters (temperature, humidity, illuminance, air flow) at various positions. The management device merges these multiple data streams to create a unified environmental profile of the space, ensuring both accurate local measurements and consistent global representation.
2Loss of information
If multiple sensors are placed throughout the space to capture non-uniform environmental conditions, then environmental information coverage is improved, but the system complexity increases
Solution Approach 1:
The patent employs sensors that can detect multiple environmental parameters simultaneously (temperature, humidity, illuminance, air flow). This multi-functionality reduces the need for separate sensors for each parameter, thereby improving environmental information coverage while limiting the increase in system complexity.
Solution Approach 2:
The management device receives environmental information from multiple sensors and uses feedback mechanisms to adjust and integrate the data. This feedback system efficiently processes information from the sensor network, managing complexity by providing structured data integration and analysis rather than requiring complex hardware architecture.
3Measurement precision
If environmental information is collected at multiple positions to ensure quality stability, then the accuracy of environmental data improves, but the difficulty in grasping environmental information at specific positions increases
Solution Approach 1:
The management device acts as an intermediary between the multiple sensors and the user or control system. It receives, processes, and organizes environmental information from various positions, then provides retrieved data in a structured manner. This intermediary function simplifies position-specific information retrieval while maintaining the benefits of multi-position data collection.
Data Source
AI summary
Environmental information is managed by a neural network.An image detection module includes a first neural network, a first communication module, a first position sensor, a first processor, and a passive element. The first neural network includes an imaging device. The imaging device has a function of obtaining an image, and the first position sensor has a function of detecting positional information on where the image is obtained. When the first neural network determines whether the image has learned features, the first processor can transmit the positional information on where the image is obtained. The first processor receives a detection result through the first communication module, and the first processor can operate the passive element in accordance with the detection result.