Air compressor
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Solution Overview
Problem
Air compressors in cold regions face start-up congestion due to high lubricant viscosity, and existing control methods rely solely on sensor data, lacking integration of meteorological information for efficient operation and maintenance.
Innovation Solution
An air compressor system that includes a position information antenna for receiving position signals and a communication antenna to acquire meteorological information from a cloud server, allowing the controller to specify the compressor's position and perform control based on this information, thereby reducing the need for local sensors and improving operational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If freezing prevention device operation is performed by manual operation, then the device can be controlled, but human error causes start-up congestion or power consumption waste
Solution Approach 1:
The control device automatically determines the operation state of the freezing prevention device based on weather information (temperature, humidity) and control rules, eliminating the need for manual operation. The system serves itself by autonomously deciding when to activate or deactivate the freezing prevention device, preventing both start-up congestion and unnecessary power consumption.
Solution Approach 2:
The control device continuously receives weather information and compares it against predetermined control rules to dynamically adjust the freezing prevention device operation. This feedback mechanism ensures the device operates only when necessary (when temperature and humidity conditions indicate risk of lubricant solidification), improving reliability while optimizing energy usage.
2Device complexity
If control is performed using only sensor signals from the compressor, then the control system is simple, but meteorological information cannot be utilized for optimized operation
Solution Approach 1:
The control device acts as an intermediary that receives both sensor signals from the compressor and weather information from external sources. It processes this combined information according to control rules to generate appropriate control commands, enabling the system to adapt to environmental conditions without requiring complex restructuring of the existing sensor network.
3Device complexity
If drainage discharge control uses fixed intervals, then the control method is simple, but drainage discharge cannot be optimized based on environmental conditions
Solution Approach 1:
The drainage discharge control transitions from fixed intervals to dynamic, condition-based timing. The control device determines drainage discharge timing based on weather information (temperature, humidity) and compressor operation state, allowing the system to adapt drainage discharge intervals to actual environmental conditions and operational needs, thereby optimizing discharge efficiency.
Data Source
AI summary
A position information antenna 22b receives a position signal including position information about a sending source (satellite, base station, or the like) of a positioning radio wave. A communication antenna 22a transmits position information about a compressor 100 (air compressor) that compresses the air and receives meteorological information corresponding to the position of the compressor 100 from a server on a cloud. A controller 13 specifies the position of the compressor 100 from the position signal received by the position information antenna 22b and controls the compressor 100 on the basis of the meteorological information corresponding to the position of the compressor 100 received by the communication antenna 22a.