In order to solve the problem of air pollution and to achieve the goal of non-nuclear homes, all countries in the world have introduced new technologies and hope to use the energy of digital technology to solve the pollution problems caused by power generation.
PraTIm Biswas, a professor at the University of Washington in St. Louis, believes that looking at the current trend, the mix of energy and the Internet of Things can be divided into three levels: power generation, electricity distribution, and environmental relationships.
In terms of power generation, due to the construction of many complicated equipment and units in the power house, if it is to improve energy conversion efficiency and reduce pollution emissions, it needs to be solved through various intelligent, digital technology, and machine learning methods.
First of all, if you want to implement a smart power plant, you must combine the experience and expertise of the power plant operation, as well as the IT technology between the heterogeneous networked service platform and the unit equipment to create a smart power plant solution. This will help power plants to improve their power generation efficiency, and through a systematic management model, reduce pollution emissions and heat rate to achieve more environmentally friendly emissions, pipeline management and cost reduction.
Secondly, in terms of speed-matching power, this part of the smart power plant in the future needs to introduce technologies such as the Internet of Things and machine learning; because the power plant can understand the modes and habits of the public to use electricity, and thus, where are the factors? Under the influence, there will be a difference between the peak of electricity consumption and the peak.
Third, environmental factors. The environment has greatly affected the development of the energy industry. In the past, when oil and coal were used to generate electricity, a large amount of carbon substances were emitted, which caused environmental pollution. Therefore, many technology companies have developed low-cost sensors, which may be carried on In wearable or mobile devices, the public can know in real time what are the toxins and pollution in their environment.
Biswas believes that all three levels can be understood through the Internet of Things, the impact of energy on air pollution and the environment; many international companies such as IBM and Google have invested in how to use technology to mitigate and detect air pollution. And these decentralized detectors (worn-type devices, or general mobile devices) can help the public collect more information, and then obtain pollution information through cloud computing, which is expected to enhance the public in the future. Cognition of environmental protection.
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