AI intelligent power saving technology? 20

Artificial Intelligence (AI) in English. It is a new technical science that researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.

Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence, including robotics, language recognition, image recognition, natural language processing, and expert systems. Since the birth of artificial intelligence, the theory and technology have become increasingly mature, and the application field has been expanding. Artificial intelligence can simulate the information process of human consciousness and thinking.

Artificial intelligence is not human intelligence, but it can think like a human being, and may surpass human intelligence.

Artificial intelligence is an extremely challenging science, and those who do it must be computer literate, psychological, and philosophical. Artificial intelligence is a very broad science, it is composed of different fields, such as machine learning, computer vision, etc., in general, one of the main goals of AI research is to enable machines to do some complex tasks that usually require human intelligence to complete. But different times and different people have different understandings of this "complex work".

This person is not a black technology, other mobile phone manufacturers have always had it, like Meizu or Apple, he has an intelligent AI, which can automatically identify the software that is being used in the background of your system, and then automatically freeze it for you, and then the battery will also give you power. So this is not a black technology unique to Huawei, many mobile phone manufacturers have it.

The full name of AI is: artificial intelligence, and the Chinese name is: artificial intelligence; It is a new technical science that researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.

Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence, including robotics, language recognition, image recognition, natural language processing, and expert systems.

Artificial intelligence is an extremely challenging science, and those who do it must understand different fields such as machine learning, computer vision, etc., and in general, one of the main goals of AI research is to enable machines to perform complex tasks that usually require human intelligence.

It's just that computers and human thinking skills aren't at that level at the moment.

How about I say it in layman's terms.

Recently: AI black technology**: The air conditioner of its own building saves 250,000 kWh of electricity a month.

AI technology is not a concept, but a real and tangible service to our lives. Recently, the Administration Department, the System Department, the Cloud Department and other departments have joined forces to do a big thing: using artificial intelligence to implement the intelligent building project in K2 of the Science and Technology Park.

According to the official, there is a mysterious place in B3 downstairs of K2, which is full of various refrigeration equipment, there are refrigeration units and water pumps that make loud noise, and there are also cold storage tanks as high as 2 floors, which is the refrigeration station. The comfortable, cool office environment is due to it.

During the cooling season from May to September 2016, the power consumption of the refrigeration equipment reached 4,230,588kWh! The K2 smart building project is to apply the experience of energy saving in Yangquan Data Center to this refrigeration station.

After five months of intense work, the smart building project was successfully put into operation in mid-June. In the past month of operation, it has saved about 250,000 kWh of electricity, and it is expected to help the cold station of the Science and Technology Park reduce its power consumption by more than 1 million kWh every year in the future.

said that smart buildings are a large market with a market size of more than 10 billion. The K2 refrigeration station in the Science Park is only the first step in related projects. In the future, we will continue to cooperate with the industry's leading building automation manufacturers, continue to output capabilities in energy management, Internet of Things, face recognition, etc., and strive to make smart buildings simpler.

Nowadays, more and more AI such as face payment, small cluster cover robots, mobile check-in, and wireless screen projection have been ubiquitous in buildings and science and technology parks.

Buildings consume one-third of the world's energy, and to be effective, it is necessary to find the right medicine. Although the concept of green buildings has been implemented in real life, how can a simple ordinary residential building become a green building if it is not a new project or a corporate building? The AI-powered building energy-saving system platform developed by ITRI can greatly reduce the threshold for building energy-saving diagnosis, so not only enterprises can benefit, but also general users can use it to diagnose the energy consumption analysis of their own buildings, and indeed implement energy-saving and carbon-reduction actions.

At the Taiwan Innovation Technology Expo held in Hall 1 of the World Trade Center a few days ago, ITRI also demonstrated this innovative platform technology.

In addition to the technical difficulties, including the complexity of the functions and operation difficulties of the commonly used international software, the consideration of time and cost often discourages the general users who want to improve the energy consumption of the building, which is also one of the reasons for the poor effectiveness of the promotion of energy conservation.

In order to enable general users to quickly diagnose the energy conservation of buildings, ITRI has also developed an artificial intelligence building energy-saving system platform, which solicits the opinions of architects, air-conditioning technicians, mechanical and electrical technicians, and equipment manufacturers, and further integrates Taiwan's commonly used building materials and equipment, including nearly 400 kinds of building materials, and connects nearly 7,000 energy-saving label devices in the database of the Energy Bureau of the Ministry of Economic Affairs, simplifying the platform interface into 5 steps.

Including setting data such as building exterior, internal loads, equipment scheduling, air conditioning and climate zones, or applying standard building models and parameter defaults, so that general users can quickly complete the setting and establishment of building energy models, conduct energy-saving diagnosis of a large number of buildings at one time, and provide energy-saving strategies and ROI analysis.

At the same time, to find similar devices, the platform will also sort users according to the filter conditions with the highest energy saving or the shortest life, and provide an optimized equipment list. The platform can also integrate with the existing energy management system, and interact and compare with the measured data of the energy management system through simulation analysis in the form of artificial intelligence, and carry out value-added applications such as equipment abnormal diagnosis or management and maintenance.

According to ITRI, since it is not necessary to collect annual building energy consumption data during diagnosis, the diagnosis time can be greatly shortened to 30 minutes, and the cost can also be effectively reduced. In addition to benefiting general users to assess and advise on the energy consumption of residential buildings, the platform has also successfully assisted Hua Nan Bank in conducting rapid building diagnosis, thereby saving an average of 5 15% of electricity for each branch, and also assisted the head office of the supermarket to avoid using energy-consuming building materials on the building shell of the branch, thus saving the branch an average of 350,000 500,000 yuan in maintenance costs.

Design better with generative design.

It will make the application of building energy efficiency more flexible.

The potential applications of machine learning and artificial intelligence in construction are enormous.

AI design can conduct a large number of in-depth research on climate and environmental simulation, green energy saving analysis, sunshine shading calculation, traffic flow statistics, etc., and the various information and judgments generated by its analysis are the most important data for designers, which helps to dynamically adjust and quickly update the design scheme.

Set data such as building exterior, internal loads, equipment scheduling, air conditioning, and climate zones, or apply standard building models and parameter defaults.

Using the energy consumption analysis of our own buildings, we can implement energy saving and carbon reduction actions.

It can better control the degree of transmission without wasting resources.

Automatic switches, turning off useless valves, etc., reduce energy consumption.

It also assisted in suggesting that the head office of the supermarket avoid using energy-consuming building materials in the building shell of the branch, thus saving the branch on average.

Xi and the potential application of artificial intelligence in architecture.

Generative design is better applied.

The foundation of machine learning is mathematics, and beginner AI must master some necessary mathematical foundations, but not all mathematical knowledge must be learned, only what is actually useful in work, such as calculus, probability theory, linear algebra, convex optimization, etc.

The content that needs to be applied in data analysis also needs to be mastered, but it is not the kind that helps you do data analysis from scratch as said on the Internet, but data mining or things related to the field of data science, such as how to mine data in the computer, related data mining tools, and so on.

Only by supplementing the above basic knowledge of mathematics and data mining can you formally learn the principles of machine learning algorithms. In terms of algorithms, you need to master some basic frameworks: python, spark, mllib, scikit-learning, pytorch, tensorflow, and you need to know hql, numpy, pandas in terms of data.

1.Promote productivity improvement Promote productivity improvement is one of the important driving forces to promote the development of artificial intelligence technology, from the current application of artificial intelligence products in the industrial field, more agents will gradually enter the industrial field in the future, and artificial intelligence will also be a new driving force for the development of the industrial field Of course, artificial intelligence landing in the industrial field also needs to build corresponding application scenarios, this process is still relatively complex, I believe that under the current tide of industrial Internet development, The application of artificial intelligence will be further accelerated.

2.In fact, the use of artificial intelligence technology will not only reduce the difficulty of the job, but also further expand the ability boundaries of the staff, so that the workplace can become a comprehensive hand with the help of artificial intelligence technology.

3.Accelerate innovation The application of artificial intelligence technology will further promote innovation, which has very practical significance in the context of the current industrial structure upgrading Innovation is the driving force for enterprise development, and it is also an important foundation for enterprises to achieve green development and sustainable development Artificial intelligence accelerated innovation can be reflected in many aspects, such as the effective management of resources is a more common way.

Artificial intelligence mainly learns the language and mathematical operations of a program, including the organization of language, because these are all technologies that are closely related to their use!

Hello landlord, in fact, artificial intelligence is mainly to learn the way people communicate, and then his artificial intelligence has entered the relevant professional knowledge in a certain field, and its relevant professional knowledge storage is very large. And then use his stored knowledge to have a normal communication with humans. So the main thing about artificial intelligence is a technical exchange.

Artificial intelligence mainly learns AI technology. Some can be solved. Very complex issues of some procedures, as well as some of the day-to-day aspects of manpower mitigation issues.

Artificial intelligence, also known as intelligent machinery and machine intelligence, refers to the intelligence displayed by machines made by humans. In general, artificial intelligence refers to the technology that presents human intelligence through ordinary computer programs. Through advances in medicine, neuroscience, robotics and statistics, some believe that countless human occupations are gradually being replaced by artificial intelligence.

The techniques for analyzing artificial intelligence from basic disciplines are mainly learning mathematics, computers, algorithms, psychology, statistics, and probability. From a professional point of view, the main technologies learned by artificial intelligence are machine learning, image recognition, and natural language processing.

In fact, strictly speaking, artificial intelligence is not difficult to learn, but it is not easy to learn, it needs to have a certain foundation related to mathematics, and there is also a period of accumulation.

Artificial intelligence mainly increases the operation according to the input data, so as to obtain more accurate data, and at this time it cannot learn, but it is the result of the calculation.

Beginner AI must master some necessary mathematical foundations, but not all mathematical knowledge must be learned, only learn practical work, such as calculus, probability theory, linear algebra, convex optimization, etc., machine vision, robotics, natural language processing, and automation. Machine learning is the science that enables computers to act without programming, and is considered to be the automation of analytics, and there are three types of supervised learning, reinforcement learning, and unsupervised learning. Automation is the process of automatically generating the functionality of a system or process.