How Internet of Things technology play a role in environmental protection industry

Environmental protection within China and around the world enduring the hot topic. Industrial development, population growth, pollution, etc. These problems undoubtedly increased the necessity of environmental protection. Environmental protection is not contaminated after processing, to the early prediction, the intermediate control, post-processing as one integrated system engineering. Environmental protection not only provide a more comfortable production and living environment, but also save resources and increase productivity.

Presence information lag, tedious process, single issues such as traditional methods of environmental protection, carrying Internet of Things flourish today, the use of information technology and other instant feedback from the source of contamination found information, the first time to make a feedback signal, greatly improving the environmental efficiency.

1. hydrological monitoring

Hydrological monitoring system is suitable for Hydrological Services of rivers, lakes, reservoirs, channels and groundwater hydrologic parameters in real time. Monitoring contents include: water level, flow velocity, precipitation (snow), evaporation, sediment, ice, moisture, water and the like. The system uses wireless communication to monitor real-time transmission of data, can greatly improve the efficiency and Hydrological Services.

  • System components
  • Hydrological monitoring system consists of monitoring center, communication networks, front-end monitoring equipment, measuring equipment of four parts.
  • Monitoring Center: the server, public green (or green movement), hydrological monitoring system software.
  • Communication networks: GPRS / SMS / Beidou satellite, Internet public network / mobile line.
  • Front-end monitoring equipment: hydrological monitoring terminal.
  • Measuring device: rain sensors, water level gauge, industrial camera or other instrument transmitter.
  • System functions
  • Management features: a hierarchical data management function, monitoring points management.
  • Acquisition function: collecting water monitoring points, rainfall and other hydrological data.
  • Communication functions: monitoring center at all levels can be monitored points, respectively authorized management to communicate.
  • Alarm functions: water level, rainfall and other data exceeds the upper alarm limit, alarm monitoring point initiative to their superiors.
  • Query functions: system monitoring software can access a variety of history.
  • Storage features: front-end monitoring equipment includes a high-capacity data stored several functions; database monitoring center can record all the historical data.
  • Analysis: water level, rainfall and other data can be generated curves and reports for trend analysis.

Extensions: support interfaces to other systems via OPC docking.

2. Sewage remote monitoring

Some enterprises sewage treatment plant distributed widely distant from each other. According to the conventional mode of operation and management, the plants are supporting the production workshop, equipment maintenance shop, technical department, laboratories and logistics offices and other institutions, alone operation of wastewater treatment plants. Production management, professional and technical resources can not be shared, the company headquarters to the production plant to control the lack of timely information, a large amount of administrative costs consumed in overcoming spatial distance. To solve the above problems, the company proposed the establishment of sewage treatment plant between the system of things, the use of modern technology, the sewage treatment plant would be enhanced production management, improve management efficiency.

Construction of sewage treatment plants to improve Internet of Things, it should be incorporated into a variety of Internet equipment and instrumentation, remote monitoring and control, automatic generation of various types of production data, production reports and historical curve, recording equipment operation status of the main establishment of equipment operating files in the number of sewage treatment plants can be any one other factory remote control.

It includes the following sections:

  • Improve the plant’s automation system
  • Form optical fiber network
  • Video surveillance network
  • The formation of production information management system (sewage system of things)
  • Effectiveness of the application:
  • The establishment of a new sewage treatment plant management
  • Strengthening the professional and technical level
  • Reduce production costs
  • Information sharing

3. energy conservation

By building various energy consumption indicators of alarm monitoring mechanisms, real-time control of energy consumption of the entire building, so as to provide reference data for the first-hand distribution and rational use of energy, the monitoring platform includes real-time monitoring of energy, key energy consuming equipment monitoring, energy breakdown statistics, energy consumption analysis, energy consumption trends in several parts distribution analysis, data query, so that the relevant departments to accurately grasp the development trend and the proportion of energy costs, the development of effective energy-saving measures and strategies.

The system features:

  • Real-time monitoring of energy consumption of the whole building, and can be fine management;
  • Monitoring changes in carbon dioxide, to provide data to support development of the greenhouse effect;
  • By water, electricity, gas, heat and other types of energy consumption monitoring, to make more transparent consumption data;
  • By obtaining various types of consumption data providing support for other more advanced applications;
  • To provide data to help future energy-saving building facilities;
  • By monitoring the energy consumption data and statistical analysis, to grasp the trend of the situation of energy consumption;
  • By analyzing the structure of the building for the future optimization of energy costs, and provide evidence.