公开(公告)号：US08744822B2

公开(公告)日：2014-06-03

申请号：US14148913

申请日：2014-01-07

申请人： Iteris, Inc.

发明人： John J. Mewes ,  Leon F. Osborne

IPC分类号： G06G7/48

CPC分类号： G06F17/5009 ,  Y02T10/82

摘要： A pavement condition analysis system and method models a state of a roadway by processing at least traffic and weather data to simulate the impact of traffic and weather conditions on a particular section of a transportation infrastructure. Traffic data is ingested from a plurality of different external sources to incorporate various approaches estimating traffic characteristics such as speed, flow, and incidents, into a road condition model to analyze traffic conditions on the roadway in order to improve road condition assessments and/or prediction. A road condition model applies these traffic characteristics, weather data, and other input data relevant to road conditions, accounting for heat and moisture exchanges between the road, the atmosphere, and pavement substrate(s) in a pavement's composition, as further influenced by traffic and road maintenance activities, to generate accurate and reliable simulations and predictions of pavement condition states for motorists, communication to vehicles, use by industry and public entities, and other end uses such as media distribution.

摘要翻译： 道路状况分析系统和方法通过处理至少交通和天气数据来模拟道路状态，以模拟交通和天气条件对交通基础设施的特定部分的影响。 交通数据从多个不同的外部来源摄入，以将估计诸如速度，流量和事件之类的交通特征的各种方法并入道路状况模型中，以分析道路上的交通状况，以改善道路状况评估和/或预测 。 道路状况模型应用与道路状况相关的这些交通特征，天气数据和其他输入数据，考虑道路，大气和路面构成中的路面基底之间的热交换，进一步受交通影响 和道路维护活动，以便为驾驶者，与车辆的通信，工业和公共实体的使用以及其他最终用途（如媒体分发）产生准确可靠的模拟和预测路面条件状态。

公开(公告)号：US09880140B2

公开(公告)日：2018-01-30

申请号：US14853593

申请日：2015-09-14

申请人： ITERIS, INC.

发明人： Leon F. Osborne ,  Brent L. Shaw ,  John J. Mewes ,  Dustin M. Salentiny

IPC分类号： A01G7/00 ,  G01N33/00 ,  G06F17/50

CPC分类号： G01N33/0098 ,  A01G7/00 ,  G06F17/5009

摘要： A modeling framework for estimating crop growth and development over the course of an entire growing season generates a continuing profile of crop development from any point prior to and during a growing season until a crop maturity date is reached. The modeling framework applies extended range weather forecasts and remotely-sensed imagery to improve crop growth and development estimation, validation and projection. Output from the profile of crop development profile generates a combination of data for use in auxiliary farm management applications.

公开(公告)号：US09579700B2

公开(公告)日：2017-02-28

申请号：US14725139

申请日：2015-05-29

申请人： ITERIS, INC.

发明人： Leon F. Osborne

IPC分类号： G06G7/58 ,  B09C1/00

CPC分类号： B09C1/002

摘要： An analytical framework and modeling process for assessing salinity contamination of soil ecosystems in geographical areas related to oil and gas production sites combines detection and monitoring of unplanned saltwater releases from such production activities with soil impact prediction. The analytical framework and modeling process enables an assessment of risks associated with saltwater disposal from drilling operations to the surrounding environment and the impact on soils, aquifers, rangeland, cropland, and adjoining areas by monitoring water movement and other soil conditions, and generating predictive output data for landowners, farmers, oil and gas production site operators, governmental regulators, and other end users for contamination mitigation and agricultural activities.

摘要翻译： 用于评估与油气生产现场有关的地理区域土壤生态系统的盐分污染的分析框架和建模过程将检测和监测这些生产活动中的计划外盐水释放与土壤影响预测相结合。 分析框架和建模过程能够通过监测水的运动和其他土壤条件来评估从钻井作业到周围环境的盐水处理相关风险以及对土壤，含水层，牧场，农田和邻近地区的影响，并产生预测产出 为土地所有者，农民，石油和天然气生产现场运营商，政府监管机构和其他终端用户提供减少污染和农业活动的数据。

公开(公告)号：US09131644B2

公开(公告)日：2015-09-15

申请号：US14463111

申请日：2014-08-19

申请人： ITERIS, INC.

发明人： Leon F. Osborne

IPC分类号： G06G7/48 ,  A01G7/00 ,  G06F17/50

CPC分类号： G01N33/0098 ,  A01G7/00 ,  G06F17/5009

摘要： A modeling framework for estimating crop growth and development over the course of an entire growing season generates a continuing profile of crop development from any point prior to and during a growing season until a crop maturity date is reached. The modeling framework applies extended range weather forecasts and remotely-sensed imagery to improve crop growth and development estimation, validation and projection. Output from the profile of crop development profile generates a combination of data for use in auxiliary farm management applications.

摘要翻译： 在整个生长季节期间估算作物生长和发育的建模框架，从生长季节之前和期间的任何一个角度到作物到期日均达到持续的作物发展。 建模框架应用扩展范围的天气预报和遥感影像来改善作物生长和发育估算，验证和预测。 作物开发剖面图的输出生成用于辅助农场管理应用程序的数据组合。

公开(公告)号：US09098654B2

公开(公告)日：2015-08-04

申请号：US14294056

申请日：2014-06-02

申请人： ITERIS, INC.

发明人： John J. Mewes ,  Leon F. Osborne

IPC分类号： G06G7/48 ,  G06F17/50

CPC分类号： G06F17/5009 ,  Y02T10/82

摘要： A pavement condition analysis system and method models a state of a roadway by processing at least traffic and weather data to simulate the impact of traffic and weather conditions on a particular section of a transportation infrastructure. Traffic data is ingested from a plurality of different external sources to incorporate various approaches estimating traffic characteristics such as speed, flow, and incidents, into a road condition model to analyze traffic conditions on the roadway in order to improve road condition assessments and/or prediction. A road condition model applies these traffic characteristics, weather data, and other input data relevant to road conditions, accounting for heat and moisture exchanges between the road, the atmosphere, and pavement substrate(s) in a pavement's composition, as further influenced by traffic and road maintenance activities, to generate accurate and reliable simulations and predictions of pavement condition states for motorists, communication to vehicles, use by industry and public entities, and other end uses such as media distribution.

摘要翻译： 道路状况分析系统和方法通过处理至少交通和天气数据来模拟道路状态，以模拟交通和天气条件对交通基础设施的特定部分的影响。 交通数据从多个不同的外部来源摄入，以将估计诸如速度，流量和事件之类的交通特征的各种方法并入道路状况模型中，以分析道路上的交通状况，以改善道路状况评估和/或预测 。 道路状况模型应用与道路状况相关的这些交通特征，天气数据和其他输入数据，考虑道路，大气和路面构成中的路面基底之间的热交换，进一步受交通影响 和道路维护活动，以便为驾驶者，与车辆的通信，工业和公共实体的使用以及其他最终用途（如媒体分发）产生准确可靠的模拟和预测路面条件状态。

公开(公告)号：US20140358486A1

公开(公告)日：2014-12-04

申请号：US14463111

申请日：2014-08-19

申请人： ITERIS, INC.

发明人： Leon F. Osborne

IPC分类号： G01N33/00

CPC分类号： G01N33/0098 ,  A01G7/00 ,  G06F17/5009

摘要： A modeling framework for estimating crop growth and development over the course of an entire growing season generates a continuing profile of crop development from any point prior to and during a growing season until a crop maturity date is reached. The modeling framework applies extended range weather forecasts and remotely-sensed imagery to improve crop growth and development estimation, validation and projection. Output from the profile of crop development profile generates a combination of data for use in auxiliary farm management applications.

摘要翻译： 在整个生长季节期间估算作物生长和发育的建模框架，从生长季节之前和期间的任何一个角度到作物到期日均达到持续的作物发展。 建模框架应用扩展范围的天气预报和遥感影像来改善作物生长和发育估算，验证和预测。 作物开发剖面图的输出生成用于辅助农场管理应用程序的数据组合。