Information Technology at Sheremetyevo Airport
The article is devoted to the creation and development of information technologies at Sheremetyevo Airport.
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History
2024
Sheremetyevo Airport has created its own digital twin and now saves 1 billion rubles a year
Sheremetyevo International Airport has introduced a "digital twin" system, which allows you to save more than 1 billion rubles annually by optimizing the work schedule of employees. This became known on July 4, 2024.
The airport has developed and implemented a unique digital ecosystem of production process management in 2022. The system significantly increases the efficiency of resource management and optimizes costs.
The Sheremetyevo digital twin is an imitation model that counts the number of visitors at the airport every day. This helps management determine the exact number of personnel required to maintain baggage, sell tickets, maintain aircraft and clean up facilities.
Gleb Leonov, head of the department of modern automation and artificial intelligence of the IT integrator First Bit.NFP, explained that a digital twin is a digital copy of a system that lives and changes synchronously with a real object. The main property of the digital twin is that it is tied to reality.
The system makes it possible to predict all key indicators of the air hub. It simulates the operation of runways, passenger and cargo terminals, baggage handling systems, inspection equipment, as well as all personnel and equipment.
Mikhail Vasilenko, General Director of Sheremetyevo Airport, said that data to create a digital twin has been collected for 20 years. This made it possible to create an accurate and effective model of the airport.
Sheremetyevo became the first airport in Russia and one of the few in the world to receive Tier III certification for the Data Processing Center project. The new data center has increased the stability of business processes and the functioning of all key airport systems.[1]
Sheremetyevo Airport buys Russian servers and DSS for 190.8 million rubles
Sheremetyevo International Airport at the end of May 2024 announced the purchase of domestic servers and data storage systems (DSS systems) for a total amount of 190.8 million rubles. The corresponding tenders were published on the public procurement website on May 23, 2024, and applications for participation are accepted until June 6, 2024. The results will be announced on June 19, 2024. Read more here.
Sheremetyevo Airport switches to the Russian system of control and management of engineering equipment for 133.6 million rubles
Sheremetyevo International Airport in mid-May 2024 announced a tender for the introduction of domestic software for an automated engineering equipment control and control system (BMS). The purpose of this project is the import substitution of foreign analogues and the transfer of these systems to Russian software. Read more here.
2022: Sheremetyevo Airport presents digital ecosystem to industry community
On November 16, 2022, Sheremetyevo International Airport presented to the industry and expert community a set of developments as a basis for creating a national digital airport ecosystem.
 | The government has set a task for enterprises of critical infrastructure, including aviation transport, to carry out import substitution in terms of software as soon as possible . Sheremetyevo International Airport was headed by the Airports Industrial Competence Center, since we have developments, competencies and experience. We offer a solution that can be generally or in its component parts - modules applied in all airports of the country, noted the general director of JSC "MASH" Mikhail Vasilenko.
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Sheremetyevo developed and implements software using artificial intelligence methods.
The digital ecosystem of MASH allows you to automatically manage airport production by processing large amounts of data. The combination of these processes allows you to significantly optimize costs and increase efficiency.
MASH's digital process management ecosystem includes:
- AODB - Synchron Central Airport Database (CABD) - the main tool for managing the airport's operating activities;
- joint decision-making system with airlines (A-CDM);
- RMS - automated resource management system using a graphical interface;
- digital twin - a system of long-term and short-term modeling, analysis and optimization of airport activities using artificial intelligence methods, including neural networks;
- other promising systems, including management reporting and commercial tools to make timely, adequate decisions.
Sheremetyevo developed and implemented a joint decision-making system with airlines (A-CDM) using its own innovative Synchron production database.
An accurate forecasting system made it possible to develop a digital twin of Sheremetyevo Airport, which simulates the operation of runways, passenger and cargo terminals, baggage handling systems and inspection equipment, personnel and equipment. The advantages of the system are constant automatic retraining and instant reaction to changes.
The rapid response to changes allows Sheremetyevo to minimize the negative impact on the airport economy and maintain production capabilities to ensure stable functioning in constantly changing conditions. The Sheremetyevo digital ecosystem by optimizing planning allows you to save over 1 billion rubles annually.
The Sheremetyevo digital ecosystem provides flexibility to respond to the needs and needs of airlines by understanding the impact on the airport economy of their initiatives and makes it possible to provide additional service discounts. It benefits all parties: the airport, the airlines and ultimately the passengers.
| | and State industry business faced challenges and threats that in some cases accelerated the adoption and implementation of decisions on digitalization in, transport industries to import substitution decisions of foreign developers, and further ensuring technological sovereignty. A good example is the transition of all domestic airlines to Russian booking systems. The threat of unilateral termination of service by foreign and, providers as a result, a failure in air traffic, became an incentive for an accelerated transition - by the end of October 2022, all Russian airlines began to use domestic booking systems. I am sure that this large-scale project can become an example of how the state, together with business, can solve the urgent problems facing the industry as soon as possible, | |
2021
Sheremetyevo creates a digital model of the airport based on AI and Big Data. The effect of 1 billion rubles has already been obtained
In 2020, Sheremetyevo Airport took a significant step forward in the introduction of production modeling technologies, that is, a mathematical description of the processes of its activities. This is stated in the annual report of the airport, which was approved for June 28, 2021 at the annual general meeting of shareholders.
Consistent mathematical modeling of production processes solves the problem of forming a single digital model of airport operation, which will fully appear in the medium term, the report explains. In 2020, mathematical modeling covered, in particular, the following processes:
- maintenance of aircraft on the platform (both passenger and cargo),
- baggage handling in the automatic system,
- procedures for ensuring aviation safety.
At the same time, according to Sheremetyevo, the total effect of the introduction of the model has already exceeded 1 billion rubles.
The modeling also made it possible to reduce the number of flight delays, reduce queues for passengers, reduce the amount of lost baggage and build work shifts optimally in terms of the balance of employee interests and production needs.
According to the plan, in 2021, such processes as:
- determination of aircraft parking places and load modeling,
- runways (that is, in fact, optimization of the entire movement of aircraft on the airfield),
- check-in of passengers at the terminals,
- disabled passenger service, and others.
In 2020, Sheremetyevo's analytical team in the field of mathematical modeling began to use machine learning systems. And now the factors are revealed not on the basis of analysts' hypotheses, but on the basis of significant accumulated data (Big Data), mutual dependencies between which are determined by artificial intelligence systems. Thus, it was possible to increase the accuracy of forecasting by more than 5 times, according to the annual report.
As a result, the digital model of the airport in existing parameters allows you to make accurate forecasts of production activities and opens up new opportunities for financial and management planning. Already, the results of modeling are used in the processes of budgeting, planning capital expenditures, including for the construction of infrastructure, planning hiring and training of personnel. And recently, using modeling, decisions are made to attract certain airlines.
In the near future, the digital model will automatically optimize flight schedules taking into account infrastructure capacity, weather, aircraft delays at other airports, and minimize taxi time for passenger comfort. It will also create plans for recruiting, training personnel, determine the most effective work changes, determine the needs and plans for the purchase of equipment.
In addition, a system of recommendations is planned to coordinate the schedule, the system of management and approval of assumptions (production standards) and the development of tools for various departments to improve the transparency of decisions made.
| | The unified digital model of the airport is built in such a way as to take on such fundamental management tasks as monitoring and control of the airfield in the future, including visualization, traffic control, etc., automation of maintenance (baggage, check-in, inter-terminal transfer, passport control, security, etc.), operational management of the airport in real time (coordination of decisions by subdivisions, interaction with airlines, etc.), management of resource consumption (from fuel and de-icing fluid to utilities and budgets), personnel management, as well as forecasting and forward planning, - explained in the annual report of Sheremetyevo Airport. | |
Facial recognition system for automation of pre-flight procedures
In February 2021, it became known about the introduction of biometric control at Domodedovo and Sheremetyevo airports. The new technology will allow you to fully automate the passage of pre-flight procedures. Read more here.
2020: How AI Helps Manage the Airport: Sheremetyevo Experience
Speaking on November 24 at the TAdviser Summit 2020 online conference, Sergey Konyakhin, Director of the Production Modeling Directorate of Sheremetyevo International Airport, spoke about the experience and plans to use artificial intelligence technologies at the airport.
Sheremetyevo is the largest airport in Russia, possessing the largest terminal and airfield infrastructure in the country: 6 passenger terminals with a total area of more than 570 thousand square meters. m, three runways, cargo terminal with a capacity of 380 thousand tons of cargo annually, other facilities.
The uninterrupted functioning of all Sheremetyevo systems requires accurate planning, dispatching of all processes, efficient allocation of resources, said Sergey Konyakhin.
At the same time, forecasting of the airport's production activities should be formed taking into account a number of specific factors. Among them: heterogeneity of the volume of passenger traffic and cargo traffic - during the day, week, season, the need for resources and the load on the airport systems are constantly changing; infrastructure scale, load distribution between terminals, apron zones; the need for the interaction of a large number of airport services; impact of weather and seasonal factors.
Sheremetyevo Airport has developed and implemented systems for automatic long-term and short-term planning of personnel and resources in order to solve two important tasks - to reduce production risks and increase profit. More than 10 thousand people work at the airport and companies involved in servicing passengers and aircraft, thousands of pieces of equipment are used, a Sheremetyevo representative cited. To reduce risks and increase profits, the airport must know exactly the minimum required number of all types of personnel and equipment at a particular point in time at each point.
Knowing the need for personnel by month, the system selects the optimal staffing, recruitment, training and retraining schedules. Knowing the needs by the days of the week, the system will select the schedules for the arrangement of equipment, and by the hour - the system helps to plan early visits to work, lunches and relocation during the day.
To assess the needs for each period of time, you need to take into account many factors, says Sergey Konyakhin. The solution was the use of machine learning technologies. For each of the predicted values, optimal machine learning algorithms were selected, data were prepared, additional data aggregations were selected.
| | If we express ourselves in banking language, we must not just answer the question whether a person will return a loan or not, but we must say to which branch, at what time and what banknotes he will return this loan, - said Sergey Konyakhin. | |
As an example of the implementation of this analytics, Sergey Konyakhin cited the prediction of aircraft loading. Previously, it was taken equal to 80% of the aircraft layout. And the deviations reached up to 40%, which is not acceptable for optimal calculation. And with the help of machine learning, the accuracy of forecasts has increased almost 10 times in less than a year, he says. And that's not the limit.
| | Of course, we predict something better, something worse. Sometimes we are very "let down" by hockey teams or orchestras, which unexpectedly spoil the luggage forecast, - said a representative of Sheremetyevo airport. | |
He also told what the company faced when testing resource planning systems. It turned out that calculating the optimal amount of resources was not enough, since the managers were not ready to manage so many resources. As a result, it happened that the equipment was in the wrong locations, the resources were not distributed correctly between the zones within the day. Also at that time, lunches and delays at work had not yet been brewed. It turned out that the peak of the load could have come, and employees at that time were required to be released for lunch.
As a result, based on prediction systems, systems for automatic operational planning of resources and personnel were developed with recommendations for a shift for each dispatcher, says Sergey Konyakhin.
According to Sheremetyevo Airport, as a result of the introduction of automatic long-term and short-term personnel and resource planning systems, the following effects were achieved:
- calibration of the planning system on real processes and elimination of its drawbacks;
- Recommendation systems for managers have been implemented to manage resources taking into account future events;
- significant optimization of the company's expenses was carried out.
Further directions for the development of artificial intelligence systems are automatic dispatching and automation of the functions of administrative personnel, as well as the formation of the most transparent reporting and detailed factor analysis for the company's top management.
In the future, the use of artificial intelligence systems will help maintain a high quality of service for passengers, airlines and punctuality of flights, taking into account the long-term growth of passenger and cargo traffic.
2019: Key digitalisation projects
In the annual report for 2019, Sheremetyevo Airport reported on the key work done in the field of digitalization. The document notes that the airport continued to implement and develop modern information technologies aimed at improving business processes at the airport. Below are examples of the most iconic projects completed in 2019.
In the field of passenger services
Passport control cabins in Terminal C were equipped with DSM-Frontier reading devices (passport control services module) to control passenger access based on scanning an electronic boarding pass. The devices allow you to read information from the boarding pass bar code on your mobile phone and provide the controller with information about the flight on which the passenger is registered, without using a printed boarding pass on paper.
In addition, providing access to the DSM-Gate personal inspection control software module on the boarding gate racks allows boarding agents to monitor the passage of personal inspection by passengers and control the absence of restrictions when inspecting their luggage, the annual report says.
The transfer zone of the Southern Terminal Complex was equipped with IER710 gates for automated check of boarding passes and admission of transfer passengers from arriving flights to departure lounges for the next flight. The equipment was purchased and delivered at Sheremetyevo in 2019. Installation work began in November 2019, commissioning is scheduled for the summer of 2020.
New clusters of flight information display monitors for passengers were also installed, and solutions for displaying flight information in all airport terminals were unified in order to automate and improve passenger information service.
And car owners have the opportunity to pay for parking in Sheremetyevo through the official website of the airport and using a mobile application.
Back in 2019, a new software complex for managing the contact center for processing incoming telephone calls of passengers was put into operation. It is integrated with the airport's internal telephone network systems. During the project, internal information sites accessed by contact center employees were entered into the built-in knowledge base. Sheremetyevo claims that the result of the project was an increase in the efficiency of control over the operation of contact center operators.
In Baggage Handling
In 2019, Sheremetyevo introduced a modern unified baggage reconciliation system BRS (Baggage Reconciliation System) for all airport terminals. It allows you to track the status of baggage handling and inspection, keep records of its load throughout the airport, form baggage manifestos and reports, and upload baggage statistics for the external reporting system.
The BagTrack luggage analytical reporting system was also implemented, which allows you to form structured reports on all baggage registered and processed at the airport for any period, broken down into categories: sent, unsent, rash, uncanned, baggage of passengers with canceled transportation, as well as determine factors for unsent baggage.
A unified baggage messaging and flight information exchange system was also introduced to optimize the architecture of data exchange between baggage systems and with airline registration hosts, reduce the number of interfaces with external hosts and load on global information exchange networks. Now all baggage handling systems in the terminals and inter-terminal connections of the airport are connected to a single local message broker for the exchange of baggage messages and data transmission on flight schedules.
In the field of improving the efficiency of business processes
Sheremetyevo developed and implemented the principles of joint decision-making A-CDM (Airport-Collaborative Decision Making) based on the Synchron airport database, which is integrated with the IT solutions of the Aeroflot base airline, air traffic control bodies and partners. Due to the use of data from all production IT systems, it allows you to control the execution of operations completely in automatic mode with an accuracy of 1 minutes, Sheremetyevo said.
The system provides coordination of the work of various business units of the airport, airlines, handlers, ATM and representatives of state regulatory bodies. The airport says that this allows you to increase capacity, ensure punctuality of flights, reduce the waiting time in the aircraft departure queue for critical flights, and optimize the use of resources at the airport.
In addition, the modules of the automated resource management system (RMS) were introduced or significantly improved: "Prospective planning of check-in desks," "Personnel and special equipment management of the Baggage Handling Directorate," "Personnel management for the delivery of transfer baggage arrival," "Personnel management of Sheremetyevo-Security LLC," "Baggage handling management" and a number of others.
In the field of transport security
In 2019, according to Sheremetyevo, the following innovative solutions were implemented at the airport:
- a software and hardware complex was tested to automatically detect items prohibited from being carried into the transport security zone using neural networks;
- Terminals B and C have video surveillance cameras, which allow, among other things, the search for passenger traffic;
- a system of centralized control, information collection and monitoring of the state of operation of multi-zone arched metal detectors has been introduced, thanks to which it has become possible to remotely control equipment settings, obtain reliable information about the load of each checkpoint and, in turn, more efficiently allocate human resources involved in inspection;
- a radiation monitoring system has been implemented, which in the new Terminal C is equipped with all input groups. This solution allows you to check radiation safety without inconvenience for visitors, minimize the human factor when registering, archiving and processing data, generate alerts about alarming events in order to promptly respond and associate radiation monitoring data with video surveillance data;
- A system for monitoring the attention status of operators has been tested, which can mark the level of employee vigilance. The system for tracking the actions of operators is planned to be integrated into the inspection equipment of all airport terminals in the future.
| | It should be noted that a significant part of the equipment and security solutions at Sheremetyevo Airport is provided by domestic developers and manufacturers, the airport's annual report for 2019 notes. - This primarily applies to inspection equipment, video surveillance systems, access control systems, alarm and ringing alarms, software solutions of the upper level, as well as airport perimeter security systems. | |
2015
Building a Distributed Data Center Based on Cisco and NetApp Technologies
In October 2015, the company ATM-Group announced a project to create a distributed by DPC order on the Sheremetyevo International Airport basis of a system - FlexPod a joint solution of companies Cisco NetApp[2]The ATM-Group[3] says that Sheremetyevo used a data center to support[4] functioning of the airport's IT systems, which includes a developed network and server infrastructure, on the basis of which production and office IT services are provided, built both on specific airport applications and on services based on,,. At ON SAP Microsoft Oracle the same time, equipment and applications were distributed across two technological sites of different sizes.
To improve the reliability and quality of providing IT services at MASH JSC, it was necessary to combine the two existing sites into a single reliable data storage and processing infrastructure. This configuration would provide an additional layer of data protection using replication and the ability to redistribute the load.
To implement the task, according to ATM-Group, the specialists of MASH JSC considered the equipment of HP, IBM, Hitachi, Cisco and NetApp. Cisco and NetApp decided to provide a single product - FlexPod, which includes Cisco UCS servers, NetApp storage systems and Cisco converged switching equipment, the company said in a press release.
Read more about the project here.
Optimization of Oracle software costs
In April 2015, Comparex announced the completion of the Oracle license management project at Sheremetyevo Airport. Now the costs of Oracle licenses of one of the largest air harbor in Russia are calculated as accurately as possible, based on real needs and the optimal way to purchase software, Comparex said.
Sheremetyevo uses specialized systems to automate the company's activities based on Oracle technologies. One of these systems is the Synchron production database, said a press release from Comparex[5]. Synchron provides control of all business processes at the airport related to ground maintenance of aircraft.
2014: How Sheremetyevo IT infrastructure works. TAdviser interview with Kirill Kulikov
Kirill Kulikov, Head of the Technical Infrastructure Service of Sheremetyevo Airport IT Directorate, spoke in an interview with TAdviser in September 2014 about the IT infrastructure of one of the largest transport hubs in Russia, about current and planned projects, as well as about the IT services that the airport provides to third-party companies. Read more here.
IT passport of projects at Sheremetyevo Airport
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Notes
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