Acquisition of theoretical and practical knowledge in the field of the new generation of metrology systems - digital measuring systems required for the concept of digital quality and planning of inspection in the context of Industry 4.0. Students should acquire and master new knowledge and skills on: metrological interoperability, unification and security of the protocol in the context of Internet of Things and Cyber-security; engineering ontology, methods of its development and implementation for the domain of measurements in production; ontological knowledge bases and its development for the integration of geometry and machine machine tolerance; methods of intelligent planning of inspections based on artificial intelligence (GA, AC) techniques, visualization, simulation and verification of measurements on virtual measuring machines; methods of optimal configuration of measuring sensors and analysis of layout of parts based on genetic algorithms; optimization of the measuring path based on the theory of the swarms - the colony of ants; defining a measurement protocol for a given (real) measuring machine, as outputs, regardless of the type of machine and its location through the sharing of information based on the cloud concept.

Upon successful completion of this course, students should be trained to: recognize, improve existing and develop new protocols in communication between virtual and real measuring machines; automatically generate the measurement protocol and thus reduce the time of the measurement preparation; develop a new engineering ontology for the purpose of classifying reuse and sharing knowledge of a particular domain using an optimal set of information based on Big data and Analytics; develop an ontological knowledge base for the integration of geometry and machine machine tolerance; application of intelligent intelligence planning techniques based on artificial intelligence (GA and AC) techniques and simulate the measurement process in a virtual environment; optimally position the measuring part on the measuring machine, taking into account the geometric and metrological complexity of the work; Configure the optimal number of measuring sensors for each setting of the measuring part; generate an optimum measurement path and thus reduce the main measurement time;

Theoretical instruction is conducted in ten units: 1) Digital measuring systems. Definition, structure and characteristics. Measuring machine as a universal measurement system for measurement in production metrology. Introduction to GD & T; 2) Metrological interoperability. Engineering ontology for inspection planning domain in coordinate metrology. Methodologies for the development of engineering ontology and the proposed model; 3) Ontological knowledge base for the integration of geometry and tolerance. Model of ontological knowledge base; 4) Mathematical model of planning the inspection of prismatic parts on a measuring machine. Modeling the primitive and their parameters. Generation of measuring points; 5) Generating knots for avoiding collision and initial measuring path; 6) An analysis model for measuring and measuring sensors in the case of the use of sensors in the form of a star and a measuring head; 7) GA - model of optimal configuration of mono sensors and placement of measuring units for specified tolerances. Defining the initial population, the functions of fitness and other model elements; 8) Data model and collision zones for the application of ACO measurement path; 9) ACO - model. The problem of a commercial passenger; 10) Verification of the digital model of planning inspection on measuring machines in the digital environment.

Practical classes are conducted through five laboratory and five auditory exercises. Laboratory exercises: 1) Measurement of micro-geometry and regression analysis of measurement results; 2) Implementation of classes, individuals and features of engineering ontology in Protege software; 2) Digital model of work and measuring machines in MatLab environment; 3) Simulation of measurement in MatLab environment; 4) Configuring a virtual measuring machine in PTC Creo software; 5) Simulation of the measurement path on a virtual measuring machine and generating a PC-DMIS file in the CMC module of the PTC Creo software. Practical exercises: 1) Preparation for the first laboratory exercise: parameters of measurement of micro-geometry; 2) Modified Hemersley's principle of distribution of measuring points for basic metrological primitives; 3) The principle of avoiding collision and generating an initial measurement path; 4) Analysis of placement of measuring units and configuration of measuring sensors; 5) Generation of an optimal measuring path using anion colony.

Defined by curriculum of study programme.

1. Handouts for each lecture. 2.The instruction for making tasks and seminar work. 3. The monograph in the field of quality and production metrology. 4.The web site of the course with addresses of leading organizations and important institutions in this area (under preparation). 5. Facility and technical equipment: Laboratory for production metrology and TQM.

Total assigned hours: 90

New material: 25
Elaboration and examples (recapitulation): 5

Auditory exercises: 17
Laboratory exercises: 15
Calculation tasks: 8
Seminar paper: 5
Project: 0
Consultations: 0
Discussion/workshop: 0
Research study work: 0

Review and grading of calculation tasks: 1
Review and grading of lab reports: 0
Review and grading of seminar papers: 1
Review and grading of the project: 0
Test: 4
Test: 4
Final exam: 5

Activity during lectures: 10
Test/test: 30
Laboratory practice: 5
Calculation tasks: 15
Seminar paper: 10
Project: 0
Final exam: 30
Requirement for taking the exam (required number of points): 30

S. М. Stojadinovic, V. D. Majstorovic (2019), An Intelligent Inspection Planning System for Prismatic Parts on CMMs, Springer International Publishing, 978-3-030-12806-7.; A. J. Sladek (2016), Coordinate Metrology - Accuracy of Systems and Measurements, Springer Verlag Berlin Heidelberg, 978-3-662-48463-0; G. T. Smith (2013), Industrial metrology: surfaces and roundness. Springer Science & Business Media, 978-1-85233-507-6; V. Majstorovic, J. Hodolic (1998), Coordinate Measuring Machines, FTS Novi Sad, 86-499-0091-7 /in Serbian/; M. N. Durakbasa (2003), Geometrical Product Specifications and Verification for the Analytical Description of Technical and Non-technical structures, 3-901888-26-8