A New Energy Open-Air Infrastructure Site Environmental Monitoring System and Method

Abstract

This invention provides a system and method for monitoring the environment at new energy open-air infrastructure construction sites. It applies drone technology to the construction process, collecting image, temperature, and noise information, thus improving the information collection capabilities for new energy infrastructure construction in open-air environments and enabling long-term on-site data collection. The system collects relevant environmental information and compares, judges, and simulates the collected information. When temperature or noise exceeds a threshold, an alarm is triggered; otherwise, simulations and predictions of environmental changes at the construction site are performed. This assists workers in promptly identifying local environmental changes and potential safety risks caused by construction, providing a basis for adjusting construction procedures, enhancing the timeliness of construction process supervision, improving construction efficiency, reducing the impact of construction on the local environment, and promptly eliminating irreversible damage to the local environment.

Description

Technical Field

[0001] This invention relates to smart infrastructure for new energy, and more particularly to a system and method for on-site environmental monitoring of open-air infrastructure for new energy. Background Technology

[0002] New energy mainly refers to energy sources such as solar and wind power. Compared to traditional fossil fuels, the biggest advantages of new energy are its high renewability, lack of environmental pollution, and abundant resources, allowing for long-term human use. However, the construction of new energy infrastructure projects often involves large-scale environmental modifications. Therefore, the development of new energy sources inevitably causes some degree of environmental damage and pollution. These pollutants spread through the air, further damaging the environment over a wider area. As environmental concerns regarding the construction of new energy infrastructure increase, strengthening the monitoring of environmental changes and reducing localized environmental damage are gradually becoming important directions for the development of new energy infrastructure.

[0003] However, traditional construction processes struggle to control changes in various conditions and factors throughout the process, especially in large open-air environments. Relying solely on manual inspections results in a large workload, numerous blind spots, and localized and delayed information acquisition, making it difficult to achieve real-time, comprehensive, all-round, and uninterrupted control of the construction site. Furthermore, existing inspection methods are also insufficient to provide timely and complete feedback information for adjustments to the project construction. Summary of the Invention

[0004] In response to the impact on the local environment during the construction of new energy open-air infrastructure, this invention proposes a monitoring system and method for the on-site environment of new energy open-air infrastructure construction. This system can acquire environmental change information during the construction of new energy infrastructure in an open-air environment in a timely and comprehensive manner. Furthermore, it can adjust the construction plan in a timely manner based on this environmental change information to reduce pollution and irreversible damage to the environment.

[0005] This invention is achieved through the following technical solution:

[0006] A field environmental monitoring system for new energy open-air infrastructure includes a drone, a computer processing module, and an alarm module; the drone is equipped with an information acquisition module.

[0007] The drone is used to patrol the construction site of new energy open-air infrastructure. It collects image information, temperature information and noise information of the construction site environment through the information collection module, and transmits the image information, temperature information and noise information to the computer processing module.

[0008] The computer processing module is used to compare the received noise information with the noise threshold and the received temperature information with the temperature threshold. If the noise information is higher than the noise threshold or the temperature information is higher than the temperature threshold, the alarm module is activated. Otherwise, the location information of the sound-generating device and the location information of the heat-generating device are extracted from the image information, and the atmospheric change trend of the construction site environment is numerically simulated and predicted in combination with the noise information and temperature information, and the simulation prediction results are obtained and output.

[0009] An alarm module is used to trigger an alarm when the noise level exceeds a noise threshold or the temperature exceeds a temperature threshold.

[0010] Preferably, the information acquisition module includes: a camera, a temperature sensor, and a noise sensor;

[0011] The camera is used to collect image information of the construction site environment and transmit it to the computer processing module; the temperature sensor is used to collect temperature information of the construction site environment and transmit it to the computer processing module; the noise sensor is used to collect noise information of the construction site environment and transmit it to the computer processing module.

[0012] Furthermore, the information acquisition module also includes a dust collection device for collecting dust samples from the construction site environment.

[0013] The alarm module is also used to trigger an alarm when the pollutants in the dust sample exceed the standard.

[0014] Furthermore, multiple drones are deployed, each collecting one of the following: image information, temperature information, noise information, and dust sample.

[0015] Furthermore, the drone collecting dust samples is equipped with a microcontroller and a mass sensor; the mass sensor collects the mass information of the dust collection device and transmits it to the microcontroller, which determines whether the dust collection device is full based on the received mass information. If it is full, the microcontroller controls the drone to return to the set position.

[0016] A method for monitoring the on-site environment of new energy open-air infrastructure construction includes: using drones to patrol the new energy open-air infrastructure construction site and collecting image information, noise information and temperature information of the construction site environment;

[0017] The noise information is compared with the noise threshold, and the temperature information is compared with the temperature threshold. If the noise information is higher than the noise threshold or the temperature information is higher than the temperature threshold, an alarm is triggered. Otherwise, the location information of the sound-generating device and the location information of the heat-generating device are extracted from the image information, and the atmospheric change trend of the construction site environment is numerically simulated and predicted in combination with the noise information and temperature information. The simulation prediction results are then obtained and output.

[0018] Furthermore, the numerical simulation prediction of atmospheric change trends at the construction site specifically includes:

[0019] (1) Construct a three-dimensional spatial model of the construction site using image information and perform mesh division;

[0020] (2) In the three-dimensional spatial model, set the boundary conditions for sound field calculation and the relevant physical property calculation parameters;

[0021] (3) The steady-state sound field distribution is calculated using the absorption attenuation model to obtain the pressure distribution;

[0022] (4) In the three-dimensional space model, set the initial conditions, boundary conditions and related physical property calculation parameters for fluid flow and heat transfer;

[0023] (5) The pressure distribution obtained in step (3) is used as the volume force for flow field calculation. The heating device is equivalent to a heat source at a known spatial geometric location. The flow field and temperature field are coupled for numerical calculation simulation to obtain the simulation prediction results.

[0024] Furthermore, in step (3), when calculating the steady-state sound field distribution, the governing equation used is the pressure acoustic equation in the frequency domain; in step (5), when performing numerical simulation of the coupled flow field and temperature field, the flow field governing equation used is the continuous equation, the NS equation with added volume force term and the energy equation with added heat source term, and the heat transfer equation used is the transient fluid heat transfer equation.

[0025] Preferably, the extraction of the location information of the sound-generating device and the location information of the heat-generating device from the image information specifically involves: using an erosion algorithm to denoise the image information, then using a binarization algorithm to extract the target image from the denoised image information, and finally using an image enhancement algorithm to enhance the target image. Based on the enhanced target image, geometric topology analysis is performed on the images at different times to determine the location of the noise source and the location of the high-heat-generating device.

[0026] Preferably, the method also includes: using drones to patrol the new energy open-air infrastructure construction site, collecting dust samples of the construction site environment; after the dust samples are collected, the drone flies back to the set position to test the composition of the collected dust samples and obtain the test results; if the test results show that the pollutants in the dust samples exceed the standard, an alarm is triggered to remind workers to stop construction; if the pollutants in the dust samples do not exceed the standard, the test results are saved.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] This invention addresses the environmental impact of open-air new energy infrastructure construction by applying drone technology to the construction process. It collects image, temperature, and noise data, enhancing the information gathering capabilities for open-air new energy infrastructure construction and enabling long-term on-site data collection. The system collects relevant environmental information, compares and analyzes it, and performs simulations and predictions. When temperature or noise exceeds a threshold, an alarm is triggered; otherwise, simulations and predictions of environmental changes at the construction site are performed. This assists workers in promptly identifying local environmental changes and potential safety risks caused by construction. Furthermore, it provides a basis for adjusting construction procedures, enhancing the timeliness of construction process supervision, improving efficiency, reducing the impact of construction on the local environment, and promptly eliminating irreversible damage to the local environment.

[0029] Furthermore, the present invention also collects dust samples and monitors whether the pollution in the environment exceeds the standard by testing the dust samples. If the standard is exceeded, the on-site personnel are notified in a timely manner to take active measures to correct the environmental pollution situation in a timely manner.

[0030] Furthermore, each drone is only responsible for collecting one type of environmental information from among image information, temperature information, noise information, and dust information; thereby reducing the modification cost of a single drone, avoiding the impact of a single drone malfunction on the collection of other environmental information, maximizing the integrity and accuracy of the collected environmental information, and reducing programming complexity. Attached Figure Description

[0031] Figure 1 This is a module diagram of an environmental monitoring system for a new energy open-air infrastructure project.

[0032] Figure 2 This is a flowchart of a method for on-site environmental monitoring of new energy open-air infrastructure.

[0033] Figure 3 This is a flowchart of the numerical simulation prediction process of the present invention. Detailed Implementation

[0034] To further understand the present invention, the present invention will be described below with reference to embodiments. These descriptions are only for further explaining the features and advantages of the present invention and are not intended to limit the claims of the present invention.

[0035] like Figure 1 The present invention discloses an on-site environmental monitoring system for new energy open-air infrastructure, comprising a drone, a computer processing module, and an alarm module; the drone is equipped with an information acquisition module; the computer processing module includes an information processing module and an information output module.

[0036] The drone is used to patrol the open-air infrastructure construction sites of new energy projects. It collects local environmental information through an information acquisition module, including image information, temperature information, noise information, and dust samples. Specifically, the information acquisition module collects image information, temperature information, and noise information of the construction site environment and transmits them to the information processing module. The information acquisition module also collects local dust samples in the air at the infrastructure site, and the dust composition is subsequently analyzed manually.

[0037] The information processing module compares the received noise information with the noise threshold and the received temperature information with the temperature threshold. If the noise or temperature exceeds the threshold, the alarm module is activated to notify the workers on site. Otherwise, the received image information is processed to extract the location of the sound-generating equipment and the location of the heat-generating equipment, and to generate a three-dimensional spatial model of the construction site. Then, the collected noise and temperature information are combined with numerical calculation methods to perform numerical simulation and prediction of the atmospheric change trend at the construction site, and the simulation prediction results are obtained.

[0038] The information output module is used to output the simulation prediction results obtained by the information processing module.

[0039] The alarm module is used to trigger an alarm when the noise level exceeds the noise threshold or the temperature exceeds the temperature threshold, and when the pollutants in the dust sample exceed the standard.

[0040] The camera should have high definition, with a resolution of at least 4K. The temperature sensor should be able to quickly detect temperature fluctuations exceeding 0.5℃; the noise sensor should be able to quickly detect noise fluctuations exceeding 7dB.

[0041] Each drone is responsible for collecting only one type of environmental information, which reduces drone modification costs. Even if one drone is damaged, it will not affect the collection of other environmental information. Most importantly, it can use a parallel programming architecture, reducing programming difficulty. The number of drones used for each type of information collection is determined by the size of the construction site. During the modification process, the drone responsible for collecting dust samples is equipped with a microcontroller-based control circuit integrated module and a mass sensor for sensing the dust collection device. The microcontroller is pre-loaded with a judgment and analysis program to detect changes in the mass of the dust collection device. The program is set with the mass or capacity information of the collection device to determine whether it is full of dust. If it is full, the program controls the drone to return to the set position.

[0042] like Figure 2 As shown, the present invention provides a method for on-site environmental monitoring of new energy open-air infrastructure, the specific implementation process of which is as follows:

[0043] First, drones were used to collect image information, noise information, temperature information, and dust samples of the construction site environment.

[0044] Then, the drone transmits the collected image, noise, and temperature information back to the information processing module. This module first judges the noise and temperature values. If at least one of these indicators exceeds its corresponding threshold, the alarm module is activated to remind workers to stop construction and to investigate potential safety hazards in the construction environment or adjust the construction process. If neither noise nor temperature exceeds its corresponding threshold, image information processing is performed. Image processing technology is used to extract the location information of the sound-generating equipment and the heat-generating equipment, and to generate a three-dimensional spatial model of the construction site. Then, combined with the collected noise and temperature information, numerical calculation methods are used to perform numerical simulation and prediction of atmospheric change trends at the construction site, obtaining the simulation prediction results.

[0045] In the numerical simulation prediction of atmospheric change trends at construction sites, this invention does not employ the common multi-physics coupling calculation method involving sound, temperature, and flow fields. While this method offers high accuracy, it is time-consuming and cannot adequately address the constantly changing environment at construction sites. Therefore, to quickly and accurately simulate and predict environmental changes, this invention employs the following approach in numerical simulation prediction: Figure 3 The calculation process is shown below:

[0046] (1) Construct a three-dimensional spatial model of the construction site using image information and perform mesh division;

[0047] (2) In the three-dimensional spatial model, set the boundary conditions for sound field calculation and the relevant physical property calculation parameters;

[0048] (3) The steady-state sound field distribution is calculated using the absorption attenuation model to obtain the pressure distribution; the control equation in this process uses the pressure acoustic equation in the frequency domain (i.e., the Helmholtz equation form);

[0049] (4) In the three-dimensional space model, set the initial conditions, boundary conditions and related physical property calculation parameters for fluid flow and heat transfer;

[0050] (5) The pressure distribution obtained in step (3) is used as the volume force for flow field calculation. The heating device is equivalent to a heat source at a known spatial geometric location in the calculation. The flow field and temperature field are coupled for numerical simulation. The flow field control equation adopts the continuous equation, the NS equation (with added volume force term), and the energy equation (with added heat source term). The heat transfer equation adopts the transient fluid heat transfer equation.

[0051] (6) Output the results of the numerical simulation in step (5). These results serve as the basis for studying and analyzing the environmental impact during construction and provide a reference for optimizing the construction process later.

[0052] Further explanation is needed: Since the natural flow velocity in the atmosphere is very slow, its ability to increase the heat transfer rate is far less than that in the case of forced convection, and there are no local areas with large pressure gradients; therefore, the background flow field is approximately considered to be stable, with an initial velocity of zero and a pressure of atmospheric pressure; in addition, the numerical simulation prediction is conducted after confirming that there are no sound-generating or heat-generating devices exceeding the predetermined threshold in the construction environment, so it is approximately assumed that the flow driving force in the atmospheric flow field comes from gravity and the acoustic disturbance of the sound-generating devices.

[0053] Finally, the information output module outputs the prediction results to provide staff with a reference, and staff can also make adjustments to the construction process and schedule based on the prediction results.

[0054] While the above workflow is underway, the drone continuously collects dust samples during its flight. Once the dust sample collection device is full, the drone automatically flies back to the designated location according to the program settings, where staff retrieve the collected dust samples for composition analysis and obtain the test results. If the test results show that the pollutants in the dust sample exceed the standard, the alarm module is activated directly to remind workers to stop construction; if the pollutants in the dust sample do not exceed the standard, the test results are saved.

[0055] This invention utilizes drones to collect real-time information from construction sites. A computer processing module quickly identifies local environmental changes and safety risks caused by construction and provides timely feedback to help construction personnel adjust their plans and eliminate potential damage caused by local environmental changes. This system effectively enhances the information collection capabilities during the construction of new energy open-air infrastructure, ensures the safety of construction personnel, allows for timely adjustments to construction processes to reduce pollution to the local environment, and eliminates irreversible damage to the local environment.

[0056] The above description is merely the best specific embodiment of the invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the technical scope, design concept and method disclosed in the present invention, based on the technical solution of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for on-site environmental monitoring of new energy open-air infrastructure, characterized in that, include: Drones were used to patrol the open-air infrastructure construction sites of new energy projects, collecting image, noise, and temperature information of the construction site environment. The noise information is compared with the noise threshold, and the temperature information is compared with the temperature threshold. If the noise information is higher than the noise threshold or the temperature information is higher than the temperature threshold, an alarm is triggered. Otherwise, the location information of the sound-generating device and the location information of the heat-generating device are extracted from the image information, and the atmospheric change trend of the construction site environment is numerically simulated and predicted in combination with the noise information and temperature information. The simulation prediction results are obtained and output. The specific steps for extracting the location information of the sound-generating device and the location information of the heat-generating device from the image information are as follows: the image information is denoised using an erosion algorithm, the target image is extracted from the denoised image information using a binarization algorithm, and finally the target image is enhanced using an image enhancement algorithm. Based on the enhanced target image, geometric topology analysis is performed on the images at different times to determine the location of the noise source and the location of the high-heat-generating device. The numerical simulation prediction of atmospheric change trends at the construction site specifically includes: (1) Construct a three-dimensional spatial model of the construction site using image information and perform mesh generation; (2) In the three-dimensional spatial model, set the boundary conditions for sound field calculation and the relevant physical property calculation parameters; (3) The steady-state sound field distribution is calculated using the absorption attenuation model to obtain the pressure distribution; (4) In the three-dimensional space model, set the initial conditions, boundary conditions and relevant physical property calculation parameters for fluid flow and heat transfer; (5) The pressure distribution obtained in step (3) is used as the volume force for flow field calculation. The heating device is equivalent to a heat source at a known spatial geometric location. The flow field and temperature field are coupled for numerical calculation simulation to obtain the simulation prediction results.

2. The method for on-site environmental monitoring of new energy open-air infrastructure according to claim 1, characterized in that, In step (3), when calculating the steady-state sound field distribution, the governing equation used is the pressure acoustic equation in the frequency domain; in step (5), when performing numerical simulation of the coupled flow field and temperature field, the flow field governing equation used is the continuous equation, the NS equation with added volume force term and the energy equation with added heat source term, and the heat transfer equation used is the transient fluid heat transfer equation.

3. The method for on-site environmental monitoring of new energy open-air infrastructure according to claim 1, characterized in that, Also includes: Drones were used to patrol the open-air infrastructure construction site of new energy and collect dust samples from the construction site environment. After the dust samples were collected, the drones flew back to the set position to test the composition of the collected dust samples and obtain the test results. If the test results show that the pollutants in the dust sample exceed the standard, an alarm will be triggered to remind workers to stop construction; if the pollutants in the dust sample do not exceed the standard, the test results will be saved.

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