An environmental monitoring method, system and device based on 5G sensor network

Abstract

The present application relates to the field of environmental monitoring technology, and in particular to an environmental monitoring method, system and device based on a 5G sensor network. The method comprises: obtaining environmental data collected by the sensor and scanned data scanned by the drone; analyzing the scanned data to determine the construction scope; analyzing the environmental data based on the construction scope to obtain data analysis results, and determining whether there is over-range pollution based on the data analysis results; if so, a pollution warning is issued based on the data analysis results. Real-time monitoring of environmental data is achieved to ensure that environmental changes can be quickly captured and responded to. The combined use of sensors and drones can provide multi-angle data on the ground and in the air to achieve comprehensive coverage of the construction area. High-precision environmental sensors and advanced image recognition technology can ensure the accuracy and reliability of the data.

Description

Technical Field

[0001] The present application relates to the field of environmental monitoring technology, and in particular to an environmental monitoring method, system and device based on a 5G sensor network. Background Art

[0002] With the rapid development of my country's economy, the scale of urban infrastructure construction has continued to expand, and environmental problems in the construction process have become increasingly prominent. Environmental pollution and other problems caused by construction have had a serious impact on the surrounding environment and residents' lives.

[0003] There have been some studies and applications on environmental monitoring at home and abroad, such as environmental monitoring systems based on the Internet of Things, environmental monitoring technologies based on wireless sensor networks, etc. However, these technologies have certain limitations in practical applications, such as limited monitoring range, large data transmission delay, and low monitoring accuracy.

[0004] During the construction process, especially for large-scale construction projects, the construction scope is wide and the environmental pollution sources are complex. Traditional environmental monitoring methods rely on manual regular testing or fixed monitoring points for data collection, which is inefficient and difficult to ensure data accuracy. How to effectively monitor pollution sources throughout the construction process and take corresponding countermeasures in a timely manner has become a major challenge in environmental protection. Summary of the invention

[0005] The present application provides an environmental monitoring method, system and device based on a 5G sensor network to solve the above problems.

[0006] In a first aspect, the present application provides an environment monitoring method based on a 5G sensor network, the environment monitoring method is applied to an environment monitoring device based on a 5G sensor network, the environment monitoring device based on the 5G sensor network includes a sensor, a drone, and a server, the method is applied to the server, including:

[0007] Acquire environmental data collected by the sensor and scan data scanned by the drone;

[0008] Analyze the scan data to determine the construction scope;

[0009] Based on the construction scope, analyzing the environmental data to obtain data analysis results, and determining whether there is over-scope pollution according to the data analysis results;

[0010] If so, a pollution warning will be issued based on the data analysis results.

[0011] Through this solution, the 5G sensor network can realize real-time monitoring of environmental data, ensuring that environmental changes can be quickly captured and responded to. The combined use of sensors and drones can provide multi-angle data on the ground and in the air, achieving comprehensive coverage of the construction area. High-precision environmental sensors and advanced image recognition technology can ensure the accuracy and reliability of data. Once the environmental pollution exceeds the standard, the early warning mechanism can be triggered immediately, allowing relevant managers to take countermeasures quickly.

[0012] Optionally, analyzing the scan data to determine the construction scope includes:

[0013] Analyzing the scan data to obtain a scan analysis result, and determining a facility shape of the construction facility according to the scan analysis result;

[0014] Determining the facility type of each construction facility according to the facility shape;

[0015] Determine the enclosure facility according to the facility type, and determine the location of the enclosure facility according to the scanning data;

[0016] The construction scope is determined according to the location of the enclosure facilities.

[0017] Through this solution, image data of the construction area can be quickly obtained through drone scanning and 5G transmission, without manual inspections, saving time and labor costs. The automated scanning and analysis process reduces human errors and improves the accuracy and reliability of monitoring data. The real-time transmission and analysis of scanned data enables information on construction scope and facility type to be updated in real time, providing the latest data for environmental monitoring. Determining the location of enclosure facilities helps to evaluate the effectiveness of enclosures. Combined with environmental sensor data, the overall environmental changes at the construction site can be fully monitored, including various pollution sources such as dust and noise.

[0018] Optionally, the environmental data includes dust data, and determining whether there is excessive pollution according to the data analysis result includes:

[0019] Determining the setting height of the enclosure facility according to the scanning data;

[0020] Analyzing the dust data to determine whether there is a dust area higher than the set height;

[0021] If so, analyzing the dust data to determine the amount of dust above the set height;

[0022] Comparing the dust amount with a preset safe dust amount to determine whether the dust amount is higher than the preset safe dust amount;

[0023] If it is higher, it is determined that there is out-of-range contamination.

[0024] Through this solution, the 5G sensor network can realize real-time monitoring of dust data to ensure timely detection of environmental pollution problems. Through real-time monitoring, dust pollution hotspots inside and outside the construction area can be quickly identified. The distribution and concentration of dust can be monitored more accurately, improving the accuracy of monitoring. Once the dust concentration is detected to exceed the preset safe dust volume, an early warning can be issued immediately. Real-time data and early warning mechanisms help optimize environmental control measures during construction and reduce dust pollution. By controlling dust emissions, the health risks of construction workers and surrounding residents can be reduced.

[0025] Optionally, analyzing the dust data to determine the amount of dust above the set height includes:

[0026] Determine whether dust suppression spray equipment is provided on the enclosure facility according to the scanning data;

[0027] If so, analyzing the environmental data to determine the spraying height and spraying range of the dust suppression spraying equipment;

[0028] Determine whether there is a missed area based on the spray range;

[0029] If so, the spray height is compared with the height of the dust area to determine whether there is dust higher than the spray height;

[0030] If it exists, the dust amount above the spraying height and the dust amount in the omitted area will be regarded as the dust amount above the set height.

[0031] Through this solution, the degree and scope of dust pollution can be accurately assessed through the analysis of dust data, providing a scientific basis for environmental management. The analysis results can help optimize the layout and spray parameters of dust reduction spray equipment and improve the dust reduction effect. By identifying missed areas, dust reduction measures can be adjusted in a timely manner to ensure full coverage of the construction area and reduce environmental pollution. Real-time data analysis and early warning mechanisms enable managers to respond quickly to dust pollution problems and take effective control measures. The environmental pollution data and analysis results provided provide decision support for environmental managers.

[0032] Optionally, the environmental data further includes noise data, and determining whether there is excessive pollution according to the data analysis result includes:

[0033] Determine the construction location according to the scanning data;

[0034] Determine the noise standard according to the construction location;

[0035] Determining the type of construction project according to the scanning and analysis results;

[0036] Determine building structural barriers based on the type of construction project in question;

[0037] Determining a construction phase based on the scan data;

[0038] Based on the construction stage, determining the noise isolation during the construction process according to the building structure barrier and the scanning analysis results;

[0039] Determine whether there is over-range pollution based on the noise isolation conditions and the noise standards.

[0040] Through this solution, by collecting and analyzing data in real time, environmental pollution problems can be discovered in a timely manner, and early warnings can be issued as soon as pollution exceeds the standard, thus reducing the impact of environmental pollution. The 5G sensor network can achieve full coverage of the construction site, improving monitoring efficiency and coverage. Through multi-dimensional data collection and analysis, accurate data support is provided to environmental management personnel, so that when excessive pollution is found, measures can be taken quickly to prevent the spread of pollution. Through monitoring data, the responsible party can be identified and those who violate the emission regulations can be held accountable.

[0041] Optionally, the determining of the noise isolation condition during the construction process based on the construction stage, according to the building structure barrier and the scanning analysis result, includes:

[0042] Based on the construction stage, determining current construction facilities;

[0043] Determining the placement position of the current construction facility according to the shape of the facility;

[0044] Determine the noise shielding effect of each construction facility based on the type of facility;

[0045] The noise isolation situation during the construction process is determined based on the building structure barrier, the placement position and the noise shielding effect.

[0046] Through this solution, noise pollution can be more effectively controlled and the impact on the surrounding environment and residents can be reduced by accurately analyzing construction facilities, building structure barriers and noise propagation. Based on the analysis results of noise isolation, the placement of construction facilities and construction layout can be optimized to minimize noise propagation. Real-time monitoring and analysis of noise data can help to promptly identify noise problems and take corresponding measures to improve the efficiency of noise management. Through effective noise isolation measures, complaints from residents caused by noise pollution can be reduced, reducing the risk of environmental disputes.

[0047] Optionally, the environmental data includes wind data, and the analyzing the environmental data to determine the spraying height and spraying range of the dust suppression spraying equipment includes:

[0048] Obtaining the spraying properties of the dust suppression spraying equipment;

[0049] Analyzing the spray properties and determining the spray intensity;

[0050] Determining a spray deviation angle and a spray deviation height according to the wind force data and the spray intensity;

[0051] Determining a spray range according to the spray deviation angle;

[0052] Determining a spray height according to the spray deviation height;

[0053] The step of determining whether there is a missing area according to the spraying range includes:

[0054] Analyzing the dust data to determine dust density;

[0055] Determine, according to the wind data and the dust density, a range change of dust caused by the wind data;

[0056] According to the range change, determine whether there is dust beyond the construction range;

[0057] If it exists, the location of the dust beyond the scope of the construction will be determined to determine the missed area.

[0058] Through this solution, by analyzing wind data and spray properties, the spray height and spray range of the spray equipment can be accurately controlled to ensure that the water mist can effectively cover the dust area and improve the dust reduction effect. Real-time monitoring and analysis of environmental data can promptly detect dust pollution problems and take corresponding countermeasures to improve the efficiency and response speed of environmental monitoring. Reduce dust leakage caused by insufficient spray range, reduce the impact on the surrounding environment and residents, and reduce the risk of environmental pollution. By accurately adjusting the spray intensity and spray range, the waste of water resources can be reduced and the utilization efficiency of water resources can be improved.

[0059] In a second aspect, the present application provides an environmental monitoring device based on a 5G sensor network, including a sensor, a drone, and a server;

[0060] The sensor is used to collect environmental data;

[0061] The drone is used to scan the scan data of the construction area;

[0062] The server is used to perform environmental monitoring based on a 5G sensor network as described in any one of the first aspects.

[0063] Optionally, the device further comprises a spray system;

[0064] The sprinkler system, the sensor, the drone, and the server form a 5G network. When the sprinkler system is started, the sensor is started synchronously with the 5G network with low latency to monitor the sprinkler status.

[0065] The sensor includes a receiver. When the drone takes off, the drone transmits the scanning data to the receiver of the sensor through the 5G network. After receiving the scanning data, the receiver binds the scanning data with the environmental data according to the timeline, and uploads the bound scanning data and environmental data to the server.

[0066] The sensor includes a wind direction and wind speed sensor, which is used to obtain wind force data at the current moment.

[0067] In a third aspect, the present application provides an environmental monitoring system based on a 5G sensor network, the system comprising:

[0068] A data acquisition module is used to acquire environmental data collected by sensors and scanned data scanned by drones;

[0069] A data analysis module, used to analyze the scan data and determine the construction scope;

[0070] A pollution analysis module, used to analyze the environmental data based on the construction scope, obtain data analysis results, and determine whether there is over-scope pollution according to the data analysis results;

[0071] The pollution warning module is used to issue a pollution warning according to the data analysis result if any.

[0072] Optionally, when the data analysis module analyzes the scan data to determine the construction scope, it is used to:

[0073] Analyzing the scan data to obtain a scan analysis result, and determining a facility shape of the construction facility according to the scan analysis result;

[0074] Determining the facility type of each construction facility according to the facility shape;

[0075] Determine the enclosure facility according to the facility type, and determine the location of the enclosure facility according to the scanning data;

[0076] The construction scope is determined according to the location of the enclosure facilities.

[0077] Optionally, the environmental data includes dust data, and when the pollution analysis module determines whether there is excessive pollution according to the data analysis result, it is used to:

[0078] Determining the setting height of the enclosure facility according to the scanning data;

[0079] Analyzing the dust data to determine whether there is a dust area higher than the set height;

[0080] If so, analyzing the dust data to determine the amount of dust above the set height;

[0081] Comparing the dust amount with a preset safe dust amount to determine whether the dust amount is higher than the preset safe dust amount;

[0082] If it is higher, it is determined that there is out-of-range contamination.

[0083] Optionally, when the pollution analysis module analyzes the dust data and determines the amount of dust above the set height, it is used to:

[0084] Determine whether dust suppression spray equipment is provided on the enclosure facility according to the scanning data;

[0085] If so, analyzing the environmental data to determine the spraying height and spraying range of the dust suppression spraying equipment;

[0086] Determine whether there is a missed area based on the spray range;

[0087] If so, the spray height is compared with the height of the dust area to determine whether there is dust higher than the spray height;

[0088] If it exists, the dust amount above the spraying height and the dust amount in the omitted area will be regarded as the dust amount above the set height.

[0089] Optionally, the environmental data also includes noise data, and when the pollution analysis module determines whether there is excessive pollution according to the data analysis result, it is used to:

[0090] Determine the construction location according to the scanning data;

[0091] Determine the noise standard according to the construction location;

[0092] Determining the type of construction project according to the scanning and analysis results;

[0093] Determine building structural barriers based on the type of construction project in question;

[0094] Determining a construction phase based on the scan data;

[0095] Based on the construction stage, determining the noise isolation during the construction process according to the building structure barrier and the scanning analysis results;

[0096] Determine whether there is over-range pollution based on the noise isolation conditions and the noise standards.

[0097] Optionally, when the pollution analysis module determines the noise isolation during the construction process based on the construction stage, the building structure barrier and the scanning analysis result, it is used to:

[0098] Based on the construction stage, determining current construction facilities;

[0099] Determining the placement position of the current construction facility according to the shape of the facility;

[0100] Determine the noise shielding effect of each construction facility based on the type of facility;

[0101] The noise isolation situation during the construction process is determined based on the building structure barrier, the placement position and the noise shielding effect.

[0102] Optionally, the environmental data includes wind data, and the pollution analysis module analyzes the environmental data to determine the spraying height and spraying range of the dust reduction spraying equipment, which is used to:

[0103] Obtaining the spraying properties of the dust suppression spraying equipment;

[0104] Analyzing the spray properties and determining the spray intensity;

[0105] Determining a spray deviation angle and a spray deviation height according to the wind force data and the spray intensity;

[0106] Determining a spray range according to the spray deviation angle;

[0107] Determining a spray height according to the spray deviation height;

[0108] When the pollution analysis module determines whether there is a missed area according to the spray range, it is used to:

[0109] Analyzing the dust data to determine dust density;

[0110] Determine, according to the wind data and the dust density, a range change of dust caused by the wind data;

[0111] According to the range change, determine whether there is dust beyond the construction range;

[0112] If it exists, the location of the dust beyond the scope of the construction will be determined to determine the missed area. BRIEF DESCRIPTION OF THE DRAWINGS

[0113] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0114] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application;

[0115] Figure 2 A flowchart of an environmental monitoring method based on a 5G sensor network provided in one embodiment of the present application;

[0116] Figure 3 A schematic diagram of the structure of an environmental monitoring system based on a 5G sensor network is provided for one embodiment of the present application. DETAILED DESCRIPTION

[0117] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0118] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0119] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0120] During the construction process, especially for large-scale construction projects, the construction scope is wide and the environmental pollution sources are complex. Traditional environmental monitoring methods rely on manual regular testing or fixed monitoring points for data collection, which is inefficient and difficult to ensure data accuracy. How to effectively monitor pollution sources throughout the construction process and take corresponding countermeasures in a timely manner has become a major challenge in environmental protection.

[0121] Based on this, the present application provides an environmental monitoring method, system and device based on a 5G sensor network. The environmental monitoring method is applied to an environmental monitoring device based on a 5G sensor network. The environmental monitoring device based on a 5G sensor network includes a sensor, a drone and a server. The method is applied to the server, including: obtaining environmental data collected by the sensor and scanning data scanned by the drone; analyzing the scanning data to determine the construction scope; analyzing the environmental data based on the construction scope to obtain data analysis results, and determining whether there is over-range pollution according to the data analysis results; if there is, a pollution warning is issued according to the data analysis results. Through the 5G sensor network, real-time monitoring of environmental data can be achieved to ensure that environmental changes can be quickly captured and responded to. The combined use of sensors and drones can provide multi-angle data on the ground and in the air to achieve comprehensive coverage of the construction area. High-precision environmental sensors and advanced image recognition technology can ensure the accuracy and reliability of the data. Once it is detected that the environmental pollution exceeds the standard, the early warning mechanism can be triggered immediately, so that relevant managers can quickly take countermeasures.

[0122] Figure 1 A schematic diagram of an application scenario provided for this application, when monitoring the impact of construction on the surrounding environment, the method provided by this application is applied. Specifically, the method provided by this application is applied to any server, and the server, sensor and drone interact to obtain environmental data collected by the sensor and scanned data scanned by the drone; the high rate and low latency characteristics of the 5G network allow sensor data to be transmitted in real time, and the scanning data of the drone provides a high-resolution and high-coverage view. The combination of the two provides comprehensive environmental monitoring capabilities. Drone scanning can quickly and accurately define the scope of construction, reduce the time and error of manual surveys, and improve the accuracy of construction management; by limiting the analysis of environmental data to the scope of construction, it can focus more on the impact of construction activities on the environment, so as to more effectively evaluate and monitor the pollution during the construction process. Real-time data analysis can quickly identify potential pollution problems, allowing managers to take prompt action to prevent the expansion of pollution. The pollution early warning system can issue an alarm before the pollution exceeds the standard, allowing managers to take timely measures to prevent environmental problems from occurring.

[0123] For specific implementation methods, please refer to the following embodiments.

[0124] Figure 2 This is a flowchart of an environmental monitoring method based on a 5G sensor network provided in an embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. Figure 2 As shown, the method includes:

[0125] S201, acquiring environmental data collected by sensors and scanned data scanned by drones;

[0126] Environmental data can be quantitative or qualitative information collected through various environmental sensors that reflects environmental conditions, such as air quality, noise level, temperature, humidity, wind speed, wind direction, dust concentration, PM2.5 and PM10 particulate matter content, etc.

[0127] Scanning data can be images or point cloud data acquired by equipment such as drones.

[0128] Specifically, in the process of construction, especially large-scale construction projects, the construction scope is wide and the environmental pollution sources are complex. How to effectively monitor the pollution sources throughout the construction process has become a major challenge in environmental protection. With the rapid development of 5G communication technology, 5G sensor networks, as a new monitoring method, provide more efficient and accurate solutions for environmental monitoring with their advantages of high speed, low latency and large-scale connection. Install various environmental sensors in the construction area, such as dust concentration sensors, noise monitors, air quality sensors, etc., to monitor environmental parameters in real time. Send drones to scan in the air to obtain visual images and terrain data of the construction area. Ensure that drones and sensors establish a stable data connection with the server through the 5G network. Sensors and drones transmit the collected data to the server in real time to achieve rapid data updates.

[0129] S202, analyzing the scanning data and determining the construction scope;

[0130] The construction scope can be a specific area where construction or other engineering activities are carried out, such as a construction site, road construction area, bridge construction area, etc.

[0131] Specifically, the images taken by drones are processed and image recognition technology is used to determine the boundaries and locations of construction facilities. In combination with GIS technology, image data is combined with actual geographic location information to accurately define the scope of construction.

[0132] S203, analyzing environmental data based on the construction scope to obtain data analysis results, and determining whether there is excessive pollution based on the data analysis results;

[0133] Over-scope pollution can be the discharge or impact of pollutants within or outside the construction scope that exceeds the predetermined safety standards or specified limits.

[0134] Specifically, we analyze the environmental data collected inside and outside the construction area, apply statistical analysis and machine learning algorithms to analyze the fused data, and identify trends and patterns of environmental changes. We set safety thresholds for pollutants such as dust and noise according to national and local environmental protection standards. We compare the analysis results with the safety thresholds to assess whether there is any over-range pollution.

[0135] S204. If it exists, a pollution warning is issued based on the data analysis results.

[0136] Pollution warning can be an automatic warning issued when the environmental monitoring system detects that the concentration of pollutants or other environmental parameters exceed the preset safety threshold.

[0137] Specifically, if there is pollution beyond the scope, the early warning mechanism will be triggered immediately based on the continuously monitored environmental data and the safety threshold exceeded.

[0138] Through this solution, the 5G sensor network can realize real-time monitoring of environmental data, ensuring that environmental changes can be quickly captured and responded to. The combined use of sensors and drones can provide multi-angle data on the ground and in the air, achieving comprehensive coverage of the construction area. High-precision environmental sensors and advanced image recognition technology can ensure the accuracy and reliability of data. Once the environmental pollution exceeds the standard, the early warning mechanism can be triggered immediately, allowing relevant managers to take countermeasures quickly.

[0139] In some embodiments, the scanning data is analyzed to obtain scanning analysis results, and the facility shape of the construction facility is determined based on the scanning analysis results; the facility type of each construction facility is determined based on the facility shape; the enclosure facility is determined based on the facility type, and the location of the enclosure facility is determined based on the scanning data; and the construction scope is determined based on the location of the enclosure facility.

[0140] The scanning analysis results can be information obtained by analyzing the image data obtained by the drone, such as the recognition, classification, positioning and quantitative analysis of objects in the image.

[0141] The facility shape can be the external outline and geometric features of the construction facility.

[0142] Construction facilities can be various equipment and structures used in the construction process, such as buildings, tower cranes, scaffolding, construction vehicles, temporary offices, etc.

[0143] Facility type can be the result of classifying facilities according to their functional and structural characteristics, such as buildings, mechanical equipment, temporary structures, etc.

[0144] Fence facilities can be temporary barriers set up around the construction area to isolate the construction area and prevent noise, dust and other pollutants generated during the construction process from affecting the surrounding environment.

[0145] The location of the enclosure facility may be the specific geographic coordinates or relative position of the enclosure facility at the construction site.

[0146] The construction scope can be the area where construction activities are actually carried out, which is defined by fencing facilities.

[0147] Specifically, the image data scanned by the drone is preprocessed, including image enhancement and noise removal, to improve the image quality. Image segmentation technology is used to separate the construction facilities from the background in the drone scanned image so that the facilities can be analyzed separately. Image recognition algorithms, such as convolutional neural networks (CNN), are used to identify and analyze the shape characteristics of construction facilities, such as rectangles, circles, etc. Based on the identified shape of the facilities, their structural characteristics, such as height and length, are further analyzed to determine the type of facilities, such as buildings, tower cranes, enclosures, etc. After the construction facilities are identified, the location and layout of the enclosure facilities are analyzed through scanning data to determine their coverage. Combined with the location of the enclosure facilities and the distribution of the construction facilities, the entire construction scope is delineated to provide a clear monitoring area for environmental monitoring.

[0148] Through this solution, image data of the construction area can be quickly obtained through drone scanning and 5G transmission, without manual inspections, saving time and labor costs. The automated scanning and analysis process reduces human errors and improves the accuracy and reliability of monitoring data. The real-time transmission and analysis of scanned data enables information on construction scope and facility type to be updated in real time, providing the latest data for environmental monitoring. Determining the location of enclosure facilities helps to evaluate the effectiveness of enclosures. Combined with environmental sensor data, the overall environmental changes at the construction site can be fully monitored, including various pollution sources such as dust and noise.

[0149] In some embodiments, the environmental data includes dust data, and the setting height of the enclosure facility is determined based on the scanning data; the dust data is analyzed to determine whether there is a dust area higher than the set height; if so, the dust data is analyzed to determine the amount of dust higher than the set height; the dust amount is compared with the preset safe dust amount to determine whether the dust amount is higher than the preset safe dust amount; if higher, it is determined that there is out-of-range pollution.

[0150] The setting height can be the installation height of the enclosure facilities (such as fences, baffles, etc.).

[0151] Dust data can be data such as dust concentration and particle size collected by environmental sensors or monitoring equipment.

[0152] The dust amount may be the total amount of dust accumulated at a location higher than a set height within a preset time.

[0153] The preset safe dust volume can be the maximum allowable dust concentration level set according to national and local environmental protection regulations, standards and guidelines.

[0154] Specifically, through the 5G sensor network, dust data from the construction site is collected in real time, including information such as dust concentration and particle size. Analyze the scan data to determine the setting height of the enclosure facilities in the construction area, which is the upper limit of dust diffusion that will not cause pollution outside the construction scope. Analyze the collected dust data in real time to identify the changes in dust concentration over time and space. Through data analysis, identify areas in the construction site where the dust concentration is higher than normal. Compare the height of the identified dust area with the setting height of the enclosure facilities to determine whether the dust exceeds the effective control range of the enclosure facilities. For dust areas that are higher than the setting height of the enclosure, quantify the dust amount in the area, and compare the quantified dust amount with the pre-set safe dust amount standard. If the dust amount is higher than the preset safe dust amount standard, it is determined that there is over-range pollution in the area.

[0155] Through this solution, the 5G sensor network can realize real-time monitoring of dust data to ensure timely detection of environmental pollution problems. Through real-time monitoring, dust pollution hotspots inside and outside the construction area can be quickly identified. The distribution and concentration of dust can be monitored more accurately, improving the accuracy of monitoring. Once the dust concentration is detected to exceed the preset safe dust volume, an early warning can be issued immediately. Real-time data and early warning mechanisms help optimize environmental control measures during construction and reduce dust pollution. By controlling dust emissions, the health risks of construction workers and surrounding residents can be reduced.

[0156] In some embodiments, based on the scanning data, it is determined whether dust reduction spray equipment is installed on the enclosure facility; if so, the environmental data is analyzed to determine the spraying height and spraying range of the dust reduction spray equipment; based on the spraying range, it is determined whether there is a missed area; if so, the spraying height is compared with the height of the dust area to determine whether there is dust higher than the spraying height; if so, the amount of dust above the spraying height and the amount of dust in the missed area are taken as the amount of dust above the set height.

[0157] Dust suppression spray equipment can be a device that reduces the dust concentration in the air by spraying water mist to absorb and settle dust particles in the air, thereby reducing the spread of dust and environmental pollution.

[0158] The spray height can be the highest point that the dust suppression spray equipment can reach when spraying water mist.

[0159] The spraying range can be the volume that can be covered by the water mist sprayed by the dust suppression spraying equipment.

[0160] Missed areas may be areas outside the spray range of dust suppression sprinklers; this may result in inadequate dust control as the sprinklers are unable to reach them.

[0161] Specifically, use drones and other equipment to scan the construction site to obtain image and video data of the enclosure facilities and their surrounding areas. Use image recognition technology to analyze the scan data to determine whether dust reduction spray equipment is installed on the enclosure facilities. If there is a dust reduction spray equipment, analyze the scan data to determine the specific parameters of the spray equipment, including the spray height and spray range. According to the parameters of the spray equipment, analyze the scan data to determine whether there are missed areas not covered by the spray equipment. Through the 5G sensor network, collect dust data from the construction site in real time, including information such as dust concentration and particle size. Analyze the dust data to determine the areas where the dust concentration exceeds the preset safety standard and measure the height of these areas. Compare the height of the spray equipment with the height of the dust area to determine whether there is dust higher than the height of the spray equipment. For dust areas higher than the height of the spray equipment, quantify the dust amount in the area, and for missed areas not covered by the spray equipment, quantify the dust amount in the area. Add the dust amount above the spray height and the dust amount in the missed area to obtain the total amount of dust above the set height.

[0162] Through this solution, the degree and scope of dust pollution can be accurately assessed through the analysis of dust data, providing a scientific basis for environmental management. The analysis results can help optimize the layout and spray parameters of dust reduction spray equipment and improve the dust reduction effect. By identifying missed areas, dust reduction measures can be adjusted in a timely manner to ensure full coverage of the construction area and reduce environmental pollution. Real-time data analysis and early warning mechanisms enable managers to respond quickly to dust pollution problems and take effective control measures. The environmental pollution data and analysis results provided provide decision support for environmental managers.

[0163] In some embodiments, the environmental data also includes noise data, and the construction location is determined based on the scanning data; the noise standard is determined based on the construction location; the type of construction project is determined based on the scanning analysis results; the building structure barrier is determined based on the type of construction project; the construction stage is determined based on the scanning data; based on the construction stage, the noise isolation condition during the construction process is determined according to the building structure barrier and the scanning analysis results; and whether there is over-range pollution is determined based on the noise isolation condition and the noise standard.

[0164] Noise data can be data about the noise level at the construction site collected by noise monitoring equipment, such as the decibel value, frequency distribution, duration, etc. of the noise.

[0165] The construction location can be the specific place where the construction is carried out, which can be an area in the city, a suburb, an industrial area, etc.

[0166] Noise standards can be noise level limits set according to national and regional environmental protection regulations, standards and guidelines.

[0167] The type of construction project can be the nature and function of the building construction project, such as residential buildings, commercial buildings, industrial plants, public facilities, etc. Different types of construction projects will have different noise generation characteristics and noise control requirements.

[0168] Structural barriers can be physical structures set up at the construction site to reduce noise transmission, such as soundproof walls, enclosures, vegetation, etc., to reduce the impact of noise on the surrounding environment.

[0169] The construction stage can be different stages in the construction process, such as the civil engineering stage, decoration stage, equipment installation stage, etc. Construction activities at different stages will produce different noise levels and characteristics.

[0170] Noise isolation can be the effect of building structural barriers and other noise control measures on the isolation of noise propagation on the construction site; it is evaluated by measuring noise levels, analyzing noise propagation paths and evaluating the sound insulation performance of barriers.

[0171] Specifically, the specific location and boundaries of the construction site are determined using drone scanning data and 5G sensor networks. According to local environmental protection regulations and standards, the noise standards applicable to the construction location are determined, including the maximum allowable noise level and noise limits at different times. By analyzing the scanning data, the type of construction project is identified, such as pipeline maintenance, road repair, circuit modification, etc., because different types of construction projects will generate different levels of noise. According to the type of construction project and the site layout, the building structure barriers that may be used for noise isolation, such as enclosures, sound insulation boards, vegetation, etc., are determined. The current stage of the construction project, such as the civil construction stage, excavation stage, etc., are determined by analyzing the scanning data and on-site observations, because different stages will generate different noise levels. Noise monitoring equipment deployed using the 5G sensor network is used to collect noise data from the construction site in real time. The collected noise data is analyzed in real time to evaluate whether the noise level meets the pre-set standards; combined with the building structure barriers and site layout, the effectiveness of the existing noise isolation measures is evaluated. The monitored noise level is compared with the set noise standard. If the monitored noise level exceeds the set standard, it is determined that there is over-range noise pollution.

[0172] Through this solution, by collecting and analyzing data in real time, environmental pollution problems can be discovered in a timely manner, and early warnings can be issued as soon as pollution exceeds the standard, thus reducing the impact of environmental pollution. The 5G sensor network can achieve full coverage of the construction site, improving monitoring efficiency and coverage. Through multi-dimensional data collection and analysis, accurate data support is provided to environmental management personnel, so that when excessive pollution is found, measures can be taken quickly to prevent the spread of pollution. Through monitoring data, the responsible party can be identified and those who violate the emission regulations can be held accountable.

[0173] In some embodiments, the current construction facilities are determined based on the construction stage; the placement of the current construction facilities is determined based on the shape of the facilities; the noise shielding effect of each construction facility is determined based on the type of facilities; and the noise isolation conditions during the construction process are determined based on the building structure barriers, placement and noise shielding effects.

[0174] Current construction facilities can be various equipment, materials or structures being used at the construction site. These facilities may be fixed or temporary.

[0175] The placement position can be the specific location of the construction facility at the construction site. The placement position affects the noise propagation range of the facility and its impact on the surrounding environment.

[0176] The noise shielding effect can be the role played by construction facilities or building structure barriers in reducing noise transmission.

[0177] Specifically, the specific stage of the current construction project is identified through the 5G sensor network and field data. According to the construction stage, the currently required construction facilities are determined, including machinery and equipment, material yards, temporary buildings, etc. The shape and placement of construction facilities and their impact on noise propagation are analyzed through drone scanning data and on-site photos. Noise monitoring equipment is used to evaluate the noise level of construction facilities under normal working conditions. According to the type of construction project and the surrounding environment, the building structure barriers that have been installed or planned to be installed, such as soundproof walls and enclosures, are determined. The sound insulation effect of building structure barriers, including their sound insulation capacity, coverage and effectiveness, is analyzed using acoustic models and field measurements. The noise shielding effect of each construction facility is evaluated by combining the noise level of the construction facility and the sound insulation effect of the building structure barrier. Using acoustic simulation software, the noise propagation path and impact range of the construction site are simulated, taking into account factors such as wind direction and terrain. Based on the simulation results and the actual situation on site, the overall noise isolation during the construction process is determined, including the direction of noise propagation, the affected area and possible leakage points. The evaluated noise isolation is compared with the pre-set noise standard to determine whether there is excessive noise pollution.

[0178] Through this solution, noise pollution can be more effectively controlled and the impact on the surrounding environment and residents can be reduced by accurately analyzing construction facilities, building structure barriers and noise propagation. Based on the analysis results of noise isolation, the placement of construction facilities and construction layout can be optimized to minimize noise propagation. Real-time monitoring and analysis of noise data can help to promptly identify noise problems and take corresponding measures to improve the efficiency of noise management. Through effective noise isolation measures, complaints from residents caused by noise pollution can be reduced, reducing the risk of environmental disputes.

[0179] In some embodiments, the spray properties of the dust reduction spray equipment are obtained; the spray properties are analyzed to determine the spray intensity; the spray deviation angle and the spray deviation height are determined based on the wind data and the spray intensity; the spray range is determined based on the spray deviation angle; the spray height is determined based on the spray deviation height; the dust data is analyzed to determine the dust density; based on the wind data and the dust density, the range change of dust caused by the wind data is determined; based on the range change, it is determined whether there is dust beyond the construction range; if so, the location of the dust beyond the construction range is determined to determine the missed area.

[0180] The spray properties may be the technical parameters and characteristics of the dust suppression spray equipment, such as nozzle type, spray frequency, water pressure, spray coverage area, spray angle, etc.

[0181] The spray intensity can be the amount of water sprayed by the dust suppression spray equipment per unit time.

[0182] Wind data can include wind speed and direction at the construction site, which is crucial for predicting the spread of dust.

[0183] The spray deviation angle can be the angle of the spray water mist relative to the front of the spray equipment. The spray deviation angle affects the coverage of the water mist and the dust settling effect.

[0184] The spray deviation height can be the vertical height of the spray water mist relative to the ground. The spray deviation height affects the diffusion range and sedimentation effect of the water mist, as well as the sedimentation efficiency of the dust.

[0185] The spray range can be the area that the spray equipment can effectively cover.

[0186] The spray height can be the installation height of the nozzle of the spray equipment, that is, the vertical distance from the nozzle to the ground.

[0187] Dust density can be the mass of dust per unit volume.

[0188] The range change may be the range change of dust diffusion under the action of wind.

[0189] Specifically, due to the influence of weather on the fluttering and dust settling of dust, the spraying range will also be affected by wind speed and wind direction, thus affecting the dust reduction effect. On this basis, the fluttering and settling of dust and spraying will produce a relative moving state, but due to the difference in the effect, a speed difference will be produced, causing the dust that would have naturally settled under a calm wind state to deviate from the spraying and settling range. Therefore, it is necessary to use 5G sensor networks and monitoring equipment such as drones to collect environmental data of the construction site in real time, including wind data, temperature, humidity, dust concentration, etc. Through on-site inspections or equipment manuals, obtain the spraying properties of dust reduction spraying equipment, such as nozzle type, spraying frequency, water pressure, spraying coverage, etc. Analyze the collected wind data, including wind speed, wind direction, etc., to understand the wind conditions at the construction site. According to the dust concentration and the spraying properties of the spraying equipment, determine the required spraying intensity, that is, the amount of water sprayed per unit time. Combined with the wind data, calculate the deviation angle and height of the spraying water mist. The spray deviation angle refers to the angle of the water mist relative to the front of the equipment, and the spray deviation height refers to the vertical height of the water mist relative to the ground. Based on the spray intensity, deviation angle and height, as well as wind data, simulate the coverage of the spray water mist. This can be achieved by calculating the trajectory of the water mist spreading in the air. Combined with the dust distribution and the spray effect, determine the optimal height of the spray water mist to ensure that the water mist can effectively cover the dust area. Process and analyze the collected dust data to determine the dust density. Based on the wind data and dust density, use a fluid dynamics model or a simple calculation of the relationship between wind speed and dust concentration to determine the range change of dust diffusion with wind force. Compare the spray range of the spray equipment with the calculated dust range change. If the dust range change exceeds the spray range of the spray equipment, these areas are determined as missed areas.

[0190] Through this solution, by analyzing wind data and spray properties, the spray height and spray range of the spray equipment can be accurately controlled to ensure that the water mist can effectively cover the dust area and improve the dust reduction effect. Real-time monitoring and analysis of environmental data can promptly detect dust pollution problems and take corresponding countermeasures to improve the efficiency and response speed of environmental monitoring. Reduce dust leakage caused by insufficient spray range, reduce the impact on the surrounding environment and residents, and reduce the risk of environmental pollution. By accurately adjusting the spray intensity and spray range, the waste of water resources can be reduced and the utilization efficiency of water resources can be improved.

[0191] In addition, the present application provides an environmental monitoring device based on a 5G sensor network, including a sensor, a drone, and a server;

[0192] Sensors, used to collect environmental data;

[0193] drones, which are used to collect scan data from construction areas;

[0194] A server, used to perform environmental monitoring based on a 5G sensor network as described in any one of the first aspects.

[0195] In some embodiments, the apparatus further comprises a spray system;

[0196] The sprinkler system, sensors, drones, and servers form a 5G network. When the sprinkler system is started, the sensors are started synchronously through the 5G network with low latency to monitor the sprinkler status.

[0197] The sensor includes a receiver. When the drone takes off, it transmits the scanning data to the sensor's receiver through the 5G network. After receiving the scanning data, the receiver binds the scanning data with the environmental data according to the timeline, and uploads the bound scanning data and environmental data to the server.

[0198] The sensors include wind direction and wind speed sensors, which are used to obtain wind force data at the current moment.

[0199] Figure 3 A structural diagram of an environmental monitoring system based on a 5G sensor network provided in an embodiment of the present application is as follows: Figure 3 As shown, the environmental monitoring system 300 based on the 5G sensor network of this embodiment includes: a data acquisition module 301, a data analysis module 302, a pollution analysis module 303, and a pollution warning module 304.

[0200] The data acquisition module 301 is used to acquire the environmental data collected by the sensor and the scan data scanned by the drone;

[0201] A data analysis module 302 is used to analyze the scan data and determine the construction scope;

[0202] The pollution analysis module 303 is used to analyze the environmental data based on the construction scope, obtain data analysis results, and determine whether there is over-scope pollution according to the data analysis results;

[0203] The pollution warning module 304 is used to issue a pollution warning according to the data analysis result if any.

[0204] Optionally, when the data analysis module 302 analyzes the scan data to determine the construction scope, it is used to:

[0205] Analyzing the scan data to obtain a scan analysis result, and determining a facility shape of the construction facility according to the scan analysis result;

[0206] Determining the facility type of each construction facility according to the facility shape;

[0207] Determine the enclosure facility according to the facility type, and determine the location of the enclosure facility according to the scanning data;

[0208] The construction scope is determined according to the location of the enclosure facilities.

[0209] Optionally, the environmental data includes dust data, and when the pollution analysis module 303 determines whether there is excessive pollution according to the data analysis result, it is used to:

[0210] Determining the setting height of the enclosure facility according to the scanning data;

[0211] Analyzing the dust data to determine whether there is a dust area higher than the set height;

[0212] If so, analyzing the dust data to determine the amount of dust above the set height;

[0213] Comparing the dust amount with a preset safe dust amount to determine whether the dust amount is higher than the preset safe dust amount;

[0214] If it is higher, it is determined that there is out-of-range pollution.

[0215] Optionally, when the pollution analysis module 303 analyzes the dust data and determines the amount of dust above the set height, it is used to:

[0216] Determine whether dust suppression spray equipment is provided on the enclosure facility according to the scanning data;

[0217] If so, analyzing the environmental data to determine the spraying height and spraying range of the dust suppression spraying equipment;

[0218] Determine whether there is a missed area based on the spray range;

[0219] If so, the spray height is compared with the height of the dust area to determine whether there is dust higher than the spray height;

[0220] If it exists, the dust amount above the spraying height and the dust amount in the omitted area will be regarded as the dust amount above the set height.

[0221] Optionally, the environmental data also includes noise data. When the pollution analysis module 303 determines whether there is excessive pollution according to the data analysis result, it is used to:

[0222] Determine the construction location according to the scanning data;

[0223] Determine the noise standard according to the construction location;

[0224] Determining the type of construction project according to the scanning and analysis results;

[0225] Determine building structural barriers based on the type of construction project in question;

[0226] Determining a construction phase based on the scan data;

[0227] Based on the construction stage, determining the noise isolation during the construction process according to the building structure barrier and the scanning analysis results;

[0228] Determine whether there is over-range pollution based on the noise isolation conditions and the noise standards.

[0229] Optionally, when the pollution analysis module 303 determines the noise isolation during the construction process based on the construction stage, the building structure barrier and the scanning analysis result, it is used to:

[0230] Based on the construction stage, determining current construction facilities;

[0231] Determining the placement position of the current construction facility according to the shape of the facility;

[0232] Determine the noise shielding effect of each construction facility based on the type of facility;

[0233] The noise isolation situation during the construction process is determined based on the building structure barrier, the placement position and the noise shielding effect.

[0234] Optionally, the environmental data includes wind data, and the pollution analysis module 303 analyzes the environmental data to determine the spraying height and spraying range of the dust suppression spraying equipment, which is used to:

[0235] Obtaining the spraying properties of the dust suppression spraying equipment;

[0236] Analyzing the spray properties and determining the spray intensity;

[0237] Determining a spray deviation angle and a spray deviation height according to the wind force data and the spray intensity;

[0238] Determining a spray range according to the spray deviation angle;

[0239] Determining a spray height according to the spray deviation height;

[0240] When the pollution analysis module 303 determines whether there is a missing area according to the spray range, it is used to:

[0241] Analyzing the dust data to determine dust density;

[0242] Determine, according to the wind data and the dust density, a range change of dust caused by the wind data;

[0243] According to the range change, determine whether there is dust beyond the construction range;

[0244] If it exists, the location of the dust beyond the scope of the construction will be determined to determine the missed area.

[0245] The system of this embodiment can be used to execute the method of any of the above embodiments. The implementation principles and technical effects are similar and will not be described in detail here.

Claims

1. An environmental monitoring method based on 5G sensor network, characterized in that: The environmental monitoring method is applied to an environmental monitoring device based on a 5G sensor network, wherein the environmental monitoring device based on the 5G sensor network includes a sensor, a drone, and a server. The method is applied to the server and includes: Acquire environmental data collected by the sensor and scan data scanned by the drone; Analyze the scan data to determine the construction scope; Based on the construction scope, analyzing the environmental data to obtain data analysis results, and determining whether there is over-scope pollution according to the data analysis results; If it exists, a pollution warning is issued according to the data analysis results; The analyzing the scan data to determine the construction scope includes: Analyzing the scan data to obtain a scan analysis result, and determining a facility shape of the construction facility according to the scan analysis result; Determining the facility type of each construction facility according to the facility shape; Determine the enclosure facility according to the facility type, and determine the location of the enclosure facility according to the scanning data; Determine the construction scope according to the location of the enclosure facilities; The environmental data also includes noise data, and determining whether there is excessive pollution based on the data analysis results includes: Determine the construction location according to the scanning data; Determine the noise standard according to the construction location; Determining the type of construction project according to the scanning and analysis results; Determine building structural barriers based on the type of construction project in question; Determining a construction phase based on the scan data; Based on the construction stage, determining the noise isolation during the construction process according to the building structure barrier and the scanning analysis results; Determine whether there is excessive pollution based on the noise isolation conditions and the noise standards; The determining of the noise isolation during the construction process based on the construction stage and the building structure barrier and the scanning analysis result includes: Based on the construction stage, determining current construction facilities; Determining the placement position of the current construction facility according to the shape of the facility; Determine the noise shielding effect of each construction facility based on the type of facility; Determining the noise isolation during the construction process according to the building structure barrier, the placement position and the noise shielding effect; The environmental data includes dust data, and the determining whether there is over-range pollution according to the data analysis result includes: determining the setting height of the enclosure facility according to the scanning data; Analyzing the dust data to determine whether there is a dust area higher than the set height; If so, analyzing the dust data to determine the amount of dust above the set height; Comparing the dust amount with a preset safe dust amount to determine whether the dust amount is higher than the preset safe dust amount; If it is higher, it is determined that there is out-of-range pollution.

2. The method according to claim 1, characterized in that The step of analyzing the dust data to determine the amount of dust above the set height includes: Determine whether dust suppression spray equipment is provided on the enclosure facility according to the scanning data; If so, analyzing the environmental data to determine the spraying height and spraying range of the dust suppression spraying equipment; Determine whether there is a missed area based on the spray range; If so, the spray height is compared with the height of the dust area to determine whether there is dust higher than the spray height; If it exists, the dust amount above the spraying height and the dust amount in the omitted area will be regarded as the dust amount above the set height.

3. The method according to claim 2, characterized in that The environmental data includes wind data, and the analyzing the environmental data to determine the spraying height and spraying range of the dust suppression spraying equipment includes: Obtaining the spraying properties of the dust suppression spraying equipment; Analyzing the spray properties and determining the spray intensity; Determining a spray deviation angle and a spray deviation height according to the wind force data and the spray intensity; Determining a spray range according to the spray deviation angle; Determining a spray height according to the spray deviation height; The step of determining whether there is a missing area according to the spraying range includes: Analyzing the dust data to determine dust density; Determine, according to the wind data and the dust density, a range change of dust caused by the wind data; According to the range change, determine whether there is dust beyond the construction range; If it exists, the location of the dust beyond the scope of the construction will be determined to determine the missed area.

4. An environmental monitoring device based on a 5G sensor network, characterized in that: Including sensors, drones, and servers; The sensor is used to collect environmental data; The drone is used to scan the scan data of the construction area; The server is used to execute the environmental monitoring method based on the 5G sensor network as described in any one of claims 1-3.

5. The device according to claim 4, characterized in that The device also includes a spray system; The sprinkler system, the sensor, the drone, and the server form a 5G network. When the sprinkler system is started, the sensor is started synchronously with the 5G network with low latency to monitor the sprinkler status. The sensor includes a receiver. When the drone takes off, the drone transmits the scan data to the receiver of the sensor through the 5G network. After receiving the scan data, the receiver binds the scan data with the environmental data according to the time axis, and uploads the bound scan data and environmental data to the server. The sensor includes a wind direction and wind speed sensor, which is used to obtain wind force data at the current moment.

6. An environmental monitoring system based on a 5G sensor network, characterized in that: Applied to perform the method according to any one of claims 1 to 3, comprising: A data acquisition module is used to acquire environmental data collected by sensors and scanned data scanned by drones; A data analysis module, used to analyze the scan data and determine the construction scope; A pollution analysis module, used to analyze the environmental data based on the construction scope, obtain data analysis results, and determine whether there is over-scope pollution according to the data analysis results; The pollution warning module is used to issue a pollution warning according to the data analysis result if any.

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