| In traditional beekeeping industry,the beekeepers need to get the lid of beehive off to check the amount of honey to determine the time of gathering honey from hive,and check the health of beehive,ventilate and clean the beehive aperiodically.When the number of hives is large,these procedures mentioned above are not only tedious but also less efficient.In general,family as a unit engages in beekeeping in china,so the number of beekeeping will be greatly limited,the scale of beekeeping is difficult to expand.The intelligent beehive management system proposed in this paper can solve the problem of low efficiency and expand the scale of beekeeping,so it is very important to realize the systematic management of the beehive in the beekeeping industry.In this paper,a remote management system of beehive based on WIFI and data fusion technology is proposed.The system can collect the temperature,humidity and the weight of honey in the beehive in real time,and transmit the data through the WIFI wireless network.The system can remotely monitor the weight of honey,the temperature and humidity of the beehive,as well as cleaning the bee’s residue.The system will warn the user when the weight of honey monitored by the system in an abnormal condition.This system uses the new type of beehive which is designed based on traditional Chinese beehive,the new type of beehive are equipped with temperature sensors,humidity sensors,weighing transducers,and some other related components.Through the temperature and humidity sensors to monitor the temperature and humidity within the hive,when the monitoring of the temperature or humidity value exceeds the preset value,the user can open the door to ventilate beehive by controlling the remote management system.Similarly,the weighing transducer real-time monitoring the weight of honey,when it reaches the default value,the remote management system will warn users to gather honey in time.The system can also control the lower computer through the remote management system to open the solenoid valve to clean the residue in the beehive.Because the temperature and humidity within the beehive have a great influence on the reproduction of the bees,and the weight of the honey is directly related to the income of the beekeepers,it is important to monitor the parameters of the beehive precisely.In order to improve the monitoring capability of the system,a first-level fusion model based on the adaptive weighted fusion algorithm is established for the data fusion of the weighing transducer.A second-level fusion model based on the adaptive weighted fusion algorithm and the BP neural network is established for the data fusion of the temperature and humidity sensor.The experimental results show that the establishment of these two models improves the accuracy of beehive data monitoring and the accuracy of beehive data judgment.In order to meet the functional requirements of the system,the overall structure of the system is designed,and the hardware circuit of each module is designed according to the overall structure of the beehive management system,and the overall hardware design of the management system is completed.The software part of the hive management system is mainly write the code that drive the hardware,and a human-computer interaction interface monitor the actual situation of each beehive also be designed,the management center software realized the function of historical data query. |