How does the energy Internet turmoil take advantage of Big Data Nuggets?
But now don't worry, today, driven by international and domestic policies, and the development of emerging technologies such as mobile Internet, Internet of Things, cloud computing, and big data, the global energy Internet has emerged.
what does this mean?
The main problem affecting the development of energy Internet is that in the industrial chain, basic energy sources such as electricity, gas, oil, etc., are very fragmented, how to store, transmit, and dispatch? For consumers such as individuals, businesses, shopping malls, etc., the consumption characteristics are also very complicated. How to use and use?
Therefore, the establishment of a user-centric energy big data platform, open up the industrial chain, on the basis of user label management, as a basic platform for corporate portraits and user portraits, in the future can solve problems such as "your home is not hot."
But how do you do it? Mr. Dong Jijun, an energy industry architect, expressed some practical sharing of energy at the Energy Forum held by the School of Big Data.
The first step - the full-dimensional "energy" portrait <br> <br> different from other industries, energy consumption is very complicated.
For an energy user, households, schools, institutions, shopping malls and other energy use behaviors have different characteristics, and involve electricity, gas, oil and other aspects. Faced with such a complicated situation, under the trend of the energy Internet, it is necessary to construct energy portraits for energy users throughout the network to form a human-centered standard network structure.
In the process of building this complex energy image, third-party data is needed to innovate the value chain. This is a percentage of what has been done, based on more than 550 million user images, and gradually establish an energy image system. Through the labeling system, you can build awareness of the panoramic view, help improve services, and even refactor the entire industry.
After years of practice, real-time data collection (including smart meters and other device sensors, environmental sensors), through the data model algorithm, to establish energy use portraits, so as to real-time interaction of energy use.
In the future, the energy industry will be very diversified on the user side, and many small-scale power sales companies will emerge. In particular, distributed energy can change the identity of consumers and become a "production and sales" consumer.
Typical applications - what new ways to play in the energy industry?
The chain-based energy industry is based on big data, from data to network, and the entire energy form will be a purely networked Internet architecture in the future.
Under this new trend, energy production and sales, as well as energy management and organization, will undergo profound changes. Each node must have very clear cognition and portraits to land specific business applications. Percentages have been practiced in the energy sector for many years, summarizing some of the results and sharing typical applications in the energy industry.
1. Abnormal analysis, scheduling optimization:
For example, in the field of gas, remote reading, temperature data, customer information, equipment data, billing data and area data of households, schools, shopping malls, etc. are concentrated. From the perspective of the whole network consumer, under the framework of energy consumption, describe the characteristics of energy use and energy use, and then perform anomaly analysis and take scheduling optimization.
Outdoor Emergency Portable Power Station
The off-grid segment is expected to be the fastest-growing market segment in the portable power station market, by application, during the forecast period.
The portable power station market is segmented by application into emergency power, off-grid power, and automotive. The off-gird power segment is projected to grow at the highest rate during the forecast period. The demand to power modern electronic equipment such as laptops, smartphones, etc., is driving the portable power station market for the off-grid segment. The growth of this segment is also driven by the increase of camping and outdoor recreational activities, and the growing use of smart electronic devices in regions such as North America, Europe, and Asia Pacific.
North America is expected to account for the largest market size during the forecast period.
The market is segmented by region into North America, South America, Europe, Asia Pacific, and Middle East & Africa. Of these, North America is the largest portable power station market in the world, predominantly due to the US, and the trend is expected to be the same during the forecast period. The market in the region is driven by the growing emphasis on camping and outdoor recreational activities, and the increasing use of smart electronic devices, and the subsequent need for connectivity, which requires power.
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