Abstract:
An error diagnosing method performed by an apparatus for diagnosing an error of operating equipment in a smart farm includes: receiving a control message which triggers an error diagnosis; analyzing data collected from a smart farm on the basis of a preset error diagnostic rule when the control message is received; outputting a result of determining whether an error of the operating equipment installed in the smart farm occurs according to an analysis result; and providing the error determination result to a user through a user interface. It is possible to stably operate and efficiently manage a smart farm.
Abstract:
An apparatus and method for optimizing crop production efficiency. The method includes collecting growth information of each farm, acquiring at least one supply resource variable by comparing the collected growth information with a preset reference model, training influence of the at least one supply resource variable on production efficiency, and building an analysis model which shows production efficiency according to the at least one supply resource variable as a result of the training. Accordingly, production efficiency can be optimized by reflecting local characteristics of each farm on the reference model.
Abstract:
An agricultural products processing center (APC) adaptive analysis processing system includes SaaS input/output system configured to implement agricultural product decision-making ERP system adapted to an APC by using an application program interface provided by SaaS platform, request analysis from PaaS analysis system, receive an analysis result, and output the analysis result to be visualized to only an APC which has requested the analysis, the PaaS analysis system configured to adaptively analyze demand and supply prediction and a demand and supply trend of agricultural products by using an analysis performing module in response to input data and the analysis request received from the ERP system, based on APC information and APC algorithms received from an IaaS storage system and transmit an analysis result to the SaaS input/output system, and the IaaS storage system configured to transmit the APC information and the APC algorithms to the PaaS analysis system.
Abstract:
Provided herein is an apparatus for data processing, the apparatus including a receiving module configured to receive first data; a data processing module configured to process the first data received from the receiving module, to generate second data including meta data of the first data, and third data including the first data with its data type changed to an array type; and a mapping module configured to change a system of the first data and second data received from the data processing module to generate fourth data and fifth data, and to generate sixth data including mapping data of between the first data and fourth data and between the second data and fifth data.
Abstract:
A system for big data aggregation in a sensor network is provided, and the system includes a sensor network which comprises two or more sensor nodes connected to each other over a wired/wireless network and is configured to transfer sensor data generated by each of the two or more sensor nodes to a big data management unit by setting a destination address in the sensor data as an address of a big data management unit; and the big data management unit configured to distribute and dispersedly store the sensor data based on the set destination address of the sensor data.
Abstract:
A cloud system for a big data process, and an operation method thereof. A cloud operation method of processing big data includes: receiving a cluster rule; monitoring a cluster resource and a cluster task; adding a cluster resource based on the cluster rule and a cluster resource monitoring value; and replicating a cluster based on a cluster rule and a cluster task monitoring value, wherein the cluster rule may include at least one of a resource assignment threshold value, a resource amount to be assigned, a task threshold value, and a number of replicated clusters.
Abstract:
In a method for controlling water quality sensor faults by receiving sensing data reported from one or more water quality sensors in an apparatus for controlling water quality sensor faults, the method includes: detecting an outlier value in sensing data reported from the one or more water quality sensors; and in response to detection of an outlier value in the sensing data, determining whether a water quality sensor corresponding to the detected outlier value is faulty.
Abstract:
Disclosed herein are an apparatus and method for managing the locations of service equipment for a plant factory. The apparatus includes a sensor registration management unit, a sensor ID issuance unit, and a location registration management unit. The sensor registration management unit performs a registration procedure that registers with a sensor network a plurality of service devices and sensors that are installed in the plant factory. The sensor ID issuance unit issues sensor IDs to the plurality of service devices and sensors registered with the sensor network, respectively. The location registration management unit performs a location registration procedure that registers information about the locations of the plurality of service devices and sensors based on the issued sensor IDs.
Abstract:
Provided is a virtual sensor system for a digital twin application. The virtual sensor system includes an edge gateway configured to collect data collected from physical sensors in the real world, apply the collected data to a virtual sensor model, and operate virtual sensors for configuring a digital twin world, and a virtual sensor framework configured to train the virtual sensor model using data, which is measured by the physical sensors, from the edge gateway and distribute the virtual sensor model to the edge gateway.
Abstract:
Disclosed is a monitoring method for visualizing a location of an inactive livestock in a livestock pen. This method includes extracting, by a video analysis device, livestock objects from a video image acquired for each frame and subsequently calculating center coordinates indicating a location of the inactive livestock based on coordinates of the extracted livestock objects, displaying, by a display device, an object icon representing the inactive livestock in a display region mapped to the calculated center coordinate among a plurality of display regions defined on a display screen, and emitting light by light emitting units selected based on the calculated center coordinate, among a plurality of lighting units installed in a livestock structure.