Urban sound barrier noise monitoring electronic control system

Abstract

The utility model relates to the technical field of sound barrier noise monitoring systems, in particular to an urban sound barrier noise monitoring electronic control system, which comprises a battery module, a master control EFM32 chip, a key on-off starting circuit, a voltage detection alarm, a noise sensor, a low quiescent current power conversion chip (DCDC) and an NB-IOT M5311 module for data uploading. The master control EFM32 chip is connected with the key on-off starting circuit through two GPIOs, and the master control EFM32 chip is connected with the voltage detection circuit through an internal ADC and is connected with the alarm lamp through GPIOs and an MOS tube. The system intelligently diagnoses the health and qualification conditions of the sound barrier according to the monitoring data, comprehensively processes the analysis data, transmits the analysis data in real time, visually presents the analysis data at multiple angles, timely discovers potential safety hazards, guarantees traffic safety, promotes the intelligent development of urban traffic construction and operation and maintenance, and improves the safety of urban traffic. The method helps maintainers to evaluate and optimize the wind load after the sound barrier is installed, and ensures the safety and long-term stability of the sound barrier structure.

Description

Technical Field

[0001] The utility model relates to the technical field of sound barrier noise monitoring systems, in particular to an electronic control system for monitoring urban sound barrier noise. Background Art

[0002] The sound barrier noise monitoring system is a technology used to measure and analyze the noise of the sound barrier structure when rail transit passes by. It is designed to help maintenance personnel evaluate and optimize the noise load after the sound barrier is installed, and ensure the safety and long-term stability of the sound barrier structure. At present, the background technology of the noise monitoring system mainly includes the following aspects: Sensor technology: The sensor is the core component of the noise monitoring system and is used to measure noise parameters. Common sensors for measuring noise include capacitive noise sensors, thermal noise sensors, piezoelectric noise sensors, and resistive noise sensors. These sensors can collect data in real time and convert them into electrical signals for processing and analysis. Data acquisition and processing: Noise monitoring systems are usually equipped with data acquisition systems to collect data generated by sensors and perform real-time processing, monitoring and analysis. These systems can filter and smooth the data to improve the accuracy and reliability of the data. Numerical simulation and calculation methods: Numerical simulation and calculation methods can be used to monitor the noise distribution around the sound barrier. These calculation results can be used to evaluate the safety maintenance of the sound barrier structure and guide the design and installation plan. Data visualization and alarm system: In order to facilitate operation and maintenance personnel to monitor and understand data, the noise monitoring system usually provides a visual interface to display real-time data in the form of charts, curves, etc. At the same time, the system can also set an alarm mechanism. When the noise exceeds the preset threshold, an alarm will be automatically issued to remind relevant personnel to take corresponding measures.

[0003] The background technology of noise monitoring system is constantly developing and innovating, and there are still some challenges and room for improvement. For example, using Internet of Things (IOT) technology to upload and process data and visualize it. At the same time, improving the accuracy and stability of sensors, optimizing data processing algorithms, and further improving the accuracy of numerical simulation methods.

[0004] Therefore, the utility model provides an electronic control system for monitoring noise of urban sound barrier screens. Utility Model Content

[0005] The purpose of the utility model is to solve the shortcomings of the noise monitoring system in the prior art, which still has some challenges and room for improvement, and to propose an electronic control system for monitoring noise of urban sound barriers.

[0006] In order to achieve the above-mentioned purpose, the utility model adopts the following technical scheme: an electronic control system for noise monitoring of a city sound barrier screen, comprising a battery module, a main control EFM32 chip, a key switch startup circuit, a voltage detection alarm, a noise sensor, a low quiescent current power conversion chip (DCDC), and NB-IOT M5311 module data upload, wherein the main control EFM32 chip is connected to the key switch startup circuit through two GPIOs, the main control EFM32 chip is connected to the voltage detection circuit through an internal ADC, and is connected to the alarm light through GPIO and a MOS tube, the power conversion chip (DCDC) output is connected to the system power supply demand end, the main control EFM32 chip is connected to the M5311 module through GPIO and a MOS tube, and is connected to the USIM card holder through three wires, and the main control EFM32 chip is connected to the noise sensor through an ADC conversion chip GS1237-SO.

[0007] Furthermore, the main control EFM32 chip wakes up at equal time intervals to collect the value of the noise sensor.

[0008] Furthermore, after the acquisition is completed, the master EFM32 chip is connected to the radio frequency module, uploads the data to the cloud platform, and then enters sleep.

[0009] Furthermore, when the main control EFM32 chip detects that the power supply voltage is lower than a threshold value, the alarm indicator light flashes red.

[0010] Furthermore, the urban sound barrier noise monitoring system also includes sensor network nodes, embedded systems, Internet of Things technology, and operation and maintenance display cloud platform development.

[0011] Furthermore, the output end of the sensor network node is electrically connected to the input end of the embedded system.

[0012] Furthermore, the output end of the embedded system is electrically connected to the input end of the Internet of Things technology. The embedded system is responsible for controlling each module and processing relevant information, combining the noise sensor with the embedded main control system to form an independent noise monitoring system.

[0013] Furthermore, the output end of the Internet of Things technology is electrically connected to the input end of the operation and maintenance demonstration cloud platform development.

[0014] In summary:

[0015] In the utility model, the health and qualification status of the sound barrier are intelligently diagnosed based on the monitoring data, the analysis data is comprehensively processed and transmitted in real time, and the analysis data is presented from multiple angles and visualized to timely discover safety hazards and ensure traffic safety. At the same time, it promotes the intelligent development of urban transportation construction and operation and maintenance, helps maintenance personnel evaluate and optimize the wind load after the installation of the sound barrier, and ensures the safety and long-term stability of the sound barrier structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is the hardware block diagram of the electronic control system for urban sound barrier noise monitoring of the utility model;

[0017] Figure 2 It is a structural block diagram of the utility model. DETAILED DESCRIPTION

[0018] Reference Figure 1-2 As shown, the utility model provides a technical solution: an urban sound barrier noise monitoring electronic control system, including a battery module, a main control EFM32 chip, a key switch startup circuit, a voltage detection alarm, a noise sensor, a low quiescent current power conversion chip (DCDC), and NB-IOT M5311 module data upload.

[0019] The following is a detailed description of its overall specific settings and functions.

[0020] In this implementation scheme: the output end of the battery module is connected to the input end of the lower shell acquisition board, and the main control EFM32 chip is connected to the noise sensor. The main control EFM32 chip is connected to the key switch startup circuit to control whether the system is turned on, and the main control EFM32 chip is connected to the voltage detection alarm to provide an external power alarm indication. The output of the low quiescent current power conversion chip (DCDC) is connected to the power supply input of the main control EFM32 chip, the main control EFM32 chip is connected to the NB-IOT M5311 module data upload, and the output end of the battery module is connected to the input end of the lower shell acquisition board. Power is supplied to the entire system of the lower shell to ensure the stable operation of the system. The main control EFM32 chip is connected to the noise sensor and the audio integrated power amplifier LM3866. The sound signal is amplified and filtered, and then converted into a digital signal using ADC acquisition processing to obtain the sound pressure. It has the advantages of high precision and good stability. The main control EFM32 chip is connected to the key switch startup circuit to control whether the system is turned on. The main control EFM32 chip is connected to the voltage detection alarm to give an external power alarm indication. The output of the low quiescent current power conversion chip (DCDC) 7 is connected to the power supply input of the main control EFM32 chip to provide a stable power supply environment for the system. The ripple and noise meet the system requirements. The main control EFM32 chip is connected to the NB-IOT M5311 module data upload. After the main control EFM32 chip collects data, it will station M5311 on the network and send data to the cloud platform.

[0021] Specifically, the urban sound barrier noise monitoring system also includes sensor network nodes, embedded systems, Internet of Things technology, and operation and maintenance display cloud platform development. The output end of the sensor network node is electrically connected to the input end of the embedded system. The output end of the embedded system is electrically connected to the input end of the Internet of Things technology. The embedded system is responsible for controlling each module and processing relevant information. The noise sensor is combined with the embedded main control system to form an independent noise monitoring system. The output end of the Internet of Things technology is electrically connected to the input end of the operation and maintenance display cloud platform development. Sensor network nodes: Use noise sensors distributed on the sound barrier to collect noise data. According to the different installation positions of the noise sensor pipelines, the noise conditions of multiple points on the sound barrier can be monitored in real time and comprehensive analysis can be performed. The embedded system combines the noise sensor with the embedded main control system to form an independent noise monitoring system. The system collects sensor data, processes and analyzes data, and provides alarm functions. Internet of Things (IoT) technology uses Internet of Things technology to connect network communication with sensor network nodes in the urban sound barrier noise monitoring system to realize data networking and intelligent management. The operation and maintenance display cloud platform combines the noise monitoring system with cloud computing technology to realize remote data storage and processing. Sensor data can be transmitted to the cloud through the network, and powerful computing resources can be used for data analysis and simulation, while providing a visual interface and alarm services. To implement the above technical solution, the sensor network node uses a capacitive column microphone to pick up the sound analog signal, and the audio integrated power amplifier LM386 is used to amplify and filter the sound signal, and then the ADC is used to collect and process it into a digital signal to obtain the sound pressure. Therefore, it is only necessary to connect the ADC output interface to the IO port of the control chip, and then read the digital signal value through the internal ADC to obtain the external noise data. To implement the above technical solution, the embedded main control selects a low-power MCU (EFM32) based on the system requirements, implementation functions and power consumption requirements, and the package type, performance and cost, etc. to meet the overall system requirements. As a preferred solution of the utility model, the Internet of Things (IoT) technology connects network communication with the sensor network node in the urban sound barrier noise monitoring system to realize data networking and intelligent management.

[0022] Working principle: The utility model provides an electronic control system for noise monitoring of urban sound barriers. In order to realize the automation and intelligence of health status monitoring of the safety and performance of facilities and equipment of railway and urban transportation systems, it is necessary to establish a set of intelligent monitoring systems for the operation and maintenance of urban sound barriers. An intelligent monitoring system is established to dynamically monitor the noise around the sound barriers in real time, and the health and qualification status of the sound barriers are intelligently diagnosed according to the monitoring data. The data is analyzed for comprehensive processing and real-time transmission, and the data is analyzed from multiple angles and visualized to timely discover safety hazards and ensure traffic safety. At the same time, it promotes the intelligent development of urban transportation construction and operation and maintenance, helps maintenance personnel evaluate and optimize the wind load after the installation of the sound barrier, and ensures the safety and long-term stability of the sound barrier structure.

[0023] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installation", "connection" and "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood by specific circumstances.

Claims

1. The electronic control system for noise monitoring of urban sound barrier screen includes a battery module, a main control EFM32 chip, a key switch startup circuit, a voltage detection alarm, a noise sensor, a low quiescent current power conversion chip (DCDC) and NB-IOT M5311 module data upload, which is characterized by: The main control EFM32 chip is connected to the key switch startup circuit through two GPIOs, the main control EFM32 chip is connected to the voltage detection circuit through the internal ADC, and is connected to the alarm light through the GPIO and MOS tube, the power conversion chip (DCDC) output is connected to the system power supply demand end, the main control EFM32 chip is connected to the M5311 module through the GPIO and MOS tube, and is connected to the USIM card holder through 3 wires, and the main control EFM32 chip is connected to the noise sensor through the ADC conversion chip GS1237-SO.

2. The urban sound barrier noise monitoring electronic control system according to claim 1 is characterized by: The master control EFM32 chip wakes up at equal time intervals to collect the value of the noise sensor.

3. The urban sound barrier noise monitoring electronic control system according to claim 1 is characterized by: After the acquisition is completed, the master EFM32 chip connects to the RF module, uploads the data to the cloud platform, and then enters sleep mode.

4. The urban sound barrier noise monitoring electronic control system according to claim 1 is characterized by: When the main control EFM32 chip detects that the power supply voltage is lower than the threshold, the alarm indicator light flashes red.

5. The urban sound barrier noise monitoring electronic control system according to claim 1 is characterized by: The urban sound barrier noise monitoring system also includes sensor network nodes, embedded systems, Internet of Things technology, and operation and maintenance display cloud platform development.

6. The urban sound barrier noise monitoring electronic control system according to claim 5 is characterized by: The output end of the sensor network node is electrically connected to the input end of the embedded system.

7. The urban sound barrier noise monitoring electronic control system according to claim 5 is characterized by: The output end of the embedded system is electrically connected to the input end of the Internet of Things technology. The embedded system is responsible for controlling each module and processing relevant information. The noise sensor is combined with the embedded main control system to form an independent noise monitoring system.

8. The urban sound barrier noise monitoring electronic control system according to claim 5 is characterized by: The output end of the Internet of Things technology is electrically connected to the input end of the operation and maintenance demonstration cloud platform development.

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