Construction of Virtual Simulation Platform for Tourism

This paper introduced the application of the WebGIS and virtual reality technology in the tourism industry and analyzed the existing problems in the tourism information system.Taking Daqing Oil Field Scenic Sport as an example,it introduced a method of constructing the virtual simulation platform for tourism based on the combination of WebGIS and virtual reality technology.Through the virtual simulation platform of Daqing Tourism Scenic Spot,it verified the design idea,methods,and technical feasibility of the virtual tourism system,and built a specific,feasible,and practical virtual simulation platform for tourism.It showed the bright prospects of virtual tourism development based on WebGIS and virtual reality technology.

A wireless intelligent thermal control and management system for piglet in large-scale pig farms

Indoor temperature is a critical environmental factor for piglets that affects the health,welfare,and production efficiency of domesticated pigs.However,there are limited reports about wireless intelligent thermal control and management system for piglets in largescale pig farms,and evaluation energy saving.This paper presents an Automatic Thermal Control and Management System(ATCMS)of micro-environment for piglets,that could provide a suitable production environment and reduce the energy consumption.ATCMS includes automatic temperature control system(ATCS),multipoint temperature management system(MTMS)and remote access.The infrared heating lamps are chosen in the ATCS for their good performance in heating rate and heating distribution.In order to meet a scientific temperature requirements of piglet growth,the suitable thermal ranges of each growth-stage(STREG)are employed as intelligent control strategies to generate an automatic and precise heating control.MTMS is responsible for communicating with ATCSs and transmitting information to database server for record based on wireless technology.Remote access offers information services for remote administrators by smart phones and clients via Internet.The experiments of ATCMS were carried out both in winter and summer at Binsheng Breeding Piggery Farm,Acheng City,Heilongjiang Province,China.Results showed that the temperature provided by ATCS had been kept in STREG of piglets during the whole winter period.When the indoor temperature during summer period were in or above STREG,heating lamps were turned off by ATCS for a long time.The energy consumption of ATCS were 63.60%in winter and 39.35%in summer with continuous heating system operation.Therefore,ATCMS could take the suitable thermal ranges of each growth-stage as an intelligent control principle to give an automatic and precise control to heating devices in order to meet a scientific temperature requirements of piglet growth.

A method of monitoring and locating eggs laid by breeding geese based on photoelectric sensing technology

On the current breeding goose farm,the detection of individual egg laying mainly depends on some judgement experiences of farm workers.At present,there have been some egg laying detection systems developed with images and weighing sensors,which only signal the eggs being laid,but no egg position being achieved.Meanwhile,the detection rate of the system is not high due to environment limitations like dim light of the goose barn.Therefore,to solve these problems mentioned above,an intelligent detection and positioning system is pro-posed by integrating technologies of the Radio Frequency(RF)and photoelectric sensors,together with the geometric calculation principle.In this research,individual egg laying information of breeding geese in a non-cage state was examined to improve the level of auto-matic detection and positioning in the field of breeder egg production.The results showed that an accurate detection and positioning of an egg in a nest filled with the artificial turf could be achieved under some conditions:the height of sensor is 3.5 cm from the bottom plate of the egg laying nest,the spacing of the photoresistor module is 5 cm,and the external light intensity is less than 110 LUX.It also shown that the error of the goose egg position recognition is 0.443 cm with a suitable level of straw in the nest.Therefore,the monitoring system and positioningmethod that was developed in this research could provide a reference for the analysis of individual egg laying behavior,and could result in an improvement in the automatic egg collection for the breeding geese production.