1. Introduction
With the continuous development of road construction technology, the requirements for road compaction are getting higher and higher. The traditional compaction detection method is not only time-consuming and laborious, but also has problems such as large errors and low efficiency. In order to solve these problems, this paper proposes a design scheme for a vehicle-mounted compaction real-time detection system based on DSP (digital signal processor). The system realizes real-time and accurate detection of compaction by real-time monitoring and processing of signals generated during the compaction process, thereby improving the quality and efficiency of road construction.
2. System Overview
The vehicle-mounted real-time compaction detection system based on DSP is mainly composed of signal acquisition module, DSP processing module, data display and storage module and power management module. The system obtains vibration, sound and other signals generated during the compaction process through the signal acquisition module, and then processes and analyzes them in real time through the DSP processing module to obtain real-time data of compaction, which is displayed and stored through the data display and storage module. The power management module is responsible for providing a stable power supply for the entire system.
3. System Hardware Design
Signal acquisition module
The signal acquisition module is the core part of the system, responsible for acquiring various signals generated during the compaction process. According to actual needs, different types of sensors can be selected to collect signals, such as acceleration sensors, sound sensors, etc. These sensors convert the collected signals into electrical signals, and digitize them through analog-to-digital converters (ADCs), and then transmit the digitized signals to the DSP processing module.
DSP processing module
The DSP processing module is the core processing unit of the system, responsible for real-time processing and analysis of the collected signals. The DSP processor has high-speed computing capabilities and powerful digital signal processing capabilities, and can quickly filter, analyze the spectrum, and identify waveforms. In compaction detection, the DSP processing module is mainly responsible for performing spectrum analysis on the collected vibration signals, extracting characteristic parameters related to compaction, such as main frequency, amplitude, etc., and calculating the real-time value of compaction based on these parameters.
Data display and storage module
The data display and storage module is responsible for displaying and storing the real-time compaction value calculated by the DSP processing module. The module can use a display device such as a liquid crystal display (LCD) or a touch screen to display the compaction data in real time, and save the data through a storage device such as an SD card or a USB interface. In addition, the module can also communicate with the host computer and upload the real-time data to the host computer for further analysis and processing.
Power Management Module
The power management module is responsible for providing a stable power supply for the entire system. Since the vehicle-mounted real-time compaction detection system needs to work for a long time, the power management module needs to have efficient and stable power conversion capabilities and good heat dissipation performance. At the same time, the module also needs to have over-current, over-voltage, over-temperature and other protection functions to ensure the safe and reliable operation of the system.
4. System software design
System software design is the key link in the implementation of the vehicle-mounted real-time compaction detection system. According to the system functions and requirements, software design can be carried out in programming languages such as C language or assembly language. Software design mainly includes the following parts:
Initialization Procedure
The initialization program is responsible for initializing each module after the system is powered on, including the initialization of the DSP processor, the initialization of the ADC, the initialization of the LCD, etc. At the same time, it is also necessary to set the parameters and working mode of each module to ensure that the system can work normally.
Signal acquisition program
The signal acquisition program is responsible for controlling the signal acquisition module to collect and digitize the signal. The program needs to set the ADC sampling rate, sampling accuracy and other parameters, and select the appropriate sensor for signal acquisition according to actual needs. At the same time, the collected signal needs to be pre-processed, such as filtering, amplification and other operations, to improve the quality and reliability of the signal.
DSP Processor
The DSP processor is the core processor of the system, responsible for real-time processing and analysis of the collected signals. The program needs to implement algorithms such as spectrum analysis and waveform recognition, and calculate the real-time value of compaction based on the algorithm results. At the same time, the operation speed of the DSP processor needs to be optimized to improve the real-time performance and accuracy of the system.
Data display and storage program
The data display and storage program is responsible for displaying and storing the real-time compaction value calculated by the DSP processing module. The program needs to implement the communication protocol with display devices such as LCD and display the real-time data in a suitable format. At the same time, it is also necessary to implement the communication protocol with storage devices such as SD cards or USB interfaces to save the real-time data. In addition, the program also needs to implement the communication protocol with the host computer and upload the real-time data to the host computer for further analysis and processing.
5. System testing and optimization
After the system design and implementation are completed, system testing and optimization work needs to be carried out. First, the various functions of the system need to be tested to ensure that the system can work normally and meet the design requirements. Then the real-time performance and accuracy of the system need to be tested and optimized to improve the performance and reliability of the system. Finally, the stability and reliability of the system need to be tested and evaluated to ensure that the system can run stably in various complex environments and meet actual application requirements.
VI. Conclusion
This paper proposes a design scheme for a vehicle-mounted real-time compaction detection system based on DSP. The system realizes real-time and accurate detection of compaction by real-time monitoring and processing of signals generated during the compaction process. In terms of hardware design, high-performance DSP processors and suitable sensors are used to realize signal acquisition and processing; in terms of software design, programming languages such as C language or assembly language are used to implement various functions of the system. Through system testing and optimization, it can be ensured that the system has the characteristics of high performance, high reliability and high stability to meet the actual application needs.
Previous article:Implementing infrared remote control transmitter and receiver design in cars
Next article:Exploring converter measurement methods for stimulating automotive capacitive sensor applications
- Popular Resources
- Popular amplifiers
- Red Hat announces definitive agreement to acquire Neural Magic
- 5G network speed is faster than 4G, but the perception is poor! Wu Hequan: 6G standard formulation should focus on user needs
- SEMI report: Global silicon wafer shipments increased by 6% in the third quarter of 2024
- OpenAI calls for a "North American Artificial Intelligence Alliance" to compete with China
- OpenAI is rumored to be launching a new intelligent body that can automatically perform tasks for users
- Arm: Focusing on efficient computing platforms, we work together to build a sustainable future
- AMD to cut 4% of its workforce to gain a stronger position in artificial intelligence chips
- NEC receives new supercomputer orders: Intel CPU + AMD accelerator + Nvidia switch
- RW61X: Wi-Fi 6 tri-band device in a secure i.MX RT MCU
Professor at Beihang University, dedicated to promoting microcontrollers and embedded systems for over 20 years.
- LED chemical incompatibility test to see which chemicals LEDs can be used with
- Application of ARM9 hardware coprocessor on WinCE embedded motherboard
- What are the key points for selecting rotor flowmeter?
- LM317 high power charger circuit
- A brief analysis of Embest's application and development of embedded medical devices
- Single-phase RC protection circuit
- stm32 PVD programmable voltage monitor
- Introduction and measurement of edge trigger and level trigger of 51 single chip microcomputer
- Improved design of Linux system software shell protection technology
- What to do if the ABB robot protection device stops
- CGD and Qorvo to jointly revolutionize motor control solutions
- CGD and Qorvo to jointly revolutionize motor control solutions
- Keysight Technologies FieldFox handheld analyzer with VDI spread spectrum module to achieve millimeter wave analysis function
- Infineon's PASCO2V15 XENSIV PAS CO2 5V Sensor Now Available at Mouser for Accurate CO2 Level Measurement
- Advanced gameplay, Harting takes your PCB board connection to a new level!
- Advanced gameplay, Harting takes your PCB board connection to a new level!
- A new chapter in Great Wall Motors R&D: solid-state battery technology leads the future
- Naxin Micro provides full-scenario GaN driver IC solutions
- Interpreting Huawei’s new solid-state battery patent, will it challenge CATL in 2030?
- Are pure electric/plug-in hybrid vehicles going crazy? A Chinese company has launched the world's first -40℃ dischargeable hybrid battery that is not afraid of cold
- 【LuatOS-ESP32】Series Column Preview
- HTS221 temperature and humidity sensor driver has been added to makecode
- Urgently recruiting a development engineer who knows assembly language
- Arrow Electronics Seminar: Intel FPGA Deep Learning Acceleration Technology will be held both online and offline. We look forward to your presence!
- Three safety regulations
- What are the types of triggers? What is the difference between a trigger and a latch? What are the aspects of the latch's locking and storage?
- [RISC-V MCU CH32V103 Review] ---Advancing Wiki---GPIO and TIMER
- Android desktop effect simulation based on LVGL
- We dismantled a domestic medical B-ultrasound machine and let's take a look
- 【TI recommended course】#TI millimeter wave radar technology introduction#