SMART SERICULTURE BIG DATA CONSTRUCTION SYSTEM

摘要

The present invention relates to a smart sericulture agricultural big data construction system, and more specifically, a sensor module installed inside, outside and in the silkworm growth area of Jamsil to acquire environmental information including temperature, humidity, and carbon dioxide concentration, and A sensor unit including a thermal imaging camera module that acquires a thermal image; a data collection unit that collects the environmental information and thermal images in real time through the sensor unit; A big data construction unit that constructs big data by analyzing and processing environmental information and thermal images collected by the data collection unit; and an integrated management unit that controls the temperature, humidity, and ventilation control device of the jamsil according to the results analyzed and processed by the big data building unit, stores and manages the control history, and outputs it to an administrator terminal. The big data building unit includes , a data processing module that removes noise from the environmental information and thermal images collected by the data collection unit and performs correction processing; an environmental analysis module that compares the environmental information processed by the data processing module with a reference value for silkworm growth and transmits a control signal to the integrated management unit to maintain the silkworm growth environment at the reference value; The thermal image processed in the data processing module is analyzed to identify normal silkworms and abnormal silkworms, but abnormal silkworms have a lower temperature than normal silkworms, and the temperature difference between silkworms captured in the thermal image is used to identify abnormal silkworms. analysis module; An identification result providing module that transmits the location of the abnormal silkworm identified in the image analysis module to the integrated management unit; and a big data storage module that stores and manages environmental information and thermal images processed in the data processing module. According to the smart sericulture agricultural big data construction system proposed in the present invention, by constructing a WSN where sensor modules and thermal imaging camera modules are wirelessly connected, silkworm growth is monitored from baby silkworms to red silkworms (silkworms just before silk extraction). Temperature, humidity, airflow, carbon dioxide, harmful gases, etc. can be collected and analyzed, and an environment for real-time monitoring can be created. Using WSN, environmental information collected from Anuae Jamsil and Big Silkworm Jamsil, silkworm growth, silkworm weight, By analyzing and processing thermal images to build big data, we establish optimal standard data and further improve the quality of domestic silkworm/red silkworm food through sharing, utilization, and management regardless of place and time through big data in sericulture agriculture. , quality equalization, purity improvement, etc. can be achieved, and by controlling the temperature, humidity, and ventilation control device of the dam using environmental information and thermal image analysis results, the competitiveness of sericulture agriculture can be improved by automating the operation of the dam. In addition, according to the smart sericulture agricultural big data construction system proposed in the present invention, thermal images are analyzed to identify normal and abnormal silkworms, and abnormal silkworms are identified using the temperature difference between silkworms captured in the thermal images. The health status of growing silkworms can be automatically determined, and managers can easily identify the location of abnormal silkworms and take appropriate measures quickly.