Neural network of urban economy

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The scope of AI application is expanding every day. If earlier the city management was carried out almost manually, now almost all processes are digitalized in one way or another. Stanislav Galagan, who managed the processes of creation and development of information resources of the Management Center of the Moscow City Economy Complex, told readers of RSpectr about how AI is being implemented in practice and what are the future prospects for its application in the city economy.

HOW MANY NUMBERS ARE IN MUNICIPAL ECONOMY?

Municipal economy is about numbers. In Moscow, for example, there are more than 70 thousand buildings and structures, 16 thousand kilometers of heating networks (the distance from Moscow to the South Pole of the Earth), 8 thousand kilometers of sewer collectors (the length of the automobile route from Moscow to Khabarovsk), 80 thousand kilometers of underground power grids (two lengths of the Earth's circumference at the equator).

Maintaining communications, providing residents and businesses with energy, water and heat, managing landscaping and major repairs, managing utilities and managing people in this area is very content writing service difficult. Each of the more than 50 city organizations that are part of the complex has its own information systems that are successfully developing, digitalization is underway in all areas of activity.




However, successful management of the city economy requires centralization of all information flows. And for these purposes, in May 2022, the Control Center of the City Economy Complex (CC CCE) opened in Moscow, which ensures the functioning of about 30 city life support systems - about a thousand parameters.

The purpose of any control center is to accumulate data for rapid analysis and management decision making.

The Center receives information from almost 100 different sources of information, from budget institutions to government agencies. Information is received both through interaction via software interfaces (automatically), and in semi-manual (sending template files via e-mail) or manual mode (input forms).

In addition, each organization from the areas of public utilities, housing and communal services, ecology, energy, road management and industry, included in the complex, has its own regulations, its own level of information technology, its own concepts of the criticality of incidents and its own performance indicators.

How can such diverse and voluminous information be processed within the walls of the Control Center, how can it be analyzed and how can a management decision be made with confidence? It is obvious that artificial intelligence cannot be used here.