Description:FIELD OF THE INVENTION
This invention relates to Lora-Connected Beehive Monitoring System with Real-Time Notifications for Hive Health and Activity Analysis.
BACKGROUND OF THE INVENTION
To provide beekeepers with a cutting-edge and remote way to monitor the health and behavior of their beehives, the Cloud-Connected Beehive Monitoring System was created. The system gathers data from several sensors positioned inside the beehives by integrating a network made up of Beehive Monitoring Nodes and a central Routing Node. After that, a cloud server receives this information. After this transfer, the data is made accessible through an easy-to-use interface. This enables beekeepers to instantly monitor the condition of their beehives and get warnings regarding any changes or deviations.
Traditional beekeeping methods are unable to provide real-time surveillance and analysis, which makes it difficult to quickly identify health issues inside hives and identify trends in bee behavior. At the moment, beekeepers must do manual inspections, which takes a lot of time and could not give a complete picture of the hive's condition. Additionally, the inability to receive prompt notifications about significant changes in the hive's environment might hinder the ability to quickly put remedial measures into place.
US10064395B2 The present application includes a system configured to monitor and track the health and productivity of a beehive. Information associated with environmental conditions around the beehive are monitored along with conditions inside the beehive. This information is processed through a control system and compared to baseline expected values. Communication data is transmitted by the control system to a remote device to notify the beekeeper of the present and past health and productivity of the beehive. The beekeeper may remotely operate one or more functions to affect the beehive. Additionally, an electronic monitoring device is used to track the number of bees that leave and enter the beehive. A dual-gate design is used to determine the direction of travel of each bee so as to determine a more accurate reflection of the health of the beehive.
RESEARCH GAP: Beehive Monitoring with Lora RF and Cloud is the novelty of the system.
US8152590B2 A method of and system for using sounds produced by bees flying near a beehive entrance enable a beekeeper to assess the operational productivity of the beehive. In a preferred embodiment, the method entails positioning an acoustic pickup device, such as a microphone, at a location to pick up and provide an audio signal representing sounds produced by bees flying around the beehive entrance. The flying bees produce the sounds either while hovering in the vicinity of the beehive or while launching from locations around the beehive entrance to forage for pollen and nectar. The audio signal is analyzed to distinguish the sound of launching flying bees from the sound of ambient background noise.
RESEARCH GAP: Beehive Monitoring with Lora RF and Cloud is the novelty of the system.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. This invention relates to Lora-Connected Beehive Monitoring System with Real-Time Notifications for Hive Health and Activity Analysis.

SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
The Cloud-Connected Beehive Monitoring System gets going by deploying a variety of sensors inside of a carefully constructed framework. The Beehive Monitoring Node functions inside this architecture using a well specified algorithm. This program is specifically designed to methodically monitor the well-being and circumstances of beehives. The microcontroller (ATmega328 IC board) configures crucial communication ports and turns on sensors during start-up. The initialization of various sensors, including the DHT sensor (for temperature and humidity measurements), the weight sensor (for monitoring hive weight), the microphone sensor (for recording hive sounds), the light sensor (for measuring lighting conditions), and the motion sensor (for detecting movements around the hive), are also included in these actions. The LoRa RF Module is set up for long-distance communication with the Routing Node. The OLED display, LED indication, RTC module (for timestamping), MicroSD card reader module (for data storage), and the solar-powered power source are also included, all of which have been precisely planned to assure smooth operation. The Beehive Monitoring Node's primary operational cycle focuses around its data collection loop. The DHT sensor, which offers information on hive temperature and humidity levels, is the first sensor that this loop continuously collects data from. The weight sensor also tracks changes in hive weight, providing vital data on honey output and general hive health. The microphone sensor records hive sounds, possibly providing crucial information about bee activity and behavior. The light sensor monitors the amount of ambient light in the area surrounding the hive, which aids in the comprehension of environmental conditions from the outside. As activity around the hive is detected, the motion sensor provides information about possible disruptions or noteworthy events.
The gathered information serves two purposes, enabling beekeepers to conduct both on-site observations and remote monitoring. The algorithm makes it easier to display important data on the OLED display, such temperature, humidity, and weight. This gives on-site beekeepers instant access to information on the health of the hives. By storing the gathered data into the MicroSD card via the MicroSD card reader module, the program also assures data redundancy. This redundant system ensures data security even when communications are interrupted. The algorithm packages the gathered data into a format appropriate for LoRa transmission and sends it to the Routing Node via the LoRa RF communication interface to ensure effective data delivery. Feedback on the transmission status is given visually through the LED indication. In order to maintain continuous monitoring of hive conditions, the Beehive Monitoring Node algorithm loops back to data collecting after transmission. For each data collection, the RTC module is essential in supplying accurate timestamps that allow for synchronization and thorough analysis. The program addresses instances where sensor data could be distorted or absent, ensuring system dependability. It also combines error-checking techniques to assure data integrity throughout transmission.
The program also uses power management techniques to track the amount of energy coming from the solar-powered power source. In order to optimize energy usage and ensure long-term Beehive Monitoring Node functioning, it employs power-saving strategies including enabling the microcontroller to sleep in between data gathering cycles. The Routing Node is in charge of aggregating and transmitting data in the Cloud-Connected Beehive Monitoring System. An algorithm that starts with the initialization of crucial parts controls this process. The microcontroller (ATmega328 IC board) sets up internet access using the NuttyFi WiFi Board and the LoRa RF Module for communication with Beehive Monitoring Nodes. The Routing Node's activities are built on this. The Routing Node continually watches for incoming data from Beehive Monitoring Nodes through the LoRa RF Module inside the main loop. It unpacks and gets the data ready for processing after receiving it. The method combines data from several Beehive Monitoring Nodes to provide a single dataset that contains data on the activity and health of various hives. The Routing Node uses the NuttyFi WiFi Board's internet access when aggregation is finished. The data is transmitted for centralized storage and analysis when it establishes a connection with the cloud server. In order to effectively transmit data and align it with cloud server needs, data must be structured. LEDs are visual indicators that can show if data transmission was successful or if there were any problems. Tracking upload times may be made easier by timestamping.

BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1: SYSTEM ARCHITECTURE
FIGURE 2: SYSTEM ARCHITECTURE
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The Cloud-Connected Beehive Monitoring System gets going by deploying a variety of sensors inside of a carefully constructed framework. The Beehive Monitoring Node functions inside this architecture using a well specified algorithm. This program is specifically designed to methodically monitor the well-being and circumstances of beehives. The microcontroller (ATmega328 IC board) configures crucial communication ports and turns on sensors during start-up. The initialization of various sensors, including the DHT sensor (for temperature and humidity measurements), the weight sensor (for monitoring hive weight), the microphone sensor (for recording hive sounds), the light sensor (for measuring lighting conditions), and the motion sensor (for detecting movements around the hive), are also included in these actions. The LoRa RF Module is set up for long-distance communication with the Routing Node. The OLED display, LED indication, RTC module (for timestamping), MicroSD card reader module (for data storage), and the solar-powered power source are also included, all of which have been precisely planned to assure smooth operation. The Beehive Monitoring Node's primary operational cycle focuses around its data collection loop. The DHT sensor, which offers information on hive temperature and humidity levels, is the first sensor that this loop continuously collects data from. The weight sensor also tracks changes in hive weight, providing vital data on honey output and general hive health. The microphone sensor records hive sounds, possibly providing crucial information about bee activity and behavior. The light sensor monitors the amount of ambient light in the area surrounding the hive, which aids in the comprehension of environmental conditions from the outside. As activity around the hive is detected, the motion sensor provides information about possible disruptions or noteworthy events.
The gathered information serves two purposes, enabling beekeepers to conduct both on-site observations and remote monitoring. The algorithm makes it easier to display important data on the OLED display, such temperature, humidity, and weight. This gives on-site beekeepers instant access to information on the health of the hives. By storing the gathered data into the MicroSD card via the MicroSD card reader module, the program also assures data redundancy. This redundant system ensures data security even when communications are interrupted. The algorithm packages the gathered data into a format appropriate for LoRa transmission and sends it to the Routing Node via the LoRa RF communication interface to ensure effective data delivery. Feedback on the transmission status is given visually through the LED indication. In order to maintain continuous monitoring of hive conditions, the Beehive Monitoring Node algorithm loops back to data collecting after transmission. For each data collection, the RTC module is essential in supplying accurate timestamps that allow for synchronization and thorough analysis. The program addresses instances where sensor data could be distorted or absent, ensuring system dependability. It also combines error-checking techniques to assure data integrity throughout transmission.
The program also uses power management techniques to track the amount of energy coming from the solar-powered power source. In order to optimize energy usage and ensure long-term Beehive Monitoring Node functioning, it employs power-saving strategies including enabling the microcontroller to sleep in between data gathering cycles. The Routing Node is in charge of aggregating and transmitting data in the Cloud-Connected Beehive Monitoring System. An algorithm that starts with the initialization of crucial parts controls this process. The microcontroller (ATmega328 IC board) sets up internet access using the NuttyFi WiFi Board and the LoRa RF Module for communication with Beehive Monitoring Nodes. The Routing Node's activities are built on this. The Routing Node continually watches for incoming data from Beehive Monitoring Nodes through the LoRa RF Module inside the main loop. It unpacks and gets the data ready for processing after receiving it. The method combines data from several Beehive Monitoring Nodes to provide a single dataset that contains data on the activity and health of various hives. The Routing Node uses the NuttyFi WiFi Board's internet access when aggregation is finished. The data is transmitted for centralized storage and analysis when it establishes a connection with the cloud server. In order to effectively transmit data and align it with cloud server needs, data must be structured. LEDs are visual indicators that can show if data transmission was successful or if there were any problems. Tracking upload times may be made easier by timestamping.
ADVANTAGES OF THE INVENTION
1. This invention gives beekeepers quick access to vital hive data, such as temperature, humidity, weight, and audio information. This enables them to govern the hive with more knowledge and initiative.
2. Beekeepers may remotely check on the health of their hives thanks to the cloud server. As a result, less regular physical hive inspections are required, saving time and resources.
3. Rapidly recognizing problems like insect invasions, disease outbreaks, or environmental stresses depends on the system's ongoing data gathering and processing. This prompt detection allows for prompt and efficient actions.
4. The collected data helps beekeepers make well-informed decisions based on data and offers insights into trends and patterns. This improves beekeeping techniques and total output.
5. The system's data collection can make a substantial contribution to scientific study on ecosystems, pollinators, and bees. This makes it easier to understand these important environmental elements at a deeper level.
6. The project actively contributes to the long-term sustainability of both beekeeping and biodiversity by supporting sustainable practices and avoiding disturbances to the natural ecosystem.
, Claims:1. A Lora-Connected Beehive Monitoring System with Real-Time Notifications for Hive Health and Activity Analysis comprises of Beehive Monitoring Node (10), TFT Display (11), RTC Module (12), MicroSD Card Reader Module (13), Solar Power Supply (14), Motion Sensor (15), Light Sensor (16), Ultrasonic Sensor (17), DHT Sensor (18), Weight Sensor (19), Microphone Sensor (20, ESP32 Board (21), and LoRa RF Module (22).
2. The system as claimed in claim 1, wherein the ESP32 Board, Lora RF Module, TFT Display Module, FTC Module, Micro SD Card Reader Module, Microphone Sensor, Weight Sensor, Ultrasonic Sensor, DHT Sensor, Light Sensor, Motion Sensor, and Solar Power Supply are all included in the Beehive Monitoring Node; and data pertaining to the hive is gathered by all of these components and then sent through Lora RF transmission to the Routing Node.
3. The system as claimed in claim 1, wherein the Atmega328 IC board, Lora RF Module, NuttyFi Wifi board, and a power supply unit are all included in the Routing Node's setup; and its function is to transport data received from the Beehive Monitoring Node to the cloud server.
4. The system as claimed in claim 1, wherein operating independently of open networks, Lora RF modules enable direct data sharing between the Beehive Monitoring Node and the Routing Node.
5. The system as claimed in claim 1, wherein the NuttyFi WiFi Board's inclusion enables the Routing Node to create a stable internet connection, facilitating flawless data transmission to the cloud server; and remote accessibility is made possible by this central repository.
6. The system as claimed in claim 1, wherein the Beehive Monitoring Node integrates many sensors, including the DHT sensor for temperature and humidity, the weight sensor for hive weight, the microphone sensor for audio data, the light sensor for ambient illumination, and the motion sensor for movement detection; and with this extensive sensor network, data gathering is precise and exhaustive.
7. The system as claimed in claim 1, wherein real-time data visualization is offered through the Beehive Monitoring Node's OLED display; and this tool greatly enhances on-site monitoring capabilities by enabling beekeepers to quickly access vital hive data including temperature, humidity, and weight.
8. The system as claimed in claim 1, wherein the Routing Node uses error-checking algorithms to maintain the integrity of the data it receives; and this preventative measure ensures the reliability and correctness of the assembled data before transmission.
9. The system as claimed in claim 1, wherein by utilizing renewable energy, the solar-based power source ensures that the Beehive Monitoring Node will operate sustainably and independently; and with this strategy, less frequent manual maintenance and battery replacement are required.