Kubota had two patents in big data during Q4 2023. The patent filed by Kubota Corp in Q4 2023 is for a buried piping replacement period prediction apparatus. This apparatus includes a unit for acquiring attribute data of buried piping, such as environmental factors, burial period, and pipe wall thickness. Another unit calculates the exceedance probability of corrosion depth in a certain period based on a prediction model. This technology aims to predict when buried piping may need replacement due to corrosion. GlobalData’s report on Kubota gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
Kubota grant share with big data as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Buried piping replacement period prediction apparatus, buried piping replacement period prediction method, and non-transitory computer-readable recording medium (Patent ID: US20230376647A1)
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The patent filed by Kubota Corp. describes a buried piping replacement period prediction apparatus that includes a data acquisition unit for buried piping attributes and a prediction unit for the exceedance probability of corrosion depth. The apparatus calculates the probability of the corrosion depth of buried piping exceeding the nominal pipe wall thickness or allowable corrosion depth based on environmental factors, burial period, and pipe thickness. It utilizes reference data of other pipes to predict corrosion probability, considering variations in corrosion speed and lag time of corrosion.
Furthermore, the patent outlines a method for predicting the replacement period of buried piping based on acquired attribute data and the exceedance probability of corrosion depth. The method involves calculating the probability of corrosion depth exceeding the pipe's thickness, using reference data and a prediction model. It also includes steps for calculating water leakage accidents, probabilities, and total numbers, as well as selecting the appropriate prediction model based on environmental factors. The patent also covers computer-readable recording mediums with instructions for executing the prediction method.
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