Current situation and pain points: According to monitoring data from the Ministry of Environmental Protection, some large and medium-sized cities are currently experiencing severe haze weather, especially in the Beijing Tianjin Delta, Yangtze River Delta, and Pearl River Delta
Current Situation and Pain Points
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According to monitoring data from the Ministry of Environmental Protection, some large and medium-sized cities are currently experiencing severe haze weather, especially in the Beijing Tianjin Delta, Yangtze River Delta, and Pearl River Delta.Monitoring shows that these areas experience more than 100 days of haze each year. The deep-seated reason for severe air pollution is the rapid industrialization and urbanization process in ChinaThe manifestation of accumulated environmental problems, among which dust pollution caused by construction has become one of the main reasons affecting urban air quality.
Construction site dust pollution refers to the unorganized particulate matter pollution emitted during the construction process, including dust caused by various construction processes inside the construction site,This also includes secondary traffic dust caused by construction transportation vehicles sticking soil and building materials escaping on external roads of the construction site. For a long time, regarding construction workIn terms of air quality supervision caused by ground dust, due to the inability to obtain monitoring data for implementation or direct data corresponding to facts upon receiving reports,It has always been a very troublesome issue for government regulatory agencies.
According to monitoring and analysis by Beijing's environmental protection department, dust pollution accounts for approximately 15.8% of PM2.5 sources. Among the six major sources of pollution in Nanjing, the proportion of dust is the highest, reaching 37.28% Due to the consistently low emission height of construction site dust and its concentration in densely populated urban areas, the impact of construction site dust on air quality is increasingly receiving attention.
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At present, there are many difficulties in construction site management in China:
Lack of quality management personnel and inadequate supervision
There is a phenomenon of multiple aspects and a lack of verification of the number of regulatory personnel in engineering supervision. At present, the means of quality and safety supervision during the construction process of engineering projects are basicallyAdopt the method of conducting on-site spot checks, sampling tests, and acceptance inspections at the construction site. There are problems such as high labor intensity, high danger, and time-consuming and labor-intensive.
Poor environment, low regulatory measures, single management, and low efficiency
On site manual methods are used for visual observation and inspection, and there are problems with poor natural environment and low efficiency in quality and safety supervision.
Real time and multi-level management are difficult to achieve, with poor traceability
The existing management methods and enterprise managers are unable to control the quality, safety, and dust pollution situation of the construction site in real time. The supervision and management work is complex, and the results are influenced by human factorsThe factors have a significant impact and often cannot objectively and fairly reflect the actual situation of dust on site, resulting in poor traceability.
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relevant policies
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In order to effectively monitor dust pollution on construction sites, accept public supervision and complaints, and jointly build green and environmentally friendly construction sites, it is necessary to carry out construction project dust pollutionResearch and development of automatic monitoring system.
This scheme provides a solution for real-time monitoring of dust and noise on construction sites. Real time monitoring of dust in construction site areas can be achieved through remote data monitoring systemsEffective monitoring and management. The nationwide implementation of the project can bring all construction projects in the city under supervision, truly achieving effective management and standardized law enforcement.
Related execution standards:
GB3095-2012 "Environmental Air Quality Standards"
GB12348-2008 "Emission Standard for Industrial Enterprise Boundary Environmental Noise"
GB37822-2019 "Unorganized Emission Control Standards for Volatile Organic Compounds"
GB37824-2019 "Emission Standards for Air Pollution from Coatings, Inks, and Adhesives Industry"
HJ/T 5S-2000 "Technical Guidelines for Monitoring Unorganized Emissions of Air Pollutants"
HJ/T 193-2005 Technical Specification for Automatic Monitoring of Environmental Air Quality
HJ/T 212-2005 "Data Transmission Standard for Pollution Source Online Automatic Monitoring (Monitoring) System"
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Solution
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Combining the characteristics of IoT sensors and wide area IoT networks, this solution mainly achieves the following functions:
1. Real time monitoring of dust on construction sites, capable of automatically triggering sprinkler linkage. When the dust level reaches the set upper limit, one or more spray systems (fog cannons) will be automatically activated to carry out atomization spray dust reduction measures on the site environment. When the dust level reaches the set lower limit, the spray system will be automatically shut down.
2. It has a time-sharing spraying function, and users can set the spraying time according to their own situation.
3. If the noise coefficient exceeds the standard, the local sound and light alarm will be automatically triggered, and the alarm information will be sent synchronously in the background.
When the temperature on the construction site is too high, the sprinkler system can be activated to cool down the site.
5. It has manual and automatic switching functions, which can ensure the safe and continuous operation of the equipment in the event of control system failure.
6. It has the management platform of "Internet plus+building dust control", providing users with real-time and effective dust control data.
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