Intelligent agent system and method for evaluating data integrity in process information databases
First Claim
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1. A data integrity system for evaluating data in a process information database including data generated by a manufacturing process, said system comprising:
- an evaluation resource cooperatively associated with reference information, wherein the evaluation resource comprises a neural network and wherein the reference information comprises statistical patterns generated by the neural network for specifying patterns for the data being evaluated;
a processor, responsive to the reference information, for accessing the data in the process information database and for evaluating the accessed data according to the reference information, the processor identifying suspect data in the evaluated data; and
a modification subsystem responsive to the processor for modifying at least some of the suspect data in the process information database.
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Abstract
A data integrity module and method for evaluating data in a process information database. A neural network generates statistical patterns for specifying patterns for the data being evaluated. A fuzzy expert rules base specifies rules for evaluating the data. A processor, responsive to the rules base and the statistical patterns, identifies suspect data in the process information database by evaluating the data according to the rules base and the statistical patterns. A modification system modifies the suspect data in the process information database.
81 Citations
32 Claims
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1. A data integrity system for evaluating data in a process information database including data generated by a manufacturing process, said system comprising:
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an evaluation resource cooperatively associated with reference information, wherein the evaluation resource comprises a neural network and wherein the reference information comprises statistical patterns generated by the neural network for specifying patterns for the data being evaluated; a processor, responsive to the reference information, for accessing the data in the process information database and for evaluating the accessed data according to the reference information, the processor identifying suspect data in the evaluated data; and a modification subsystem responsive to the processor for modifying at least some of the suspect data in the process information database. - View Dependent Claims (2, 3, 4, 5)
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6. A data integrity system for evaluating data in a process information database including data generated by a manufacturing process, said system comprising:
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an evaluation resource cooperatively associated with reference information, wherein the reference information comprises a rules base specifying rules for evaluating the data; a processor, responsive to the reference information, for accessing the data in the process information database and for evaluating the accessed data according to the reference information, the processor identifying suspect data in the evaluated data; and a modification subsystem responsive to the processor for modifying at least some of the suspect data in the process information database.
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7. A data integrity module for evaluating data in a process information database including data generated by a manufacturing process, said module comprising:
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a neural network generating statistical patterns for specifying patterns for the data being evaluated; a rules base specifying rules for evaluating the data; a processor1 responsive to the rules base and the statistical patterns, for identifying suspect data in the process information database by evaluating the data according to the rules base and the statistical patterns; and modification system for modifying the suspect data in the process information database. - View Dependent Claims (8, 9, 10, 11, 12, 13, 14)
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15. In a system for manufacturing absorbent garments from raw material by a process implemented by a product line, wherein the system has a process information database of data relating to the process, the improvement comprising a data integrity module for evaluating the data in the process information database including data generated by a manufacturing process, said module comprising:
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a neural network generating statistical patterns for specifying patterns for the data being evaluated; a rules base specifying rules for evaluating the data; a processor, responsive to the rules base and the statistical patterns, for identifying suspect data in the process information database by evaluating the data according to the rules base and the statistical patterns; and a modification system for modifying the suspect data in the process information database. - View Dependent Claims (16, 17, 18, 19, 20, 21, 22)
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23. A method for evaluating data integrity in a process information database including data generated by a manufacturing process, said method comprising:
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providing reference information, wherein the reference information comprises statistical patterns generated by a neural network for specifying patterns for the data being evaluated; accessing the data in the process information database; evaluating the accessed data according to the reference information; identifying suspect data in the evaluated data; and modifying at least some of the suspect data in the process information database. - View Dependent Claims (24, 25, 26)
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27. A method for evaluating data integrity in a process information database including data generated by a manufacturing process, said method comprising:
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providing reference information, wherein the reference information comprises a rules base specifying rules for evaluating the data; accessing the data in the process information database; evaluating the accessed data according to the reference information; identifying suspect data in the evaluated data; and modifying at least some of the suspect data in the process information database.
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28. A method for evaluating data integrity in a process information database including data generated by a manufacturing process, said method comprising:
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providing reference information; accessing the data in the process information database; evaluating the accessed data according to the reference information; identifying suspect data in the evaluated data; modifying at least some of the suspect data in the process information database; and permitting a user to modify certain of the identified suspect data.
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29. A method for evaluating data integrity in a process information database including data generated by a manufacturing process, said method comprising:
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providing reference information; accessing the data in the process information database; evaluating the accessed data according to the reference information; identifying suspect data in the evaluated data; modifying at least some of the suspect data in the process information database; and marking evaluated data as one or more of the following;
suspect when its accuracy is inconsistent with the reference information, auto-corrected when suspect data has been corrected without user interventiont, user-corrected when the suspect data has been corrected by the user, and/or checked when its accuracy is consistent with the reference information. - View Dependent Claims (30, 31)
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32. A method for evaluating data integrity in a process information database including data generated by a manufacturing process, said method comprising:
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providing reference information; accessing the data in the process information database; evaluating the accessed data according to the reference information; identifying suspect data in the evaluated data; and modifying at least some of the suspect data in the process information database, wherein the process information database comprises one or more of the following;
a raw materials database, a waste and delay database, a productivity database, a quality database and a machine process database.
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Specification