Vehicle Pressure Sensor Module High-Frequency Sampling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle sensor systems face challenges in efficiently sampling and filtering pressure signals at high frequencies, leading to delayed condition detection and increased computational burden on control modules, which affects timely decision-making and resource allocation.
Innovation Solution
A pressure sensor module with a sensing element, sampling module, filtering module, and monitoring module that samples pressure signals at a higher frequency than control modules, applies filters using coefficients provided by the control module, and notifies the control module when conditions are met, thereby unburdening the control module's bandwidth and computational power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the control module samples and processes pressure signals at high frequencies, then condition detection accuracy is improved, but computational burden and bandwidth consumption increase
Solution Approach 1:
The system divides the processing functions between the pressure sensor module and the control module. The pressure sensor module performs sampling, filtering, and initial condition monitoring, while the control module receives only the monitored conditions. This segmentation reduces the computational burden on the control module while maintaining detection accuracy.
Solution Approach 2:
The pressure sensor module acts as an intermediary between the pressure signal source and the control module. It performs preliminary processing including sampling at high frequency, applying filters using coefficients from the control module, and monitoring conditions, thereby reducing the data transmission burden and computational load on the control module.
2Productivity
If the control module performs filtering and statistical analysis, then processing capability is improved, but bandwidth and computational power are consumed
Solution Approach 1:
The processing tasks are segmented between the pressure sensor module and the control module. The pressure sensor module performs sampling, filtering, and statistical analysis, while the control module receives only the processed results. This reduces bandwidth consumption and computational power requirements at the control module.
Solution Approach 2:
The pressure sensor module performs self-service by autonomously sampling pressure signals, applying filters, performing statistical analysis, and monitoring conditions. This reduces the processing burden on the control module, thereby conserving bandwidth and computational power.
3Loss of time
If sampling frequency is increased, then condition detection timeliness is improved, but computational load increases
Solution Approach 1:
The system segments the high-frequency sampling function to the pressure sensor module, which has dedicated hardware resources. The control module receives only the processed condition information, not the raw high-frequency samples. This maintains condition detection timeliness while reducing computational load on the control module.
Solution Approach 2:
The pressure sensor module serves as an intermediary that performs high-frequency sampling and immediately processes the data through filtering and statistical analysis. This intermediary processing maintains detection timeliness while reducing the computational load on the control module, which receives only the final monitored conditions.
Data Source
AI summary
A pressure sensor module for a vehicle includes a sensing element module, a sampling module, a filtering module, and a monitoring module. The sensing element module measures a pressure of a fluid and outputs a pressure signal based on the pressure. The sampling module samples the pressure signal. The filtering module receives at least one filter coefficient from a control module and determines a filtered pressure based on at least one of the samples. The monitoring module receives a condition monitoring request from the control module, receives a predetermined value from the control module, and notifies the control module when a condition is satisfied based on a comparison of the predetermined value and one of the filtered pressure and a parameter determined based on the pressure signal.