CN210181653U - Artificial Intelligence (AI) bee keeping system based on cloud computing - Google Patents
Artificial Intelligence (AI) bee keeping system based on cloud computing Download PDFInfo
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- CN210181653U CN210181653U CN201920866603.8U CN201920866603U CN210181653U CN 210181653 U CN210181653 U CN 210181653U CN 201920866603 U CN201920866603 U CN 201920866603U CN 210181653 U CN210181653 U CN 210181653U
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Abstract
The utility model discloses an Artificial Intelligence (AI) bee-keeping system based on cloud computing, which comprises a data acquisition terminal installed in each beehive and used for acquiring the temperature, humidity, gas, audio, video, bee attendance, weight and position in the beehive; the information acquisition terminal is arranged in the bee field and is used for acquiring meteorological data and honey source data in the bee field; the data transmission device is connected with the data acquisition terminal and the information acquisition terminal and is used for uploading acquired data; and the cloud server is connected with the data transmission device and used for receiving and storing the collected data, analyzing the bees, the beehives and the bee field according to the collected data and the historical data, and sending the analysis result to the handheld terminal of the beekeeper. The utility model discloses a dynamic change of real-time supervision beehive and honeybee knows the condition of honeybee, and the information of adjustment beehive improves the breed and the honey collection ability of honeybee to improve honey output.
Description
Technical Field
The utility model relates to an intelligence bee-keeping field, concretely relates to Artificial Intelligence (AI) bee-keeping its system based on cloud calculates.
Background
Honey is honey produced by bees from flowers of flowering plants in a honeycomb. The bee uses nectar or secretion with water content about 75% from flower of plant, and stores it in the second stomach, under the action of several conversions in body, after 15 days, the polysaccharide in nectar is converted into monosaccharide glucose and fructose which can be directly absorbed by human body, and the water content is less than 23%, and then the nectar or secretion is stored in the nest hole, and sealed by beeswax. At present, bees are bred artificially, and bee breeders also improve the yield of honey according to experience accumulated for many years, so that the bee breeding mode is limited by weather factors and artificial subjective factors, and the breeding capacity and the honey collecting capacity of the bees are limited to a certain extent.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide a can gather beehive information and bee field information and reproduce and Artificial Intelligence (AI) bee-keeping system based on cloud computing of honey collection ability according to relevant information analysis honey volume.
The utility model aims at realizing through the following technical scheme:
the utility model relates to an Artificial Intelligence (AI) bee-keeping system based on cloud calculates includes:
the data acquisition terminal is arranged in each beehive and is used for acquiring the temperature, the humidity, the gas, the audio, the video, the bee attendance, the weight and the position in the beehive;
the information acquisition terminal is arranged in the bee field and is used for acquiring meteorological data and honey source data in the bee field;
the data transmission device is connected with the data acquisition terminal and the information acquisition terminal and is used for uploading acquired data;
and the cloud server is connected with the data transmission device and used for receiving and storing the collected data, analyzing the bees, the beehives and the bee field according to the collected data and the historical data, and sending the analysis result to the handheld terminal of the beekeeper.
Further, the data acquisition terminal includes microprocessor and the temperature sensor, humidity transducer, gas sensor, sound sensor, camera, laser sensor, infrared sensor, weight sensor, GPS module, big dipper module and the communication module who is connected with microprocessor, and communication module is connected with data transmission device.
Further, the information acquisition terminal comprises a single chip microcomputer, and a light sensor, a wind sensor, a rainfall sensor, a water quality sensor, a PM2.5 sensor, a video camera and a communication module which are connected with the single chip microcomputer, wherein the communication module is connected with the data transmission device.
Furthermore, the information acquisition terminal can be realized through a software module with information acquisition capability, namely position information acquired through a Beidou module in the beehive, and meteorological data and vegetation distribution data of the position are acquired through the position information.
Furthermore, the handheld terminal is used for receiving an analysis result sent by the cloud server and adjusting the beehive environment and the bee entrance time according to the analysis result.
The utility model discloses a dynamic change of real-time supervision beehive and honeybee in the beehive shows with the datamation form, and the information of real-time analysis beehive and bee field, knows the condition of honeybee in time, adjusts the information of beehive according to the condition, improves the breed of honeybee and honey collection ability to improve the output of honey; the method provides scene supply and demand information service for the beekeepers and the beehives in the modes of short messages, voice, audio and video multimedia, APP and the like by the data of the beehives and the beehive and combining with AI algorithm.
Drawings
Fig. 1 is a schematic structural diagram of the present invention.
Detailed Description
Example 1
The cloud computing-based Artificial Intelligence (AI) bee keeping method provided by the embodiment comprises the following steps:
(1) the method comprises the steps that the temperature, the humidity, the gas, the audio, the bee attendance, the weight and the position in each beehive are collected through a data collection terminal arranged in each beehive, meteorological data and honey source data are collected through an information collection terminal arranged in a bee field, and the collected temperature, humidity, gas, audio, video, bee attendance, weight, position, meteorological data and honey source data are uploaded to a cloud server;
(2) the cloud server receives and stores the uploaded temperature, humidity, gas, audio, video, bee attendance, weight, position, meteorological data and bee source data, analyzes the bees, the beehive and the bee field according to the received data and historical data, and sends an analysis result to the bee keeper, wherein the bee analysis means monitoring and analyzing the abnormal bee colony, the abnormal queen bee, the bee breeding, the bee collection and the variety.
The specific analysis and judgment steps are as follows:
abnormal monitoring of bee colony: through GPS module, big dipper module location beehive position to judge according to the meteorological data that combines equivalent position and the rate of attendance of honeybee whether unusual for the bee colony, meteorological data can be based on the information acquisition terminal collection of installing in the bee field, also can be according to the meteorological data that the position place is just published, the rate of attendance of honeybee can judge through infrared sensor and the weighing transducer data collection in the data acquisition terminal whether the rate of attendance is good, shows under the good condition of weather at meteorological data, the rate of attendance of honeybee is not high, then judges that the bee colony appears unusually, and sends for bee-keeping person unusually, lets it in time look over, reduces the loss.
Monitoring queen bee abnormity: the pheromone that sends of queen bee is gathered to gas sensor through data acquisition terminal is gaseous, judges the queen bee state through the gaseous content of pheromone, when the gaseous content of pheromone is less than the threshold value, then deems the queen bee unusual to give bee-keeping person with the unusual information of queen bee, let it in time look over, reduce the loss.
Monitoring property safety of a bee field: through the laser sensor detectable beehive vibration state in the data acquisition terminal of installing in the beehive, a certain beehive duration N that if gather keeps the state of high vibrations always, then this beehive of affirmation is removed, the big dipper module in combining the beehive fixes a position the beehive position immediately, and in time send alarm information and positional information for the bee keeper, can in time retrieve the property, if the bee keeper oneself is removed, can set the mode at data acquisition terminal into the transfer through handheld terminal application when removing, the mode of transportation, avoid real-time warning.
Honey source distributed data service: according to the big dipper module discernment beehive place position in the installation beehive to obtain local vegetation distribution according to the position, can analyze out whether sufficient in honey source.
Bee health data service: analyzing whether the bees are in a honey collection or breeding state according to the temperature, humidity and weight collected by the temperature sensor, humidity sensor and weight sensor in the beehive, and analyzing the bee species of the bees according to the collected gas and audio.
Bee pollination data service: according to the weight sensor in the beehive, the seed weight data are collected in real time, and the weight data in the history stored in the cloud end are obtained, so that the bee pollination condition in a certain time period, namely the bee honey collection condition, can be calculated through the weight difference between the seed weight data and the weight data.
The data service of the bee product: and analyzing the bee species of the bees according to the gas and audio collected by the gas sensor and the sound sensor in the beehive.
Supply and demand information broadcast service: according to data in the beehive and data in a bee field, an AI intelligent algorithm is combined, and industrial supply and demand information push and service are provided in the modes of short messages, voice, audio-video interaction, app application and the like.
Example 2
The Artificial Intelligence (AI) beekeeping system based on cloud computing provided by the embodiment comprises a data acquisition terminal, an information acquisition terminal, a data transmission terminal, a cloud server and a handheld terminal.
The data acquisition terminal is arranged in each beehive and is used for acquiring the temperature, the humidity, the gas, the audio, the video, the bee attendance, the weight and the position in the beehive; the device comprises a microprocessor, and a temperature sensor, a humidity sensor, a gas sensor, a sound sensor, a camera, a laser sensor, an infrared sensor, a weight sensor, a GPS module, a Beidou module and a communication module which are connected with the microprocessor, wherein the communication module is connected with a data transmission device; the microprocessor is realized by a processor with data calculation and instruction operation functions, such as stm32, mps430 and the like, the temperature sensor is used for collecting temperature data in the beehive, and a digital temperature sensor or a thermistor sensor in the prior art can be adopted; humidity transducer is used for gathering the humidity data in the beehive, can adopt prior art's digital humidity transducer, specifically, temperature sensor and humidity transducer adopt prior art to realize the temperature and humidity sensor that temperature and humidity combined together, temperature and humidity sensor can adopt current SHT20 sensor to realize. The gas sensor is used for collecting pheromone gas emitted by queen bees, mainly collects the concentration of the pheromone gas, and can be realized by adopting the existing SGP30 gas sensor. The sound sensor is used for collecting audio signals in the beehive, the existing common capacitance type column polar body microphone is adopted to achieve the purpose, the camera can still shoot pictures under the condition of low light intensity, such as an infrared night vision camera and the like, the laser sensor is used for detecting whether the beehive is in a vibration state or not, and abnormal detection can be carried out on the beehive which is in the vibration state for a long time but is not carried by a beekeeper. The infrared sensors are used for detecting the number of the bees in the beehive, and then judging the attendance of the bees. The weight sensor is used for collecting the weight of the beehive, and the honey collection condition of the bees is judged according to the difference between the two weights. The Beidou module is used for collecting the position of the beehive, finding the beehive in time according to the position of the beehive, and conducting exception handling on the abnormal conditions in the beehive. The communication module is used for sending the data acquired by the sensors to the data transmission device, the sensors acquire the sensor implementation which can realize the function in the prior art, the embodiment does not change the sensors, only the function of acquiring the data is utilized, various sensors produced by different models and different manufacturers exist in the existing market, the embodiment does not exemplify the sensors one by one, and the content should be known in the field. The communication module can be realized in a wired or wireless mode, the wired mode can be realized through a serial port, and the wireless mode can adopt the existing wireless technology, such as NB-iot/2/3/4/5G and the like, or Bluetooth near field communication, zigbee networking, lora technology and the like.
The information acquisition terminal is installed in the bee field and used for acquiring meteorological data and honey source data in the bee field; the acquisition of meteorological data and honey source data can be realized by hardware, and the acquisition can also be realized by a software functional module. Hardware implementation: the information acquisition terminal comprises a single chip microcomputer, and a light sensor, a wind sensor, a rainfall sensor, a water quality sensor, a PM2.5 sensor, a video camera and a communication module which are connected with the single chip microcomputer, wherein the communication module is connected with the data transmission device. The single chip microcomputer is realized by a processor with data calculation and instruction operation functions, such as stm32, mps430 and the like. The illumination sensor, the wind sensor, the rainfall sensor, the water quality sensor and the PM2.5 sensor are used for collecting data such as illumination, wind power, rainfall, water quality and PM2.5 in the beehive, the sensors collect the sensor implementation which can realize the function in the prior art, the embodiment does not change the sensors and only utilizes the function of collecting data, various sensors produced by different models and different manufacturers exist in the existing market, the embodiment does not exemplify the sensors one by one, and the content which should be known in the field is achieved. The video cameras are used for collecting image information in a bee field, honey source data of the bee field can be analyzed according to the image information, it should be known that more than one video camera is arranged in the bee field, and the image information obtained by the plurality of video cameras should cover the whole bee field as much as possible. The communication module can be realized in a wired or wireless mode, the wired mode can be realized through a serial port, and the wireless mode can adopt the existing wireless technology, such as NB-iot/2/3/4/5G and the like, or Bluetooth near field communication, zigbee networking, lora technology and the like. The software is implemented as follows: the position of beehive, the position of bee field promptly is acquireed through GPS module, the big dipper module of installing in the beehive, can follow the meteorological data that the database of local meteorological office acquireed this beehive according to the position in bee field, and the image information of bee field position can be acquireed through the database of satellite connection, and then the honeys source data of assay.
The data transmission device is used for uploading the acquired data; the system comprises a module A for realizing communication with a communication module, a module B for realizing communication with the communication module and a module C for realizing communication with a cloud server, wherein the communication mode can be specifically selected according to the position of a bee field, if the communication is better, a wired network or wifi and the like can be selected for wireless placement, if networking technologies such as Bluetooth, zigbee or lora and the like can be selected to converge data acquired by the data acquisition terminal and the information acquisition terminal in places with poor communication, uploading to a cloud server through NB-iot/2/3/4/5G and the like, the data transmission device can also comprise a storage module for storing the collected data so as to store the data when the data can not be transmitted, or store a certain amount of data or upload at a predetermined time, the network pressure can be reduced, and the system can be used in mountainous areas or places where the network is not good.
The cloud server is used for receiving and storing uploaded temperature, humidity, gas, audio, video, bee attendance, weight, position, meteorological data and bee source data, analyzing bees, beehives and a bee field according to the received data and historical data, and sending an analysis result to a beekeeper, wherein the bee analysis means monitoring and analyzing swarm abnormity, queen abnormity, bee breeding, honey collection and varieties.
The specific analysis and judgment steps are as follows:
abnormal monitoring of bee colony: through GPS module, big dipper module location beehive position to judge according to the meteorological data that combines equivalent position and the rate of attendance of honeybee whether unusual for the bee colony, meteorological data can be based on the information acquisition terminal collection of installing in the bee field, also can be according to the meteorological data that the position place is just published, the rate of attendance of honeybee can judge through infrared sensor and the weighing transducer data collection in the data acquisition terminal whether the rate of attendance is good, shows under the good condition of weather at meteorological data, the rate of attendance of honeybee is not high, then judges that the bee colony appears unusually, and sends for bee-keeping person unusually, lets it in time look over, reduces the loss.
Monitoring queen bee abnormity: the pheromone that sends of queen bee is gathered to gas sensor through data acquisition terminal is gaseous, judges the queen bee state through the gaseous content of pheromone, when the gaseous content of pheromone is less than the threshold value, then deems the queen bee unusual to give bee-keeping person with the unusual information of queen bee, let it in time look over, reduce the loss.
Monitoring property safety of a bee field: through the laser sensor detectable beehive vibration state in the data acquisition terminal of installing in the beehive, if certain beehive duration N who gathers keeps the state of high vibrations always, then this beehive of affirmation is removed, the instant beehive position of fixing a position of big dipper module in combining the beehive, and in time send alarm information and positional information for the bee keeper, can in time retrieve the property, if the bee keeper oneself is removed, can be when removing the power disconnection at data acquisition terminal, avoid real-time alarm.
Honey source distributed data service: according to the big dipper module discernment beehive place position in the installation beehive to obtain local vegetation distribution according to the position, can analyze out whether sufficient in honey source.
Bee health data service: analyzing whether the bees are in a honey collection or breeding state according to the temperature, humidity and weight collected by the temperature sensor, humidity sensor and weight sensor in the beehive, and analyzing the bee species of the bees according to the collected gas and audio.
Bee pollination data service: according to the weight sensor in the beehive, the seed weight data are collected in real time, and the weight data in the history stored in the cloud end are obtained, so that the bee pollination condition in a certain time period, namely the bee honey collection condition, can be calculated through the weight difference between the seed weight data and the weight data.
The data service of the bee product: and analyzing the bee species of the bees according to the gas and audio collected by the gas sensor and the sound sensor in the beehive.
Supply and demand information broadcast service: according to data in the beehive and data in a bee field, an AI intelligent algorithm is combined, and industrial supply and demand information push and service are provided in the modes of short messages, voice, audio-video interaction, app application and the like.
The handheld terminal is used for receiving an analysis result sent by the cloud server, the analysis result not only comprises abnormal alarm information, but also can be current beehive environment data or beehive data and the like, a beekeeper can be prompted, automatic and unmanned processing of partial beehive operation is achieved, and data display, result display and processing mode prompting are provided for beehive managers, technicians and the like through voice broadcasting, information display and other modes; improving the bee-keeping efficiency and the product quality management.
The above is only the preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto, and any modification and replacement based on the technical solution and the utility model should be covered in the protection scope of the present invention.
Claims (3)
1. Artificial Intelligence (AI) bee-keeping system based on cloud calculates, its characterized in that includes:
a data acquisition terminal which is arranged in each beehive and is used for acquiring the temperature, the humidity, the gas, the audio frequency, the video, the bee attendance, the weight and the position information in the beehive,
an information acquisition terminal which is arranged in the bee field and is used for acquiring the meteorological data and the honey source data in the bee field,
a data transmission device connected with the data acquisition terminal and the information acquisition terminal,
a cloud server connected with the data transmission device and used for receiving, storing and analyzing the collected data,
and the handheld terminal is connected with the cloud server.
2. The cloud computing-based Artificial Intelligence (AI) bee keeping system of claim 1, wherein: the data acquisition terminal comprises a microprocessor, a temperature sensor, a humidity sensor, a gas sensor, a sound sensor, a camera, a laser sensor, an infrared sensor, a weight sensor, a GPS module, a Beidou module and a communication module, wherein the temperature sensor, the humidity sensor, the gas sensor, the sound sensor, the camera, the laser sensor, the infrared sensor, the weight sensor, the GPS module, the Beidou module and the communication module are connected with the microprocessor, and the communication module.
3. The cloud computing-based Artificial Intelligence (AI) bee keeping system of claim 1, wherein: the information acquisition terminal comprises a single chip microcomputer, and a light sensor, a wind sensor, a rainfall sensor, a water quality sensor, a PM2.5 sensor, a video camera and a communication module which are connected with the single chip microcomputer, wherein the communication module is connected with the data transmission device.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111857022A (en) * | 2020-06-10 | 2020-10-30 | 巴中野蕊蜜源蜂业有限公司 | Intelligent beekeeping monitoring alarm system and method based on Internet of things |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111857022A (en) * | 2020-06-10 | 2020-10-30 | 巴中野蕊蜜源蜂业有限公司 | Intelligent beekeeping monitoring alarm system and method based on Internet of things |
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