A BIM-based green construction management system for wind power projects

Abstract

This utility model discloses a BIM-based green construction management system for wind power projects. Based on collected geographical environmental information and engineering drawings drawn according to design objectives, a complete wind power project model is constructed through the BIM model of the Autodesk Revit platform. This model is integrated with an IoT monitoring network formed by IoT monitoring devices deployed in specific locations, creating a more scientific BIM and IoT fusion subsystem. Relying on this subsystem, environmental indicators are collected through IoT monitoring devices at each step. The system automatically determines whether the noise level is less than or equal to the noise threshold and whether the PM10 level is less than or equal to the dust threshold. If the noise or PM10 level exceeds the corresponding set threshold for three consecutive minutes, some high-noise or high-dust mechanical operations are suspended, and the associated schemes for road and platform, wind turbine foundation, and wind turbine hoisting construction are corrected to effectively and in real time control noise and dust and avoid pollution.

Description

Technical Field

[0001] This utility model relates to the field of wind power engineering construction management technology, specifically to a BIM-based green construction management system for wind power engineering. Background Technology

[0002] Traditional wind power construction methods rely primarily on manual experience and two-dimensional drawings for on-site management and construction control, resulting in fragmented construction information, unscientific resource allocation, and extensive process management. Especially in complex environments, there is a lack of real-time perception and dynamic control mechanisms for the construction process. If noise and dust cannot be effectively controlled and managed in real time during wind power construction, pollution will result. To address this, relevant technical personnel have developed utility model patent applications, such as the one published with publication number CN113052573A, 'Digital Construction Management System for Wind Farms Based on BIM'. However, the technical solutions disclosed in the specification of this utility model patent application are insufficient and difficult to practically guide construction management, requiring further improvement. Utility Model Content

[0003] One of the technical problems this application aims to solve is to overcome the shortcomings of the above-mentioned related technologies and provide a BIM-based green construction management system for wind power projects, which can effectively and in real time control noise and dust to avoid pollution.

[0004] The technical solution adopted by this utility model to solve the technical problem is: a BIM-based green construction management system for wind power projects, comprising:

[0005] The BIM and IoT integration subsystem integrates the application of a wind power project BIM model built based on geographic environmental information and engineering drawings with various IoT monitoring devices laid around the wind power project construction site to form an IoT monitoring network, which is used to provide operation guidance for road and platform construction, wind turbine foundation construction and wind turbine hoisting construction in the green construction process of wind power projects.

[0006] The on-site construction equipment management subsystem uses a BIM and IoT integration subsystem to control and manage various construction equipment during the green construction process of wind power projects.

[0007] The various IoT monitoring devices include:

[0008] Dust monitoring equipment used to collect PM10 values ​​at construction sites is laid on both sides of the construction roads and downwind of the construction site.

[0009] Noise monitoring equipment used to collect decibel values ​​of noise at construction sites is deployed at the entrances and exits of construction sites, at the boundaries bordering surrounding residential areas, and near hoisting equipment.

[0010] Wind speed monitoring equipment used to monitor wind speed values ​​at construction sites shall be deployed in a location upwind of the construction site and not affected by construction.

[0011] Temperature and humidity monitoring equipment used to monitor the temperature and humidity values ​​of the construction site should be installed in a location upwind of the construction site and not affected by the construction.

[0012] Compared with related technologies, this utility model has the following advantages: Based on the collected geographical environment information and engineering drawings drawn according to the design objectives, a complete wind power engineering model is constructed through the BIM model of the Autodesk Revit platform. It is then integrated with the Internet of Things (IoT) monitoring system formed by IoT monitoring equipment laid at specific locations around the wind power engineering construction site, forming a more scientific BIM and IoT integration subsystem. Relying on this BIM and IoT integration subsystem, under the guidance of the digital guidance of the construction of roads and platforms, wind turbine foundations and wind turbine hoisting, environmental indicators are collected through IoT monitoring equipment during each construction step. The system automatically judges whether the noise is less than or equal to the noise threshold and whether the PM10 is less than or equal to the dust threshold. When the noise or PM10 exceeds the corresponding set threshold for 3 consecutive minutes, some high-noise or high-dust mechanical operations are suspended, and the correlation scheme of the above three steps is corrected to effectively and in real time control noise and dust and avoid pollution.

[0013] The BIM and IoT integration subsystem also monitors the number and location of vehicles operating on the construction site in real time. It combines PM10, wind speed, temperature and humidity to analyze the PM10 value generated by each vehicle, establishes a dust control correlation model, and estimates the maximum number of vehicles that the site can accommodate under specific weather conditions. It then performs prediction, adjustment and optimization of dust control based on weather and construction operation system.

[0014] The BIM and IoT integration subsystem records the types, quantities, and locations of various construction equipment in real time. It then performs correlation analysis with noise data, wind speed, temperature, and humidity to establish a noise control correlation model. This model assesses the noise contribution of different equipment to each monitoring point under specific weather conditions and, combined with the BIM model, creates a visual relationship diagram between equipment use and noise impact. Consequently, while meeting noise requirements, it dynamically determines the types and quantities of equipment that can be deployed each day and the reasonable usage areas, and performs noise prediction, adjustment, and optimization based on weather and construction operation systems.

[0015] Preferably, there are no fewer than four dust monitoring devices, noise monitoring devices, wind speed monitoring devices, and temperature and humidity monitoring devices. The average values ​​are used to predict, adjust, and optimize noise and dust levels based on weather and construction operation systems, enabling more accurate management.

[0016] Preferably, the construction equipment is powered by renewable energy.

[0017] Preferably, the construction equipment includes electric cranes and electric excavators.

[0018] As an improvement, the construction equipment includes water trucks. During road and platform construction, wind turbine foundation construction, and wind turbine hoisting construction, the water trucks will operate at least four times daily. Regular operations will be scheduled once each in the morning, noon, evening, and after construction ends. Morning watering should be completed before construction personnel arrive on site, noon watering before the end of lunch break, and evening watering after dinner before resuming work. Each watering operation will be controlled at 1L / m³. Whenever PM10 levels exceed the corresponding dust emission threshold, an additional water truck operation will be conducted, but the total number of daily water truck operations will not exceed seven. This increases the humidity of the construction site, effectively reducing dust and also absorbing some noise. Attached Figure Description

[0019] Figure 1 This is a structural diagram of the BIM-based green construction management system for wind power projects proposed in this application.

[0020] Figure 2 This is the overall flowchart of the BIM-based green construction method for wind power projects proposed in this application.

[0021] Figure 3 This is a schematic diagram of the data flow of the BIM and IoT integration subsystem in this application.

[0022] Figure 4 This is a flowchart of steps S3, S4 and S5 in Embodiment 1 of this application.

[0023] Figure 5 This is a flowchart of steps S3, S4 and S5 in Embodiment 2 of this application. Detailed Implementation

[0024] First, those skilled in the art should understand that these embodiments are merely used to explain the technical principles of the embodiments of this application and are not intended to limit the scope of protection of the embodiments of this application. Those skilled in the art can make adjustments as needed to adapt to specific application scenarios.

[0025] The present invention will now be described in further detail with reference to the accompanying drawings and specific embodiments.

[0026] This utility model is an improved BIM-based green construction management system for wind power projects, such as... Figure 1 As shown, it includes:

[0027] The BIM and IoT integration subsystem integrates the application of a wind power project BIM model built based on geographic environmental information and engineering drawings with various IoT monitoring devices laid around the wind power project construction site to form an IoT monitoring network, which is used to provide operation guidance for road and platform construction, wind turbine foundation construction and wind turbine hoisting construction in the green construction process of wind power projects.

[0028] The on-site construction equipment management subsystem uses the BIM and IoT integration subsystem, along with predetermined noise and PM10 thresholds for each construction step, to control and manage various construction equipment during the green construction process of wind power projects.

[0029] The BIM and IoT integration subsystem includes a data acquisition module and a data processing module.

[0030] The data acquisition module communicates with various IoT monitoring devices through the IoT monitoring network to collect relevant construction data in real time;

[0031] The various IoT monitoring devices include:

[0032] Dust monitoring equipment used to collect PM10 values ​​at construction sites is laid on both sides of the construction roads and downwind of the construction site.

[0033] Noise monitoring equipment used to collect decibel values ​​of noise at construction sites is deployed at the entrances and exits of construction sites, at the boundaries bordering surrounding residential areas, and near hoisting equipment.

[0034] Wind speed monitoring equipment used to monitor wind speed values ​​at construction sites shall be deployed in a location upwind of the construction site that will not be affected by construction.

[0035] Temperature and humidity monitoring equipment used to monitor the temperature and humidity values ​​of the construction site should be installed in a location upwind of the construction site that will not be affected by the construction.

[0036] The data processing module is used for data interaction, enabling the integration of the wind power project BIM model built based on geographic environmental information and engineering drawings with various IoT monitoring devices laid around the wind power project construction site to form an IoT monitoring network. This network can provide operational guidance for road and platform construction, wind turbine foundation construction, and wind turbine hoisting construction during the green construction process of wind power projects.

[0037] The on-site construction equipment management subsystem includes a construction equipment control module that communicates with the data processing module. It uses a BIM and IoT integration subsystem to provide operational guidance for various construction equipment during road and platform construction, wind turbine foundation construction, and wind turbine hoisting. The system also feeds back the working status of various construction equipment to the BIM model through the data processing module. Furthermore, it controls and manages various construction equipment during the green construction process of wind power projects through noise construction equipment control modules, dust construction equipment control modules, and water spraying equipment control modules, based on predetermined noise and PM10 thresholds for each construction step.

[0038] The construction equipment to be used will preferably be powered by renewable energy sources, such as electric cranes and electric excavators.

[0039] Example 1

[0040] based on Figure 1 The first construction method of the BIM-based green construction management system for wind power projects is shown below. Figure 2 As shown, the specific steps include the following:

[0041] S1. Project initiation: Complete project approval, establish organizational structure, and formulate preliminary overall construction schedule. Through communication with clients, determine the installed capacity, technical requirements, operating conditions, and expected power generation of the project. At the same time, systematically collect various information required for the project, including the natural geographical and meteorological conditions of the surrounding environment, relevant standards and specifications of the region, transportation conditions, and power grid information. Geographical conditions include, but are not limited to, annual sunshine duration, annual average wind speed, annual average precipitation, terrain undulation, and geological features.

[0042] S2. Construction preparation, such as Figure 3As shown, the BIM model built using the Autodesk Revit platform was supplemented and completed according to the project's engineering situation, including the digital twin of the construction site and the deployment of IoT monitoring equipment. The digital twin is based on the geographical environment information collected when the S1 project was launched and the engineering drawings drawn according to the project design goals, including the wind farm road layout, wind turbine foundations, transformer substation locations, and cable routes. The deployment of the IoT monitoring system involves placing four dust monitoring devices (PM10) on both sides of the construction road and downwind of the construction site, four noise monitoring devices at the entrance and exit of the construction site, at the boundary with surrounding residential areas, and near the hoisting equipment, and four wind speed monitoring devices and four temperature and humidity monitoring devices upwind of the construction site in locations unaffected by construction. These are integrated with the BIM model to form a BIM and IoT integrated subsystem. At the same time, specific construction plans were developed and material preparation was completed. Construction personnel were also organized to undergo a 3-day training program of no less than 24 hours on green construction concepts, BIM operation, and the use and troubleshooting of IoT equipment. Of course, depending on the needs of the wind power project, the number of dust monitoring devices and noise monitoring devices can be more than four.

[0043] S3. Road and Platform Construction: Relying on the BIM and IoT integrated subsystem, 3D modeling and multi-scheme comparison and optimization are performed on roads and work platforms within the wind power construction area. Under the constraints of ensuring road longitudinal slope no greater than 8%, minimum curve radius no less than 30 m, and guaranteeing smooth transportation routes and platform construction stability, a related road and platform construction scheme is obtained; such as... Figure 4 As shown, during construction, the BIM and IoT integration subsystem collects environmental indicators through IoT monitoring devices at a frequency of no less than once per minute, automatically determining whether noise is less than or equal to the first noise threshold of 95 dB and whether PM10 is less than or equal to the first dust threshold of 150 μg / m³. If the monitoring data exceeds the set threshold for three consecutive minutes, the BIM and IoT integration subsystem will automatically issue an alarm and suspend some high-noise or high-dust mechanical operations according to the road and platform construction association plan.

[0044] Regarding dust control at construction sites, when PM10 levels exceed the first dust threshold, the BIM and IoT integration subsystem will add one water truck operation. The water truck will operate no less than 4 times and no more than 7 times daily, with regular operations scheduled once each in the morning, noon, evening, and after construction ends. Morning watering should be completed before construction workers arrive, noon watering before the end of lunch break, and evening watering before construction resumes after dinner. Each watering operation should be controlled at 1L / m³ to ensure dust suppression effectiveness and avoid water accumulation affecting construction. The BIM and IoT integration subsystem also integrates wind speed and temperature / humidity data to predict dust trends and precipitation probability: when wind speed exceeds 4 m / s or temperature / humidity monitoring does not indicate a possibility of precipitation, the BIM and IoT integration subsystem will determine whether to add watering operations based on the current time and PM10 concentration; if precipitation is predicted, it will determine whether to cancel the day's watering task based on the probability of precipitation and the current PM10 level.

[0045] S4. Wind turbine foundation construction: Relying on the BIM and IoT integration system for wind power projects, digital design and intelligent guidance are provided for the wind turbine foundation construction process. This includes designing operations such as excavation, rebar tying, formwork installation, and concrete pouring. Considering constraints such as rebar spacing deviation not exceeding ±10 mm, joint symbols for mechanical connections or welding specifications, formwork installation ensuring no internal gaps or misalignment, verticality error less than 1%, and using C40 strength grade concrete, along with simultaneous construction by concrete mixer trucks and pump trucks, a comprehensive wind turbine foundation construction plan is obtained. Figure 4 As shown, during normal construction, environmental indicators are monitored in real time through IoT monitoring equipment. The BIM and IoT integration subsystem collects data at a frequency of no less than 1 minute / time, and automatically determines whether the noise is less than or equal to the second noise threshold of 105dB and whether PM10 is less than or equal to the second dust threshold of 120μg / m3. If the monitoring data exceeds the standard for 3 consecutive minutes, the BIM and IoT integration subsystem will automatically issue an alarm and suspend some high-noise or high-dust mechanical operations according to the wind turbine foundation construction association plan.

[0046] Regarding dust control at construction sites, when PM10 levels exceed the second dust threshold, the BIM and IoT integration subsystem will add one water truck operation. The water truck will operate no less than 4 times and no more than 7 times daily, with regular operations scheduled once each in the morning, noon, evening, and after construction ends. Morning watering should be completed before construction workers arrive, noon watering before the end of lunch break, and evening watering before construction resumes after dinner. Each watering operation should be controlled at 1L / m³ to ensure dust suppression effectiveness and avoid water accumulation affecting construction. The BIM and IoT integration subsystem also integrates wind speed and temperature / humidity data to predict dust trends and precipitation probability: when wind speed exceeds 4 m / s or temperature / humidity monitoring does not indicate a possibility of precipitation, the subsystem will determine whether to add watering operations based on the current time and PM10 concentration; if precipitation is predicted, it will determine whether to cancel the day's watering task based on the probability of precipitation and the current PM10 level.

[0047] S5. Wind turbine hoisting construction: Relying on the BIM and IoT integration subsystem, the BIM model is used to simulate and analyze the wind turbine blade transportation path, hoisting path, hoisting posture, and hoisting time window to guide the operation. Based on the wind turbine model used, the crane layout scheme required for the hoisting operation is simulated. Combined with the constraints of the site terrain elevation difference not exceeding 5%, the working surface width not less than 12m, and the maximum wind speed less than 10m / s, the safety and operability of the construction are ensured, resulting in a related wind turbine hoisting construction scheme; such as... Figure 4 As shown, during normal construction, environmental indicators are monitored in real time through IoT monitoring equipment. The BIM and IoT integration subsystem collects data at a frequency of no less than 1 minute / time, and automatically determines whether the noise is less than or equal to the third noise threshold of 85dB and whether PM10 is less than or equal to the third dust threshold of 50μg / m3. If the monitoring data exceeds the standard for 3 consecutive minutes, the BIM and IoT integration subsystem will automatically issue an alarm and suspend some high-noise or high-dust mechanical operations according to the wind turbine hoisting construction association plan.

[0048] Regarding dust control at construction sites, when PM10 levels exceed the third dust threshold, the BIM and IoT integration subsystem will add one water truck operation. The water truck will operate no less than 4 times and no more than 7 times daily, with regular operations scheduled once each in the morning, noon, evening, and after construction ends. Morning watering should be completed before construction workers arrive, noon watering before the end of lunch break, and evening watering before construction resumes after dinner. Each watering operation should be controlled at 1L / m³ to ensure dust suppression effectiveness and avoid water accumulation affecting construction. The BIM and IoT integration subsystem also integrates wind speed and temperature / humidity data to predict dust trends and precipitation probability: when wind speed exceeds 4 m / s or temperature / humidity monitoring does not indicate a possibility of precipitation, the subsystem will determine whether to add watering operations based on the current time and PM10 concentration; if precipitation is predicted, it will determine whether to cancel the day's watering task based on the probability of precipitation and the current PM10 level.

[0049] S6. Final stage: This mainly includes wind turbine commissioning, cable laying, power supply and grid connection, site remediation and landscaping, and document archiving. At the same time, it involves continuous monitoring of dust and noise in the construction area to guide environmental control during the final stage of construction. Finally, all construction data is uploaded to the project's digital archive to achieve traceability and digital delivery of the entire construction process.

[0050] In steps S3, S4 and S5, the monitored environmental indicators are the average values ​​of multiple monitoring points.

[0051] In steps S3, S4 and S5, a visual relationship diagram is established based on the noise obtained from the IoT monitoring device and the recorded operating construction equipment, combined with the BIM model.

[0052] Throughout the construction process, the construction equipment will prioritize those powered by renewable energy sources, such as electric cranes and electric excavators.

[0053] It can digitally formulate and optimize wind power project construction plans, effectively improving the controllability and execution efficiency of the wind power project construction process, and promoting the standardization and professionalization of the construction management system.

[0054] It can monitor two environmental indicators, noise and dust, at the construction site in real time and provide dynamic feedback on the impact of construction on the environment, thereby guiding and optimizing the construction process, significantly reducing pollution to the surrounding ecological environment, and achieving the goal of green construction.

[0055] The system can predict and adjust the construction process in real time based on monitored wind speed and precipitation probability, and make dynamic adjustments to the watering operation based on the weather.

[0056] Example 2

[0057] based on Figure 1The second construction method shown in the BIM-based green construction management system for wind power projects is as follows: Figure 2 As shown, the specific steps include the following:

[0058] S1. Project initiation: Complete project approval, establish organizational structure, and formulate preliminary overall construction schedule. Through communication with clients, determine the installed capacity, technical requirements, operating conditions, and expected power generation of the project. At the same time, systematically collect various information required for the project, including the natural geographical and meteorological conditions of the surrounding environment, relevant standards and specifications of the region, transportation conditions, and power grid information. Geographical conditions include, but are not limited to, annual sunshine duration, annual average wind speed, annual average precipitation, terrain undulation, and geological features.

[0059] S2. Construction preparation, such as Figure 3 As shown, the BIM model built using the Autodesk Revit platform was supplemented and completed according to the project's engineering situation, including the digital twin of the construction site and the deployment of IoT monitoring equipment. The digital twin is based on the geographical environment information collected when the S1 project was launched and the engineering drawings drawn according to the project design goals, including the wind farm road layout, wind turbine foundations, transformer substation locations, and cable routes. The deployment of the IoT monitoring system involves placing four dust monitoring devices (PM10) on both sides of the construction road and downwind of the construction site, four noise monitoring devices at the entrance and exit of the construction site, at the boundary with surrounding residential areas, and near the hoisting equipment, and four wind speed monitoring devices and four temperature and humidity monitoring devices upwind of the construction site in locations that will not be affected by construction. These are integrated with the BIM model to form a BIM and IoT fusion subsystem (also known as the BIM and IoT-based fusion system, hereinafter the same). At the same time, specific construction plans were developed and material preparation was completed. Construction personnel were also organized to undergo a 3-day training program of no less than 24 hours on green construction concepts, BIM operation, and the use and troubleshooting of IoT equipment. Of course, depending on the needs of the wind power project, the number of dust monitoring devices and noise monitoring devices can be more than four.

[0060] S3. Road and Platform Construction: Relying on the BIM and IoT integrated subsystem, 3D modeling and multi-scheme comparison and optimization are performed on roads and work platforms within the wind power project construction area. Under the constraints of ensuring road longitudinal slope no greater than 8%, minimum curve radius no less than 30 m, and guaranteeing smooth transportation routes and platform construction stability, related road and platform construction solutions are obtained; such as... Figure 4As shown, during construction, the BIM and IoT integration subsystem collects environmental indicators through IoT monitoring devices at a frequency of no less than once per minute, automatically determining whether noise is less than or equal to the first noise threshold of 95 dB and whether PM10 is less than or equal to the first dust threshold of 150 μg / m³. If the monitoring data exceeds the set threshold for three consecutive minutes, the BIM and IoT integration subsystem will automatically issue an alarm and suspend some high-noise or high-dust mechanical operations according to the road and platform construction association plan.

[0061] Regarding dust control at the construction site, when PM10 levels exceed the first dust threshold, the BIM and IoT integration subsystem will add a water truck operation. The water truck will operate no less than 4 times and no more than 7 times per day, with regular operations scheduled once each in the morning, noon, evening, and after construction ends. Morning watering should be completed before construction workers enter the site, noon watering before the end of lunch break, and evening watering after dinner before resuming work. Each watering operation should be controlled at 1L / m³ to ensure dust suppression effectiveness and avoid water accumulation affecting construction.

[0062] The BIM and IoT integration subsystem also integrates wind speed and temperature / humidity data to predict dust trends and precipitation probabilities: when wind speed exceeds 4 m / s or temperature / humidity monitoring does not indicate a possibility of precipitation, the subsystem will determine whether to increase watering operations based on the current time and PM10 concentration; if precipitation is predicted, it will determine whether to cancel the day's watering task based on the probability of precipitation and the current PM10 level. Simultaneously, the subsystem also monitors the number and location of vehicles operating within the construction site in real time, and analyzes the dust generated by vehicles based on PM10 values, wind speed, and temperature / humidity to establish a dust control correlation model, such as... Figure 5 As shown, the maximum number of vehicles that the site can accommodate under specific weather conditions is estimated.

[0063] Regarding construction site noise, the system records the type, quantity, and location of various construction equipment in real time, and performs correlation analysis with noise data, wind speed, temperature, and humidity to establish a noise control correlation model. Figure 5 As shown, the degree of noise contribution of different equipment to each monitoring point under specific meteorological conditions is evaluated, and a visual relationship diagram of equipment use and noise impact is established by combining BIM model. Then, under the premise of meeting noise requirements, the types and quantities of equipment that can be put into use each day and the reasonable use area are dynamically determined.

[0064] S4. Wind turbine foundation construction: Relying on the BIM and IoT integrated subsystem, the construction process of the wind turbine foundation is digitally designed and intelligently guided. This includes the design of excavation, rebar tying, formwork installation, and concrete pouring. The design incorporates constraints such as rebar spacing deviation not exceeding ±10 mm, joints conforming to mechanical connection or welding specifications, formwork installation ensuring no internal gaps or misalignment, verticality error less than 1%, and C40 strength grade concrete. This, combined with the simultaneous construction by concrete mixer trucks and pump trucks, yields a comprehensive wind turbine foundation construction plan. Figure 4 As shown, during normal construction, environmental indicators are monitored in real time through IoT devices. The BIM and IoT integration subsystem collects data at a frequency of no less than 1 minute / time and automatically determines whether the noise level is less than or equal to 105dB and whether the PM10 level is less than or equal to 120μg / m3. If the monitored data exceeds the standard for 3 consecutive minutes, the system will automatically issue an alarm and suspend some high-noise or high-dust mechanical operations according to the wind turbine foundation construction association plan.

[0065] Regarding dust control at the construction site, the system will add one water truck operation when the PM10 content exceeds the second dust threshold. The water truck will operate no less than 4 times and no more than 7 times per day. Regular operations are scheduled once each in the morning, noon, evening, and after construction ends. Morning watering should be completed before construction workers enter the site, noon watering before the end of lunch break, and evening watering after dinner before resuming work. Each watering operation should be controlled at 1L / m³ to ensure dust suppression effectiveness and avoid water accumulation affecting construction.

[0066] The BIM and IoT integration subsystem also integrates wind speed and temperature / humidity data to predict dust trends and precipitation probabilities: when wind speed exceeds 4 m / s or temperature / humidity monitoring does not indicate a possibility of precipitation, the subsystem will determine whether to increase watering operations based on the current time and PM10 concentration; if precipitation is predicted, it will determine whether to cancel the day's watering task based on the probability of precipitation and the current PM10 level. Simultaneously, the subsystem also monitors the number and location of vehicles operating within the construction site in real time, and analyzes the PM10 generated by vehicles based on PM10 values, wind speed, and temperature / humidity to establish a dust control correlation model, such as... Figure 5 As shown, the maximum number of vehicles that the site can accommodate under specific weather conditions is estimated.

[0067] Regarding construction site noise, the BIM and IoT integration subsystem records the types, quantities, and locations of various construction equipment in real time, and performs correlation analysis with noise data, wind speed, temperature, and humidity to establish a noise control correlation model. Figure 5As shown, the degree of noise contribution of different equipment to each monitoring point under specific meteorological conditions is evaluated, and a visual relationship diagram of equipment use and noise impact is established by combining BIM model. Then, under the premise of meeting noise requirements, the types and quantities of equipment that can be put into use each day and the reasonable use area are dynamically determined.

[0068] S5. Wind turbine hoisting construction: Relying on the BIM and IoT integration subsystem, the BIM model is used to simulate and analyze the wind turbine blade transportation path, hoisting path, hoisting posture, and hoisting time window to guide the operation. Based on the wind turbine model used, the crane layout scheme required for the hoisting operation is simulated. Combined with the constraints of the site terrain elevation difference not exceeding 5%, the working surface width not less than 12m, and the maximum wind speed less than 10m / s, the safety and operability of the construction are ensured, resulting in a related wind turbine hoisting construction scheme; such as... Figure 4 As shown, during normal construction, environmental indicators are monitored in real time through IoT monitoring equipment. The BIM and IoT integration subsystem collects data at a frequency of no less than 1 minute / time, and automatically determines whether the noise level is less than or equal to 85dB and whether the PM10 level is less than or equal to 50μg / m3. If the monitoring data exceeds the standard for 3 consecutive minutes, the BIM and IoT integration subsystem will automatically issue an alarm and suspend some high-noise or high-dust mechanical operations according to the wind turbine hoisting construction association plan.

[0069] Regarding dust control at the construction site, when PM10 levels exceed the third dust threshold, the BIM and IoT integration subsystem will add a water truck operation. The water truck will operate no less than 4 times and no more than 7 times daily, with regular operations scheduled once each in the morning, noon, evening, and after construction ends. Morning watering should be completed before construction workers enter the site, noon watering before the end of lunch break, and evening watering after dinner before resuming work. Each watering operation should be controlled at 1L / m³ to ensure dust suppression effectiveness and avoid water accumulation affecting construction.

[0070] The BIM and IoT integration subsystem also integrates wind speed and temperature / humidity data to predict dust trends and precipitation probabilities: when wind speed exceeds 4 m / s or temperature / humidity monitoring does not indicate a possibility of precipitation, the subsystem will determine whether to increase watering operations based on the current time and PM10 concentration; if precipitation is predicted, it will determine whether to cancel the day's watering task based on the probability of precipitation and the current PM10 level. Simultaneously, the subsystem also monitors the number and location of vehicles operating within the construction site in real time, and analyzes the PM10 generated by vehicles based on PM10 values, wind speed, and temperature / humidity to establish a dust control correlation model, such as... Figure 5 As shown, the maximum number of vehicles that the site can accommodate under specific weather conditions is estimated.

[0071] Regarding construction site noise, the BIM and IoT integration subsystem records the types, quantities, and locations of various construction equipment in real time, and performs correlation analysis with noise data, wind speed, temperature, and humidity to establish a noise control correlation model. Figure 5 As shown, the degree of noise contribution of different equipment to each monitoring point under specific meteorological conditions is evaluated, and a visual relationship diagram of equipment use and noise impact is established by combining BIM model. Then, under the premise of meeting noise requirements, the types and quantities of equipment that can be put into use each day and the reasonable use area are dynamically determined.

[0072] S6. Final stage: This mainly includes wind turbine commissioning, cable laying, power supply and grid connection, site remediation and landscaping, and document archiving. At the same time, it involves continuous monitoring of dust and noise in the construction area to guide environmental control during the final stage of construction. Finally, all construction data is uploaded to the project's digital archive to achieve traceability and digital delivery of the entire construction process.

[0073] In steps S3, S4, and S5, the goal of the dust and noise control correlation model is to control the monitoring points, i.e., to control the environmental impact around the construction site. A dust control correlation model for the construction site is established by correlating PM10, wind speed, and temperature and humidity data monitored by IoT monitoring equipment with the number and location of vehicles operating on site. Based on the dust control correlation model, the PM10 content at the construction site under specific weather conditions can be predicted in real time, and the operation of vehicles can be adjusted accordingly. Similarly, a noise control correlation model for the construction site is established by correlating noise, wind speed, temperature, and humidity data monitored by IoT monitoring equipment with the number, location, and type of equipment at the construction site. Based on the noise control correlation model, the noise level at the construction site under specific weather conditions can be predicted in real time, and the number of operating construction equipment can be adjusted accordingly.

[0074] Compared with Example 1, the method in Example 2 adds prediction, adjustment and optimization of noise and dust based on weather and construction operation system, so as to achieve more effective real-time control of noise and dust.

[0075] This invention uses IoT monitoring devices to monitor noise levels and the location, quantity, and type of operating equipment. Combined with a BIM model, a visual relationship diagram is created, allowing for intuitive control of the construction equipment. Through digital information integration and real-time feedback mechanisms, this invention establishes a digital model, which helps to promptly identify and warn of risk factors during construction, enhances on-site responsiveness, and improves the safety and intelligence of the entire construction process.

[0076] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A BIM-based green construction management system for wind power projects, comprising: The BIM and IoT integration subsystem integrates the application of a wind power project BIM model built based on geographic environmental information and engineering drawings with various IoT monitoring devices laid around the wind power project construction site to form an IoT monitoring network, which is used to provide operation guidance for road and platform construction, wind turbine foundation construction and wind turbine hoisting construction in the green construction process of wind power projects. The on-site construction equipment management subsystem uses the BIM and IoT integration subsystem and predetermined noise and PM10 thresholds for each construction step to control and manage various construction equipment during the green construction process of wind power projects. Its features are, The various IoT monitoring devices include: Dust monitoring equipment used to collect PM10 values ​​at construction sites is laid on both sides of the construction roads and downwind of the construction site. Noise monitoring equipment used to collect decibel values ​​of noise at construction sites is deployed at the entrances and exits of construction sites, at the boundaries bordering surrounding residential areas, and near hoisting equipment. Wind speed monitoring equipment used to monitor wind speed values ​​at construction sites shall be deployed in a location upwind of the construction site that will not be affected by construction. Temperature and humidity monitoring equipment used to monitor the temperature and humidity values ​​of the construction site should be installed in a location upwind of the construction site that will not be affected by the construction.

2. The BIM-based green construction management system for wind power projects according to claim 1, characterized in that, The number of dust monitoring devices, noise monitoring devices, wind speed monitoring devices, and temperature and humidity monitoring devices shall not be less than four.

3. A BIM-based green construction management system for wind power projects according to claim 2, characterized in that, During road and platform construction, the first noise threshold was set at 95 dB, and the first dust threshold for PM10 was set at 150 μg / m³. During wind turbine foundation construction, the second noise threshold was set at 105 dB, and the second dust threshold for PM10 was set at 120 μg / m³. During wind turbine hoisting, the third noise threshold was set at 85 dB, and the third dust threshold for PM10 was set at 50 μg / m³.

4. A BIM-based green construction management system for wind power projects according to any one of claims 1 to 3, characterized in that, The construction equipment mentioned above is powered by renewable energy.

5. The BIM-based green construction management system for wind power projects according to claim 4, characterized in that, The construction equipment includes electric cranes and electric excavators.

6. A BIM-based green construction management system for wind power projects according to any one of claims 1 to 3, characterized in that, The construction equipment includes water trucks.

Images