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:
A system and method of monitoring in-pen livestock by using edge information about livestock are provided. The method controls a plurality of edge lightings and cameras installed in a pen by using a synchronization signal and accurately acquires and synthesizes edge information about livestock obtained on the basis of a control result to generate monitoring information about livestock.
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:
Provided is an apparatus and method for predicting the remaining lifetime of an environment data collection sensor in a livestock house. The method for predicting the remaining lifetime of an environment data collection sensor in a livestock house includes (a) collecting livestock house environment information, (b) detecting an error of a sensor from the collected livestock house environment information, (c) generating a dataset for learning, (d) generating a sensor lifetime prediction model to performing learning, and (e) predicting a lifetime of the sensor using a result of the learning.
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:
Disclosed in an apparatus and method for restoring sensor data faults remotely that are caused due to an impurity attached to a water quality sensor, by using sensor data, the apparatus including, a fault determining unit to determine whether the water quality sensor is faulty using fault related data when the sensor data received from a sensor node is an outlier value, and a cleaning device requesting unit to request operation of a cleaning device that removes an impurity of the water quality sensor when the water quality sensor is determined to be normal.
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.