Through the integration of production equipment, environmental protection equipment and sensors, real-time monitoring, data analysis and remote control of the environmental parameters and pollutant emissions in the chemical production process are realized. It realizes the whole-process monitoring of organized emissions, grid monitoring of unorganized emissions. And through construction of pollution linkage control system and clean transportation system, it ensures that the impact of enterprise production and operation activities on the environment is monitored and evaluated in a timely and accurate manner, which can help enterprises to improve their environmental performance.
The construction of ecological pollution early warning systems is an inevitable requirement for environmental protection and an important basis for corporate and government decision-making management. By strengthening the construction of environmental monitoring and early warning systems, environmental pollution problems can be discovered in time, and effective measures can be taken. The key to protecting the ecological environment and human health lies in building a platform that integrates dynamic three-dimensional perception, intelligent information management, and smart decision-making applications for ecological pollution monitoring and early warning.
Abnormal equipment inefficient
Due to abnormal equipment, excessive load on pollution treatment process, or other reasons, the pollutant treatment and conversion rate has decreased, leading to increased emissions.
Restricted monitoring level
Due to limited monitoring methods and scope, low frequency of pollution data collection, small amount of data, lack of prediction or early warning, emission exceedances occur.
Unorganized emissions
The production materials contain ammonia nitrogen elements, and during transportation or the process, there is a risk of unorganized emissions. If the dust suppression device fails to handle in time, it may lead to ammonia nitrogen exceeding the standard in the basin.
Impact of carbon emissions
"Enterprises with a large electricity consumption need to manage carbon emissions through carbon detection, reduce carbon emissions, and avoid high energy consumption and high carbon emissions situations."
Value Empowerment
Provide corresponding value to the industry, empower development, and facilitate transformation.
Reduce the risk of pollution incidents
By conducting multi-dimensional statistical analysis through the management platform, we can uncover the value hidden in data and issue warnings before environmental pollution problems worsen, allowing for timely measures to be taken to prevent greater harm.
Improve management decision-making efficiency
By sharing data and coordinating business operations among various systems, comprehensive data analysis and prediction are provided to help managers make more accurate and timely decisions, thereby improving management decision-making efficiency.
Emergency response accuracy improvement
Centralized management of alarm events from different sources, formulation of reasonable handling rules and notification strategies based on management needs, intelligent analysis of alarms according to alarm equipment, location, and event, assisting in rapid fault location and troubleshooting.
Energy consumption cost reduction
Through the application of an energy management system using an intelligent control platform, precise monitoring and control of energy consumption is achieved, reducing energy consumption and consequently lowering carbon emissions.
Core Features
Pollution monitoring comprehensive situation
A comprehensive assessment and dynamic grasp of the status of various types of pollution in the environment, covering multiple fields such as air, water, soil, and noise. By collecting a large amount of data from monitoring stations set up at different locations, including the types, concentrations, distribution, and temporal change trends of pollutants. It clearly shows the extent and range of pollution, providing scientific basis for formulating environmental protection policies and taking control measures.
Major pollution source monitoring
Through IoT, image recognition, digital twin and other technologies, the data of all enterprises involving major hazard sources in the park are monitored in real time, mainly including temperature, pressure, liquid level, gas concentration and other data for real-time monitoring and early warning alarm; secondly, the system covers the entire park through high vantage points, using four high-altitude lookout thermal imaging to achieve timely prediction and early warning of abnormal fire spots and smoke in the park, ensuring timely handling and effectively preventing accidents from expanding.
Environmental pollution analysis and prediction
Integrating machine learning and big data processing technologies, in-depth mining is conducted on integrated multi-source environmental monitoring data. By learning pollution behavior patterns from historical data, real-time monitoring and analysis of air quality, water quality, soil pollution status, and pollutant source activity data are carried out to dynamically identify abnormal fluctuations and potential risk trends. Using methods such as time series analysis, regression analysis, and clustering analysis, combined with meteorological conditions and seasonal changes, a prediction model is constructed to accurately predict the concentration change and diffusion trajectory of pollutants.
Emergency pollution control and dispatching
Based on the characteristics of the enterprise, an emergency management plan is set up within the system. When ecological pollution exceeds the standard or emergencies occur, the emergency response plan is automatically triggered, coordinating relevant departments and personnel to quickly respond and handle the situation. This ensures rapid decision support and resource scheduling, enabling the enterprise to swiftly address ecological pollution incidents.
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