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Smart Environment Protection-Intelligent Sensing Experiment Platform(EC-IoTTB2017-1008)


Experiment Platform Name

Smart environment protection-Intelligent sensing experiment platform


Initiator

iSoftStone Information Technology (Group) Co., Ltd.

Huawei Technologies Co., Ltd.


Partners

Hebei Sailhero Environment Protection High—tech Co., Ltd.

Focused Photonics (Hangzhou) Co., Ltd.


Overview and Objectives

With the development of the social economy and the intensification of human activity, both the natural environment and the environment in which human's live are getting damaged. The construction of an environmental monitoring system has become the top priority of relevant government departments, who face the following technical challenges:

1、Improving the quality of environment monitoring data.

2、Enhancing the comparability, accuracy, and reliability of environment monitoring data.

3、Screening the validity of grid monitoring Big Data.

4、Implementing intelligent maintenance of high-density sensing sites.


Based on these challenges, the intelligent platform uses edge computing and other cutting-edge technologies to implement intelligent management on the sensing layer of the ecosystem environment monitoring system. With the help of analysis from the cloud computing–based environment condition model, the intelligent platform can ensure the feasibility and applicability of the environment protection system in smart cities and implement overall resource optimization for the environment protection system. In addition, the intelligent platform can reduce the construction period and improve the overall cost-effectiveness of smart cities.


As devices access the Internet of Things (IoT) on a large scale, massive volumes of data generated on devices pose challenges to data processing. The problem is that real-time sensing and monitoring are required to predict environment problems but the network bandwidth is limited. Edge computing is mainly performed at the network edge, which resolves the preceding problem. Therefore, edge computing is useful to intelligent site maintenance. Transmission of analysis results obtained through site edge computing has practical significance for the implementation of grid construction.


Intelligent construction of the sensing layer provides a solid foundation for smart environment protection. Before the phased work of the experimental platform meets the design expectations, with the help of IoT and future 5G technologies, low-latency interconnection between things can be implemented between monitoring systems and emergency/governance systems. That is, environment protection can be made intelligent. The efficiency of the government in environmental protection can be improved greatly. Environmental pollution warnings can be reported in advance, environment governance facilities can perform intelligent processing, and emergency systems can quickly respond, realizing the construction of a smart ecological civilization.


Application Scenario

The main application scenarios are as follows:

1、Intelligent onsite sensor devices

Automatic MCU control: Based on multi-type sensor information and correction models, onsite devices can output accurate indicators for monitoring and analyze the monitoring data onsite (for example, onsite devices can preliminarily analyze pollution factors, feature factors, and high-risk factors, and so on). Diversified onsite intelligent feedback systems (for example, the systems for sending information, for displaying comprehensive information, and for uploading environment monitoring data and sending the control signals accordingly) are designed.

Intelligent RFID O&M: With flexible application of wireless RF technologies, O&M of high-density sensing layer devices can be planned (for example, O&M personnel sign-in management, visualized display of O&M information, dynamic statistics collection of the mobile status of onsite main polluting vehicles, and the corresponding analysis and decision making).


2、Intelligent calibration system

Wi-Fi or ADHOC technology–based transfer for calibration: Sensors use high-speed wireless technologies to transmit calibration information based on data validity periods, implementing professional and efficient O&M with fewer errors and omissions.

Overall architecture:

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Expected Outcome

1、Reduces monitoring costs and implements high-density grid monitoring of ecological environments.

Intelligent processing of edge computing on onsite devices at the sensing layer reduces the amount of data for processing and for exchange involved in cloud computing, and improves the data quality. The expected outcome is that low-cost sensor technologies can sense environment conditions accurately, and that the overall capability to analyze city trends based on cloud computing can be improved greatly.

2、Improves the operation efficiency and implements effective maintenance on city-level numerous sensors.

Professional technologies can ensure information exchange between grid monitoring points, automatic information processing, and timely and efficient problem handling by onsite devices. Results received by the cloud center can be used for computing of trend analysis.


Business Benefits

1、Promotes the smart city process and provides feasible templates for comprehensive service implementation.

2、Standardizes the construction mode and establishes channel and construction standards with patent-protected technologies.

3、Implements smart environment protection, smart security monitoring, and intelligent law enforcement through the solution replicability.

4、Instructs the implementation of edge computing for the emergency command system in smart cities.


Social Benefits

1、Meets the government's intelligent management requirements on smart cities and promotes the informatization of environmental protection and ecological civilization.

2、Ensures the improvement of people's living environment and harmonious development between people and the environment

3、For grid monitoring and management, both cloud computing and edge computing are used and are complementary to each other. High precision monitoring of edge computing ensures the data authenticity and effectiveness, and the application of low-cost sensor technologies becomes widespread. Based on numerous sensors, the accuracy of overall environment condition warnings and forecasts through cloud computing is improved greatly, and intelligent management of city environment protection is implemented through grid cloud services. The O&M is scientific and normalized, and the O&M efficiency is greatly improved, ensuring the long-term operation of the system.


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