KR-20260063374-A - SMART FARM MONITORING AND REMOTE CONTROL SYSTEM, AND MONITORING AND REMOTE CONTROL METHOD USING THEREOF

Abstract

A smart farm monitoring and remote control system capable of efficient integrated management with low power consumption for large-scale farms or growth facilities divided into multiple sections or scattered multiple growth facilities, and a smart farm monitoring and remote control method using the same are disclosed. The smart farm monitoring and remote control system of the present invention is a smart farm monitoring and remote control system for farm sections divided into two or more sections, wherein each farm section includes one or more sensor sections, control sections, and video sections, and is installed to communicate with the sensor sections; one or more sensor section gateways connected to communicate with the control sections; one or more control section gateways connected to communicate with the control sections; one or more video section gateways connected to communicate with the video sections; a sensing server connected to communicate with the one or more sensor section gateways; a video server connected to communicate with the one or more video section gateways; a control server connected to communicate with the one or more control section gateways, the sensing server, and the video server; and the control server is connected to communicate with one or more user terminals.

Inventors

• 장현수

Assignees

• 주식회사 현태

Dates

Publication Date

20260507

Application Date

20241030

Claims (8)

1. As a smart farm monitoring and remote control system for farm sections divided into two or more parts, Each farm section is equipped with one or more sensor units, control units, and video units, and One or more sensor unit gateways connected to communicate with the above sensor unit; One or more control unit gateways connected to communicate with the above-mentioned control unit; It includes one or more video unit gateways that are communicably connected to the video unit, and A sensing server connected to communicate with one or more of the above-mentioned sensor unit gateways; A video server connected to communicate with one or more of the above-mentioned video unit gateways; A control server connected to communicate with the above-mentioned one or more control unit gateways, a sensing server, and a video server; A smart farm monitoring and remote control system characterized in that the above-mentioned control server is connected to communicate with one or more user terminals.
2. In Article 1, One or more of the above-mentioned control units and control unit gateways are connected to communicate using a wireless communication means using the Zigbee protocol, and Communication between the above one or more sensor units and sensor unit gateways is made possible by a wireless communication means using the LoRa protocol, and A smart farm monitoring and remote control system characterized by the fact that one or more video units and video unit gateways are connected to communicate using a wireless communication means using a Wi-Fi protocol.
3. In Article 1, Each of the above one or more sensor units includes one or more selected from a temperature and humidity sensor; a soil sensor; a light intensity sensor; and an air quality sensor. Each of the above one or more control units includes one or more selected from a supply unit switch; a water valve switch; a sprinkler switch; a temperature controller switch; and a light intensity controller switch. A smart farm monitoring and remote control system characterized in that each of the above-mentioned one or more video units includes one or more video capturing units and data buffers.
4. In Article 1, The above-mentioned sensing server, video server, and control server each include a communication unit and a database including one or more sub-databases for the individual farm sections, and A smart farm monitoring and remote control system characterized in that the above-mentioned control server includes a farm control program comprising a water supply control unit, an irrigation control unit, a temperature control unit, and a light intensity control unit.
5. In Paragraph 4, The above sensing server further includes a sensing correction unit, and The above-mentioned sensing correction unit includes one or more sensing correction models and a sensing learning DB, and A smart farm monitoring and remote control system characterized in that each sub-database for an individual farm section of the above-mentioned sensing server includes a temperature and humidity measurement storage unit, a soil measurement storage unit, a light intensity measurement storage unit, and an air quality measurement storage unit.
6. In Article 1, The above video server further includes a risk recognition unit, and A smart farm monitoring and remote control system characterized by the above-mentioned risk recognition unit including one or more risk recognition models and an image learning DB.
7. In Paragraph 5, The above sensing learning DB includes one or more sensing learning datasets and a sensing prediction data storage space, and The above dataset includes one or more selected from atmospheric temperature, atmospheric humidity, soil temperature, soil humidity, soil fertility, soil contamination, total moisture content, solar radiation, fine dust, and air quality index. A smart farm monitoring and remote control system characterized in that each of the above one or more sensing correction models includes a temperature and humidity measurement correction model, a soil measurement correction model, a light intensity measurement correction model, an air quality measurement correction model, and a learning unit.
8. In Paragraph 6, A smart farm monitoring and remote control system characterized in that each of the above one or more risk recognition models includes an anomaly recognition model and an object recognition model.

Description

Smart farm monitoring and remote control system, and smart farm monitoring and remote control method using the same The present invention relates to a smart farm monitoring and remote control system and a smart farm monitoring and remote control method using the same. More specifically, it relates to a smart farm monitoring and remote control system capable of efficient integrated management with low power consumption for a large-scale farm or growth facility divided into multiple sections or a scattered number of growth facilities, and a smart farm monitoring and remote control method using the same. With the introduction of modern automation systems and information and communication technologies (ICT) into agriculture, a fundamental primary industry, smart farms are being actively developed. A smart farm refers to an intelligent agricultural system that integrates automation equipment and ICT into the production, processing, and distribution of conventional agricultural, forestry, livestock, and fishery products to optimize and actively control growth, storage, and transportation environments. Such smart farms utilize the Internet of Things (IoT) to measure and analyze environmental information, such as temperature, humidity, light intensity, carbon dioxide, and soil conditions, regarding cultivation and growth facilities for agricultural, livestock, and fishery products (hereinafter referred to as farms), and to drive control devices based on the analysis results to actively change the environment of the cultivation and growth facilities to a state that is as ideal as possible for growth. However, as mentioned above, such a smart farm must install automation equipment and sensing devices based on information and communication technology within the designated area, and since these all operate using electrical energy, a power supply is required for the farm that serves as the smart farm. However, there is a problem in that power supply is difficult because the farms targeted for smart farming are all located in remote areas. Typically, farms are situated in open fields far from urban centers, or on remote coastlines when growing aquatic products, making power supply difficult. Furthermore, electricity costs can increase due to additional equipment installation expenses, potentially making it uneconomical. Furthermore, farms occupy a large flat area, and communication between devices installed sparsely within this space can become a problem. If a wired communication method is adopted, additional installation and maintenance costs are incurred due to the need to install more wired equipment, and the system also takes up space. If a wireless communication method is adopted, problems arise such as poor communication or the need to install excessive wireless equipment for communication, as farms located in remote areas often lack proper public telecommunication networks. Meanwhile, the applicant of the present invention has disclosed, through registered patent No. 10-2597672, a module-type solar power supply and water purification device integrated in the form of a container box that can supply power through solar power generation to open fields or underdeveloped areas where power supply is difficult as described above. Since such solar power supply modules can be utilized as an alternative for power supply in areas where power supply is difficult, it is possible to install and operate smart farm systems in open fields, underdeveloped areas, or remote coastal areas. However, as there are limitations in the amount of power produced and supplied, there is a need for a smart farm system that can be operated effectively with the lowest possible power consumption. Furthermore, there is a need for a system that can achieve economies of scale by operating multiple such smart farm facilities in an integrated manner, which led to the invention of the present invention. FIG. 1 is a schematic diagram of the system of the present invention. FIG. 2 is a partial schematic diagram of the system of the present invention. FIG. 3 is a structural diagram of the server part of the system of the present invention. FIG. 4 is an operational structure diagram of the sensing correction unit in the system of the present invention. FIG. 5 is an operational structure diagram of a sensing correction model in the system of the present invention. FIG. 6 is an operational structure diagram of a risk recognition model in the system of the present invention. The present invention will be described in more detail below with reference to preferred embodiments and the accompanying drawings. The following description is intended to aid in understanding and practicing the present invention and is not intended to limit the invention. Those skilled in the art will understand that various modifications, changes, or alterations may be made within the scope of the invention as described in the following claims. Throughout the specification of the present