Intelligent dust prevention and noise reduction decision support system for climbing frame construction

Abstract

The invention discloses an intelligent climbing frame construction dustproof noise reduction decision support system, and relates to the technical field of construction management, a monitoring module monitors the dust concentration and the noise decibel in real time through sensing equipment arranged on a climbing frame in the construction process, a dust removal equipment control module analyzes the development trend of the dust concentration, and the dust removal equipment control module controls the dust removal equipment control module; the operation duration of the dust removal equipment is dynamically adjusted according to the prediction result of the development trend of the dust concentration, the noise reduction equipment control module analyzes the development trend of the noise decibel, and the operation duration of the noise reduction equipment is dynamically adjusted according to the prediction result of the development trend of the noise decibel. And the decision support module regularly and comprehensively analyzes the dynamic adjustment results of the operation durations of the dust removal equipment and the noise reduction equipment, and then judges whether the construction needs to be optimized and adjusted. The system effectively predicts the development trend of dust and noise in the construction process, so that a control decision can be effectively made, and the dust removal and noise reduction effects are guaranteed while the energy consumption of equipment is reduced.

Description

Technical Field

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

[0002] With the acceleration of urbanization, construction activities are increasing. In 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. In order to deal with the dust and noise pollution generated during construction, a variety of technical means are integrated to achieve real-time monitoring, analysis and feedback of the construction site, providing scientific decision-making support for construction personnel and managers; The prior art has the following defects: The existing system usually monitors the dust and noise in the construction process in real time through the sensor equipment installed on the climbing frame. When the dust concentration and noise decibel exceed the corresponding threshold, the corresponding control decision is generated (such as turning on the 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 the control decision (such as the continuous working time of dust removal equipment and noise reduction equipment). First, it may increase the energy consumption of the equipment and cause waste of resources. Second, it reduces the dust removal and noise reduction effects.

[0003] 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 is possible to make effective control decisions, reduce equipment energy consumption while ensuring dust removal and noise reduction effects. Summary of the invention

[0004] The purpose of the present invention is to provide a dust and noise reduction decision support system for intelligent climbing frame construction to solve the shortcomings of the background technology.

[0005] 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; Monitoring module: During the construction process, the dust concentration and noise decibel 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 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, and the operation time of the noise reduction equipment 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 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.

[0006] In a preferred embodiment, the dust removal equipment control module compares the dust concentration data monitored in real time 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 operation; Obtain the estimated construction duration, air humidity, and dust concentration variation index during the construction process; The estimated construction time, air humidity, and dust concentration variation index are normalized so that the value range of the estimated construction time, air humidity, and dust concentration variation index is mapped to [0,1], and the normalized estimated construction time, air humidity, and dust concentration variation index are comprehensively calculated 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.

[0007] 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 duration of construction.

[0008] 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: , where is the running time after dynamic adjustment. To preset the running time, is the concentration development factor, is the concentration development threshold.

[0009] In a preferred embodiment, the noise reduction equipment 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 equipment is triggered to start, and the estimated construction duration, ambient temperature, and noise decibel variation index during the construction process are obtained; Normalize the estimated construction time, ambient temperature, and noise decibel variation index so that their value ranges are mapped to [0,1], and then 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 decibel. 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.

[0010] 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 duration of construction.

[0011] In a preferred embodiment, 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, and the adjustment algorithm expression is: , where is the running time after dynamic adjustment. To preset the running time, is the decibel development factor, is the decibel development threshold.

[0012] In a preferred embodiment, the decision support module obtains the number of extension adjustment times and the number of shortening adjustment times of the running time of the dust removal equipment and the number of extension adjustment times and the number of shortening adjustment times of the running time of the noise reduction equipment; The overall performance coefficient during construction is obtained through comprehensive calculation, and the expression is: , where is the overall performance coefficient, To extend the operating time of the dust removal equipment, To extend the operating 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 the construction does not need to be optimized and adjusted. If the overall performance coefficient is greater than the performance threshold, it is determined that the construction needs to be optimized and adjusted.

[0013] In the above technical solution, the technical effects and advantages provided by the present invention are: 1. The present invention uses the monitoring module to monitor the dust concentration and noise decibels in real time during the construction process 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 operation time of the dust removal equipment according to the predicted results of the dust concentration development trend. The noise reduction equipment control module analyzes the development trend of the noise decibels and dynamically adjusts the operation time of the noise reduction equipment according to the predicted results of the noise decibel development trend. The system effectively predicts the development trend of dust and noise during the construction process, so as to effectively make control decisions, reduce equipment energy consumption and ensure dust removal and noise reduction effects; 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, 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 the administrator to understand the construction status and optimize the construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0015] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution 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 of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] Example 1: Please refer to Figure 1As 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; Monitoring module: During the construction process, the dust concentration and noise decibel 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 decibel is sent to the noise reduction equipment control module; 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. The dynamic adjustment results of the operation time of the dust removal equipment are sent to the decision support module; 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 result of the noise decibel development trend, and the dynamic adjustment result of the operation time of the noise reduction equipment is sent to the decision support module; 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.

[0018] This application uses the monitoring module to monitor the dust concentration and noise decibels in real time during the construction process 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 operation time of the dust removal equipment according to the predicted results of the dust concentration development trend. The noise reduction equipment control module analyzes the development trend of the noise decibels and dynamically adjusts the operation time of the noise reduction equipment according to the predicted results of the noise decibel development trend. The system can effectively predict the development trend of dust and noise during the construction process, so as to effectively make control decisions, reduce equipment energy consumption and ensure dust removal and noise reduction effects.

[0019] 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.

[0020] The specific working principle of the support system is: 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.

[0021] Embodiment 2: During the construction process, the monitoring module monitors the dust concentration and noise decibel 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 decibel is sent to the noise reduction equipment control module; Dust concentration monitoring: Sensor equipment detects the concentration of dust particles in the air and generates dust concentration data (such as micrograms per cubic meter, µg / m³).

[0022] Noise decibel monitoring: The sensor equipment collects the noise level of the surrounding environment and generates real-time noise decibel data (dB).

[0023] 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.

[0024] Dust concentration data transmission: The dust concentration data is transmitted to the dust removal equipment control module via a wireless network or a wired network.

[0025] Noise decibel data transmission: The noise decibel data is transmitted to the noise reduction device control module to control the noise reduction measures in real time.

[0026] 1) Dust concentration monitoring 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).

[0027] Sensing equipment: Dust concentration is generally monitored by laser dust sensors or light scattering dust sensors. These sensors illuminate the particles in the air with laser or infrared beams, receive the intensity of the scattered light and perform data analysis to determine the concentration of particles in the air.

[0028] Example: On a construction site, a laser dust sensor is installed on a climbing frame to monitor air quality in real time. When the dust concentration exceeds the specified standard value (such as 150 µg / m³), the sensor transmits the concentration data to the dust removal equipment control module via a wireless network, triggering the dust removal equipment to start or increase the dust removal intensity.

[0029] 2) Noise decibel monitoring 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.

[0030] 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.

[0031] Example: At a construction site at night, a sound level meter mounted on a climbing frame records the noise level in real time. If the noise exceeds the specified limit (e.g. 85 dB), the device transmits the data to the noise reduction equipment control module via a wired network, immediately triggering noise reduction measures such as adjusting the machine operating frequency, activating a soundproof cover, or adding a noise barrier.

[0032] 3) Data filtering and calibration Data filtering: Filter the raw data generated by the sensor device to remove environmental interference and random errors of the sensor. For example, if the detection data of the dust sensor shows a sudden abnormal peak, the interference can be eliminated through mean filtering or median filtering.

[0033] Data calibration: Sensing equipment is calibrated regularly to ensure the accuracy of measurement results. For example, dust sensors need to compare data in a standard environment, and noise sensors need to be calibrated regularly using a standard sound pressure source.

[0034] 4) Data transmission 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.

[0035] Noise decibel data transmission: Noise decibel data is generally transmitted to the noise reduction equipment control module through a wired network (such as Ethernet). The module adjusts the noise reduction measures based on real-time data to ensure that construction noise does not exceed the standard.

[0036] 5) Equipment selection and application Examples of dust sensors include the Honeywell HPMA115S0 laser dust sensor, which can accurately detect PM2.5 particle concentrations and is suitable for indoor and outdoor air quality monitoring.

[0037] 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.

[0038] 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 operation time of the dust removal equipment according to the prediction result of the dust concentration development trend. The dynamic adjustment result of the operation time of the dust removal equipment is sent to the decision support module; 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.

[0039] Obtain the estimated construction duration, air humidity, and dust concentration variation index during the construction process; The estimated construction time, air humidity, and dust concentration variation index are normalized so that their value ranges are mapped to [0,1]. 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 duration of construction; 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 showing a decreasing 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 trend and the operating time of the dust removal equipment needs to be extended.

[0040] 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. The adjustment algorithm expression is: , where is the running time after dynamic adjustment. To preset the running time, is the concentration development factor, is the concentration development threshold.

[0041] In the prior art, 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 increase energy consumption (frequent cold start of the equipment) and may cause failure of the dust removal equipment. 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.

[0042] The logic for obtaining the dust concentration variation index is as follows: obtain the dust concentration at multiple time points in the past period of time, calculate the dust concentration mean and dust concentration standard deviation based on the dust concentration at multiple time points, and obtain the dust concentration variation index by dividing the dust concentration mean by the dust concentration standard deviation. The larger the dust concentration variation index, the greater the dust concentration is, indicating that the dust concentration has increased overall during the construction process in the past period of time. Low humidity may cause dust to flutter, while high humidity usually causes dust to settle, resulting in a decrease in concentration.

[0043] When the dust concentration increases, if the construction time is longer, the dust concentration will continue to increase.

[0044] 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 operation time of the noise reduction device according to the prediction result of the noise decibel development trend. The dynamic adjustment result of the operation time of the noise reduction device is sent to the decision support module; The noise reduction device control module compares the noise decibel data monitored in real time by the noise sensor with the preset threshold. If the detected noise decibel exceeds the threshold, the noise reduction device is triggered to start, and the noise reduction device control module immediately sends a signal to start the noise reduction device to reduce the noise level in the surrounding environment.

[0045] Obtain the estimated construction duration, ambient temperature, and noise decibel variation index during the construction process; The estimated construction time, ambient temperature, and noise decibel variation index are normalized so that their value ranges are mapped to [0,1]. 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 duration of construction; When the decibel development factor is large, it indicates that the noise decibel is developing towards an increasing trend. When the decibel development factor is small, it indicates that the noise decibel is developing towards 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 showing 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 showing an increasing trend, and the operating time of the noise reduction equipment needs to be extended.

[0046] 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. To preset the running time, is the decibel development factor, is the decibel development threshold.

[0047] The logic for obtaining the noise decibel variation index is as follows: obtain the noise decibels at multiple time points in the past period of time, calculate the noise decibel mean and the noise decibel standard deviation based on the noise decibels at multiple time points, and divide the noise decibel mean by the noise decibel standard deviation to obtain the noise decibel variation index. The larger the noise decibel variation index, the more the noise decibel has increased overall during the construction process in the past period of time. When the temperature rises: the movement of molecules in the air increases, causing the speed of sound to increase. According to gas dynamics, the speed of sound in air at 20°C is about 343 m / s, while at 0°C it is about 331 m / s. The increase in propagation speed may cause the sound to reach the receiving point faster within a certain distance, thus affecting the perception of noise.

[0048] When the temperature decreases: the speed of sound propagation slows down, which may cause attenuation and delay of sound during propagation.

[0049] High temperature environment: When the temperature is high, the density of the air is low, which reduces the resistance to sound waves during propagation, thereby reducing the attenuation of sound waves and allowing the noise to propagate farther. This may increase the impact of construction noise on the surrounding environment.

[0050] 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.

[0051] When the noise decibel increases, if the construction time is longer, the dust concentration will continue to increase.

[0052] The decision support module regularly analyzes the dynamic adjustment results of the operation time of the dust removal equipment and the noise reduction equipment, determines whether the construction needs to be optimized and adjusted, and generates corresponding decision support based on the judgment results; 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; The overall performance coefficient during construction is obtained through comprehensive calculation, and the expression is: , where is the overall performance coefficient, To extend the operating time of the dust removal equipment, To extend the operating 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 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.

[0053] It is determined that there is no need to optimize the construction. The relevant decision support includes: Continue according to the original construction plan and schedule, and no adjustments are required.

[0054] 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.

[0055] Generate construction status reports to record overall performance coefficients, monitoring data and assessment of current construction status for subsequent review and management.

[0056] 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 factor has not deteriorated.

[0057] Determine the need for optimization and adjustment of construction. Related decision support includes: Initiate corresponding optimization plans based on specific problems (such as excessive noise or high dust concentration), for example, adjust construction technology, equipment operation or construction time.

[0058] Control the opening and adjustment of noise reduction equipment and dust removal equipment, and optimize their operating parameters to reduce noise and dust concentration.

[0059] Based on actual conditions, reallocate construction resources, such as adding personnel, deploying equipment, or introducing new technologies, to improve the overall performance of the construction.

[0060] Develop emergency plans to deal with possible safety hazards or environmental pollution issues and ensure safety and compliance during the construction process.

[0061] It is recommended to conduct an effect evaluation after optimization and adjustment, collect relevant data to determine the effectiveness of the optimization measures, and adjust the strategy in a timely manner.

[0062] If the overall performance coefficient seriously exceeds the threshold, it is necessary to report to the relevant management department or monitoring agency and seek necessary support or advice.

[0063] If the construction has an impact on the surrounding environment, it is recommended to promptly issue a notice to surrounding residents to explain the construction situation and the noise reduction and dust removal measures taken to reduce public concerns.

[0064] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0065] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0066] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. 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 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 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, and the operation time of the noise reduction equipment 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 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.

2. According to claim 1, a dust and noise reduction decision support system for intelligent climbing frame construction is characterized by: The dust removal equipment control module compares the dust concentration data monitored in real time 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; The estimated construction time, air humidity, and dust concentration variation index are normalized so that the value range of the estimated construction time, air humidity, and dust concentration variation index is mapped to [0,1], and the normalized estimated construction time, air humidity, and dust concentration variation index are comprehensively calculated 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. According to claim 2, a dust and noise reduction decision support system for intelligent climbing frame construction 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 duration of construction.

4. According to claim 3, a dust and noise reduction decision support system for intelligent climbing frame construction is characterized in that: 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. The adjustment algorithm expression is: , where is the running time after dynamic adjustment. To preset the running time, is the concentration development factor, is the concentration development threshold.

5. According to claim 4, a dust and noise reduction decision support system for intelligent climbing frame construction is characterized in that: The noise reduction equipment control module monitors the noise decibel data in real time through the noise sensor. If the noise decibel exceeds the threshold, the noise reduction equipment is triggered to start, and the estimated construction time, ambient temperature, and noise decibel variation index during the construction process are obtained; Normalize the estimated construction time, ambient temperature, and noise decibel variation index so that their value ranges are mapped to [0,1], and then 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 decibel. 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. According to claim 5, a dust and noise reduction decision support system for intelligent climbing frame construction is characterized by: The decibel development factor is obtained by comprehensively calculating the normalized estimated construction 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 duration of construction.

7. According to claim 6, a dust and noise reduction decision support system for intelligent climbing frame construction is characterized by: 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. To preset the running time, is the decibel development factor, is the decibel development threshold.

8. According to claim 7, a dust and noise reduction decision support system for intelligent climbing frame construction is characterized by: The decision support module obtains the number of extension adjustment times and the number of shortening adjustment times of the running time of the dust removal equipment and the number of extension adjustment times and the number of shortening adjustment times of the running time of the noise reduction equipment; The overall performance coefficient during construction is obtained through comprehensive calculation, and the expression is: , where is the overall performance coefficient, To extend the operating time of the dust removal equipment, To extend the operating 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 the construction does not need to be optimized and adjusted. If the overall performance coefficient is greater than the performance threshold, it is determined that the construction needs to be optimized and adjusted.

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