CN-122015943-A - Building site raise dust noise monitoring system

CN122015943ACN 122015943 ACN122015943 ACN 122015943ACN-122015943-A

Abstract

The invention discloses a construction site dust noise monitoring system, which relates to the technical field of environmental monitoring and comprises multimode sensing fusion, a dust monitoring unit, a targeted intelligent control unit, a humidity compensation unit, a drift correction unit, a noise separation unit, a noise detection unit, a noise control unit and a control unit, wherein the dust monitoring unit integrates a laser scattering sensor and a beta-ray sensor, the noise monitoring unit adopts microphone array sound source orientation and vibration sensor spectrum analysis, combines environmental parameters such as temperature, humidity, air pressure and raindrops to construct a multidimensional sensing network, solves the problem of pain points with insufficient reliability of a single data source of traditional equipment, is adaptive to dynamic environment, the humidity compensation unit corrects laser sensor errors according to real-time temperature and humidity segmentation, the noise separation unit filters non-construction interference through voiceprint-vibration spectrum matching, the drift correction unit automatically calibrates the laser sensor according to a beta-ray absolute value, the data reliability of a wet and multi-interference scene is remarkably improved, and the system triggers positioning spray and oriented sound wave suppression when PM10 continuously exceeds standards and noise exceeds standards, and meter-level precision pollution control is realized.

Inventors

LIN WEILONG
SHI SHAOXUAN
HE GUILONG
MIN YONG
GUO XINWEI
E Suofeng
WANG JIA
XU JINXIANG
ZHANG ZHENHUA
WANG HAIJUN
LUO ZHONGYUN
ZHANG HUAYONG
FANG WANCHUN
Ba Wanming
YU LIMING
JIANG YOUFENG
ZHAO JIANGBO
SU ZHUO
XI YIKUN
REN JIAJIA
ZHANG BIN
JU BIAO
E Chenfeng
Guo Yangfa
Xie Shunbin
WU ZHIYONG
SUN HAINING
GAO XIAOBIN

Assignees

新疆华电天山发电有限公司
中铁一局集团有限公司
中铁一局集团电务工程有限公司
北京曼德克环境科技有限公司

Dates

Publication Date: 20260512
Application Date: 20251212

Claims (10)

1. A worksite dust noise monitoring system, comprising: The system comprises a multi-mode sensing module, a dust monitoring unit, a noise monitoring unit, an environment parameter unit, a temperature and humidity sensor, an barometer and a raindrop sensor, wherein the dust monitoring unit integrates a laser scattering sensor and a beta-ray sensor, the laser scattering sensor acquires PM2.5/PM10 concentration in real time, and the beta-ray sensor performs reference calibration according to a preset period; the system comprises a humidity compensation unit, a noise separation unit, a drift correction unit, a laser scattering sensor, a noise detection unit and a control unit, wherein the humidity compensation unit dynamically corrects a water mist interference error of the laser scattering sensor based on temperature and humidity data, and automatically switches to a beta-ray sensor dominant output when humidity is larger than a set proportion; and the intelligent response linkage module is connected with the spray controller and the audible and visual alarm, and is used for triggering positioning spray and directional sound wave inhibition when the PM10 concentration exceeds a threshold value and the noise exceeds the standard for a continuous set period of time.
2. The worksite dust noise monitoring system of claim 1, wherein the multi-modal sensing module specifically comprises: dust monitoring unit: The laser scattering sensor irradiates suspended particulate matters in the air by emitting laser beams with specific wavelengths, and calculates PM2.5 and PM10 concentration values in real time according to the distribution of scattered light intensity of the particles; the beta-ray sensor is characterized in that a radioactive source in the beta-ray sensor releases beta-rays to penetrate through a sampling filter membrane, and the particle mass concentration is accurately measured through the ray attenuation; The laser scattering sensor continuously outputs monitoring data, the beta-ray sensor automatically starts a calibration process at fixed time, an absolute measured value is fed back to the processing core, and zero drift and range error of the laser sensor are dynamically corrected.
3. The worksite dust noise monitoring system of claim 2, wherein the multi-modal sensing module specifically comprises: noise monitoring unit: the microphone array is formed by arranging high-sensitivity digital microphones in a diamond topology, and performing spatial filtering on a sound field of a construction area by utilizing an acoustic beam forming algorithm to generate a directional pickup beam with an adjustable set angle range; the vibration sensor adopts an MEMS triaxial accelerometer to collect broadband vibration spectrum characteristics in a given range; The noise separation engine performs time-frequency domain matching on the sound signal and the vibration signal, when the microphone array captures a sound pressure event, the synchronous vibration spectrum database is searched, if the mechanical equipment characteristic spectrum aligned with the sound event in time is detected, the effective construction noise is judged, and if the sound event does not have the matching vibration characteristic, the background interference is regarded as being eliminated.
4. A worksite dust noise monitoring system according to claim 3, wherein the multi-modal sensing module comprises: environmental parameter unit: the temperature and humidity sensor adopts a capacitive polymer film probe to monitor the ambient temperature and humidity in a given temperature range and provide a humidity correction coefficient for dust monitoring; the barometer calculates air density based on the piezoresistance MEMS chip and combines temperature data to correct the gas absorption effect error of the beta-ray sensor; The raindrop sensor detects the intensity of precipitation through the infrared optical grid, triggers a rainproof mode when raindrops strike the monitoring window, closes the air inlet valve of the laser scattering sensor to reduce the risk of wet pollution, and starts a sedimentation compensation model of rainfall on dust.
5. The worksite dust noise monitoring system of claim 4, wherein the environment adaptive calibration module specifically comprises: humidity compensation unit: The real-time correction mechanism is used for acquiring environmental data every second by the temperature and humidity sensor, activating a humidity compensation algorithm when the relative humidity is smaller than or equal to a preset proportion, calculating correction coefficients based on humidity value segmentation, automatically switching to the main control output of the beta-ray sensor when the humidity value is larger than the preset proportion, and converting laser scattering data into auxiliary reference; And if the humidity value is higher than the preset proportion, the beta-ray dominant mode is still reserved, and if the humidity value is higher than the preset proportion, the laser main mode is delayed to be switched back after the humidity falls to the preset proportion.
6. The worksite dust noise monitoring system of claim 5, wherein the environment adaptive calibration module specifically comprises: noise separation unit: synchronously acquiring signals, capturing sound pressure signals by a microphone array at a set frequency sampling rate, and synchronously acquiring triaxial acceleration data of a construction mechanical contact point by a vibration sensor; the interference filtering flow comprises extracting characteristic including acoustic signal, extracting typical voiceprint characteristic of construction equipment, vibration signal, identifying fundamental frequency harmonic wave of equipment; The correlation judgment, calculating the cross-correlation coefficient of the sound signal and the vibration signal in a time window, and judging that the construction noise is effective if the cross-correlation coefficient is larger than or equal to a preset threshold value and the frequency characteristics are matched; and (3) adjusting a dynamic threshold value, and adapting to the background interference intensity of different time periods according to the background value of the environmental noise.
7. The worksite dust noise monitoring system of claim 6, wherein the environment adaptive calibration module specifically comprises: drift correction unit: Triggering timing calibration, starting a calibration sequence at fixed time, automatically collecting mass concentration data of particulate matters by a beta-ray sensor, and simultaneously recording readings of a laser scattering sensor; Drift compensation mechanism, zero point calibration, which is to force the baseline value of the laser scattering sensor to zero when PM10 is detected to be continuously smaller than a preset threshold value in the silence period of the construction site; Self-diagnosis fault tolerance, when the film load of the beta-ray sensor is larger than a set proportion, automatic suspension of calibration is carried out, the solar self-cleaning module is triggered to remove dust accumulation, and calibration standard reliability is ensured.
8. The worksite dust noise monitoring system of claim 7, wherein the intelligent response linkage module specifically comprises: multiparameter fusion decision mechanism: The method comprises the steps of dynamically identifying pollution events, judging an effective dust-raising event when the continuous set duration of PM10 concentration exceeds a preset threshold value and an environmental parameter unit eliminates rainfall interference, and judging the equipment running state by a vibration sensor after construction noise is filtered by a noise separation unit and the continuous set duration exceeds a legal limit value; Generating pollution thermodynamic diagram based on multi-mode sensing unit data, including dust source positioning, inverting pollution diffusion paths by combining wind speed and direction sensor data and PM concentration gradient change, noise source positioning, calculating sound arrival time difference by microphone array beam forming, and locking out coordinates of an out-of-standard device.
9. The worksite dust noise monitoring system of claim 8, wherein the intelligent response linkage module specifically comprises: accurate dust suppression execution: Positioning and spraying control, intelligent spraying networking, deployment of intelligent spray heads of the Internet of things, and automatic adjustment of spraying angles after receiving pollution source coordinates; Dynamically optimizing water quantity, slightly polluting, and starting single-nozzle intermittent spraying; according to the feedback of the raindrop sensor, if the rainfall intensity is greater than a preset threshold value, automatically suspending spraying, and suppressing dust by utilizing natural rainfall; The method comprises the steps of directional sound wave suppression, sound wave interference noise elimination, generation of reverse sound waves through sound field modeling aiming at fixed noise sources, formation of a noise elimination area in a target area, dynamic tracking of a moving sound source, real-time updating of the reverse sound wave phase by combining with a UWB positioning module, cooperation of sound and light alarm, stroboscopic LED warning triggered by the periphery of superscalar equipment, synchronous playing of directional voice prompts, and automatic pushing of an alarm work order to a mobile phone of a responsible person after exceeding a preset duration.
10. The worksite dust noise monitoring system of claim 9, wherein the intelligent response linkage module specifically comprises: predictive coordinated control: AI drives the pre-intervention, raise dust-noise association model, analyze the construction plan data in real time, the input parameter includes equipment start-stop plan, earthwork operation area, weather forecast in the future short term; And (3) evaluating the closed-loop effect, continuously monitoring the change rate of the pollution parameter after response, automatically lifting the spraying pressure and increasing the standby spray head if the decrease of the PM10 concentration within a preset duration is not expected, generating a response efficiency report, and optimizing the next control parameter.

Description

Building site raise dust noise monitoring system Technical Field The invention relates to the technical field of environmental monitoring, in particular to a construction site dust noise monitoring system. Background With the help of the files of the atmospheric pollution control method, the construction engineering dust on-line monitoring technical standard (T/CECS 1019-2022) and the like, the construction site is required to be provided with dust noise monitoring equipment in a forced manner. For example, the south Beijing prescribes that the cost exceeds billion items must be equipped with data visual monitoring equipment, and Shenzhen implements full factor supervision through a "remote shouting 3.0" system. Limitations of the traditional monitoring method include low manual inspection efficiency, dependence on manual periodic detection, incapability of responding to pollution events in real time, data islanding problems, lack of uniform platform integration of scattered monitoring equipment, caused by monitoring fragmentation, lagged treatment means, and incapability of dynamically adjusting according to real-time data due to the fact that a traditional spraying system depends on manual start and stop. The maturing of technologies such as 5G, edge calculation and AI provides possibility for constructing an integrated monitoring network of the sky and the earth. For example, the system of the Boen instrument realizes three-dimensional supervision of data and images through a video superposition technology, so that the dust raising exceeding duration is shortened by 82%. Therefore, a system for monitoring dust and noise on a construction site is needed to solve the problems of insufficient sensor precision and environmental adaptability, including a plurality of interference factors, a laser sensor is easily affected by water mist under a high humidity environment, the noise sensor is possibly interfered by background noise (such as traffic and mechanical sound) to cause data distortion, calibration is complex, the traditional sensor needs to be manually calibrated at regular intervals, and equipment aging is accelerated due to severe environment (such as high temperature and high dust) of the construction site, so that maintenance cost is increased. Disclosure of Invention In order to solve the technical problems, the technical scheme provides a construction site dust noise monitoring system, which solves the problems of insufficient sensor precision and environmental adaptability. In order to achieve the above purpose, the invention adopts the following technical scheme: A worksite dust noise monitoring system, comprising: The system comprises a multi-mode sensing module, a dust monitoring unit, a noise monitoring unit, an environment parameter unit, a temperature and humidity sensor, an barometer and a raindrop sensor, wherein the dust monitoring unit integrates a laser scattering sensor and a beta-ray sensor, the laser scattering sensor acquires PM2.5/PM10 concentration in real time, and the beta-ray sensor performs reference calibration according to a preset period; the system comprises a humidity compensation unit, a noise separation unit, a drift correction unit, a laser scattering sensor, a noise detection unit and a control unit, wherein the humidity compensation unit dynamically corrects a water mist interference error of the laser scattering sensor based on temperature and humidity data, and automatically switches to a beta-ray sensor dominant output when humidity is larger than a set proportion; and the intelligent response linkage module is connected with the spray controller and the audible and visual alarm, and is used for triggering positioning spray and directional sound wave inhibition when the PM10 concentration exceeds a threshold value and the noise exceeds the standard for a continuous set period of time. Preferably, the multi-mode sensing module specifically includes: dust monitoring unit: The laser scattering sensor irradiates suspended particulate matters in the air by emitting laser beams with specific wavelengths, and calculates PM2.5 and PM10 concentration values in real time according to the distribution of scattered light intensity of the particles; the beta-ray sensor is characterized in that a radioactive source in the beta-ray sensor releases beta-rays to penetrate through a sampling filter membrane, and the particle mass concentration is accurately measured through the ray attenuation; The laser scattering sensor continuously outputs monitoring data, the beta-ray sensor automatically starts a calibration process at fixed time, an absolute measured value is fed back to the processing core, and zero drift and range error of the laser sensor are dynamically corrected. Preferably, the multi-mode sensing module specifically includes: noise monitoring unit: the microphone array is formed by arranging high-sensitivity digital microphones in a diamond topology, and performing sp