Information processor, state judging unit and diagnostic unit, information processing method, state judging method and diagnosing method
First Claim
1. An information processor of construction machinery, comprising:
- detecting means for detecting a multiplicity of combinations of n parameter values, where n is a natural number, for each of a plurality of operation modes in which an object functions, which values vary with operation of the construction machinery; and
Self-Organizing Map creating means for calculating n values by transforming the n parameter values into its derivative, including variation rates of the n parameter values, which have been detected with respect to time and that indicate a variation in a momentary state of the object, and creating a Self-Organizing Map by using detection data, obtained on the basis of the multiple combinations of both n values and n parameter values detected by said detecting means, as learning data;
wherein said Self-Organizing Map creating means creates a plurality of the Self-Organizing Maps, serving as individual separation models and corresponding one to each of the plurality of operation modes,wherein the operation modes are representative of the operation of the construction machinery,wherein said detecting means includes one or more sensors, andwherein the Self-Organizing Maps control the operation of the construction machinery for each of the construction machinery'"'"'s operation modes.
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Abstract
An information processor, a state judging unit, a diagnostic unit, an information processing method, a state judging method and a diagnosing method aim at precisely recognizing each operation carried out by an object that functions in a number of operation modes. For this purpose, a number of combinations of n parameter values, concerning each of the operation modes, that vary with operation are detected by sensors (1a-1d) during the operation of the object, and a Self-Organizing Map creating means (2) creates Self-Organizing Maps, which corresponds one to each of the operation modes and which serve as individual separation models, regarding detection data based on the detected combination of parameter values as learning data.
20 Citations
20 Claims
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1. An information processor of construction machinery, comprising:
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detecting means for detecting a multiplicity of combinations of n parameter values, where n is a natural number, for each of a plurality of operation modes in which an object functions, which values vary with operation of the construction machinery; and Self-Organizing Map creating means for calculating n values by transforming the n parameter values into its derivative, including variation rates of the n parameter values, which have been detected with respect to time and that indicate a variation in a momentary state of the object, and creating a Self-Organizing Map by using detection data, obtained on the basis of the multiple combinations of both n values and n parameter values detected by said detecting means, as learning data; wherein said Self-Organizing Map creating means creates a plurality of the Self-Organizing Maps, serving as individual separation models and corresponding one to each of the plurality of operation modes, wherein the operation modes are representative of the operation of the construction machinery, wherein said detecting means includes one or more sensors, and wherein the Self-Organizing Maps control the operation of the construction machinery for each of the construction machinery'"'"'s operation modes. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 19)
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10. An information processing method of construction machinery, comprising:
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detecting a multiplicity of combinations of n parameter values, where n is a natural number, for each of a plurality of operation modes in which an object functions, which values vary with operation of the construction machinery; calculating n values by transforming the n parameter values into its derivative, including variation rate of the n parameter values, which have been detected with respect to time and that indicate a variation in a momentary state of the object; and creating a Self-Organizing Map by using detection data, obtained on the basis of the multiple combinations of n parameter values detected in said step of detecting and n values calculated in said calculating step, as learning data, wherein, in said step of Self-Organizing-Map creating, a plurality of the Self-Organizing Maps, serving as individual separation models, are created one for each of the plurality of operation modes, wherein the operation modes are representative of the operation of the construction machinery, wherein, in said step of detecting, the multiple combinations of n parameter values are detected by one or more sensors, and wherein the Self-Organizing Maps control the operation of the construction machinery for each of the construction machinery'"'"'s operation modes. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18, 20)
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Specification