Today’s in the market of building materials there are a large number of roofing materials for pitched roofs. The materials for pitched roofs on the basis of its composition can be divided into mineral (cement concrete and clay roof tiles, asbestos cement sheets and tiles), metal (metal roof tile, profiled steel sheet, clicklock, composite roof shingles) and organic (asphalt shingle, onduline). All of these materials have their advantages and disadvantages, so the task of choosing the optimal option is complex and requires special methods to eliminate the subjectivity of evaluation. The article describes the approach to selecting the best option of roofing material from the available options by the set of its quantitative and qualitative characteristics. It is proposed to carry out the evaluation of options and selection of the best option based on the analytic hierarchy process. The article presents the results of the selection of the most appropriate roofing material for pitched roofs using the specified method.
Keywords: analytic hierarchy process, artificial intelligence, system analysis, decision-making, roofing materials
The article identifies tasks that can be solved by robots for agricultural purposes. Held the problem statement for robotics irrigation machines (DM) type "Frigate" due to the fuzzy control of technological processes of watering, allowing you to control the irrigation rate during the entire irrigation season regardless of the various uncertain factors that affect the quality of irrigation. Proposed to be used by DM crane-preselection analog operation, working by electricity, the fuzzy will be managed by improved control system, as well as to enter into the system management subsystem diagnostics, including sensors for measuring soil moisture and slope of DM in different parts of the field. The mathematical model of fuzzy control irrigation machine due to the software regulation of water flow depending on the topography of the field, the speed of movement of the machine across the field and soil moisture to reduce water consumption and improve the efficiency of DM. As the fuzzy logic algorithm the proposed algorithm of Mamdani, which is easily implemented in MATLAB based on the knowledge and experience of experts, and simulation. Formalization of the description of the performance of the machine carried out with the help of linguistic variables, given the type and description of elements of term-sets of these variables. The proposed mathematical model can be used when designing control systems for other robotic farm machinery.
Keywords: robotic irrigation system, fuzzy control, mathematical model, algorithm of fuzzy inference, linguistic variable, term set of a linguistic variable, basic variety
The article deals with the application of methods of artificial intelligence to control robots. The concept of a layered intelligent control system for mobile robots, in which proposed to build an intelligent control system of three levels, based on patterns of thinking and categorizing tasks according to the level information is presented. In the circuit of the proposed system circulating upwards and downwards flows, the management of the system at their level, and some of the information is summarized and passed to the higher level of environmental assessment, then, as a result of detail gradually from the strategy behavior to the commands of the executive bodies of the robot are driving down when selecting the solution for travel or other any actions of a mobile robot. The functional-structural diagram of the system and the design principles and hardware implementation of this system on the basis of the mobile robot multilevel computing system are given.
Keywords: artificial intelligence, new information technology, mobile robot, intelligent robot, intelligent control system, the concept of tiered computing system
In the article on the basis of the analysis the basic technical and organizational actions are defined that allowed to carry out statement of a task on improvement of system of management of technological process of portal car wash. A mathematical model of fuzzy car wash control is developed due to the program control of water supply depending on the shape, geometry and degree of pollution of the car, in order to reduce water consumption and improve the energy efficiency of the portal car wash. Mamdani algorithm is proposed as fuzzy inference algorithm, which is easily implemented in MATLAB software product on the basis of knowledge and experience of experts, as well as modeling of the operator. Formalization of the description of water supply level, shape, size and degree of pollution of the car is carried out by means of linguistic variables, their type and description of elements of thermal sets of these variables is given. The proposed mathematical model can be used in the design of control systems and other types of automatic car washes.
Keywords: car wash, mathematical model, fuzzy control, fuzzy inference algorithm, linguistic variable, term-set of linguistic variable, basic set