Flying dust intelligent monitoring and dust falling control system for urban road construction

Abstract

The invention relates to the technical field of urban road construction, in particular to an intelligent flying dust monitoring and dust falling control system for urban road construction, which comprises a flying dust monitoring module, a dust falling control module, a dust falling control module and a dust falling control module, the data fusion processing center is used for processing the monitoring data and generating a dust fall control instruction; the intelligent dust falling execution module is used for triggering a dust falling device according to the instruction; the cloud platform and the mobile terminal are used for storing the monitoring data, visually displaying the flying dust thermodynamic diagram and pushing standard exceeding early warning information to management personnel; data are collected in real time through the flying dust monitoring module, a flying dust pollution source and the diffusion trend of the flying dust pollution source are recognized in combination with the dynamic analysis and prediction capacity of the data fusion processing center, the intelligent dust falling execution module is used for triggering dust falling measures, and meanwhile remote monitoring and early warning are achieved through the cloud platform and the mobile terminal. The problem of response lag in a traditional method is solved, and the control efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of urban road construction, and in particular to an intelligent dust monitoring and dust reduction control system for urban road construction. Background Art

[0002] During urban road construction, dust pollution is one of the common environmental problems. Construction sites usually use staff inspections or fixed dust monitoring equipment to conduct environmental monitoring, and combine traditional dust reduction methods such as sprinkler trucks and spray devices to control dust diffusion. These methods can alleviate the impact of construction dust on the environment to a certain extent, but are limited by monitoring accuracy, response speed and degree of automation, and it is still difficult to achieve efficient and accurate dust control.

[0003] Traditional monitoring equipment often only provides static data and cannot predict dust diffusion trends in real time, resulting in delayed dust reduction measures or excessive spraying, which not only wastes water resources but also makes it difficult to accurately suppress pollution sources. At the same time, existing systems usually rely on staff intervention and lack intelligent decision-making capabilities. It is difficult to dynamically adjust dust reduction strategies in complex construction environments, thus affecting the overall control effect.

[0004] Therefore, in response to the above-mentioned problems, the present invention proposes an intelligent dust monitoring and dust reduction control system for urban road construction. Through real-time data fusion, intelligent prediction models and automated execution modules, it can achieve accurate monitoring and dynamic suppression of dust pollution, thereby improving the environmental protection management level of construction. Summary of the Invention

[0005] In order to overcome the problem of disconnection between dust monitoring and dust reduction control and low response efficiency, the present invention proposes an intelligent dust monitoring and dust reduction control system for urban road construction.

[0006] The technical solution of the present invention is: an intelligent dust monitoring and dust reduction control system for urban road construction, comprising: The dust monitoring module includes PM2.5 / PM10 sensors, meteorological sensors, and noise sensors, which are used to collect real-time particle concentration, meteorological data, and noise indicators in the construction area. The meteorological data includes wind speed, wind direction, temperature, and humidity. The data fusion processing center is used to dynamically calibrate the monitoring data, eliminate outliers, predict dust diffusion trends, and generate dust control instructions; Intelligent dust suppression execution module, used to trigger the sprinkler, fog cannon or enclosure spray system according to instructions; The cloud platform and mobile terminals are used to remotely store monitoring data, visualize dust heat maps, and push excessive warning information to management personnel.

[0007] Preferably, the dust monitoring module uses multi-sensor dynamic calibration technology, performs real-time error compensation on the raw data of PM2.5 / PM10 sensors, meteorological sensors and noise sensors through machine learning algorithms, and establishes a calibration model to correct the monitoring values ​​in combination with historical data and environmental parameters.

[0008] Preferably, the data fusion processing center has a built-in dust diffusion prediction model, which constructs a three-dimensional simulation algorithm based on fluid mechanics principles, real-time meteorological data and construction activity intensity, predicts the dust pollution range and concentration change trend in the next 30 minutes, and outputs the optimized dust reduction strategy to the execution module.

[0009] Preferably, the intelligent dust reduction execution module includes a graded trigger mechanism. When the PM10 concentration is ≤150μg / m³, only the low-power spray device is activated. When the PM10 concentration is greater than 150μg / m³ and lasts for 5 minutes, the fog cannon and the enclosure spray system are linked to form a three-dimensional dust reduction barrier. When the PM10 concentration is greater than 300μg / m³, the high-pressure fog curtain device at the boundary of the construction area is additionally activated.

[0010] Preferably, the spraying device uses a solar-powered rotating nozzle, whose spraying angle is driven by a servo motor. The horizontal deflection and pitch angles are adjusted in real time according to the GPS positioning data of the dust source. The water spray volume is adjusted according to the PM10 concentration gradient through a solenoid valve, and the nozzle has a built-in self-cleaning needle to prevent clogging.

[0011] Preferably, the monitoring terminal and the execution device of the system transmit data through the LoRa wireless communication module. The communication protocol uses adaptive frequency hopping technology with a coverage radius of ≥500 meters. The terminal device has a built-in low-power chip and can maintain continuous operation for 72 hours through solar cells and backup lithium batteries when there is no external power supply.

[0012] Preferably, the cloud platform integrates dust data with GIS maps to generate a three-dimensional heat map. The heat map marks areas where PM2.5 / PM10 concentrations exceed the standard with color gradients, and displays the operating status of dust reduction equipment, historical data curves and records of exceeding standard events in an associated manner. It supports the retrieval of pollution diffusion simulation animations for any time period through a mobile terminal APP.

[0013] Preferably, the system also includes an audible and visual alarm device, which includes an LED warning screen and a buzzer. When the PM2.5 concentration exceeds 75μg / m³ for 10 consecutive minutes or the PM10 concentration exceeds 150μg / m³ for 10 consecutive minutes, a red flashing warning and intermittent buzzing are triggered, and at the same time, a text message and platform alarm notification containing the location coordinates and the exceeded value are sent to the supervisor via network transmission.

[0014] Preferably, the dust reduction equipment can recycle water resources. The system includes a sedimentation tank, a multi-layer filter screen and a UV sterilization module. The spray wastewater is collected into the sedimentation tank through a diversion trough, stored in a water storage tank after filtration, and returned to the spray pipe network by a booster pump after being tested by a water quality sensor and meeting the standards.

[0015] Preferably, the system is connected to the OBD interface of the construction vehicle through a wireless gateway. When the dust concentration exceeds the standard, the cloud platform sends a speed limit command or a start-up prohibition command to the vehicle ECU until the dust concentration drops back to the safety threshold. The linkage permission needs to be unlocked by the administrator password.

[0016] Beneficial effects of the present invention: 1. The dust monitoring module collects particulate matter concentration, meteorological data and noise indicators in real time. Combined with the dynamic analysis and prediction capabilities of the data fusion processing center, it can accurately identify dust pollution sources and their diffusion trends, and use the intelligent dust reduction execution module to automatically trigger graded dust reduction measures such as spraying and fog cannons. At the same time, remote monitoring and early warning are achieved through cloud platforms and mobile terminals, thus realizing the intelligent linkage of monitoring and dust reduction, solving the problems of delayed response and reliance on manual labor in traditional methods, thereby ensuring that targeted dust reduction measures are immediately triggered when dust exceeds the standard, thereby improving control efficiency.

[0017] 2. Through data fusion and cloud platform management, dust reduction strategies are optimized to avoid water waste, while providing real-time data support for construction environmental protection supervision. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 What is shown is a schematic diagram of the workflow of the present invention. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of the present invention.

[0020] The present invention provides an embodiment: an intelligent dust monitoring and dust reduction control system for urban road construction, comprising: The dust monitoring module includes PM2.5 / PM10 sensors, meteorological sensors, and noise sensors, which are used to collect real-time particle concentration, meteorological data, and noise indicators in the construction area. The meteorological data includes wind speed, wind direction, temperature, and humidity. Data fusion processing center, used for dynamic calibration of monitoring data, elimination of outliers and prediction of dust diffusion trends; Intelligent dust suppression execution module, used to trigger the sprinkler, fog cannon or enclosure spray system according to instructions to achieve graded dust suppression; The cloud platform and mobile terminals are used to remotely store monitoring data, visualize dust heat maps, and push excessive warning information to management personnel.

[0021] Furthermore, the dust monitoring module first collects meteorological data and noise indicators such as PM2.5 / PM10 concentration, wind speed, temperature and humidity in the construction area in real time. Then the data fusion processing center dynamically calibrates, eliminates outliers and conducts comprehensive analysis on multi-source monitoring data to generate dust pollution assessment results. When dust exceeding the standard is detected, the intelligent dust reduction execution module automatically triggers the corresponding level of dust reduction measures according to the degree of pollution, including starting the sprinkler device, linking the fog cannon or the enclosure spray system. At the same time, the cloud platform and mobile terminal store the monitoring data in real time and visualize the dust distribution heat map, and push early warning information to management personnel to realize remote monitoring and management.

[0022] The present invention ensures data accuracy through multi-sensor collaborative monitoring, uses intelligent analysis to achieve early warning of dust pollution, relies on automated execution modules to achieve rapid and accurate dust reduction response, and combines with a cloud platform to achieve full-process intelligent management and control of construction dust, thereby effectively solving the problems of disconnection between monitoring and dust reduction and delayed response in traditional methods, thereby significantly improving the efficiency and accuracy of construction dust control.

[0023] The dust monitoring module uses multi-sensor dynamic calibration technology to perform real-time error compensation on the raw data of PM2.5 / PM10 sensors, meteorological sensors and noise sensors through machine learning algorithms, and combines historical data with environmental parameters to establish a calibration model to correct the monitoring values.

[0024] Furthermore, the PM2.5 / PM10 sensors, meteorological sensors and noise sensors in the dust monitoring module first collect raw environmental data, which are transmitted to the data processing unit in real time. The system then starts the multi-sensor dynamic calibration technology and performs real-time analysis of the raw data through a pre-trained machine learning algorithm. The algorithm establishes an error compensation model based on historical monitoring data, automatically identifies and eliminates sensor drift errors caused by changes in temperature and humidity, and dynamically corrects measurement deviations between different sensors. During the calibration process, the system continuously compares the current data with the predicted value of the calibration model. When abnormal fluctuations are detected, the recalibration program is immediately triggered, and finally the dynamically corrected high-precision monitoring data is output to the subsequent analysis module.

[0025] The data fusion processing center has a built-in dust diffusion prediction model, which constructs a three-dimensional simulation algorithm based on fluid mechanics principles, real-time meteorological data, and construction activity intensity to predict the dust pollution range and concentration change trend in the next 30 minutes, and output the optimized dust reduction strategy to the execution module.

[0026] Furthermore, the data fusion processing center first receives in real time the PM2.5 / PM10 concentration data from the dust monitoring module, the wind speed, wind direction, temperature and humidity data collected by the meteorological sensor, and the machine quantity and operation type information provided by the construction activity monitoring unit. The system's built-in dust diffusion prediction model adopts the improved LES large eddy simulation algorithm. In the preprocessing stage, the monitoring data is first aligned in time and space and outliers are eliminated. The discrete point data is reconstructed into a three-dimensional grid field with a grid resolution of 0.5m×0.5m×0.2m through the Kriging interpolation method. Then, the transient Navier-Stokes equations corrected by the particle phase are solved. The turbulence model adopts the dynamic Smagorinsky subgrid model. The particle coagulation coefficient considering the influence of humidity and the boundary reflection condition based on the local building layout are coupled to the particle transport equation. The model calculation adopts the parallel finite volume method, and the time step of each 30 seconds is 100 seconds. The following iterative process is completed within the timeframe: first, the boundary conditions of the computational domain entrance are updated according to real-time meteorological data; second, the intensity terms of each pollution source are calculated based on the GPS coordinates and working parameters of the construction machinery; third, the flow field control equation is solved to obtain the wind speed vector distribution; fourth, the concentration field evolution is calculated by coupling the particulate matter transport equation; fifth, the dust diffusion path is predicted by a GPU-accelerated particle tracking algorithm; the final output contains a three-dimensional distribution matrix of PM10 concentrations at 5-minute intervals in the next 30 minutes (with an accuracy of ±15%), and the optimal dust reduction strategy is generated through a fuzzy logic-based decision-making algorithm, specifically including: automatically marking grid cells where the predicted concentration exceeds the threshold as priority control areas, matching different dust reduction schemes according to the pollution intensity level, and continuously performing Kalman filtering corrections on the latest observed values ​​and predicted values ​​through data assimilation technology to ensure the reliability of the prediction in the event of sudden meteorological changes or construction plan adjustments.

[0027] The intelligent dust reduction execution module includes a graded trigger mechanism. When the PM10 concentration is ≤150μg / m³, only the low-power spray device is activated. When the PM10 concentration is greater than 150μg / m³ and lasts for 5 minutes, the fog cannon and the enclosure spray system are linked to form a three-dimensional dust reduction barrier. When the PM10 concentration is greater than 300μg / m³, the high-pressure fog curtain device at the boundary of the construction area is additionally activated.

[0028] The spraying device uses a solar-powered rotating nozzle, whose spray angle is driven by a servo motor. The horizontal deflection and pitch angles are adjusted in real time according to the GPS positioning data of the dust source. The water spray volume is adjusted according to the PM10 concentration gradient through a solenoid valve, and the nozzle has a built-in self-cleaning needle to prevent clogging.

[0029] Furthermore, the intelligent dust suppression execution module receives PM10 concentration monitoring data from the data fusion processing center in real time through a high-speed data bus. When it is detected that the PM10 concentration value exceeds the 150μg / m³ threshold for the first time, the system immediately activates the first-level response mechanism. The control module adjusts the opening of the solenoid valve through the PID algorithm, with an opening range of 20%-100%, activating the low-pressure rotary sprinkler network deployed within a 20-meter radius of the pollution source, with an operating pressure of 0.2-0.5MPa, a flow rate of 5-15L / min, and a spray angle automatically adjusted horizontally from 0-180° by a stepper motor based on the dust source positioning data. When the PM10 concentration remains in the range of 150-300μg / m³ for 5 minutes, the system automatically upgrades to the second-level response. While keeping the sprinkler running, it starts the high-pressure fog cannon unit arranged upwind of the construction area. It has a power of 7.5kW and a range of 30-50 meters. Its speed is controlled within the range of 800-1200rpm by a frequency converter, and is linked to the micron-level spray system installed on the construction fence. When the PM10 concentration exceeds the threshold of 300μg / m³, the system immediately triggers a level 3 emergency response. In addition to the full-power operation of the above-mentioned equipment, the high-pressure fog curtain device arranged along the construction boundary is additionally activated. Its working pressure is 1.0-1.5MPa, forming a water mist barrier with a height of 3-5 meters. At the same time, the Internet of Things gateway is used to forcibly reduce the operating intensity of non-essential construction machinery on site. The status data of all executing equipment (including water pressure, flow, working current, etc.) are fed back to the control center in real time to form a closed-loop regulation. When the PM10 concentration falls back to the safety threshold (below 100μg / m³ for 10 consecutive minutes), the system shuts down the equipment in stages in the order of fog curtain first, then fog cannon, and finally spraying.

[0030] The system's monitoring terminal and execution equipment transmit data via the LoRa wireless communication module. The communication protocol uses adaptive frequency hopping technology with a coverage radius of ≥500 meters. The terminal device has a built-in low-power chip and can maintain continuous operation for 72 hours through solar cells and backup lithium batteries when there is no external power supply.

[0031] Furthermore, the sensor nodes distributed at various monitoring points in the construction area package the collected PM2.5 / PM10 concentration, temperature, humidity, and noise data into 128-byte data frames at 1-minute intervals through the integrated LoRa wireless communication module, and transmit them to the centralized gateway node within a range of 500 meters using adaptive frequency hopping technology. After the gateway ensures the integrity of the data through CRC-16 check, it is uploaded to the cloud platform through the 4G network. At the same time, when the control command is issued from the cloud platform, the gateway first converts the TCP / IP protocol data into the LoRaWAN protocol format and sends it to the target execution equipment (including sprinkler devices, Fog cannons, etc.), the LoRa terminal built into each execution device immediately performs AES-128 decryption verification through the hardware encryption chip after receiving the command, executes the corresponding operation after confirming the legitimacy of the command and transmits the status feedback information back along the same path. The system uses the time division multiple access (TDMA) mechanism to coordinate the communication timing of each node. Each monitoring terminal is allocated a fixed time slot (100ms / node). When the signal is blocked by construction machinery, it automatically switches to relay mode and supports up to 3 hops of forwarding. All LoRa devices are solar-powered and equipped with a low-power STM32L4 chip to ensure that they can maintain 72 hours of uninterrupted operation even in continuous rainy weather.

[0032] The cloud platform integrates dust data with GIS maps to generate a three-dimensional heat map. The heat map uses color gradients to mark areas where PM2.5 / PM10 concentrations exceed the standard, and displays the operating status of dust reduction equipment, historical data curves, and records of exceeding standard events. It supports the use of mobile terminal APP to call up pollution diffusion simulation animations for any time period.

[0033] Furthermore, the cloud platform receives PM2.5 / PM10 concentration data, meteorological parameters, and equipment status information from on-site monitoring equipment in real time through a RESTful API interface. After data cleaning and standardization, the spatial interpolation algorithm is used to convert the discrete monitoring point data into a 10m×10m gridded concentration distribution matrix. The 3D visualization engine built based on WebGL technology matches the grid data with the high-precision GIS map, and generates a dynamic dust heat map through a GPU-accelerated rendering pipeline. The heat map uses the HSL color space to define the pollution level, where blue is <75μg / m³, green is 75-150μg / m³, and yellow is 1 50-300μg / m³, red>300μg / m³, the system also integrates BIM model data, and superimposes the construction machinery location, dust reduction equipment working status and real-time video monitoring screen in the 3D view. The historical data is stored in a time series database (sampling interval is 1 minute), which supports querying the concentration change curve at any location by time range (minimum 1 hour, maximum 1 year), and predicts future trends through the LSTM neural network. The mobile terminal APP receives real-time push notifications through the WebSocket protocol. When the user selects a specific area, the pollution diffusion simulation animation of the location in the past 24 hours can be called up.

[0034] The system also includes an audible and visual alarm device, which includes an LED warning screen and a buzzer. When the PM2.5 concentration exceeds 75μg / m³ for 10 consecutive minutes or the PM10 concentration exceeds 150μg / m³ for 10 consecutive minutes, a red flashing alarm and intermittent buzzing sound are triggered, and at the same time, a text message containing the location coordinates and the exceeded value and a platform alarm notification are sent to the supervisor via network transmission.

[0035] The dust reduction equipment can recycle water resources. The system includes a sedimentation tank, a multi-layer filter screen and a UV sterilization module. The spray wastewater is collected into the sedimentation tank through a diversion trough, stored in a water storage tank after filtration, and returned to the spray pipe network by a booster pump after being tested by a water quality sensor and meeting the standards. The recycling rate is ≥80%.

[0036] The system is connected to the OBD interface of the construction vehicle through a wireless gateway. When the dust concentration exceeds the standard, the cloud platform sends a speed limit command or a start-up prohibition command to the vehicle ECU until the dust concentration drops back to the safety threshold. The linkage permission must be unlocked by the administrator password.

[0037] See also Figure 1 , further, the workflow of the present invention is described, specifically: The PM2.5 / PM10 sensors, meteorological sensors and noise sensors in the dust monitoring module collect particulate matter concentration, wind speed, temperature and humidity, and noise data in the construction area in real time, and transmit the monitored data in packets to the data fusion processing center through the LoRa wireless communication module, so as to ensure the real-time and integrity of the data.

[0038] After receiving multi-source monitoring data, the data fusion processing center first performs dynamic calibration and outlier rejection, corrects sensor errors using machine learning algorithms, and then analyzes the current dust situation through a dust diffusion prediction model, predicts the pollution diffusion trend in the next 30 minutes, and generates dust reduction strategy suggestions.

[0039] When the PM10 concentration exceeds the preset threshold, the intelligent dust reduction execution module activates a hierarchical response mechanism according to the pollution level. The first-level response (PM10 ≤ 150 μg / m³) activates the low-pressure spraying device, the second-level response (150 μg / m³ < PM10 ≤ 300 μg / m³)联动雾炮机, the third-level response (PM10 > 300 μg / m³) additionally enables the high-pressure fog curtain device to form a three-dimensional dust reduction barrier.

[0040] The dust reduction equipment automatically adjusts its working parameters according to the control instructions and monitors the equipment status in real time through a closed-loop feedback system, so as to ensure the optimal dust reduction effect and avoid resource waste.

[0041] The cloud platform integrates monitoring data, equipment status and dust reduction records, generates a three-dimensional dust heat map and a pollution diffusion simulation animation, pushes over-standard warning information to the management personnel through the mobile terminal APP, supports remote viewing of historical data trends and real-time control of dust reduction equipment, and realizes the full-process intelligent management and control of construction dust.

[0042] Furthermore, the present invention provides an embodiment for controlling dust in conventional road construction: The PM10 sensors deployed in the construction area collect dust data at an interval of 1 minute, and at the same time, an ultrasonic wind speed meter monitors real-time meteorological parameters. All data are transmitted to the edge computing gateway through the LoRa module. The data fusion center uses the Kalman filter algorithm to eliminate sensor noise. When it is identified that the PM10 concentration exceeds 150 μg / m³ continuously for 3 minutes, the low-pressure rotating spraying device within a radius of 20 meters is immediately activated, with a pressure of 0.3 MPa and a flow rate of 10 L / min. The nozzle automatically adjusts the pitch angle according to the dust source position located by GPS. The cloud platform synchronously generates a heat map showing that the pollution core area is located at the excavator operation point, and pushes a warning to the administrator through the APP. After the administrator remotely retrieves the camera in this area to confirm the dust reduction effect, the system continuously monitors until the PM10 concentration drops below 100 μg / m³ and then automatically closes the spraying.

[0043] Furthermore, the present invention provides an embodiment for emergency response to sudden strong wind weather: When the meteorological sensor detected a sudden increase in wind speed to 8m / s, the dust dispersion model immediately predicted that PM10 levels would exceed the standard within 100 meters downwind of the landfill. The system activated the boundary fog cannon unit 10 minutes in advance to form a protective barrier, and at the same time forced the operation frequency of the yard loader to be reduced to 50%. When the measured PM10 concentration reached 280μg / m³, the high-pressure fog curtain device on the top of the enclosure automatically started to form a vertical water curtain. During this process, the LoRa communication module switched to relay mode due to obstruction by the tower crane, thus ensuring uninterrupted transmission of control commands, and ultimately controlling the PM10 peak at the monitoring point in the downwind residential area to below 190μg / m³.

[0044] Furthermore, the present invention provides an embodiment of a nighttime low power consumption operation mode: During the nighttime hours when there is no construction, the system switches to a low-power state, the PM10 sensor sampling interval is extended to 5 minutes, and only the baseline spray device remains in standby mode. When the noise sensor suddenly detects an 85dB signal from a dump truck entering or exiting, it immediately wakes up the entire system for monitoring. Upon discovering that the local PM10 level has instantaneously risen to 320μg / m³, the directional spray piles in the vehicle channel are preferentially activated. At the same time, the vehicle speed in the area is limited to 10km / h through the OBD interface. All equipment operating data is backed up to the cloud platform via 4G, and an event report is generated showing that this response shortened the pollution duration to 8 minutes.

Claims

1. Intelligent dust monitoring and dust suppression control system for urban road construction, characterized by: Includes: The dust monitoring module includes PM2.5 / PM10 sensors, meteorological sensors, and noise sensors, which are used to collect real-time particle concentration, meteorological data, and noise indicators in the construction area. The meteorological data includes wind speed, wind direction, temperature, and humidity. The data fusion processing center is used to dynamically calibrate the monitoring data, eliminate outliers, predict dust diffusion trends, and generate dust control instructions; Intelligent dust suppression execution module, used to automatically trigger the sprinkler, fog cannon or enclosure spray system according to instructions; The cloud platform and mobile terminals are used to remotely store monitoring data, visualize dust heat maps, and push excessive warning information to management personnel.

2. The intelligent dust monitoring and dust reduction control system for urban road construction according to claim 1 is characterized in that: The dust monitoring module uses multi-sensor dynamic calibration technology to perform real-time error compensation on the raw data of PM2.5 / PM10 sensors, meteorological sensors and noise sensors through machine learning algorithms, and combines historical data with environmental parameters to establish a calibration model to correct the monitoring values.

3. The intelligent dust monitoring and dust reduction control system for urban road construction according to claim 1 is characterized in that: The data fusion processing center has a built-in dust diffusion prediction model, which constructs a three-dimensional simulation algorithm based on fluid mechanics principles, real-time meteorological data, and construction activity intensity to predict the dust pollution range and concentration change trend in the next 30 minutes, and output the optimized dust reduction strategy to the execution module.

4. The intelligent dust monitoring and dust reduction control system for urban road construction according to claim 1 is characterized in that: The intelligent dust reduction execution module includes a graded trigger mechanism. When the PM10 concentration is ≤150μg / m³, only the low-power spray device is activated. When the PM10 concentration is greater than 150μg / m³ and lasts for 5 minutes, the fog cannon and the enclosure spray system are linked to form a three-dimensional dust reduction barrier. When the PM10 concentration is greater than 300μg / m³, the high-pressure fog curtain device at the boundary of the construction area is additionally activated.

5. The intelligent dust monitoring and dust reduction control system for urban road construction according to claim 4 is characterized in that: The spraying device uses a solar-powered rotating nozzle, whose spray angle is driven by a servo motor. The horizontal deflection and pitch angles are adjusted in real time according to the GPS positioning data of the dust source. The water spray volume is adjusted according to the PM10 concentration gradient through a solenoid valve, and the nozzle has a built-in self-cleaning needle to prevent clogging.

6. The intelligent dust monitoring and dust reduction control system for urban road construction according to claim 1 is characterized in that: The system's monitoring terminal and execution equipment transmit data via the LoRa wireless communication module. The communication protocol uses adaptive frequency hopping technology with a coverage radius of ≥500 meters. The terminal device has a built-in low-power chip and can maintain continuous operation for 72 hours through solar cells and backup lithium batteries when there is no external power supply.

7. The intelligent dust monitoring and dust reduction control system for urban road construction according to claim 1 is characterized in that: The cloud platform integrates dust data with GIS maps to generate a three-dimensional heat map. The heat map uses color gradients to mark areas where PM2.5 / PM10 concentrations exceed the standard, and displays the operating status of dust reduction equipment, historical data curves, and records of exceeding standard events. It supports the use of mobile terminal APP to call up pollution diffusion simulation animations for any time period.

8. The intelligent dust monitoring and dust reduction control system for urban road construction according to claim 1 is characterized in that: The system also includes an audible and visual alarm device, which includes an LED warning screen and a buzzer. When the PM2.5 concentration exceeds 75μg / m³ for 10 consecutive minutes or the PM10 concentration exceeds 150μg / m³ for 10 consecutive minutes, a red flashing alarm and intermittent buzzing sound are triggered, and at the same time, a text message containing the location coordinates and the exceeded value and a platform alarm notification are sent to the supervisor via network transmission.

9. The intelligent dust monitoring and dust reduction control system for urban road construction according to claim 1 is characterized in that: The dust reduction equipment can recycle water resources. The system includes a sedimentation tank, a multi-layer filter screen and a UV sterilization module. The spray wastewater is collected into the sedimentation tank through a diversion trough, stored in a water storage tank after filtration, and returned to the spray pipe network by a booster pump after being tested by a water quality sensor and meeting the standards.

10. The intelligent dust monitoring and dust suppression control system for urban road construction according to claims 1-9, characterized in that: The system is connected to the OBD interface of the construction vehicle through a wireless gateway. When the dust concentration exceeds the standard, the cloud platform sends a speed limit command or a start-up prohibition command to the vehicle ECU until the dust concentration drops back to the safety threshold. The linkage permission must be unlocked by the administrator password.

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