Energy-saving dust fall control system for building construction

Abstract

The invention relates to the technical field of construction site dust fall, in particular to a building construction energy-saving dust fall control system which comprises a zone control module, an environment obtaining module and a master control module, the zone control module is used for controlling the spraying intensity in each dust fall module, and the environment obtaining module is used for obtaining the environment. The environment obtaining module is used for obtaining current environment parameters, and the current environment parameters comprise the wind direction, the humidity, the dust raising amount and the rainfall amount; the master control module calculates working parameters of each subarea control module based on the current environment parameters and a preset calculation model, and the subarea control modules control the dust falling modules in the corresponding areas to work based on the working parameters calculated by the master control module; through real-time acquisition and intelligent analysis of multi-dimensional environmental parameters, accurate regulation and control of the spraying intensity are realized, the dust falling efficiency is effectively improved, and resource waste is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of dust control on construction sites, and in particular to an energy-saving dust control system for construction sites. BACKGROUND

[0002] During the construction process, a large amount of dust is generated, which not only causes serious pollution to the air quality of the construction site and the surrounding area, endangers the health of the construction personnel and the surrounding residents, but also may cause environmental problems such as haze, and does not meet the increasingly stringent environmental protection regulations of the country.

[0003] At present, the common dust control measures for construction sites mainly include manual watering, fog cannon spraying, tower crane spraying, and fence spraying. However, the existing technology has the following disadvantages: low degree of intelligence: it mainly relies on manual operation or simple timing control, and cannot dynamically adjust the dust control operation according to the actual dust concentration, meteorological conditions (such as wind power and wind direction) and other factors, resulting in untimely or excessive dust control. Energy and water resources are wasted seriously: due to the extensive control method, the dust control equipment is often in a continuous running or unnecessary running state, causing a large waste of water resources and electric energy, which does not meet the development trend of energy saving and consumption reduction. Lack of coordinated control: various dust control equipment often works independently and cannot form linkage and cooperation, making it difficult to achieve full-range and precise dust control coverage of the construction site. Therefore, the present application provides an energy-saving dust control system for construction sites. SUMMARY

[0004] The present application aims to provide an energy-saving dust control system for construction sites to solve the problem of poor energy saving of the current dust control system for construction sites.

[0005] To achieve the above-mentioned purpose, the present application provides the following technical solutions:

[0006] An energy-saving dust control system for construction sites is used to control the operation of dust control devices on construction sites, wherein the dust control devices are composed of dust control modules responsible for different areas, and the control system comprises:

[0007] A partition control module is used to control the spraying intensity in each dust control module.

[0008] An environment acquisition module is used to acquire current environmental parameters, including wind direction, humidity, dust amount, and rainfall.

[0009] A master control module is used to calculate the working parameters of each partition control module based on the current environmental parameters and a preset calculation model, and the partition control module controls the operation of the dust control module in the corresponding area based on the working parameters calculated by the master control module.

[0010] Preferably, the calculation model calculates the spraying intensity of each dust control device based on formula (1):

[0011] P i =P α (K1×F+K2×H+K3×C+K4×R)×α; formula (1)

[0012] Among them, P i P represents the operating power of the i-th dust suppression module. α K1 is the base power of the dust suppression module; K2 is the wind direction weight, where F is the quantified value of the wind direction, based on the wind direction and the location of the corresponding dust suppression module; K3 is the humidity weight, where H is the quantified value of humidity; K4 is the dust emission weight, where C is the quantified value of dust emission; K5 is the rainfall weight, where R is the quantified value of rainfall; α is the power correction coefficient; the sum of K1-K4 is 1.

[0013] Furthermore, when the rainfall exceeds a preset value, the main control module shuts down the corresponding dust suppression module through each zone control module.

[0014] Furthermore, the wind direction value is quantified based on the relative position of the dust suppression module and the construction area. The relative position of the dust suppression module and the construction area is divided into upwind side, crosswind side, and downwind side, with the quantified values ​​decreasing sequentially.

[0015] Furthermore, when quantifying humidity, the higher the humidity, the smaller the quantified value.

[0016] Furthermore, the initial value of α is set according to the functional division of different areas of the construction site. The closer the dust suppression module is to the dust-generating area, the larger the value of α.

[0017] Furthermore, when determining the value of α, the value of α is increased for areas with strict dust control requirements and decreased for areas with lower dust control requirements, depending on the surrounding environment of the construction site.

[0018] Furthermore, during the dust suppression process, the value of α is dynamically updated according to the construction stage. Specifically, the relative position changes of the dust suppression module and the construction area within the construction site are obtained based on the construction progress, and the value of α is corrected in combination with the current construction activity type.

[0019] Furthermore, based on changes in real-time dust concentration monitoring data, during the operation of the dust suppression module, if dust continues to increase, the α value is gradually increased to enhance the spray intensity until the dust concentration is controlled; if the dust concentration continues to decrease and stabilizes below the threshold, the α value is gradually decreased.

[0020] Furthermore, the overall control module also has a built-in self-learning optimization module, which optimizes the set values ​​of each weight coefficient K1-K4 and α based on historical data.

[0021] In summary, the present invention has the following advantages compared with the prior art:

[0022] The energy-saving dust suppression control system for building construction disclosed in this invention achieves precise control of spray intensity through real-time acquisition and intelligent analysis of multi-dimensional environmental parameters, effectively improving dust suppression efficiency and reducing resource waste. Attached Figure Description

[0023] Figure 1 This is a system architecture diagram of the building construction energy-saving dust control system disclosed in Embodiment 1 of the present invention.

[0024] Figure 2 This is a control flowchart of the building construction energy-saving dust reduction control system disclosed in Embodiment 1 of the present invention.

[0025] Figure 3 This is a flowchart illustrating the steps of the optimization method in the self-learning optimization module of the building construction energy-saving dust control system disclosed in Embodiment 2 of the present invention.

[0026] Figure 4 This is a flowchart illustrating the steps of training samples in the self-learning optimization module of the building construction energy-saving dust control system disclosed in Embodiment 2 of the present invention.

[0027] Figure label:

[0028] 10. Central control module; 20. Zone control module; 30. Environment acquisition module. Detailed Implementation

[0029] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0030] Example 1

[0031] Figure 1 and Figure 2As shown, an embodiment of the present invention provides an energy-saving dust suppression control system for building construction, used to control the operation of dust suppression devices at construction sites. The dust suppression devices consist of dust suppression modules responsible for different areas. The control system includes a zone control module 20, an environment acquisition module 30, and a central control module 10. The zone control module 20 is used to control the spray intensity within each dust suppression module. The environment acquisition module 30 is used to acquire current environmental parameters, including wind direction, humidity, dust volume, and rainfall. The central control module 10 calculates the operating parameters of each zone control module 20 based on the current environmental parameters and a preset calculation model. The zone control modules 20 control the operation of the dust suppression modules in their corresponding areas based on the operating parameters calculated by the central control module 10.

[0032] In this embodiment, during the dust suppression process, the environmental acquisition module collects environmental parameters in real time and transmits the data to the central control module 10. The central control module 10 dynamically adjusts the operating parameters of each zone control module 20 according to a preset algorithm, so that the dust suppression modules in each zone produce different spray intensities. This reduces ineffective spraying while ensuring the dust suppression effect, thereby reducing water and energy consumption. This achieves the goal of energy saving.

[0033] The energy-saving dust suppression control system for building construction disclosed in this invention achieves precise control of spray intensity through real-time acquisition and intelligent analysis of multi-dimensional environmental parameters, effectively improving dust suppression efficiency and reducing resource waste.

[0034] Specifically, in this embodiment, the dust suppression module is one or more combinations of existing technologies such as spray barriers, fog cannons, and spray towers. Each dust suppression module is set along the edge of the construction site and the spray area, forming a multi-point coordinated three-dimensional dust suppression network. When controlling the dust suppression module's operation, the spray pressure and flow rate are adjusted by controlling the start / stop and speed of the water pumps, achieving on-demand spraying in different areas. In this embodiment, the spray barrier consists of four independent areas: due east, due south, due west, and due north. Each area's spray barrier is equipped with an independent water pump and control valve, which are individually adjusted by the zone control module 20. The fog cannon is deployed at the construction location to suppress dust in high-dust areas. Its spray direction and intensity are dynamically adjusted according to wind direction and dust concentration to ensure precise coverage of the work surface. The spray tower is located at the highest point of the construction site, responsible for large-scale dust suppression. Its start / stop is determined by the central control module 10 based on humidity and rainfall data to avoid accidental activation during rainfall periods.

[0035] The zone control module 20 is a speed controller for the water pump. It receives instructions from the main control module 10 to adjust the output power, thereby controlling the spray intensity. Each zone operates independently, and the start and stop areas are adjusted according to the real-time wind direction to avoid water mist scattering and waste caused by spraying against the wind. When the environmental acquisition module 30 detects a sudden increase in dust in a certain area, the main control module 10 prioritizes increasing the speed of the water pump in that area to enhance the local dust reduction capability. At the same time, it combines humidity data to prevent over-humidification, ensuring energy saving and high efficiency.

[0036] The central control module 10 is an industrial-grade controller, such as a PCL controller, which has a built-in high-performance processor. It is responsible for receiving real-time data transmitted by the environment acquisition module 30, analyzing parameters such as wind direction, humidity, dust volume, and rainfall through a preset calculation model, and generating control parameters for each zone control module 20. The central control module 10 supports multi-threaded parallel computing and can handle the dynamic needs of multiple zones simultaneously.

[0037] It should be noted that the central control module 10 also obtains real-time construction dynamics through the work plan database of the construction site to obtain the work status and equipment operation information of the construction area.

[0038] In this embodiment, the central control module 10 calculates the control parameters of each partition control module 20 based on weighted calculation, wherein the weighting formula is shown in formula (1):

[0039] P i =P α (K1×F+K2×H+K3×C+K4×R)×α; formula (1)

[0040] Among them, P i P represents the operating power of the i-th dust suppression module. α K1 is the base power of the dust suppression module; K2 is the wind direction weight, where F is the quantified value of the wind direction, based on the wind direction and the location of the corresponding dust suppression module; K3 is the humidity weight, where H is the quantified value of humidity; K4 is the dust emission weight, where C is the quantified value of dust emission; K5 is the rainfall weight, where R is the quantified value of rainfall; α is the power correction coefficient; the sum of K1-K4 is 1.

[0041] Specifically, in this embodiment, K1 is the wind direction weight, with a value of 0.15. The quantified value of wind direction F is based on the wind direction and the location of the corresponding dust suppression module. The dust suppression module located on the upwind side of the dust-generating area has a value of 1, the dust suppression module located on the leeward side of the construction area has a value of 0.4, and the dust suppression module located on the crosswind side has a value of 0.7. The spray generated by the dust suppression module located on the upwind side can effectively cover the construction area after being carried by the wind, preventing dust from spreading. However, the spray from the leeward side module is easily blown away from the construction area by the wind, contributing less to the dust suppression effect, so it is assigned a smaller value. However, since the leeward side module can still help suppress dust spread under certain wind direction conditions, a certain value is retained to maintain the flexibility of system control. The dust suppression module on the crosswind side has some effective coverage capability and needs to suppress dust from spreading to the side, so a middle value is taken to ensure that the spraying strategy for each area is scientific and reasonable. The wind direction is calculated by a wind direction sensor.

[0042] K2 is the humidity weight, with a value of 0.2. H is the quantitative value of ambient humidity. When the humidity is less than or equal to 40%, it indicates a dry environment, which is prone to dust, and H is 1.0; when the humidity is 41%-60%, it is considered a suitable humidity range with moderate dust suppression requirements, and H is 0.7; when the humidity is 61%-80%, it is considered a humid environment, and H is 0.4; when the humidity is greater than 80%, it is considered a high-humidity environment, and H is 0.1, to avoid localized excessive moisture that could cause muddy ground or damp equipment. The humidity is measured using a hygrometer.

[0043] K3 represents the weighting of dust emission, with a value of 0.4. Dust emission is the core influencing factor; when dust emission is high, the spray intensity needs to be increased, and when dust emission is low, the spray intensity needs to be decreased. C uses PM10 concentration as the quantification value, where PM10 concentration > 0.5 mg / m³. 3 At that time, C is taken as 1; PM10 concentration is 0.3-0.5 mg / m³. 3 C is taken as 0.7; PM10 concentration is 0.1-0.3 mg / m³ 3 When C is 0.4; PM10 concentration < 0.1 mg / m³ 3 When C is set to 0.1, the dust emission is measured by an online dust monitoring instrument. In this embodiment, for example, a laser scattering type online dust monitoring instrument deployed at the construction site is used to measure the dust emission in the construction area.

[0044] K4 is the rainfall weight, with a value of 0.25. R is the quantitative value of rainfall. When the hourly rainfall is 0 mm, it is considered a rainless state, and the value is 0.6. When the hourly rainfall is 0.1-5 mm, the value of R is 0.4. When the hourly rainfall is 5.1-15 mm, the value of R is 0.2.

[0045] It should be noted that when the hourly rainfall exceeds 15mm, the heavy rainfall is sufficient to effectively suppress dust, so there is no need to activate the spray system to avoid wasting resources and prevent excessive water accumulation on the ground. The rainfall amount is obtained in real time through a rain sensor.

[0046] The value of α is dynamically adapted based on the regional dust risk level, the necessity of coverage, and the degree of environmental sensitivity. The higher the dust risk level, the larger the value of α, and the more power is needed to strengthen control; the lower the risk, the smaller the value of α, and the more power is reduced to achieve energy saving. The initial value of α is set according to the functional division of different areas of the construction site. In this embodiment, the construction site is divided into core construction area, general operation area and non-operation area. The core construction area refers to the area where high dust operations are being carried out (such as earthwork excavation area, slag loading and unloading point, concrete mixing area). This type of area is the main source of dust and dust is continuously generated. The equipment needs to cover it with a higher power dust suppression module to ensure that the dust is suppressed at the source. The initial value of α is set to 1.2. The general operation area refers to the area where high dust operations are being carried out (such as earthwork excavation area, slag loading and unloading point, concrete mixing area). This type of area is the main source of dust and dust is continuously generated. The equipment needs to cover it with a higher power to ensure that the dust is suppressed at the source. The initial value of α is set to 1.0. The non-operation area refers to the area where there is no construction activity or only low dust operation (such as office area, material storage area). The amount of dust generated in this type of area is small. The spray intensity can be appropriately reduced to save resources. The initial value of α is set to 0.8.

[0047] Preferably, if the construction area is close to a sensitive target requiring special protection (such as a residential area, school, or hospital), even if it belongs to a "general work area," α needs to be slightly adjusted upwards (e.g., 1.0 → 1.1) to reduce the risk of dust spillage by increasing power. Conversely, for edge areas far from sensitive targets, α can be slightly adjusted downwards (e.g., 0.8 → 0.7). For example, if there is a residential area (sensitive target) 30 meters east of the construction site, the α value of the eastern fence spray needs to be increased from 1.0 (general work area) to 1.1 to ensure stronger interception of dust spreading towards the residential area; while for the western edge area far from sensitive targets, the α value of the western fence spray can be reduced to 0.7.

[0048] Preferably, in some areas where the actual coverage efficiency of dust suppression equipment is low due to terrain or equipment layout limitations (such as work surfaces obstructed by tall scaffolding or areas at the edge of the equipment's range), the insufficient coverage is compensated for by increasing the α value; areas with high coverage efficiency (such as directly in front of the equipment or unobstructed areas) do not require compensation. For example, if a tower crane sprinkler system has a coverage efficiency of 90% (α = 1.0) for the work area directly below it, but only 60% for a corner 30 meters diagonally below, then the α value for the tower crane sprinkler at that corner is increased to 1.1-1.2, expanding the effective coverage range by increasing the power.

[0049] In this preferred embodiment, the value of α is dynamically updated according to the construction stage. Since the dust risk area of ​​the construction site changes with the construction stage (e.g., the core area in the earthwork stage is the excavation face, and the core area in the main structure stage is the material storage area), the value of α is updated synchronously to avoid "over-control of old areas and insufficient control of new areas." Simultaneously, as the construction progresses, the relative positions of the construction areas and dust suppression modules within the construction site change, and the relationship between the dust suppression modules and the construction areas is updated accordingly. For example, after the project moves from the earthwork stage (core area is plot A) to the main structure stage (core area becomes plot B), the α value of plot A decreases from 1.2 to 1.0 (becoming a general work area), while the α value of plot B increases from 1.0 to 1.2 (becoming a core construction area).

[0050] It should be noted that the value of α varies depending on the type of construction. For construction types with high dust levels, such as earthwork excavation, concrete pouring, and material cutting, the value of α is increased to enhance dust suppression. For construction types with lower dust levels, such as equipment installation and wall painting, the value of α is decreased to reduce energy and water consumption. For example, during concrete cutting operations, the α value is increased from the conventional 1.0 to 1.3 to enhance the dust suppression effect of spraying; while in subsequent pipeline installation operations, the α value can be reduced to 0.8 to maintain basic dust control. Through dynamic matching of construction type and stage, precise control of dust suppression parameters can be achieved.

[0051] Preferably, in this embodiment, the central control module 10 dynamically adjusts the operating power of the dust suppression equipment in each area based on real-time dust concentration monitoring data of each construction area and a preset α value, thereby achieving precise dust suppression. During the operation of the dust suppression module, if dust continues to increase, the α value is gradually increased to enhance the spray intensity until the dust concentration is controlled; if the dust concentration continues to decrease and stabilizes below the threshold, the α value is gradually decreased to save resources and avoid over-spraying. This adjustment process responds at a frequency of minutes, ensuring a dynamic balance between dust suppression efficiency and energy consumption.

[0052] In this embodiment, the environmental acquisition module 30 includes multiple distributed sensor nodes, including wind direction sensors, temperature and humidity sensors, online dust monitors, and rainfall sensors. These sensor nodes are deployed in key areas of the construction site, such as the upwind side, the work surface, and the perimeter of the perimeter fencing, to collect and transmit the current environmental parameters to the central control module 10 in real time. Data is synchronized every 5 minutes to ensure the continuity and accuracy of environmental parameters. The sensor nodes adopt a low-power design and a wireless networking design for easy future expansion and maintenance.

[0053] Example 2

[0054] As another embodiment of the present invention, in this embodiment, the main control module is further provided with a self-learning optimization module. The self-learning optimization module is based on the random forest regression algorithm and uses "historical data combination, power adjustment value, dust effect, and energy consumption" as training samples to construct an "input-output" mapping model. It automatically iterates and updates the weight (K value) and α value range of the weighted formula every week to adapt to the optimal control strategy under different time, construction stage and environmental conditions.

[0055] Specifically, the self-learning optimization module includes a historical data training library, which stores historical data categorized by construction activity type, environmental parameters, dust suppression equipment operating status, and dust concentration. The self-learning optimization module optimizes the historical data based on the weight values ​​in Formula 1 and the power correction coefficient, and outputs an optimization scheme. The specific method includes the following steps:

[0056] Step S210: Using wind direction, humidity, dust volume, rainfall, power correction parameters, and equipment power as input features, and dust reduction compliance rate and energy consumption as output features, construct model training samples.

[0057] Step S220: Use the random forest algorithm to learn from the training samples, analyze the influence weight of different features on the output results, automatically fine-tune the K and α values ​​in Formula 1 to ensure the lowest energy consumption and the best effect, and store the optimized solution.

[0058] Step S230: For the construction that is about to be started, call up historical similar scene data and corresponding dust reduction schemes, and optimize the called schemes in combination with meteorological forecast data, and output them.

[0059] Specifically, in this embodiment, the historical data training library is divided and stored according to construction scenarios (i.e., the types of historical construction sites acquired). The stored data includes environmental parameters and equipment operation records under different scenarios such as earthwork excavation, main structure construction, and decoration stage. Among them, the dust reduction compliance rate is a manual evaluation index, which is scored by on-site management personnel in combination with monitoring data. The full score is 10 points, which is used to provide feedback on the control effect.

[0060] Step S221 includes the following steps during the training process:

[0061] Step S221: Construct a bi-objective optimization function based on formula (2);

[0062] Optimization target = ω1 × (dust compliance rate) + ω2 × (equipment energy consumption); Formula (2)

[0063] Among them, ω1 and ω2 are weighting parameters of compliance rate and energy consumption, which are customized by staff according to expected targets. The sum of the two is equal to 1. In this embodiment, ω1 is 0.6 and ω2 is 0.4.

[0064] Step S222: Input K1-K4, constraints on α values, P i The boundary conditions and construction type adaptation constraints, such as K1-K4∈[0.1,0.5] and their sum is 1, P i ∈[0.1P0,1P0], the construction type is earthwork, main structure, decoration, etc.;

[0065] Step S223: Select historical data and extract abnormal data under equipment failure and extreme weather conditions, and divide them into multiple different sub-training sets according to construction type;

[0066] Step S224: Set the number of decision trees (e.g., 50), maximum depth (e.g., 8), and splitting criterion (e.g., mean squared error). Train a random forest model for each sub-training set separately, integrate the prediction results through mean voting, and output the optimal K value, α value combination, and power correction coefficient corresponding to each sub-model.

[0067] Preferably, in this embodiment, the historical data training library is updated daily, and the model in the self-learning optimization module is trained once a week based on the latest historical data training library to ensure that the model parameters dynamically adapt to changes in actual working conditions.

[0068] Meanwhile, the system automatically records the execution results of the scheme after each optimization, and performs feedback evaluation by combining the actual dust reduction compliance rate and energy consumption data. When the actual results deviate too much from the predicted values ​​(such as the compliance rate deviating from the actual value by more than 10% or the energy consumption exceeding the expectation by 15%), the model retraining mechanism is triggered to readjust the weight parameters and optimize the control strategy.

[0069] This mechanism effectively enhances the model's adaptability and robustness, ensuring the continuous output of the optimal dust suppression strategy in complex and ever-changing construction environments. Through continuous iterative learning, the system gradually optimizes weight allocation and parameter combinations, enhancing prediction accuracy and control efficiency, thereby achieving a synergistic balance between environmental protection goals and energy-saving operation.

[0070] Example 3

[0071] In another embodiment of the present invention, the control system further includes a self-generating and energy storage module. The self-generating and energy storage module is installed at the sensor in the environmental acquisition module to power the corresponding sensor. Meanwhile, the sensor is electrically connected to the main control module via wireless networking to reduce on-site wiring and lower construction and deployment costs.

[0072] The self-generating and energy storage module is an existing technology, such as an energy storage device with wind power generation or an energy storage device with solar power generation function, which can utilize the natural energy at the construction site to achieve continuous power supply.

[0073] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular forms “a,” “the,” and “the” used in this invention and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0074] It should be understood that although the terms first, second, third, etc., may be used in this invention to describe various information, this information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, first information may also be referred to as second information without departing from the scope of this invention, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to a determination."

[0075] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A construction site energy-saving dust suppression control system, used to control the operation of dust suppression devices at construction sites, characterized in that, The dust suppression device consists of dust suppression modules responsible for different areas, and the control system includes: The zone control module is used to control the spray intensity in each dust suppression module separately; The environment acquisition module is used to acquire current environmental parameters, including wind direction, humidity, dust level, and rainfall. The central control module calculates the operating parameters of each zone control module based on the current environmental parameters and a preset calculation model. The zone control modules control the dust suppression modules in their respective areas based on the operating parameters calculated by the central control module.

2. The energy-saving dust control system for building construction according to claim 1, characterized in that, The calculation model calculates the spray intensity of each dust suppression device based on formula (1): P i =P α (K1×F+K2×H+K3×C+K4×R)×α; formula (1) Among them, P i P represents the operating power of the i-th dust suppression module. α K1 is the base power of the dust suppression module; K2 is the wind direction weight, where F is the quantified value of the wind direction, based on the wind direction and the location of the corresponding dust suppression module; K3 is the humidity weight, where H is the quantified value of humidity; K4 is the dust emission weight, where C is the quantified value of dust emission; K5 is the rainfall weight, where R is the quantified value of rainfall; α is the power correction coefficient; the sum of K1-K4 is 1.

3. The energy-saving dust control system for building construction according to claim 2, characterized in that, When the rainfall exceeds the preset value, the main control module shuts down the corresponding dust suppression module through the control modules of each zone.

4. The energy-saving dust control system for building construction according to claim 2, characterized in that, The wind direction value is quantified based on the relative position of the dust suppression module and the construction area. The relative position of the dust suppression module and the construction area is divided into upwind side, crosswind side and downwind side, and the quantified value decreases in that order.

5. The energy-saving dust control system for building construction according to claim 2, characterized in that, When quantifying humidity, the higher the humidity, the smaller the quantified value.

6. The energy-saving dust control system for building construction according to any one of claims 2-5, characterized in that, The initial value of α is set according to the functional division of different areas of the construction site. The closer the dust suppression module is to the dust-generating area, the larger the value of α.

7. The energy-saving dust control system for building construction according to claim 6, characterized in that, When determining the value of α, the value of α is adjusted upwards for areas with strict dust control requirements and downwards for areas with lower dust control requirements, based on the surrounding environment of the construction site.

8. The energy-saving dust control system for building construction according to claim 6, characterized in that, During the dust suppression process, the value of α is dynamically updated according to the construction stage. Specifically, the relative position changes of the dust suppression module and the construction area within the construction site are obtained based on the construction progress, and the value of α is adjusted in combination with the current construction activity type.

9. The energy-saving dust control system for building construction according to claim 6, characterized in that, The α value is also adjusted according to changes in real-time dust concentration monitoring data. If dust continues to increase during the operation of the dust suppression module, the α value is gradually increased to enhance the spray intensity until the dust concentration is controlled; if the dust concentration continues to decrease and stabilizes below the threshold, the α value is gradually decreased.

10. The energy-saving dust control system for building construction according to any one of claims 2-5, characterized in that, The overall control module also has a built-in self-learning optimization module, which optimizes the set values ​​of each weight coefficient K1-K4 and α based on historical data.

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