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    • 1. 发明授权
    • Method of wood strength and stiffness prediction
    • 木材强度和刚度预测方法
    • US07680304B2
    • 2010-03-16
    • US10854930
    • 2004-05-25
    • Jacek M. BiernackiCarl FlatmanRon LahodaSteve Woods
    • Jacek M. BiernackiCarl FlatmanRon LahodaSteve Woods
    • G06K9/00G01B11/02
    • G06T7/0004G01N33/46G06T2207/30161
    • A method of non-destructive testing of a wood piece using a multiplicity of sensors. The method may include the steps of sensing the wood piece; collecting information from the sensors; and integrating the information into a physical model providing for strength and stiffness prediction. The collected information relate to material characteristics of the wood piece and to fiber quality characteristics of the wood piece. The material characteristics may include one or more of the following material characteristics of the wood piece: growth ring thickness; grain angle deviation; clear wood density; knot location; knot density; knot type; knot size; location in the tree from which the wood piece was cut. The fiber quality characteristics may include one or more of the following fiber quality characteristics: microfibril angle, juvenile wood, biodeterioration; reaction wood species; and manufacturing or drying defects including one or more of the following defects: sawcuts, checks, shake; size of actual cross-section, and species.
    • 使用多种传感器对木片进行非破坏性测试的方法。 该方法可以包括感测木片的步骤; 从传感器收集信息; 并将信息整合到提供强度和刚度预测的物理模型中。 收集的信息涉及木片的材料特性和木片的纤维质量特性。 材料特性可以包括木质件的以下材料特性中的一种或多种:生长环厚度; 晶粒角度偏差; 清除木材密度; 结位置; 结密度; 结型; 结大小; 树木上的位置被砍伐。 纤维质量特征可以包括以下纤维质量特征中的一种或多种:微原纤维角,幼木,生物改良; 反应木种; 制造或干燥缺陷包括以下一个或多个缺陷:锯切,检查,摇动; 实际横截面尺寸,种类。
    • 2. 发明申请
    • Displacement method of knot sizing
    • 结节尺寸的位移法
    • US20050190958A1
    • 2005-09-01
    • US11061874
    • 2005-02-22
    • Steve WoodsRon LahodaJacek BiernackiCarl Flatman
    • Steve WoodsRon LahodaJacek BiernackiCarl Flatman
    • G01B5/28G01N23/18G01N33/46
    • G01N33/46G01N23/18
    • A method of estimating the displaced size of a knot in a lumber piece includes the steps of: translating the lumber piece downstream along a flow path between a radiation source and sensor while simultaneously irradiating the lumber piece with radiation from the first radiation source whereby the radiation is attenuated by the lumber piece; collecting a set of radiation intensity data from the radiation sensor as the lumber piece is irradiated; processing the set of radiation intensity data to sum the radiation intensity data and to provide radiation intensity profiles transversely of the flow path direction and corresponding density profiles transversely of the flow path direction; mapping the density profiles to model a set of three dimensional density profiles of the lumber piece; processing the radiation intensity data to determine a clear wood density threshold value for the lumber piece and a maximum density value of the density profiles; and, computing a ratio of the summed density profile values to the summed maximum density values for the density profiles and multiplying the ratio with the transverse width of the lumber piece.
    • 估计木材件中的结的位移尺寸的方法包括以下步骤:沿着沿辐射源和传感器之间的流动路径的下游平移木材件,同时用来自第一辐射源的辐射同时照射该木材件,由此辐射 被木材片衰减; 当照射所述木材片时,从所述辐射传感器收集一组辐射强度数据; 处理所述辐射强度数据集合以对辐射强度数据求和,并且横向地提供横向于流动路径方向的辐射强度分布和横向于流动路径方向的相应密度分布; 映射密度分布以模拟木材片的一组三维密度分布; 处理辐射强度数据以确定木材片的清晰木材密度阈值和密度分布的最大密度值; 并且计算加密密度分布值与密度分布的总和最大密度值的比率,并将该比率与该木材片的横向宽度相乘。
    • 3. 发明申请
    • Method of wood strength and stiffness prediction
    • 木材强度和刚度预测方法
    • US20050031158A1
    • 2005-02-10
    • US10854930
    • 2004-05-25
    • Jacek BiernackiCarl FlatmanRon LahodaSteve Woods
    • Jacek BiernackiCarl FlatmanRon LahodaSteve Woods
    • G01N33/46G06T7/00G06K9/00
    • G06T7/0004G01N33/46G06T2207/30161
    • A method of non-destructive testing of a wood piece using a multiplicity of sensors. The method may include the steps of sensing the wood piece; collecting information from the sensors; and integrating the information into a physical model providing for strength and stiffness prediction. The collected information relate to material characteristics of the wood piece and to fiber quality characteristics of the wood piece. The material characteristics may include one or more of the following material characteristics of the wood piece: growth ring thickness; grain angle deviation; clear wood density; knot location; knot density; knot type; knot size; location in the tree from which the wood piece was cut. The fiber quality characteristics may include one or more of the following fiber quality characteristics: microfibril angle, juvenile wood, biodeterioration; reaction wood species; and manufacturing or drying defects including one or more of the following defects: sawcuts, checks, shake; size of actual cross-section, and species.
    • 使用多种传感器对木片进行非破坏性测试的方法。 该方法可以包括感测木片的步骤; 从传感器收集信息; 并将信息整合到提供强度和刚度预测的物理模型中。 收集的信息涉及木片的材料特性和木片的纤维质量特性。 材料特性可以包括木质件的以下材料特性中的一种或多种:生长环厚度; 晶粒角度偏差; 清除木材密度; 结位置; 结密度; 结型; 结大小; 树木上的位置被砍伐。 纤维质量特征可以包括以下纤维质量特征中的一种或多种:微原纤维角,幼木,生物改良; 反应木种; 制造或干燥缺陷包括以下一个或多个缺陷:锯切,检查,摇动; 实际横截面尺寸,种类。
    • 5. 发明授权
    • Displacement method of knot sizing
    • 结节尺寸的位移法
    • US07149633B2
    • 2006-12-12
    • US11061874
    • 2005-02-22
    • Steve WoodsRon LahodaJacek M. BiernackiCarl Flatman
    • Steve WoodsRon LahodaJacek M. BiernackiCarl Flatman
    • G01R27/26
    • G01N33/46G01N23/18
    • A method of estimating the displaced size of a knot in a lumber piece includes the steps of: translating the lumber piece downstream along a flow path between a radiation source and sensor while simultaneously irradiating the lumber piece with radiation from the first radiation source whereby the radiation is attenuated by the lumber piece; collecting a set of radiation intensity data from the radiation sensor as the lumber piece is irradiated; processing the set of radiation intensity data to sum the radiation intensity data and to provide radiation intensity profiles transversely of the flow path direction and corresponding density profiles transversely of the flow path direction; mapping the density profiles to model a set of three dimensional density profiles of the lumber piece; processing the radiation intensity data to determine a clear wood density threshold value for the lumber piece and a maximum density value of the density profiles; and, computing a ratio of the summed density profile values to the summed maximum density values for the density profiles and multiplying the ratio with the transverse width of the lumber piece.
    • 估计木材件中的结的位移尺寸的方法包括以下步骤:沿着辐射源和传感器之间的流动路径下游切割木材件,同时用来自第一辐射源的辐射照射该木材件,由此辐射 被木材片衰减; 当照射所述木材片时,从所述辐射传感器收集一组辐射强度数据; 处理所述辐射强度数据集合以对辐射强度数据求和,并且横向地提供横向于流动路径方向的辐射强度分布和横向于流动路径方向的相应密度分布; 映射密度分布以模拟木材片的一组三维密度分布; 处理辐射强度数据以确定木材片的清晰木材密度阈值和密度分布的最大密度值; 并且计算加密密度分布值与密度分布的总和最大密度值的比率,并将该比率与该木材片的横向宽度相乘。
    • 6. 发明申请
    • Method and apparatus for improved inspection classification of attributes of a workpiece
    • US20050021280A1
    • 2005-01-27
    • US10900421
    • 2004-07-28
    • Steve WoodsMichael McGuireHarry OgloffZvonimir SkocicEmeric Johnson
    • Steve WoodsMichael McGuireHarry OgloffZvonimir SkocicEmeric Johnson
    • G01N23/04G01N23/18G07C3/14G01P5/00
    • G07C3/146G01N23/04G01N23/18
    • An apparatus for detecting the probable existence, location, and type of defects in a workpiece is described. The apparatus includes a sensor subsystem, an optimizer, a control subsystem, and a computer system having a processor and computer readable memory. Sensor subsystem senses a first section of the workpiece and produces signals corresponding to a physical characteristic of the workpiece. The computer system is configured to generate a workpiece model based on the signals produced by the sensor subsystem. In an alternate embodiment, a defect assembler can be provided to merge signals from a plurality of sensor subsystems. The defect assembler can also be configured to generate the workpiece data model. The optimizer is configured to generate workpiece segmentation recommendations based on the workpiece data model. The processor is configured with a first producer thread program which, in response to the receipt of a first set of signals by the computer system, receives a data subscription request from a subsystem which uses data and transmits the signals from the computer readable memory to the generator of the data subscription request. The processor is further configured to generate a second producer thread in response to storage of a second set of signals in the computer readable memory. The second producer thread is configured to receive one of the data subscription requests and selectively send the second set of signals to the generator of the data subscription request. A tracking device for tracking selective kinematics of a workpiece moving through a plant is also disclosed. The tracking device includes an encoder wheel configured to tangentially contact a workpiece and rotate at an angular velocity coincident with the linear velocity of the workpiece. The tracking apparatus further includes a drive mechanism for driving the encoder wheel at a first angular velocity approaching the angular velocity of the encoder wheel which is coincident with the linear velocity of the workpiece. The tracking device also includes a signal generator configured to interact with the encoder wheel and generate a signal in response to the angular velocity of the encoder wheel. The tracking apparatus can be incorporated into the apparatus for detecting defects within a workpiece by providing the signal from the signal generator to the control subsystem.