Stack Light PWM Detection for Real-Time Twinkling State Sensing
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Solution Overview
Problem
Conventional methods for detecting the state of stack lights in industrial internet of things environments face challenges in accurately determining the twinkling state, especially when twinkling frequencies are discordant or time periods for persistent on/off states vary, leading to inefficiencies and increased costs due to the need for prolonged calculations.
Innovation Solution
A detecting device comprising a low-pass filter and a logic circuit that processes pulse width modulation signals to generate a first output voltage, allowing for real-time determination of stack light states by converting the signals into direct-current voltages, which are then used to identify persistent on/off or twinkling states without requiring additional time for frequency calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional detection methods are used to determine twinkling stack light state, then the detection can identify the state, but it requires prolonged calculation time and causes waste of costs
Solution Approach 1:
The patent extracts only the essential information needed for state determination by using a low-pass filter to obtain the average duty cycle of the PWM signal, rather than performing complete frequency analysis. This extraction of key features enables state identification without prolonged calculation time.
Solution Approach 2:
The patent transforms the detection approach by changing from time-domain analysis (counting on/off transitions) to frequency-domain analysis (measuring average duty cycle). This parameter transformation allows instantaneous determination of twinkling state without requiring multiple periods of observation.
2Measurement precision
If conventional detection methods are used to determine twinkling stack light state, then the detection can identify the state, but it increases costs due to prolonged calculations
Solution Approach 1:
The patent extracts only the essential information needed for state determination by using a low-pass filter to obtain the average duty cycle of the PWM signal, rather than performing complete frequency analysis. This extraction of key features enables state identification without prolonged calculation time.
Solution Approach 2:
The patent employs a simple low-pass filter circuit instead of complex computational algorithms, using a low-cost approach that requires minimal processing power and energy consumption to achieve accurate state detection.
3Measurement precision
If prolonged calculation is performed to determine twinkling frequency, then the detection can be accurate, but it cannot achieve real-time reporting
Solution Approach 1:
The patent performs preliminary filtering of the PWM signal through a low-pass filter to obtain the average duty cycle before state determination. This preliminary processing prepares the data in a form that enables instantaneous state identification without requiring subsequent prolonged calculations.
Solution Approach 2:
The patent replaces the mechanical counting process (time-domain analysis of on/off transitions) with an electronic filtering process (low-pass filter). This substitution enables continuous real-time detection by converting the PWM signal to a smooth analog voltage that directly reflects the duty cycle.
4Adaptability or versatility
If conventional detection methods are used, then the detection can handle different stack light displays, but it is difficult to determine state when twinkling frequency is discordant or time periods are different
Solution Approach 1:
The patent creates a universal detection method that works with any PWM-controlled stack light by measuring the average duty cycle through a low-pass filter. This approach is independent of specific twinkling frequencies or on/off time periods, making it universally applicable to different stack light displays while simplifying state determination.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and real-time detection of stack light states, reducing waste and costs by eliminating the need for prolonged calculations, and effectively distinguishing between persistent and twinkling states within the industrial internet of things environment.
Implementation Method 1
a low-pass filter configured to perform low-pass filtering on an input signal to generate a first output voltage
Data Source
AI summary
A detecting device for detecting a stack light state includes a low-pass filter configured to perform low-pass filtering on an input signal to generate a first output voltage; and a logic circuit coupled to the low-pass filter and configured to determine the stack light state according to the first output voltage; wherein the input signal is a pulse width modulation signal and a voltage level of the first output voltage is between a highest voltage level and a lowest voltage level of the pulse width modulation signal.