RU2843805C1 - System for automated control of hiring foreign workers for situation centre - Google Patents

Abstract

FIELD: physics.

SUBSTANCE: invention relates to a situational centre software and hardware system. System for automated control of hiring foreign workers for a situation centre includes supporting subsystem (101), functional subsystem (102) and data management unit (24) connected thereto. Supporting subsystem and the functional subsystem comprise sets of interconnected units. Disclosed system technically enables to simultaneously process thousands of processes due to use of specialized processing algorithms, which is expressed in the ability to operate stably and efficiently with high technical loads.

EFFECT: increase in the productivity and reliability of the system for automated control of the hiring of foreign workers, expressed in increase in the number of simultaneously processed processes and reduction in the response time to the changing parameters of the hiring process, due to the information automatic processing and integration using software robots, generative artificial intelligence, machine learning algorithms and neural networks in the system units single configuration.

3 cl, 10 dwg

Description

[01] FIELD OF TECHNOLOGY

[02] The invention relates to the field of automation of management activities of organizational systems in the subject area of hiring foreign workers, namely to a software and hardware system of a situation center.

[03] LEVEL OF TECHNOLOGY

[04] Organizing work on hiring foreign specialists and migration processes is a pressing task associated with a large number of interrelated, constantly changing requirements. The main and most difficult stage of organizing the hiring of foreign labor is considered to be the recruitment process and legal support at all stages of the process of registering foreign labor workers.

[05] The process of hiring foreign workers is governed by numerous laws and regulations and includes twelve main stages (Fig. 1):

- Accreditation of the organization and the general director in the Ministry of Internal Affairs;

- Posting vacancies in the Employment Center;

- Obtaining quotas;

- Permission to attract and use foreign workers;

- Work permit;

- Invitation of a foreigner for a single-entry visa;

- Obtaining a work visa by a foreign citizen;

- Registration of a migration card;

- Registration for migration purposes;

- Temporary residence permit;

- Conclusion of an employment contract;

- Notification of conclusion of an employment contract.

[06] All these stages are known and are mandatory for both the host organizations and each invited foreign worker personally. However, at almost every stage, events often occur that are not regulated by any regulatory legal acts or instructions, but require immediate intervention and the adoption of an appropriate decision.

[07] The most frequently encountered problems and features of organizing work on hiring foreign labor include:

[08] - a significant volume of constantly changing interconnected regulatory acts;

[09] - the requirement to coordinate various types of documents with numerous government bodies;

[010] - the need for personal interaction with each candidate when working with thousands of groups of job candidates;

[011] - monitoring the progress of each foreign worker through the entire chain of required procedures, from obtaining a work permit and learning the Russian language to contractual relations with the employer and, in some cases, obtaining a temporary residence permit;

[012] - changes in the economic situation and the need for constant optimization of work organization parameters;

[013] - conducting activities to adapt foreign workers;

[014] - organization of medical care and, if necessary, quarantine.

[015] The implementation of measures to work with foreign workers, taking into account the above-mentioned features, is impossible without a specialized situation center system for managing and monitoring all hiring processes, which is a software and hardware complex. The main task of the situation center is to automatically collect data around the clock and manage all processes of working with foreign workers both at the level of teams and groups, and at the personal level.

[016] To accomplish this task, the organization of the situation center system, consisting of computers, servers and databases, united by both a local network and the Internet, must be filled with modern means of accumulation, processing and storage of information. Artificial intelligence and machine learning technologies play a special role in modern situation centers.

[017] Korea's application KR 20210117892, 09.06.2020, proposes a system for ensuring quarantine of foreign workers arriving in the country. The system includes two main blocks: medical examination and ensuring quarantine measures. The subsystems of the technical solution include health examination modules, a recommendation module, an entry approval and permission module, and a self-monitoring module. A disadvantage of the system is the lack of modules responsible for monitoring the foreign worker after entering the country, at least during the incubation period of possible infectious diseases.

[018] US application US 2003/0107472 A1, 07.12.2001 describes a system that performs passport control functions. The technical solution provided is limited to passport control procedures, without affecting the numerous interrelated processes of processing foreign workers. In addition, the passport control procedure for security purposes should not consist of operations open to public use, which makes the technical solution not feasible for security reasons.

[019] Patent CN 107766489 A, 17.10.2017, discloses a system for monitoring the life of foreign workers in the host country. The system consists of seven main monitoring subsystems: monitoring the state of production, income level, consumption level, infrastructure assessment, availability of public facilities, state of places of residence, quality of social security. The value of this technical solution is in the ability to identify emerging problems at a large-scale level in working with flows of foreign workers. However, the functions of the given technical solution are limited to monitoring the subject area of work with foreign workers.

[020] Patent CN 110569365 A, 29.09.2019, presents a technical solution that uses artificial intelligence technologies to build a knowledge graph of relationships among foreign workers. The knowledge graph obtained using the technical solution makes it possible to generalize, integrate and identify relationships between foreign workers. The information collected and processed in this way is used to improve relationships between foreign workers. This technical solution plays an important role as a research and advisory tool. However, obtaining the necessary data to build a knowledge graph requires longitudinal studies, which is not always possible in rapidly changing socio-economic conditions.

[021] There are various software products known, such as CaseEasy, eImmigration, Immigration, Case management software, immigration speed, which by their functions should be classified as electronic document management systems. In such systems, all work is performed by an employee of the company dealing with immigration issues, and any complex processing of information, the use of software robots, individual and group monitoring of foreign workers is not provided.

[022] Among the technical solutions, it is worth highlighting, for example, the IT-Axiom information system based on blockchain technology, which allows monitoring the processes of collecting, processing and storing the results of examinations of foreign citizens to obtain citizenship, a temporary residence permit, a residence permit, a work permit or a patent. The advantage of the system is the use of blockchain technology in its composition, due to which the possibility of falsification and manipulation of examination results is excluded. The operation of the IT-Axiom system is limited to monitoring functions, which is its main drawback.

[023] There are a number of mobile applications aimed at the work of both legal entities with foreign workers, and the foreign workers themselves.

[024] The M-Help. Help for Foreign Workers application is designed for foreign workers who want to stay informed about the current migration policy of the Russian Federation and monitor its changes. The application provides the opportunity to receive legal and medical online consultations.

[025] RosMigrant application. This service allows you to check if foreign workers are banned from leaving the Russian Federation, and provides the opportunity to pay off debts, patents, duties, and other types of payments.

[026] The Migrant-Assistant application provides foreign workers with reference information on the preparation of necessary documents, making payments, and the readiness of permits.

[027] The Salamport platform provides organizational and legal support for foreign workers. The application has the ability to search for employees by specialties and criteria, entrepreneurs can use the program to check the legality of their documents, transfer money, the software is integrated with office work and 1C.

[028] The arrangements for recruiting foreign workers vary considerably depending on whether a work visa is required or not.

[029] Almost all of the listed applications and services are aimed at so-called visa-free foreign workers. Such applications are to a greater extent individual tools for the work of the foreign workers themselves. In addition, the performance of the functions of employer companies in such applications, as a rule, is not provided. For information support of work with visa foreign workers, given the large complex of work on their support and the different rules for registration in different regions, a specialized system is needed that performs the functions of a situation center.

[030] A situation/control center is a room equipped with communications equipment, designed for the prompt adoption of management decisions, control and monitoring of objects of various natures, situations and other functions.

[031] RF application RU 2019102821, 16.11.2017, presents a technical solution for a standard situation center containing a closed telecommunications network, a control and coordination center, a set of information systems, a set of software and hardware, a single distributed information fund, a data storage and processing center, a comprehensive automated monitoring and control system, an information security system, and a quality and reliability conformity assessment system. Despite the declared standard situation center solution, the purpose of this technical solution is to organize product acceptance, including an assessment of product quality and reliability, which complicates its modification into a situation center focused on working with foreign workers.

[032] In utility model RU 105031, 10.12.2010, the situation center contains a unit of the object's measuring environment, a unit of information models connected to an information support unit, a result output unit, the input of which is connected to the output of the information support unit, and the input of the latter is connected to the output of the object's measuring environment unit, an analyst's measuring environment unit, a protocol support unit, and a subject-system integration unit, the outputs of which are connected to the inputs of the information model unit and the information support unit. This utility model of the situation center is oriented toward work in subject areas where a measuring environment exists. If the subject area contains non-formalized data, unstructured text information, it is not possible to apply such a technical solution.

[033] The closest analogue of the claimed invention is the “System of situational-analytical centers for organizational work”, described in patent RU 2533090, 11/29/2012. This system contains a telecommunications network, a control center, situational analysis centers, control points of the organizational system divisions, two-way communication facilities, means of monitoring objects that affect the state of the organizational system's activities, and ensures the ability to automatically generate scenarios using the computer systems of the control center, situational analysis centers, and control points of the organizational system divisions, store scenario data in the organizational system activity audit data storage system that is part of the control center, transmit scenario data using interfaces of the control center equipment, situational analysis centers, control points of the organizational system divisions, and using a telecommunications network to the computer networks of the control center, situational analysis centers, and control points of the organizational system divisions, a video system, and a computer for configuring the video system of the control center and situational analysis centers on the multimedia screens of the control center, situational analysis centers, and control points of the organizational system divisions for making decisions based on the developed scenarios. The technical result of this system is to increase the efficiency of the decision-making process through the automated generation of scenarios for solving problem situations.

[034] The disadvantage of this technical solution is the inability to work with objects that are not represented by any units of measurement, for example, with non-parametric models, unstructured data, informal descriptions of objects, fuzzy knowledge, etc.

[035] In practice, the number of foreign workers under the management of one company can amount to hundreds of thousands of people. In this group of many thousands, each of the foreign workers is required to undergo a whole series of necessary procedures (Fig. 1), and at each stage there are risks of various kinds of personal problems, up to and including a complete refusal to register the foreign worker and, accordingly, future work. The need for monitoring and taking appropriate measures both at the personal level and at the level of groups formed at various stages, together with frequently changing regulatory practices, including those that differ by region and industry, makes it impossible to automate the entire cycle of work based on existing abstract business processes that are understandable at the level of formal logic.

[036] Thus, the technical problem that the claimed invention is aimed at solving is the high level of uncertainty and risks in managing processes in the field of hiring foreign workers, associated with a large number of factors affecting the hiring process, which significantly affects the duration, efficiency and economic feasibility of the entire process.

[037] DISCLOSURE OF THE ESSENCE OF THE INVENTION

[038] The technical result of the invention is an increase in the productivity and reliability of the automated management system for hiring foreign workers, expressed in an increase in the number of simultaneously processed processes and a reduction in the response time to changing parameters of the hiring process, due to the automatic processing and integration of information using software robots, generative artificial intelligence, machine learning algorithms and neural networks in a single configuration of system blocks.

[039] The specified technical result is achieved in a system for automated management of hiring foreign workers for a situation center, due to the fact that it includes a support subsystem, a functional subsystem, and a data management unit associated with them. The supporting subsystem (101) contains: a simulation modeling unit for assessing the efficiency and risks of applying scenarios for the development of a situation when hiring a foreign worker, a knowledge management unit for collecting and storing documents related to the hiring of foreign workers, a software robots control unit for creating and checking documents related to hiring, a translator unit for translating data in real time, a machine learning unit for analyzing the compliance of the candidate's profile and resume with the posted vacancy, a generative artificial intelligence unit for providing reference information from external and/or internal documents related to the hiring of foreign workers, a knowledge testing unit for creating, testing candidates, as well as storing and demonstrating the results, a virtual assistant unit for informing the candidate about the stages of the hiring process, a neural network unit for biometric identification of the candidate and analysis of his speech, an information security unit for protecting the software and hardware and databases of the system, a knowledge graph unit for constructing and visualizing the interrelations of data in the employee hiring process. The functional subsystem contains: a personal data block for registration and storage of candidates' personal data, a block of specialty dictionaries for generating lists of correspondence between national specialty codes and foreign specialty codes, a monitoring block for identifying and forecasting changes in regulatory requirements related to the hiring of foreign workers based on information resources, a compliance block for checking the compliance of the organization's actions with internal corporate rules, a calendar block for planning events for employees and candidates, a payment block for making payments related to the hiring of foreign workers, a roadmap block for generating a plan for each candidate to complete all stages of employment, a medical monitoring and quarantine measures block for monitoring the health of candidates and their compliance with medical requirements, an anomaly block for monitoring the stages of the hiring process and checking for deviations from the specified parameter boundaries, a registration block in the system for registering documents, events and changes thereto, a protocol block for recording and archiving materials from events held, and a block of interaction between the system and mobile applications for working in the system. In this case, the data management block is connected to each of the specified blocks of the supporting subsystem and the functional subsystem with the ability to exchange data.

[040] In particular cases of implementation of the invention:

[041] - each block of the support subsystem and the functional subsystem contains a server, a database and at least one input/output device;

[042] - the system additionally includes a situation center multi-screen connected to the data control unit for displaying data, at least one situation center employee computer, and at least a situation center employee mobile device.

[043] The main advantage of the declared situation center system is its ability to simultaneously manage the employment procedure of tens of thousands of foreign workers at various stages of employment, in various countries and regions, speaking different languages. This capability was made possible by the system through the automation of various processes and the use of artificial intelligence technologies, neural networks, machine learning and simulation modeling in a complex of interconnected blocks.

[044] The use of the set of above blocks of the supporting and functional subsystems allows us to solve problems with a large number of constantly changing parameters, interconnected regulatory acts, personal interaction with each candidate when working with groups of thousands of foreign workers, monitoring the progress of each candidate for work along the entire chain of required procedures from obtaining a work permit and learning the Russian language to contractual relations with the employer and obtaining a temporary residence permit.

[045] As a result, the use of the declared system for managing the hiring of foreign workers increases the reliability and speed of the operations carried out due to control, accumulation of knowledge, use of an analytical apparatus based on modern technologies of artificial intelligence, machine learning and neural networks. Full control over the registration procedure also contributes to an increase in the level of general security and a decrease in crime among foreign workers.

[046] BRIEF DESCRIPTION OF DRAWINGS

[047] The invention is explained by drawings, where: Figure 1 shows a diagram of the sequence of operations for registering a foreign worker; Figure 2 shows a diagram of the system composition; Figure 3 shows a diagram of a typical block of the system; Figure 4 shows a diagram of the situation center system; Figure 5 shows a diagram of the visualization of the process of registering a foreign worker; Figure 6 shows an example of visualization of various stages of registering a group of foreign workers; Figure 7 shows an example of visualization of contacts of a foreign worker; Figure 8 shows a diagram of the system's operation when registering a general director and a company; Figure 9 shows a diagram of the system's operation in working with the employment center; Figure 10 shows a diagram of the system's operation in working on registering quotas.

[048] The elements in the figures are designated by the following positions:

1 – simulation block,

2 – document knowledge management block,

3 – control unit for software robots,

4 – translator block,

5 – machine learning block,

6 – block of generative artificial intelligence,

7 – knowledge testing block,

8 – virtual assistant block,

9 – neural network block,

10 – Information security block

11 – knowledge graph block,

12 – personal data block,

13 – block of specialty dictionaries,

14 – monitoring unit,

15 – compliance block,

16 – calendar block,

17 – payment block,

18 – road map block,

19 – medical control and quarantine measures unit,

20 – block of anomalies,

21 – registration block in the system

22 – protocol block,

23 – block of interaction of the system with mobile applications,

24 – data control unit,

25 – situation center multi-screen,

26 – computer of the situation center employee,

27 – mobile device of the situation center employee,

28 – communication network,

29 – customer,

30 – employment center,

31 – departmental sites,

32 – Ministry of Internal Affairs of the Russian Federation (MVD RF),

33 – Ministry of Labor of Russia,

34 – Interdepartmental Commission on the Attraction and Use of Foreign Workers (IMC)

35 – Department of Labor and Social Protection of the Population (DLSPP),

36 – Federal Tax Service (FTS)

101 – functional subsystem,

102 – supporting subsystem,

301 – server,

302 – database,

303 – Input/output device.

[049] IMPLEMENTATION OF THE INVENTION

[050] The claimed system includes a support subsystem (101), a functional subsystem (102), a data control unit (24), and, optionally, additional components such as a multi-screen (25) of the situation center, a computer (26) of the situation center employee (25), a mobile device (27) of the situation center employee.

[051] The supporting subsystem (101) and the functional system (102) consist of interconnected software and hardware units (1-23). The supporting subsystem (101) includes: a simulation modeling unit (1), a document knowledge management unit (2), a software robots management unit (3), a translator unit (4), a machine learning unit (5), a generative artificial intelligence unit (6), a knowledge testing unit (7), a virtual assistant unit (8), a neural network unit (9), an information security unit (10), a knowledge graph unit (11). The functional subsystem (102) includes: a personal data block (12), a specialty dictionary block (13), a monitoring block (14), a compliance block (15), a calendar block (16), a payment block (17), a roadmap block (18), a medical control and quarantine measures block (19), an anomaly block (20), a system registration block (21), a protocol block (22), and a system interaction block with mobile applications (23).

[052] The simulation modeling block (1) uses discrete-event models to assess the effectiveness and risks of using certain scenarios for the development of the situation. In conditions of frequent changes in regulatory legal acts, simulation modeling allows us to predict the consequences of the impact of various changes on existing processes and assess possible risks.

[053] The knowledge management unit (2) collects, stores and provides users with information on all processes related to the hiring of foreign workers. The sources of information are published regulatory legal acts, internal corporate documents, descriptions of various complex situations and their solutions, materials from seminars, data obtained as a result of modeling, and the results of employees' work with chatbots based on generative artificial intelligence;

[054] The software robot control unit (3) creates various documents according to a given algorithm. In the conditions of simultaneous support of a contingent of many thousands of foreign workers, the possibility of documentary support both at the personal and group level is a fundamentally important function of the system. Software robots also perform functions of checking the correctness of filling out numerous printed documents, converted into electronic form for the purpose of control.

[055] The translator unit (4) performs in real time the functions of translating documents, messages and other information from one language to another, as well as the functions of converting voice into text or text into voice, and text on paper into an electronic copy.

[056] The machine learning block (5) uses big data analysis to identify the most successful candidate profiles, analyze resumes, and optimize the training system and delivery of training. Machine learning models allow for a better assessment of the degree to which a candidate meets the requirements of a vacancy.

[057] The generative artificial intelligence block (6) provides, upon request from the situation center staff, the necessary information and reference information based on both external sources and internal corporate databases.

[058] The knowledge testing block (7) of candidates for vacant positions performs the functions of creating tests, conducting tests, storing and demonstrating test results. The testing block also allows for the analysis of both individual test results and mass testing statistics. In some cases, the analysis of test results allows for finding the right candidates for other vacancies among those who failed the tests for the vacancy selected by the candidate.

[059] The virtual assistant block (8) performs the functions of supporting the candidate at all stages of the hiring process, explaining and suggesting what actions should be taken in certain cases.

[060] The neural network block (9) performs the function of candidate identification based on submitted questionnaires, letters of recommendation, publications on social networks, analyzes the candidate's speech at the interview, the depth of answers to formal professional questions. Considering that most initial interviews with foreign workers are conducted remotely and, as a rule, through an interpreter, the neural network in these cases plays an auxiliary role as a biometric authentication tool.

[061] The information security unit (10) provides comprehensive protection of software, hardware and databases of the entire situation center system, including personal data of foreign employees.

[062] The knowledge graph block (11) performs the functions of identifying and displaying the relationships between different segments of information about the current work. The knowledge graph allows you to visualize and analyze the entire range of questions when certain problems arise.

[063] The personal data block (12) performs the functions of registration, storage and provision upon request of information on personal data, including information on the progress of foreign workers through all stages of employment registration.

[064] The block of dictionaries of specialties (13) performs the functions of forming lists of correspondence between codes of Russian (national) specialties and codes of foreign classifiers.

[065] The monitoring unit (14) carries out regular monitoring of Internet information resources, specialized databases, social networks, and its own corporate resources, including meeting minutes, using software robots, in order to obtain timely information about all existing and projected changes in regulatory legal acts concerning foreign workers.

[066] The Compliance Unit (15) carries out a formal check of the organization’s actions to ensure that they comply with established internal corporate requirements and rules, as well as with legal norms.

[067] The calendar block (16) serves as an event planner for both the organization’s employees and registered foreign employees at the individual and group levels.

[068] The payment block (17) performs the functions of paying numerous duties, commissions, fees and services, the need for payment of which arises during the registration process both individually for each foreign employee and at the group level.

[069] The roadmap block (18) creates a schedule and reference information for each foreign worker to complete all stages of employment registration.

[070] The Medical Control and Quarantine Measures Unit (19) monitors the health of foreign workers and their compliance with established requirements and regulations. If any of the arriving foreign workers are found to have signs of particularly dangerous diseases, it prepares an action plan for managers in accordance with the requirements of legislative acts.

[071] The anomaly block (20) monitors all processes of hiring foreign workers, identifying within the specified tolerant boundaries any deviations from the established time and event parameters, including, but not limited to, the occurrence of abnormal situations, conflicts, criminal incidents, and violations of contractual relations.

[072] The registration block in the system (21) performs the functions of registering documents, events, activities and changes in the system.

[073] The protocol block (22) documents and archives materials from meetings, negotiations and other events, and, if necessary, in cooperation with the online translator block (4), converts voice messages into text with subsequent indexing and provides the ability to search for the necessary information.

[074] The system interaction block with mobile applications (23) provides registered users with the opportunity to work in the situation center system using mobile devices.

[075] The data control unit (24) combines the subsystems (101) and (102) and other units into a single system via a communication network (28), which allows various units to exchange information, and displays the information received from various units on a multi-screen (25).

[076] The situation center split screen (25) is a device that displays information simultaneously on several screens or on several sections of a single large monitor. The split screen allows the situation center employee to monitor information simultaneously in different work areas.

[077] The situation center employee's computer (26) allows the situation center employee to input (output) information, controlling the operation of the situation center system.

[078] The mobile device (27) allows the situation center employee to receive data and control the system remotely.

[079] Each block (1-23) of the described subsystems (101) and (102) includes, but is not limited to: a server (301), a database (302), and input/output devices (303) (see Fig. 3). Input/output devices (303) may include: employee computers, printing devices, scanners, monitors, mobile devices, servers of other blocks, as well as other devices intended for input/output of information.

[080] A server may be a single device or a computer program running on the hardware. The hardware may be, for example, a single physical computer or a single physical computer system. A database may be any structured collection of data.

[081] All units of the situation center system are connected by a communication network, a local network and/or the Internet, referred to in the declared technical solution as the situation center system (28).

[082] In the context of this application, a "server" means a computer program running on the corresponding hardware. The hardware may be, for example, a single physical computer or a single physical computer system. In the context of this application, a "database" means any structured set of data.

[083] The operation of the described system includes (but is not limited to) the following operations:

[084] - receipt of a request for the needs of foreign workers through the communication network to the data management unit (24);

[085] - display of data on the split screen (25) and computer (26) of the situation center employee about all processes, stages of registration both at the group and personal level;

[086] - input by a situation center employee of commands to begin one or another procedure for hiring foreign workers;

[087] - filling out various forms of documents by the control unit of software robots (3) in response to a command received from an employee’s computer;

[088] - control over the duration of operations, in particular, control over the waiting time for a response from various organizations and departments, carried out by the calendar block (16);

[089] - registration by the registration block (21) of all job candidates, as well as all incoming and outgoing documents;

[090] - testing by the knowledge testing block (7) of the professional and personal qualities of registered candidates;

[091] - analysis by the machine learning unit (5) of resumes and identification during testing of successful candidate profiles;

[092] - identification by the neural network block (9) of a candidate based on submitted questionnaires, letters of recommendation, and publications on social networks.

[093] - analysis by the neural network block (9) of the candidate’s responses during testing to formal professional questions;

[094] - translation by the translator unit (4) in real time of voice messages and texts from foreign languages into Russian and from Russian into foreign languages;

[095] - sending by the testing unit (7) of the testing results to the Employment Center and to the customer of the employee hiring service;

[096] - providing the testing unit (7) with the opportunity for organizations interested in the service of hiring foreign workers to monitor the progress of testing both in the form of a video recording and in real time;

[097] - formation by the block of a calendar (16) upon completion of testing and a 30-day period for publication on the “Work in Russia” website of a schedule (“road map”) for carrying out operations to hire foreign workers;

[098] - checking by the monitoring unit (14) the relevance and, if necessary, updating of regulatory information data, as well as documents and forms required for execution;

[099] - transfer of updated information from the monitoring unit (14) to the knowledge management unit (2);

[0100] - requests from the control unit of software robots (3) for various documents required for the registration of a foreign worker in the relevant departments and organizations;

[0101] - conversion by the translator unit (4) of received documents on paper media into an electronic copy;

[0102] - verification by the compliance block (15) of the compliance of documents collected from the customer and departments with established norms and rules, using updated data received from the knowledge management block;

[0103] - registration of packages of sent documents in the registration block in the system (21);

[0104] - implementation by the payment block (17) of duties, commissions, fees and services, the need for payment of which arises in the process of registration both personally for each foreign employee and at the group level;

[0105] - formation by the unit (18) of personal “road maps” for each selected foreign worker, including a schedule for completing various organizational activities and information and reference information;

[0106] - monitoring by the monitoring unit (14) of the foreign worker’s passage through all stages of registration;

[0107] - personal support for a foreign employee using a virtual assistant unit;

[0108] - recording by the protocol block (22) of all audio conversations and converting them into text format, carried out by the translator block (4);

[0109] - simulation modeling by block (1) of possible options for the development of processes for the registration of foreign workers;

[0110] - analysis of data accumulated in the system using machine learning technologies and neural networks in the anomaly block (20);

[0111] - construction by block (11) of a knowledge graph displaying the relationships between different segments of information about the current work;

[0112] - control by the unit (19) of the health status of a foreign worker based on data from periodic medical examinations and information in the event of illness and contact with medical institutions;

[0113] - provision by the generative artificial intelligence unit (6) of the necessary information based on both external sources and internal corporate databases at the request of the situation center employees.

[0114] Most of the blocks operate in an interconnected manner, so the listed operations can be performed both by individual blocks and by a complex comprising several blocks. The information security block (10) performs the functions of protecting the information of all blocks and the communication network included in the perimeter of the situation center system.

[0115] All diagrams use arrows to indicate the direction of command/signal transmission, which does not exclude feedback between blocks. Individual blocks are indicated by dotted lines on the diagram. This means that the block indicated in the dotted line on the diagram is displayed twice for ease of visualization.

[0116] The situation center system can operate as follows (Fig. 4).

[0117] The customer (29), using the Internet communication network, sends lists of requirements for foreign workers to the system. The lists are received by the data management unit (24) and displayed on the split screen (25) and the employee's computer (26). These lists include information on the required specialties, the number of foreign workers, the desired region from which the employees will arrive, for example, India, Sri Lanka, etc.

[0118] Having received information about an order to hire foreign workers in the required specialties, an employee of the situation center, using a computer (26) or a mobile device (27), sends a command to the control unit of software robots (3) to begin the procedure for hiring foreign workers.

[0119] Next, the software robot control unit (3) converts the data on the need for foreign workers into the forms specified by the Employment Center and sends the converted data to the Employment Center (30) for publication on the Work in Russia website (www.trudvsem.ru). The published information on available vacancies is stored on the Work in Russia website for 30 days. Only after this period has expired and there are no candidates to fill the vacant positions is it possible to continue working on hiring foreign workers. The publication period for each vacancy is tracked by the calendar block (16). During the established publication period, the Employment Center (30) can send job candidates to the employer. These candidates are registered using the interface of the registration block (21). During registration, candidates provide their resumes, letters of recommendation, links to personal pages on social networks, if any. The personal data of registered candidates is stored in the personal data block (12). Data on registered candidates is sent to the testing unit (7), where candidates undergo testing of professional and personal qualities. Test questions are displayed on the screens of the testing unit (7) and are duplicated by voice using the virtual assistant unit (8). Before testing, the candidate can choose the language in which he prefers to answer questions on the specialty. The translator unit (4) acts as an interpreter during testing.

[0120] The test results are assessed according to criteria developed in advance by the customer, stored in the machine learning block (5). The machine learning block (5), based on the analysis of “big data”, identifies the most successful candidate profiles, analyzes resumes, optimizes the training system and the conduct of trainings. Machine learning models allow for a better assessment of the degree to which a candidate meets the requirements of a vacancy.

[0121] The anomaly block (20) identifies any deviations from the established parameters during testing, such as a candidate’s refusal to undergo testing of their own free will, interruption of testing for personal or technical reasons, etc. The data on the testing results from the testing block (7) are sent to the data control block (24) and then to the personal data block (12). The data control block (24) sends the testing results to the Employment Center (30) and the customers (29), who can conduct interviews and hire candidates based on the testing results. The employees of the Employment Center (30) and the customer (29) registered in the registration block (21) also have the opportunity to monitor the testing process in real time, receiving direct access to the testing block (7) through the gateway of the security block (10).

[0122] If there are any vacancies left within the one-month period of publication on the “Work in Russia” website and the completion of testing of Russian job candidates, the situation center system begins the procedure for hiring foreign workers. In this procedure, a significant amount of work consists of preparing numerous documents, filling out the required forms, and sending the collected packages of documents to various departments regulating the hiring of foreign workers. Given the constantly changing list and requirements for these documents, the system provides for a process for updating (changing) the requested documents.

[0123] All previously received documents for registration of foreign workers through departments are stored in the knowledge management unit (2). In order to check the relevance of the documents stored in the knowledge management unit (2), the data management unit (24) periodically or upon a command received from the employee's computer (26) then sends a command to the monitoring unit (14) to check for changes. Upon this command, the monitoring unit (14) requests from the knowledge management unit (2) the addresses of the documents stored on departmental websites, their creation dates and file size. The monitoring unit (14) sends the received file details to the software robot control unit (3). The software robot control unit (3) checks the documents stored on departmental websites (31) at the specified addresses. If documents with the same date and file size are stored at the specified addresses, the software robot control unit (3) sends a signal to the monitoring unit (14) that there is no need to download the document being checked. In this case, the document previously stored in the knowledge management unit (2) will be used for further work. If the software robot control unit (3) detects at the specified address that the document stored there has been changed (creation date and/or file size) or that the file with the documents is missing altogether, the software robot control unit (3) transmits a signal about the change to the monitoring unit (14). Then the monitoring unit (14) transmits a signal about the changes to the data control unit (24). Information about the change is displayed on the split screen of the situation center (25), the employee's computer (26) and through the mobile application interaction unit (23) on the employee's mobile device (27). After the situation center employee has made a decision, the command about the need to download the latest version of the document, use the old version or send a request to the support service is entered from the employee's work computer or mobile device. If a new document address is received from the department's support service, this address is entered into the knowledge management unit database and transmitted to the software robot control unit for downloading the updated version of the document. Then the updated version of the document received by the software robot control unit (3) is sent to the knowledge management unit (2) for storage and use in further work.

[0124] At almost all stages of the registration of a foreign employee for work, it is necessary to pay duties, commissions, various fees and services. The payment function in the system is performed by the payment block (17).

[0125] The operation of monitoring legal, regulatory and reference information is carried out both on a periodic basis and upon command from the situation center employees, entered from their work computers (26).

[0126] The data control unit (24) performs the main role of collecting information coming from the other units. This information is displayed on the split screen (25).

[0127] An example of visualization of information on the general status of the registration procedure both at the personal level and at the level of various groups is shown in Fig. 5. Visualization of the process of registration of foreign workers is performed as follows. Personal information on all foreign workers is accumulated in the situation center system in the registration block (21). Then, the personal information entered in the registration block (21) is redirected to the personal data block (12), where it is stored in the database of this block for further use. The information security block (10) protects the personal data both stored in the personal data block (12) and at all stages of its use during the registration of a foreign worker.

[0128] From the moment of registration of job candidates, the roadmap block (18) generates a “roadmap” for each foreign worker with a description of all the events required for registration. The candidate reports all events to the situation center. The candidate communicates with the situation center system using the virtual assistant block (8) and the online translator block (4). The audio recording of the communication is recorded and stored in the data management block (24). At the same time, the audio recording, if it is in a foreign language, is translated into Russian in the translator block (4) and the audio file is converted into text. Then the text file from the translator block (4) is sent to the personal data block (12), where all information related to the activity of each candidate is collected in the database.

[0129] The information collected in the personal data block (12) is analyzed using a set of blocks: simulation modeling (1), machine learning (5), neural network (9) and anomalies (20).

[0130] The analytical block complex operates as follows. The simulation modeling block (1), using the apparatus of mass service theory and the results accumulated in practice, calculates possible scenarios for the development of the process of registration of foreign workers. The main scenarios are "What if" (no visa issued, failed testing, fell ill, refused employment, etc.), "Changes in legislation" (the first part of the registration took place according to one set of legislative norms, and the second should take place according to new norms), "Formation of queues" (many processes, such as issuing visas, testing, etc., are carried out only according to a pre-agreed schedule and have resource constraints). The modeling results from the simulation modeling block are sent to the machine learning block (5), which also stores data obtained from practical experience in registering foreign workers.

[0131] The neural network block (9) identifies candidates based on submitted questionnaires, letters of recommendation, and publications on social networks; analyzes the speech of candidates during testing, and the depth of their answers to formal professional questions. Considering that most initial interviews with foreign workers are conducted remotely and, as a rule, through an interpreter, the neural network in these cases plays an auxiliary role as a biometric authentication tool.

[0132] The neural network block (9) is first trained on the data stored in the machine learning block (5). The trained neural network (9) processes the data from the personal data block (12), identifies the processes both individually for each candidate and by groups, clusters the data for candidates at the same stage of registration, and records the compliance of the state with the specified schedule. The results of the neural network block (9) are transferred to the knowledge graph block (11), which performs the function of constructing a state graph of the process of registration of foreign workers. The constructed state graph is displayed on a split screen (Fig. 6).

[0133] Fig. 6 shows clusters of foreign workers at various stages of the registration procedure. The clusters are marked with different colors, which characterizes the level of compliance of the foreign worker with the specified schedule. In particular, the process where additional measures are required to meet the planned standards is marked in red.

[0134] If, during the analysis of personal data, anomalous processes are detected that have not previously been recorded in the machine learning unit (5), the signal and data about this event are transmitted to the anomaly unit (20), which additionally collects data on similar features from the knowledge management unit (2). The collected data is sent from the anomaly unit (20) to the data management unit (24) and the employee's computer (26). After acceptance on this case, the data in the form of a sequence of actions is sent from the employee's computer (26) to the knowledge management unit (2) and the machine learning unit (5).

[0135] The data obtained in the knowledge graph block (11) are also sent to the medical control and quarantine measures block (19). This is done in case of emergency, if any of the arriving foreign workers suddenly show signs of illness that require urgent quarantine measures. The status graph of the registration procedure allows identifying all foreign workers who were in direct contact with him at one time or another. (Fig. 7).

[0136] Anomalous situations may also occur as a result of disagreements with regulators (organizations and departments), customers of the personnel hiring service, and partners. Interaction with external organizations is carried out in the situation center system through the data management unit (24), the protection of communication with which is carried out by the information protection unit (10).

[0137] The data management block (24) is linked to the protocol block (22), where all data on interactions with customers, organizations, and departments are stored: email correspondence, conversation recordings and their text transcripts, electronic copies of signed documents. Audio files are converted into text files in block (4). All outgoing documents are checked for compliance with established rules and forms in the compliance block (15) before being sent to recipients (departments and customers), for which the prepared document in the block is compared with sample documents stored in the knowledge management block (2).

[0138] In practice, we have to deal with different interpretations of some specialties. Many countries have their own classifiers of specialties, in which individual specialties often have additional classes. For example, gas welder, electric gas welder, thermite welder, etc. To avoid disagreements with customers and partners in hiring personnel abroad, the situation center system includes a block of specialty dictionaries (13), which stores a table of correspondence between the Russian classifier of specialties and foreign analogues.

[0139] The operation of the recruitment management system for the situation center can also be illustrated by the following examples.

[0140] Example No. 1. Accreditation of a company and its general director in the Ministry of Internal Affairs of Russia.

[0141] If the employment center (30) has not found candidates for all the vacancies published on its website, the situation center begins the procedure for hiring foreign workers. For this purpose, the company (customer) hiring foreign workers and its general director must be registered with the Ministry of Internal Affairs (32). This procedure is carried out in the situation center system as follows (Fig. 8).

[0142] The customer (31) notifies the situation center of the need to begin work on attracting foreign workers. This information from the customer is sent to the information management unit (24). Upon receipt of information on the need to begin work on attracting foreign workers, a request is generated in the data management unit (24) to the knowledge management unit (2), where data on the latest updates to regulatory documents, the file sizes of these documents, their creation dates, and the addresses of the regulatory documents in the departments are stored. This data is transferred from the knowledge management unit to the data management unit (24).

[0143] Next, the data control unit (24) sends a command to the software robot control unit (3) to begin checking the relevance of the documents required for registering the CEO and the company. The list of required documents is requested by the software robot control unit at the address received from the data control unit (24) on the website of the Ministry of Internal Affairs of the Russian Federation.

[0144] The updated data received from the site on the documents required for registration of the general director and the company are sent by the software robot control unit (3) to the data control unit (24).

[0145] Then the data control unit (24) sends a command to the software robot control unit (3) to obtain the required documents from the customer. Simultaneously with the request sent to the customer, the software robot control unit (3) sends a request to the Federal Tax Service (36) for the purpose of obtaining data on the company and the CEO for the purpose of checking the documents received from the customer.

[0146] After the situation center system receives the required documents on paper from the customer, all information from physical media is converted into electronic form and stored in the data management unit (24).

[0147] The data received from the Federal Tax Service (36) are sent by the software robot control unit (3) to the compliance unit (15), where the data received from the customer (31) is compared with the data received from the department. In the event of any discrepancies in the data, a repeat request is sent to the customer in accordance with the above scheme, indicating the discrepancies found. If the compliance unit (15) does not reveal any discrepancies, the documents on physical media are sent in accordance with the established procedure to the Ministry of Internal Affairs (32), after which the registration unit (21) records the incoming and outgoing numbers of the document package with the corresponding dates of execution. The date of submission of documents from the registration unit (21) is transferred to the monitoring unit (14) and the anomaly unit (20) with the task of tracking the deadline for obtaining accreditation from the Ministry of Internal Affairs (32). The calendar block (16) stores information on the standard deadline for obtaining accreditation - 3 days. Information on the execution deadline is received by the monitoring unit (14) from the calendar unit (16). In case of a significant (two times or more) exceeding of the deadline for consideration of the accreditation issue, information on the recorded violation for decision-making is received from the anomaly unit (20) to the data management unit (24) and displayed on the split screen (25) and the employee's computer monitor (26). At the same time, data on the violation of accreditation deadlines is received by the knowledge management unit (2), where information on similar cases and possible scenarios for the development of events was previously collected, including forms and sample letters for appeals to the Ministry of Internal Affairs of the Russian Federation and other agencies. All information collected in the knowledge management unit (2) on the issue of violation of deadlines or reasons for refusal of accreditation is sent to the data management unit (24) and the employee's computer (26) for decision-making.

[0148] Example No. 2. Employment center.

[0149] According to the existing rules, before starting the procedures for hiring a foreign worker, the employer is obliged to post information about existing vacancies on the job site "Work in Russia". The employment center reviews the application and, if possible, offers candidates for the position with Russian citizenship. The employer must interview all potential employees, even if he intends to hire a foreign worker. If no Russian applicant meets the employer's requirements, it is allowed to submit documents for a permit to hire a foreign specialist.

[0150] The procedure for working with the Employment Center is implemented as follows (Fig. 9).

[0151] The customer (29) sends a list of vacancies, in some cases numbering in the thousands, to the situation center system. The lists are entered using the interface of the data management unit (24). These lists are then transferred to the software robots control unit (3), which publishes information about vacancies on the “Work in Russia” website. The employment center reviews the published vacancies and offers the recruiting agency possible candidates with Russian citizenship.

[0152] Interviews and testing of candidates are conducted in the situation center system in the following order.

[0153] Candidates register in the situation centre system in the registration block (21). The candidate's personal data is stored in the personal data block (12), protected in accordance with existing requirements by means of the information security block (10). After registration, the candidate gains access to the testing block (7).

[0154] The customer, together with the staff of the situation center, forms a list of questions for testing candidates, which is stored in the testing block database (7). The questions include both an assessment of the level of knowledge in the specialty and personal qualities.

[0155] The peculiarity of testing is that the dialogue with the candidate is conducted at the level of voice messages, which is similar in form to the interview. For this purpose, questions are initially recorded in the testing block (7) in text form. Then the text messages are transferred to the translator block (4), which converts the text into voice. Depending on the candidate's choice, the voice message can be immediately translated into any language of the peoples of Russia or a foreign language. Then the question in the form of a voice message is transferred to the virtual assistant block (8), which transmits this question to the candidate. The candidate in a formal form, for example, "Yes" or "No" or, depending on the question, also answers the question by voice. All the candidate's answers are sent through the virtual assistant block (8) to the translator block (4), where the voice is converted into text. Then the text messages are sent to the machine learning blocks (5), neural network (9) and testing (7).

[0156] The machine learning unit (5) evaluates the candidate's compliance with the vacancy requirements based on accumulated statistics and Big Data analysis technologies. The evaluation results are sent to the testing unit (7).

[0157] The neural network block (9) analyzes the candidate's speech both at the level of depth of professional knowledge, for example, and personal qualities, his cultural and intellectual level. In some cases, the neural network plays an auxiliary role as a biometric authentication tool. The testing data processed in the neural network block (9) are sent to the testing block (7).

[0158] In the testing block (7), all the information collected on the testing results is summarized in a final report with the conclusions and recommendations of the situation center, which is sent to the customer. In some cases, the analysis of the testing results allows finding the right candidates for other vacancies among those who failed the tests for the vacancy chosen by the candidate.

[0159] All test results from the testing block (7) are sent to the data management block (24), directly to the Employment Centre (30), and also to the personal data block (12). The data stored in the personal data block allows for the identification of candidates when they are re-directed from the Employment Centre (30) to the situation centre.

[0160] During online testing, various deviations from the established procedure may occur. For example, a candidate voluntarily refusing to undergo testing, interrupting testing for personal or technical reasons, identifying attempts to deceive the testing system. The function of detecting anomalies during testing (proctoring) in the situational modeling system is performed by the anomaly block (20), where the main tool is the neural network of the neural network block (9), trained on data stored and constantly updated in the machine learning block (5).

[0161] In the event of anomalies, the anomaly block (20) sends a signal to the data control block (24), where the signal about the anomalous event is displayed on the split screen (26) for decision-making by the situation center employee.

[0162] The system provides the opportunity for the Employment Center employees to monitor the testing process in real time. This opportunity is provided by direct connection of the Employment Center employees registered in the situation center system to the testing unit (7). The customer's employees have the same opportunity.

[0163] All operations carried out are controlled both from the computers of the employees (26) of the situation center system, and through the mobile application block (23) from mobile devices connected to the system.

[0164] The procedure for working with the Employment Center implemented in the situation center system allows for the simultaneous testing of up to ten thousand job candidates.

[0165] Example No. 3. Obtaining quotas (Moscow).

[0166] In the event of a need to obtain a quota for attracting foreign workers, the situation center system operates as follows (Fig. 10).

[0167] The situation center employee sends a command in the form of a signal to the data control unit (24) from his computer (26). The data control unit (24), having received a signal about the start of the quota registration procedure, transmits commands about the start of the quota obtaining procedure to the software robots control units (3), knowledge management (2), monitoring (14), compliance (15), and calendar (16).

[0168] Next, the data control unit (24) issues a command to the software robot control unit (3) to send applications on the need to attract foreign workers to the department established by law at the given moment.

[0169] The software robot control unit (3) establishes a connection with the information and analytical system "Migration Quotas" (migrakvota.gov.ru) and fills out the relevant forms in accordance with the rules established on the website. After filling out the forms in the "Migration Quotas" system, the software robot control unit (3) sends a signal to the monitoring unit (14), which stores data on the application review periods established by regulatory documents. In particular, sending applications for review to members of the Interdepartmental Commission on Attracting and Using Foreign Workers (IDC) (34) (1 day); analyzing applications to identify violations of the law by organizations (5 days); approval by the IDC members of the draft IDC protocol (2 days); drawing up and signing the IDC protocol (2 days); notifying employers of the results of the IDC application review by changing the status on the migrakvota.gov.ru portal (1 day); Preparation and submission to the Ministry of Labour (33) of proposals from the city of Moscow on the need to attract foreign labour based on the decision of the Interdepartmental Commission (3 days); consideration/approval of proposals from the Interdepartmental Commission by the Ministry of Labour (20-30 days); publication by the Ministry of Labour of an order approving a quota for attracting the feasibility of attracting foreign labour (ILF) (30 days); preparation and submission by the Department of Labour and Social Protection of the Population (DLSPP) (35) of a conclusion on the ILF (foreign labour) to the UVM MVD (Migration Department of the Ministry of Internal Affairs) (10 days); preparation by the UVM MVD of a permit for attracting taking into account the conclusion of the DLSPP (20 days).

[0170] The anomaly unit (20) monitors the procedure for obtaining quotas. For this purpose, the anomaly unit (20) monitors the deadline for a decision by a particular agency, as established by legislative norms, received from the monitoring unit (14), at each stage of quota registration. In the event of a discrepancy between the planned and actual time for processing the application, the anomaly unit (20) transmits a signal to the data control unit (24) for the management of the situation center to make a decision.

Claims (29)

1. A system for automated management of hiring foreign workers for a situation center, including a support subsystem (101), a functional subsystem (102), and an associated data management unit (24), wherein the supporting subsystem (101) contains the following interconnected: - a simulation modeling block (1) for assessing the effectiveness and risks of applying scenarios for the development of the situation when registering a foreign worker, - knowledge management unit (2) for collecting and storing documents related to the recruitment of foreign workers, - a control unit for software robots (3) for creating and checking documents related to hiring, - translator block (4) for real-time data translation, - a machine learning block (5) for analyzing the compliance of the candidate’s profile and resume with the posted vacancy, - a generative artificial intelligence block (6) for providing reference information from external and/or internal documents related to the hiring of foreign workers, - knowledge testing block (7) for creating, conducting testing of candidates, as well as storing and demonstrating the results, - a virtual assistant block (8) to inform the candidate about the stages of the hiring process, - a neural network block (9) for biometric identification of the candidate and analysis of his speech, - information security block (10) for protecting software, hardware and databases of the system, - a knowledge graph block (11) for constructing and visualizing the relationships between the data of the employee registration process, The functional subsystem (102) contains the following interconnected: - personal data block (12) for registration, storage of personal data of candidates, - a block of dictionaries of specialties (13) for the formation of lists of correspondence between national codes of specialties and foreign codes of specialties, - a monitoring unit (14) for identifying and forecasting changes in regulatory requirements concerning the hiring of foreign workers, based on information resources, - compliance block (15) to check the compliance of the organization’s actions with internal corporate rules, - calendar block (16) for planning events for employees and candidates, - payment block (17) for payment of fees related to the hiring of foreign workers, - a roadmap block (18) for creating a plan for each candidate to complete all stages of employment registration, - a medical control and quarantine measures unit (19) to monitor the health status of candidates and their compliance with medical requirements, - anomaly block (20) for monitoring the stages of the hiring process and checking deviations from the specified parameter boundaries, - registration block in the system (21) for registering documents, events and their changes, - a block of protocols (22) for recording and archiving materials from events held, and - a block for interaction of the system with mobile applications (23) for working in the system; wherein the data control unit (24) is connected to each of the said units of the support subsystem (101) and the functional subsystem (102) with the ability to exchange data. 2. The system according to claim 1, wherein each block of the support subsystem and the functional subsystem comprises a server (301), a database (302) and at least one input/output device (303). 3. The system according to claim 1, further comprising a multi-screen (25) of the situation center for displaying data, connected to the data control unit, at least one computer (26) of the situation center employee and at least a mobile device (27) of the situation center employee.