## 1 Introduction  
Identification of the requested well-being of dairy herd as well as recognition of heat requires application of modern measuring methods [1]. In addition to the above, it is worth mentioning that this process is subject to research and constant cognition, which is presented widely in the literature that is available [1; 2; 3]. The physiological condition of a given animal depends on numerous external factors and can change as an animal grows old. There are numerous examples and evidence showing that there are substantial gaps in the environmental conditions of dairy herd in the systems of animal breeding that are currently offered and created by humans [4; 5; 6; 7]. The given systems are diversified in comparison with the automated milking houses where cattle are kept in the building all year round in contrast with extensive areas of complexes where animals are outside animal houses all year round [8; 9]. Proper diagnosis of the onset of heat, essential in the process of breeding dairy herds, allows to determine the right time of insemination--it is a key factor deciding about the results of reproduction. The systems try to improve the degree of cattle reproduction, which is often related to unnoticed or improper recognition of heat [10; 11; 12]. Currently, there are numerous methods, which allow detection of heat condition, based on behaviorism or bio-technical methods. They are characterized by various probabilities of heat detection and they vary according to price. Among the bio-technical methods, on account of intense development of information technologies, one can observe an increased interest in the solution based on using pedometers (each animal in the herd is equipped with one such device). We can also observe attempts to use information from pedometers, to a greater extent, not only in a signaling context. At present, the systems that are offered and that are based on bio-technical methods and pedometers, which are available on the market, among other things, are the systems called GYUHO and AfiAct II [13]. The first of them, offered by Japanese company Fujitsu, published in 2013, uses--apart from the aforementioned devices--a cloud compute engine. The application, which is part of the system, processes data from pedometers and then generates reports on the basis of these data that are sent via email to users. A slightly different information infrastructure is used by the other system AfiAct II, which is based on more modern pedometers known under the name AfiTag. The application called Windows Forms, which sends messages both in the form of email and sms, is responsible for processing data in this solution. According to the producer, cases in which heat is not properly detected constitute less than 10% of all the cases of heat detection. At present, motion detectors in the form of earrings, used to identify animal condition, are also available [14]. However, it should be highlighted that these are dedicated constructions, so they are not of a universal nature, in contrast with beacons. Another important aspect is the relation between atmospheric conditions, environmental conditions, and animal behavior [15; 16; 17]. Research to date as well as observations show relations between motor activity of animals and temperature of the environment. According to different authors, deterioration of animal well-being, as a result of too high temperature, occurs when temperature of the environment exceeds the following:  
* 27 \({}^{\circ}\)C--[PERSON] [15],
* 25-26 \({}^{\circ}\)C--[PERSON] [17],
* 24-27 \({}^{\circ}\)C--[PERSON] [16]. However, the literature suggests that one should take into consideration not only temperature but also relative humidity in the air when defining the criterion of heat stress occurrence [18]. In order to do that, the so called THI (temperature humidity index) parameter was constructed [18].