A variety of magnetic fishing tools poses the task of the optimal choice of tool for eliminating accidents during the construction, operation and repair of wells. Existing criteria for assessing the quality of fishing magnets are characterized by the complexity of the determination and the ambiguity of the results. Therefore, the aim of research is development of a new approach to determining the technical level of fishing tools of various types and designs. A complex criterion has been developed that allows to evaluate the technical level of magnetic systems by correlating the actual and theoretical values of the total and specific lifting forces. Also it has been carried out a qualimetric analysis of magnetic tools, which are currently offered by world manufacturers. As a result, mathematical models are found that describe the average and modern world level of devices with specific lifting force. Technical decisions are proposed, the implementation of which in the design of magnetic systems of fishing tools will allow to achieve high values of lifting force. Application of the proposed complex criterion along with the results of qualimetric analysis will make it possible to objectively assess the technical level of magnetic fishing tools both at the design stage and during serial production.
The article presents sources of production knowledge and thoroughly describes its identification which on the construction of decision trees, and on the construction of knowledge bases for production processes. The problems that arise during the technical preparation of production are briefly characterized and the advanced algorithm with which decision trees can be built is described in detail. A decision tree was built based on real data from the manufacturing company. Decision trees are presented as a method of knowledge representation.
The possibilities of using cognitive technologies in the organization of systematic industrial enterprise management are described in the article. Strategic links are defined in the development of a system of stochastic models of enterprise management based on artificial intelligence. The possibility of introduction of the Perceptron model in the industrial enterprise management with the purpose of identification of “bottlenecks” in the functionality of business activity and improvement of procedures of decision-making in the framework of creation of the program of development and technical re-equipment of the enterprise is proven. The authors offered an organizational and economic mechanism of operation of an industrial enterprise, which includes new means of implementation of managerial actions through the use of a matrix of assessment of the level of implementation of cognitive technologies. The method of determining priority directions for the implementation of cognitive technologies at an enterprise was developed based on the results of the assessment of the depth of penetration of cognitive technologies and the result obtained from their implementation, which additionally takes into account the resource ratio of the implemented technologies defined as the ratio of estimates of the actual level of competencies to what is needed to work with new cognitive technologies, which allows to obtain the planned economic and organizational effect.
The chaff quality or, more specifically, the distribution of stalk length after straw shredding during wheat harvest with a combined harvester is of significant interest for ploughless tillage practices. The currently applied characterization methods (manual length measurement or the cascade sieve analysis) are time-consuming and labour-intensive. Image analysis-based size characterization has the potential to solve these problems. In this study, two techniques of digital image processing, the well-known method of image moments (rectangular model) and a sub-pixel skeletonization approach (flow lines-tracing), were applied comparatively for stalk length measurement. Upon applying the rectangular model, the analyzed stalks were found to be longer than when the flow lines-tracing algorithm was applied. This was attributed to the unbiased decision criteria of the measuring method. A greater length of the stalk is to be expected in the main stalk than when the length of a twisted or branched stalk is measured from the edge length of a rectangular box that encloses it.
Internal logistics is a key element of a production process as it specifies product quality, timeliness and value of orders. The purpose of the research was to determine the amount of non-compliance in the selected production process caused by internal logistics operations. The analysis covers both the quantity and type of non-compliance as well as the cost of non-compliance. One of the basic quality management tools was used in the research - Parteo-Lorenz analysis. An attempt was made to identify potential causes of non-compliance. The significant impact of non-compliance arising in internal logistics operations in production costs was pointed out.
The purpose of the article is to enhance the oil recovery coefficient of lower Menilite deposits of the Strutynsky oil field by using an ASP solution (a mixture of three agents: alkaline, surfactant and polymer (ASP)). The tasks were solved by choosing an effective method of enhancing oil recovery by using EORgui software and hydrodynamic modelling software by using Petrel, Eclipse software. Calculations of computer simulations indicate the possibility and technological efficiency of residual oil extraction through the use of ASP solution. After using the method of oil recovery enhancing in the lower Menilite deposits of the Strutynsky oil field by means of ASP solution, the coefficient of final oil recovery will increase from the initial value of 10.4% to the predicted 17.6%. For the first time, geological and hydrodynamic models have been created for the conditions of the Lower Menilite deposits of the Strutynsky oil field, and the most appropriate method for oil recovery enhancing by using the EORgui program has been selected. The suggested method for oil recovery enhancing can be applied within the framework of the concept for reviving the Lower Menilithic deposits of the Strutynsky oil field, as well as in other oil fields of Ukraine, which are developed with waterflood patterns and have similar geological and physical characteristics.
The paper presents the results of research on the mass and the energy potential of malting barley straw of the “Klas” variety. The research was designated on a 100 ha plantation located in Pojezierze Iławsko-Sztumskie region. Using the Yara N-Sensor processor, precise application of mineral fertilizers according to determined fertilization demand allowed increasing the grain yield by 26% and the straw biomass yield by 74% compared to the control sample. The resulting increase in bio-mass obtained in the form of straw impacts its possible partial use for energy purposes without negative effects on the environment. The tested energy value of malting barley straw as a function of moisture content allowed a conclusion that between 10 and 25% of water content the energy value drops from 13.1 to 7.4 GJ∙t−1. For an average water content of 15%, this yields an energy potential unit of 23.76 GJ∙ha−1. Following observations of the combustion process, it was concluded that barley straw cannot be used as a source of biomass for the large-scale power production since its ash melts at below 800ºC.
Bisphenol A (BPA) is an industrial chemical used as an additive in conventional point-of-sale thermal paper receipts, in the production of many polycarbonate plastics, and epoxy resins lignin for food. BPA is xenoestrogen, a foreign compound that is not naturally produced in living organisms, but which acts similarly to natural 17-ß estradiol (natural estrogen). Due to its weak estrogenic activities, BPA exposure may influence multiple endocrine-related pathway, and is associated with prostate and breast cancer, neurobehavioral deficits, heart disease, and obesity. Furthermore, BPA may act as a DNA methylation agent and cause altered gene expression in the brain. Human exposure to bisphenol A is a matter of controversy. This review shows a potential risks in workplace resulting from contact with bisphenol A. The work presents the contribution of BPA exposure levels via dermal contact and the relationship between BPA exposure level and oxidative DNA damage.
It is justified that the problems related to changes in physico-chemical properties, concentration of trace elements in lubricat-ing oil and the impact of these changes and their dynamics on vehicle structural elements should be considered in detail. It is important that empirical data, theoretical relationships and test results should be taken into account. The paper presents re-search results of the selected physico-chemical parameters and the content of metals in samples of the used engine oil. The samples were collected both after the fuel system failure and during the operation of the farm tractor according to the date of changing engine oil assumed by the producer. An instrumental chemical analysis method HDXRF was used to determine chang-es of the content of trace elements Fe, Sn, Cu, Pb, P, Zn, Ca in engine oil. Additionally, changes in physico-chemical properties were determined with the use of FT-IR spectrometry. Courses of these changes were analysed on account of their impact on the utility properties of the engine oil.
The study assesses the impact of the economic size of farms on the efficiency of their material and energy expenditure, based on 679 farms from the Lubelskie Voivodeship. The analysis was made for the years 2013-2015 and the farms were divided into six economic size classes. 5 indexes for the efficiency of material, energy and material-energy expenditures were calculated for all farms. The aim of the work was to select a group of farms with the highest efficiency of energy and material expenditure. It was found that economically small farms managed this expenditure most effectively, as evidenced by the highest values of 4 out of 5 analyzed indexes. Very small and medium-small farms demonstrated the highest efficiency of material expenditure. In contrast, energy expenditure was most efficiently used by medium-small farms. The farms that were the largest economically were characterized by the highest efficiency index of material and energy expenditure, calculated as the ratio of total production to the expenditure.