A decision support system for dust prevention and noise reduction in intelligent climbing frame construction

Abstract

The present invention discloses a decision support system for dust prevention and noise reduction in intelligent climbing frame construction, which relates to the field of construction management technology. During the construction process, the monitoring module monitors the dust concentration and noise decibels in real time through the sensor equipment installed on the climbing frame. The dust removal equipment control module analyzes the development trend of the dust concentration and dynamically adjusts the operating time of the dust removal equipment based on the predicted result of the dust concentration development trend. The noise reduction equipment control module analyzes the development trend of the noise decibels and dynamically adjusts the operating time of the noise reduction equipment based on the predicted result of the noise decibel development trend. The decision support module regularly comprehensively analyzes the dynamic adjustment results of the operating time of the dust removal equipment and the noise reduction equipment, and determines whether it is necessary to optimize and adjust the construction. By effectively predicting the development trend of dust and noise during the construction process, the system can effectively make control decisions, reduce equipment energy consumption, and ensure dust removal and noise reduction effects.

Description

Technical Field

[0001] The present invention relates to the technical field of construction management, and in particular to a dust prevention and noise reduction decision support system for intelligent climbing frame construction. Background Art

[0002] With the acceleration of urbanization, construction activities are increasing. During the construction of high-rise buildings, dust and noise pollution not only affect the quality of life of residents, but also may cause health problems and environmental damage. To address the dust and noise pollution generated during construction, we integrate multiple technical means to achieve real-time monitoring, analysis and feedback of construction sites, providing scientific decision-making support for construction personnel and managers.

[0003] The existing technology has the following defects:

[0004] Existing systems usually use sensor equipment installed on climbing frames to monitor dust and noise in real time during the construction process. When the dust concentration and noise decibels exceed the corresponding thresholds, corresponding control decisions are generated (such as turning on dust removal equipment, noise reduction equipment, etc.). However, since the system has no prediction of the development trend of dust and noise, this leads to uncertainty in control decisions (such as the continuous working hours of dust removal equipment and noise reduction equipment). First, it may increase equipment energy consumption and cause waste of resources. Second, it may reduce the dust removal and noise reduction effects.

[0005] Based on this, the present invention proposes a dust prevention and noise reduction decision support system for intelligent climbing frame construction. By effectively predicting the development trend of dust and noise during the construction process, it can effectively make control decisions, reduce equipment energy consumption while ensuring dust removal and noise reduction effects. Summary of the Invention

[0006] The purpose of the present invention is to provide a decision support system for dust prevention and noise reduction in intelligent climbing frame construction to solve the shortcomings of background technology.

[0007] In order to achieve the above-mentioned object, the present invention provides the following technical solutions: a decision support system for dust prevention and noise reduction in intelligent climbing frame construction, comprising a monitoring module, a dust removal equipment control module, a noise reduction equipment control module, and a decision support module;

[0008] Monitoring module: During the construction process, the dust concentration and noise decibel level are monitored in real time through the sensor equipment installed on the climbing frame;

[0009] Dust removal equipment control module: When the dust concentration exceeds the concentration threshold, the dust removal equipment is controlled to start, and the development trend of the dust concentration is analyzed. The operation time of the dust removal equipment is dynamically adjusted according to the predicted results of the dust concentration development trend;

[0010] Noise reduction device control module: When the noise decibel exceeds the decibel threshold, the noise reduction device is controlled to start, and the development trend of the noise decibel is analyzed. The operation time of the noise reduction device is dynamically adjusted according to the prediction results of the noise decibel development trend;

[0011] Decision support module: Regularly analyze the dynamic adjustment results of the operating time of dust removal equipment and noise reduction equipment, determine whether the construction needs to be optimized and adjusted, and generate corresponding decision support based on the judgment results.

[0012] In a preferred embodiment, the dust removal equipment control module compares the real-time monitored dust concentration data with a preset concentration threshold, and if the dust concentration exceeds the concentration threshold, triggers the dust removal operation and starts the dust removal equipment;

[0013] Obtain the estimated construction duration, air humidity, and dust concentration variation index during the construction process;

[0014] Normalize the estimated construction time, air humidity, and dust concentration variation index so that their values ​​are mapped to the range [0, 1]. Then, comprehensively calculate the normalized estimated construction time, air humidity, and dust concentration variation index to obtain the concentration development factor.

[0015] The obtained concentration development factor is compared with the preset concentration development threshold. The concentration development threshold is used to judge the development trend of dust concentration. If the concentration development factor is less than or equal to the concentration development threshold, it is judged that the dust concentration is showing a decreasing development trend, and the operating time of the dust removal equipment needs to be shortened. If the concentration development factor is greater than the concentration development threshold, it is judged that the dust concentration is showing an increasing development trend, and the operating time of the dust removal equipment needs to be extended.

[0016] In a preferred embodiment, the normalized estimated construction time, air humidity, and dust concentration variation index are comprehensively calculated to obtain the concentration development factor, which is expressed as follows: , where is the concentration development factor, is the dust concentration variation index, is the air humidity, Estimated construction duration.

[0017] In a preferred embodiment, when it is determined that the running time of the dust removal equipment needs to be shortened or extended, the dust removal equipment control module adjusts the running time of the dust removal equipment, and the adjustment algorithm expression is:

[0018] , where is the running time after dynamic adjustment, For the preset running time, is the concentration development factor, is the concentration development threshold.

[0019] In a preferred embodiment, the noise reduction device control module uses the noise decibel data monitored in real time by the noise sensor. If the noise decibel exceeds a threshold, the noise reduction device is triggered to start, and the estimated construction duration, ambient temperature, and noise decibel variation index during the construction process are obtained;

[0020] Normalize the estimated construction time, ambient temperature, and noise decibel variation index so that their value ranges are mapped to [0, 1]. Then, comprehensively calculate the normalized estimated construction time, ambient temperature, and noise decibel variation index to obtain the decibel development factor.

[0021] The obtained decibel development factor is compared with the preset decibel development threshold. The decibel development threshold is used to judge the development trend of noise decibels. If the decibel development factor is less than or equal to the decibel development threshold, it is judged that the noise decibel is showing a decreasing development trend, and the operating time of the noise reduction equipment needs to be shortened. If the decibel development factor is greater than the decibel development threshold, it is judged that the noise decibel is showing an increasing development trend, and the operating time of the noise reduction equipment needs to be extended.

[0022] In a preferred embodiment, the normalized estimated construction time, ambient temperature, and noise decibel variation index are comprehensively calculated to obtain the decibel development factor, which is expressed as follows: , where is the decibel development factor, is the noise decibel variation index, is the ambient temperature, Estimated construction duration.

[0023] In a preferred embodiment, when it is determined that the operation time of the noise reduction device needs to be shortened or extended, the noise reduction device control module adjusts the operation time of the noise reduction device, and the adjustment algorithm expression is:

[0024] , where is the running time after dynamic adjustment, For the preset running time, is the decibel development factor, is the decibel development threshold.

[0025] In a preferred embodiment, the decision support module obtains the number of extension adjustments and the number of shortening adjustments of the running time of the noise reduction device from the number of extension adjustments and the number of shortening adjustments of the running time of the dust removal device;

[0026] The overall performance coefficient during construction is obtained through comprehensive calculation, and the expression is:

[0027] , where is the overall performance coefficient, To extend the operation time of the dust removal equipment, To extend the operation time of the noise reduction equipment, To shorten the operation time of dust removal equipment and adjust the times, To shorten the operation time of the noise reduction equipment, 、 is the weight coefficient;

[0028] The obtained overall performance coefficient is compared with the preset performance threshold. The performance threshold is used to determine whether the construction needs to be optimized and adjusted. If the overall performance coefficient is less than or equal to the performance threshold, it is determined that no optimization and adjustment is required for the construction. If the overall performance coefficient is greater than the performance threshold, it is determined that optimization and adjustment is required for the construction.

[0029] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0030] 1. During the construction process, the present invention uses a monitoring module to monitor dust concentration and noise decibels in real time through sensors installed on the climbing frame. The dust removal equipment control module analyzes the development trend of dust concentration and dynamically adjusts the operating time of the dust removal equipment based on the predicted results of the dust concentration development trend. The noise reduction equipment control module analyzes the development trend of noise decibels and dynamically adjusts the operating time of the noise reduction equipment based on the predicted results of the noise decibel development trend. By effectively predicting the development trends of dust and noise during the construction process, the system can effectively make control decisions, reduce equipment energy consumption, and ensure dust removal and noise reduction effects.

[0031] 2. The present invention uses a decision support module to regularly analyze the dynamic adjustment results of the operating time of the dust removal equipment and the noise reduction equipment, and then determines whether the construction needs to be optimized and adjusted, and generates corresponding decision support based on the judgment results. It can thus combine the control results of the equipment to comprehensively analyze the dust and noise in the construction process, which is convenient for administrators to understand the construction status and optimize the construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments described in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0033] Figure 1 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0034] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0035] Example 1: Please refer to Figure 1 As shown, the dust prevention and noise reduction decision support system for intelligent climbing frame construction described in this embodiment includes a monitoring module, a dust removal equipment control module, a noise reduction equipment control module, and a decision support module;

[0036] Monitoring module: During the construction process, the dust concentration and noise decibels are monitored in real time through the sensor equipment installed on the climbing frame. The dust concentration is sent to the dust removal equipment control module, and the noise decibels are sent to the noise reduction equipment control module;

[0037] Dust removal equipment control module: When the dust concentration exceeds the concentration threshold, the dust removal equipment is controlled to start, and the development trend of the dust concentration is analyzed. The operating time of the dust removal equipment is dynamically adjusted based on the predicted results of the dust concentration development trend. The dynamic adjustment results of the dust removal equipment operating time are sent to the decision support module;

[0038] Noise reduction equipment control module: When the noise decibel exceeds the decibel threshold, the noise reduction equipment is controlled to start, and the development trend of the noise decibel is analyzed. The operation time of the noise reduction equipment is dynamically adjusted according to the prediction results of the noise decibel development trend. The dynamic adjustment results of the noise reduction equipment operation time are sent to the decision support module;

[0039] Decision support module: Regularly analyze the dynamic adjustment results of the operating time of dust removal equipment and noise reduction equipment, determine whether the construction needs to be optimized and adjusted, and generate corresponding decision support based on the judgment results.

[0040] This application uses a monitoring module to monitor dust concentration and noise decibels in real time during construction using sensors installed on the climbing frame. The dust removal equipment control module analyzes the development trend of dust concentration and dynamically adjusts the operating time of the dust removal equipment based on the predicted results of the dust concentration development trend. The noise reduction equipment control module analyzes the development trend of noise decibels and dynamically adjusts the operating time of the noise reduction equipment based on the predicted results of the noise decibel development trend. By effectively predicting the development trend of dust and noise during construction, the system can effectively make control decisions, reduce equipment energy consumption, and ensure the dust removal and noise reduction effects.

[0041] This application uses a decision support module to regularly analyze the dynamic adjustment results of the operating time of dust removal equipment and noise reduction equipment, determine whether the construction needs to be optimized and adjusted, and generate corresponding decision support based on the judgment results, so that the dust and noise in the construction process can be comprehensively analyzed in combination with the control results of the equipment, which is convenient for administrators to understand the construction status and optimize the construction.

[0042] The specific working principle of the support system is:

[0043] During the construction process, the system monitors the dust concentration and noise decibels in real time through the sensor equipment installed on the climbing frame. When the dust concentration exceeds the concentration threshold, the dust removal equipment is controlled to start, and the development trend of the dust concentration is analyzed. The operating time of the dust removal equipment is dynamically adjusted according to the predicted results of the dust concentration development trend. When the noise decibel exceeds the decibel threshold, the noise reduction equipment is controlled to start, and the development trend of the noise decibel is analyzed. The operating time of the noise reduction equipment is dynamically adjusted according to the predicted results of the noise decibel development trend. After regularly analyzing the dynamic adjustment results of the operating time of the dust removal equipment and the noise reduction equipment, it is determined whether the construction needs to be optimized and adjusted, and corresponding decision support is generated based on the judgment results.

[0044] Example 2: During the construction process, the monitoring module monitors the dust concentration and noise decibels in real time through the sensor equipment installed on the climbing frame. The dust concentration is sent to the dust removal equipment control module, and the noise decibels are sent to the noise reduction equipment control module;

[0045] Dust concentration monitoring: Sensing equipment detects the concentration of dust particles in the air and generates dust concentration data (such as micrograms per cubic meter, µg / m³).

[0046] Noise decibel monitoring: The sensor equipment collects the noise level of the surrounding environment and generates real-time noise decibel data (dB).

[0047] Filter the raw data to remove possible sensor noise and outliers to improve data accuracy. Calibrate the collected dust concentration and noise decibel data to ensure that the data is consistent with the actual situation and reduce measurement errors.

[0048] Dust concentration data transmission: Dust concentration data is transmitted to the dust removal equipment control module via a wireless network or a wired network.

[0049] Noise decibel data transmission: The noise decibel data is transmitted to the noise reduction equipment control module to control the noise reduction measures in real time.

[0050] 1) Dust concentration monitoring

[0051] Monitoring principle: Dust concentration monitoring uses sensors to detect the number of suspended particles in the air and generate dust concentration data, usually in micrograms per cubic meter (µg / m³).

[0052] Sensing equipment: Dust concentration is typically monitored using laser dust sensors or light-scattering dust sensors. These sensors illuminate airborne particles with a laser or infrared beam, receive the intensity of the scattered light, and analyze the data to determine the concentration of airborne particles.

[0053] For example, on a construction site, a laser dust sensor mounted on a climbing frame monitors air quality in real time. When dust concentration exceeds a specified standard (e.g., 150 µg / m³), the sensor transmits this data via a wireless network to the dust removal equipment control module, triggering the dust removal system to turn on or increase its removal efforts.

[0054] 2) Noise decibel monitoring

[0055] Monitoring principle: Noise decibel monitoring equipment measures the sound pressure level in the environment and generates real-time noise decibel data (dB) to evaluate the intensity of the noise.

[0056] Sensing equipment: Noise monitoring generally uses sound level meters or MEMS microphone sensors. These devices can detect the sound pressure in the environment and convert it into a corresponding decibel value.

[0057] For example, at a nighttime construction site, a sound level meter mounted on a climbing frame records noise levels in real time. If the noise exceeds a specified limit (e.g., 85 dB), the device transmits the data via a wired network to the noise reduction equipment control module, triggering immediate noise reduction measures such as adjusting machine operating frequency, activating a soundproofing enclosure, or adding noise barriers.

[0058] 3) Data filtering and calibration

[0059] Data filtering: Filter the raw data generated by the sensor to remove environmental interference and random sensor errors. For example, if a dust sensor's detection data shows a sudden abnormal peak, mean filtering or median filtering can be used to eliminate the interference.

[0060] Data calibration: Sensing equipment must be calibrated regularly to ensure the accuracy of measurement results. For example, dust sensors must be compared with data in a standard environment, and noise sensors must be regularly calibrated using a standard sound pressure source.

[0061] 4) Data transmission

[0062] Dust concentration data transmission: Dust concentration data is sent to the dust removal equipment control module via wireless transmission (such as Wi-Fi or LoRa), so that the system can start or adjust the working intensity of the dust removal equipment in time.

[0063] Noise decibel data transmission: Noise decibel data is typically transmitted via a wired network (such as Ethernet) to the noise reduction equipment control module. This module adjusts noise reduction measures based on real-time data to ensure that construction noise levels do not exceed standards.

[0064] 5) Equipment selection and application

[0065] Examples of dust sensors include the Honeywell HPMA115S0 laser dust sensor, which accurately detects PM2.5 particle concentrations and is suitable for indoor and outdoor air quality monitoring.

[0066] Examples of noise sensors include the Brüel & Kjær 2250 Sound Level Meter, which is used for high-precision environmental noise monitoring and is suitable for construction monitoring in noise-sensitive areas.

[0067] When the dust concentration exceeds the concentration threshold, the dust removal equipment control module controls the dust removal equipment to start, analyzes the development trend of the dust concentration, and dynamically adjusts the operating time of the dust removal equipment based on the predicted results of the dust concentration development trend. The dynamic adjustment results of the dust removal equipment operating time are sent to the decision support module;

[0068] The dust removal equipment control module compares the real-time monitored dust concentration data with the preset concentration threshold. If the dust concentration exceeds the concentration threshold, the dust removal operation is triggered. The dust removal equipment control module immediately sends a signal to start the dust removal equipment to reduce the dust concentration in the air.

[0069] Obtain the estimated construction duration, air humidity, and dust concentration variation index during the construction process;

[0070] Normalize the estimated construction time, air humidity, and dust concentration variation index so that their value ranges are mapped to [0, 1]. Then, comprehensively calculate the normalized estimated construction time, air humidity, and dust concentration variation index to obtain the concentration development factor, which is expressed as follows: , where is the concentration development factor, is the dust concentration variation index, is the air humidity, Estimated duration of construction;

[0071] When the concentration development factor is large, it indicates that the dust concentration is developing in an increasing trend. When the concentration development factor is small, it indicates that the dust concentration is developing in a decreasing trend. The obtained concentration development factor is compared with the preset concentration development threshold. The concentration development threshold is used to judge the development trend of the dust concentration. If the concentration development factor is less than or equal to the concentration development threshold, it is judged that the dust concentration is developing in a decreasing trend, and the operation time of the dust removal equipment needs to be shortened. If the concentration development factor is greater than the concentration development threshold, it is judged that the dust concentration is developing in an increasing trend, and the operation time of the dust removal equipment needs to be extended.

[0072] When it is determined that the operation time of the dust removal equipment needs to be shortened or extended, the dust removal equipment control module adjusts the operation time of the dust removal equipment. The adjustment algorithm expression is:

[0073] , where is the running time after dynamic adjustment, For the preset running time, is the concentration development factor, is the concentration development threshold.

[0074] In the existing technology, the dust removal equipment is usually started when the dust concentration exceeds the concentration threshold, and the dust removal equipment is controlled to stop when the dust concentration is not higher than the concentration threshold. If the dust shows an overall growth trend in the following period of time, frequent starting and stopping of the dust removal equipment will not only increase energy consumption (frequent cold start of the equipment), but also may cause dust removal equipment failure. Therefore, by predicting the development trend of dust concentration and dynamically adjusting the operating time of the dust removal equipment, more accurate decisions can be made.

[0075] The dust concentration variation index is obtained by obtaining the dust concentration at multiple time points over a period of time. Based on these dust concentrations, the dust concentration mean and dust concentration standard deviation are calculated. The dust concentration mean is divided by the dust concentration standard deviation to obtain the dust concentration variation index. A larger dust concentration variation index indicates that the dust concentration has increased overall during construction over the past period of time.

[0076] Low humidity may cause dust to flutter, while high humidity usually causes dust to settle, resulting in a decrease in concentration.

[0077] When the dust concentration increases, the longer the construction time is, the dust concentration will continue to increase.

[0078] When the noise decibel exceeds the decibel threshold, the noise reduction device control module controls the noise reduction device to start, analyzes the development trend of the noise decibel, and dynamically adjusts the operating time of the noise reduction device based on the predicted result of the noise decibel development trend. The dynamic adjustment result of the noise reduction device operating time is sent to the decision support module;

[0079] The noise reduction device control module compares the noise decibel data monitored in real time by the noise sensor with a preset threshold. If the detected noise decibel exceeds the threshold, the noise reduction device is triggered and the noise reduction device control module immediately sends a signal to activate the noise reduction device to reduce the noise level in the surrounding environment.

[0080] Obtain the estimated construction duration, ambient temperature, and noise decibel variation index during the construction process;

[0081] Normalize the estimated construction time, ambient temperature, and noise decibel variation index so that their value ranges are mapped to [0, 1]. Then, comprehensively calculate the normalized estimated construction time, ambient temperature, and noise decibel variation index to obtain the decibel development factor, which is expressed as follows: , where is the decibel development factor, is the noise decibel variation index, is the ambient temperature, Estimated duration of construction;

[0082] When the decibel development factor is large, it indicates that the noise decibel is developing in an increasing trend. When the decibel development factor is small, it indicates that the noise decibel is developing in a decreasing trend. The obtained decibel development factor is compared with the preset decibel development threshold. The decibel development threshold is used to judge the development trend of the noise decibel. If the decibel development factor is less than or equal to the decibel development threshold, it is judged that the noise decibel is developing in a decreasing trend, and the operating time of the noise reduction equipment needs to be shortened. If the decibel development factor is greater than the decibel development threshold, it is judged that the noise decibel is developing in an increasing trend, and the operating time of the noise reduction equipment needs to be extended.

[0083] When it is determined that the running time of the noise reduction device needs to be shortened or extended, the noise reduction device control module adjusts the running time of the noise reduction device. The adjustment algorithm expression is:

[0084] , where is the running time after dynamic adjustment, For the preset running time, is the decibel development factor, is the decibel development threshold.

[0085] The logic for obtaining the noise decibel variation index is as follows: obtain the noise decibels at multiple time points over a period of time, calculate the noise decibel mean and noise decibel standard deviation based on the noise decibels at these multiple time points, and then divide the noise decibel mean by the noise decibel standard deviation to obtain the noise decibel variation index. A larger noise decibel variation index indicates an overall increase in noise decibels during construction over the past period of time.

[0086] When the temperature rises: Molecular motion in the air increases, causing the speed of sound to increase. Based on gas dynamics, the speed of sound in air at 20°C is approximately 343 m / s, while at 0°C it is approximately 331 m / s. This increase in propagation speed can cause sound to reach the receiving point more quickly within a given distance, thus affecting the perception of noise.

[0087] When the temperature drops: the speed of sound propagation slows down, which may cause attenuation and delay of sound during propagation.

[0088] High-temperature environments: When the temperature is high, the air density is low, which reduces the resistance to sound waves during propagation, thereby reducing sound wave attenuation and allowing noise to travel further. This can increase the impact of construction noise on the surrounding environment.

[0089] Low temperature environment: When the temperature is low, the density of the air increases, and the resistance encountered during the propagation of sound waves increases, causing the sound waves to attenuate faster. The noise may not be able to propagate as far, and the impact range is smaller.

[0090] When the noise decibel increases, the longer the construction time, the dust concentration will continue to increase.

[0091] The decision support module regularly analyzes the dynamic adjustment results of the operation time of dust removal equipment and noise reduction equipment, determines whether construction needs to be optimized and adjusted, and generates corresponding decision support based on the judgment results;

[0092] The decision support module obtains the number of times the running time of the dust removal equipment is extended and shortened, and the number of times the running time of the noise reduction equipment is extended and shortened;

[0093] The overall performance coefficient during construction is obtained through comprehensive calculation, and the expression is:

[0094] , where is the overall performance coefficient, To extend the operation time of the dust removal equipment, To extend the operation time of the noise reduction equipment, To shorten the operation time of dust removal equipment and adjust the times, To shorten the operation time of the noise reduction equipment, 、 is the weight coefficient;

[0095] The smaller the overall performance coefficient, the more the dust and noise in the construction tend to decrease overall. The obtained overall performance coefficient is compared with the preset performance threshold. The performance threshold is used to determine whether the construction needs to be optimized and adjusted. If the overall performance coefficient is less than or equal to the performance threshold, it is determined that no optimization and adjustment is required for the construction. If the overall performance coefficient is greater than the performance threshold, it is determined that the construction needs to be optimized and adjusted.

[0096] If it is determined that no optimization or adjustment is needed for the construction, the relevant decision support includes:

[0097] Continue according to the original construction plan and schedule, and no adjustments are required.

[0098] It is recommended to continue to monitor relevant parameters (such as dust concentration, noise decibels, meteorological conditions, etc.) in real time to ensure that the construction process remains within a safe and compliant range.

[0099] Generate construction status reports to record overall performance coefficients, monitoring data, and assessments of current construction conditions for subsequent review and management.

[0100] It is recommended to set up regular evaluation points so that re-checks can be carried out in the future to ensure that the overall performance coefficient has not deteriorated.

[0101] Determine whether construction needs to be optimized and adjusted. Related decision support includes:

[0102] Based on specific issues (such as excessive noise or high dust concentration), corresponding optimization plans are initiated. For example, adjustments to construction technology, equipment operation, or construction time are made.

[0103] Control the opening and adjustment of noise reduction equipment and dust removal equipment, and optimize their operating parameters to reduce noise and dust concentration.

[0104] Based on actual conditions, reallocate construction resources, such as adding personnel, redeploying equipment, or introducing new technologies, to improve the overall performance of construction.

[0105] Develop emergency plans to address potential safety hazards or environmental pollution issues and ensure safety and compliance during the construction process.

[0106] It is recommended to conduct an effect evaluation after optimization and adjustment, collect relevant data to judge the effectiveness of the optimization measures, and adjust the strategy in a timely manner.

[0107] If the overall performance coefficient seriously exceeds the threshold, it must be reported to the relevant management department or monitoring agency and necessary support or advice must be sought.

[0108] If the construction has an impact on the surrounding environment, it is recommended to promptly issue a notice to surrounding residents, explaining the construction situation and the noise reduction and dust removal measures taken to reduce public concerns.

[0109] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0110] Throughout this specification, references to terms such as "one embodiment," "example," or "specific example" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0111] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A dust and noise reduction decision support system for intelligent climbing frame construction, characterized by: Including monitoring module, dust removal equipment control module, noise reduction equipment control module, and decision support module; Monitoring module: During the construction process, the dust concentration and noise decibel level are monitored in real time through the sensor equipment installed on the climbing frame; Dust removal equipment control module: When the dust concentration exceeds the concentration threshold, the dust removal equipment is controlled to start, and the development trend of the dust concentration is analyzed. The operation time of the dust removal equipment is dynamically adjusted according to the predicted results of the dust concentration development trend; Noise reduction device control module: When the noise decibel exceeds the decibel threshold, the noise reduction device is controlled to start, and the development trend of the noise decibel is analyzed. The operation time of the noise reduction device is dynamically adjusted according to the prediction results of the noise decibel development trend; Decision support module: Regularly analyze the dynamic adjustment results of the operation time of dust removal equipment and noise reduction equipment, determine whether construction needs to be optimized and adjusted, and generate corresponding decision support based on the judgment results; After obtaining the concentration development factor, the operation time of the dust removal equipment is judged based on the concentration development factor whether it is necessary to adjust the operation time of the dust removal equipment. After obtaining the decibel development factor, the noise reduction equipment control module judges based on the decibel development factor whether it is necessary to adjust the operation time of the noise reduction equipment. The decision support module judges whether it is necessary to optimize the construction according to the adjustment results of the operation time of the dust removal equipment and the operation time of the noise reduction equipment; The decision support module obtains the number of extension adjustments and the number of reduction adjustments of the running time of the noise reduction device based on the number of extension adjustments and the number of reduction adjustments of the running time of the dust removal device; The overall performance coefficient during construction is obtained through comprehensive calculation, and the expression is: , where is the overall performance coefficient, To extend the operation time of the dust removal equipment, To extend the operation time of the noise reduction equipment, To shorten the operation time of dust removal equipment and adjust the times, To shorten the operation time of the noise reduction equipment, 、 is the weight coefficient; The obtained overall performance coefficient is compared with the preset performance threshold. The performance threshold is used to determine whether the construction needs to be optimized and adjusted. If the overall performance coefficient is less than or equal to the performance threshold, it is determined that no optimization and adjustment is required for the construction. If the overall performance coefficient is greater than the performance threshold, it is determined that optimization and adjustment is required for the construction.

2. The intelligent climbing frame construction dust prevention and noise reduction decision support system according to claim 1 is characterized by: The dust removal equipment control module compares the real-time monitored dust concentration data with a preset concentration threshold. If the dust concentration exceeds the concentration threshold, the dust removal operation is triggered and the dust removal equipment is started. Obtain the estimated construction duration, air humidity, and dust concentration variation index during the construction process; Normalize the estimated construction time, air humidity, and dust concentration variation index so that their values ​​are mapped to the range [0, 1]. Then, comprehensively calculate the normalized estimated construction time, air humidity, and dust concentration variation index to obtain the concentration development factor. The obtained concentration development factor is compared with the preset concentration development threshold. The concentration development threshold is used to judge the development trend of dust concentration. If the concentration development factor is less than or equal to the concentration development threshold, it is judged that the dust concentration is showing a decreasing development trend, and the operating time of the dust removal equipment needs to be shortened. If the concentration development factor is greater than the concentration development threshold, it is judged that the dust concentration is showing an increasing development trend, and the operating time of the dust removal equipment needs to be extended.

3. The intelligent climbing frame construction dust prevention and noise reduction decision support system according to claim 2 is characterized by: The normalized estimated construction time, air humidity, and dust concentration variation index are comprehensively calculated to obtain the concentration development factor, which is expressed as follows: , where is the concentration development factor, is the dust concentration variation index, is the air humidity, Estimated construction duration.

4. The intelligent climbing frame construction dust prevention and noise reduction decision support system according to claim 3 is characterized by: When it is determined that the operation time of the dust removal equipment needs to be shortened or extended, the dust removal equipment control module adjusts the operation time of the dust removal equipment. The adjustment algorithm expression is: Where, is the running time after dynamic adjustment, For the preset running time, is the concentration development factor, is the concentration development threshold.

5. The intelligent climbing frame construction dust prevention and noise reduction decision support system according to claim 4 is characterized by: The noise reduction equipment control module uses the noise decibel data monitored in real time by the noise sensor to trigger the start of the noise reduction equipment if the noise decibel exceeds the threshold, and obtains the estimated construction time, ambient temperature, and noise decibel variation index during the construction process; Normalize the estimated construction time, ambient temperature, and noise decibel variation index so that their value ranges are mapped to [0, 1]. Then, comprehensively calculate the normalized estimated construction time, ambient temperature, and noise decibel variation index to obtain the decibel development factor. The obtained decibel development factor is compared with the preset decibel development threshold. The decibel development threshold is used to judge the development trend of noise decibels. If the decibel development factor is less than or equal to the decibel development threshold, it is judged that the noise decibel is showing a decreasing development trend, and the operating time of the noise reduction equipment needs to be shortened. If the decibel development factor is greater than the decibel development threshold, it is judged that the noise decibel is showing an increasing development trend, and the operating time of the noise reduction equipment needs to be extended.

6. The intelligent climbing frame construction dust prevention and noise reduction decision support system according to claim 5, characterized in that: The decibel development factor is obtained by comprehensively calculating the normalized construction estimated time, ambient temperature, and noise decibel variation index. The expression is: , where is the decibel development factor, is the noise decibel variation index, is the ambient temperature, Estimated construction duration.

7. The intelligent climbing frame construction dust prevention and noise reduction decision support system according to claim 6, characterized in that: When it is determined that the running time of the noise reduction device needs to be shortened or extended, the noise reduction device control module adjusts the running time of the noise reduction device. The adjustment algorithm expression is: Where, is the running time after dynamic adjustment, For the preset running time, is the decibel development factor, is the decibel development threshold.

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