## 3 Results and Discussion
### Daily Activity  
The research aimed at verification and validation of the proposed solution, were realized on the dairy farm, equipped with a multi-stall cowshed. The reason for choosing this form of cattle breeding was, among the things, the coverage of signal sent by beacons, received by the base stations. The animals that were chosen randomly (young cows, after a maximum of two calvings), were equipped with special collars with beacons attached to them, which is well illustrated. The infrastructure of the cowshed was extended by placing smartphones there, whose location was to ensure signal registration coming from each beacon, in the situation when a given animal stays in any part of the den or feeding area. Additionally, an attempt was made to maximize the area, in which signals were simultaneously registered by the three base stations, which was to serve as the way of internal identification of a given animal. The elaborated research was realized in two cycles in 2015 and in 2016. The result of the research was 120 GB of data on a hard disc.  
Data processing and their further analysis were realized with the specially designed data warehouses. The essential measurement registered by the system both from the testing point of view and from the perspective of identifying behavior and physiological condition of cows, was a beacon's motor activity, which reflected motor activity of a given animal. Beacon provided information about acceleration quantity and derivational information, which represented specifically reacted period of motor activity or lack of any activity including the period of ten seconds. Taking into account the fact that twenty-four-hour activity of cows is moderately well described in the literature, it made a solid foundation in the process of verifying and validating the proposed method. The average values of period of motor activity of cows that were achieved, were determined for an hour long time frame. Those values were then used to make a twenty-four hour characteristics of motor activity of animals, which is presented (see Figure 9). The figure was additionally expanded by designation of time frames, in which the animals were milked or fed.  
The twenty-four-hour characteristics of motor activity of cows that were achieved indicated the increased motor activity during the period of milking and feeding. They corresponded with the characteristics that were achieved on the basis of data coming from the system using pedometers, see Figure 10 [13; 26; 27].  
Figure 8: The time spent by the selected animal at the red location.  
The changes in motor activity were also the basis for identifying physiological condition, namely heat. As a result of the research that were done and the analyses that were made with the proposed system, it turned out that the twenty-four-hour motor activity of a given cow in heat was 2.5 times higher than the previous values and three times higher than the rest of the animals that were subject to measurement (see Figure 11).  
The similarity of the twenty-four hour characteristics of motor activity of cows together with the possibility of recognizing heat in cows, clearly indicated that beacons in combination with the proper information system could be an alternative to the solutions based on pedometers. However, one should take note of one shortcoming of the presented solution, which was possible to eliminate, namely limiting failure of beacons.  
Figure 11: Change in motor activity of cow on heat.  
Figure 10: The twenty-four- hour activity of cows generated on the basis of data that were achieved from the Japanese system GYUHO.  
Figure 9: Averaging for all measured animals and twenty-four-hour units of motor activity of a given cow.