초록 ▼

The present invention relates to a digitally implemented method for determining basement depths of 3-dimensional density interfaces from gridded gravity data, wherein density contrast above the interface is assumed to be varying parabolically with depth, the present invention method assumes a contin

The present invention relates to a digitally implemented method for determining basement depths of 3-dimensional density interfaces from gridded gravity data, wherein density contrast above the interface is assumed to be varying parabolically with depth, the present invention method assumes a continuous decrease in density contrast of sedimentary rocks with depth, a phenomena well observed all over the world.

대표청구항 ▼

The present invention relates to a digitally implemented method for determining basement depths of 3-dimensional density interfaces from gridded gravity data, wherein density contrast above the interface is assumed to be varying parabolically with depth, the present invention method assumes a contin

The present invention relates to a digitally implemented method for determining basement depths of 3-dimensional density interfaces from gridded gravity data, wherein density contrast above the interface is assumed to be varying parabolically with depth, the present invention method assumes a continuous decrease in density contrast of sedimentary rocks with depth, a phenomena well observed all over the world. s detected; and said abnormality processing object includes a first counter for counting occurrences of the lamp-illumination flag and the normality-determination flag with respect to each of said plurality of abnormality-detection objects, and for counting a count number of lamp-illumination flag settings, a second counter for counting a count number of the normality-determination flag settings, said abnormality processing object for determining whether lamp illumination is to be performed by comparing the count number from said first counter and the count number from said second counter. 5. The diagnostic apparatus of claim 4, further comprising a resetting device for resetting said second counter until one of after determination of whether lamp illumination is to be performed by said abnormality processing object, and after count-processing by said first and second counter. 6. The diagnostic apparatus of claim 4, wherein count processing by said first and second counters is performed for each lamp to be illuminated, and each of said plurality of abnormality-detection objects is provided with data relating to illumination of each of said lamps. 7. A vehicle controller diagnostic apparatus, comprising: a plurality of abnormality-detection objects each associated with a detection target, each of said objects having an abnormality-detection program for detecting a target abnormality, and a first storing portion for storing a plurality of abnormality flags and a second data-storing portion for storing data showing what is to be done when an abnormality is detected; and an abnormality processing object for performing abnormality-occurrence processing independently of the plurality of abnormality-detection objects for indicating occurrence of said target abnormality based on said flags in said first storing portion of each said abnormality-detection objects; wherein said plurality of abnormality-detection objects set an abnormality-occurrence flag indicating said occurrence of said target abnormalities during abnormality detection in said first storing portion, and set a normality-determination flag indicating results of normality determinations in said first storing portion, said abnormality-occurrence flag and said normality-determination flag being revised by using data stored in said second data-storing portion; and said abnormality processing object including a first counter for investigating the abnormality-occurrence flag and the normality-determination flag with respect to a plurality of abnormality-detection objects and for counting a number of settings of the abnormality-occurrence flag, a second counter for counting a number of settings of both the abnormality-occurrence flag and the normality-determination flag, said abnormality processing object determining whether abnormality-indicating signals are to be generated for each of said abnormality targets by comparing count numbers from said first and second counters from each of said corresponding abnormality-detection objects. 8. The diagnostic apparatus of claim 7, wherein said abnormality processing object generates said abnormality-indicating signals for illuminating corresponding abnormality-indicating lamps based on a comparison of said corresponding first and second counters, and further comprising a delay device for delaying resetting of said abnormality processing object until after one of a determination by said abnormality processing object of whether to generate said abnormality-indicating signals, and after count-processing execution by said first and second counters in each of said plurality of abnormality-detection objects. 9. The diagnostic apparatus of claim 7, wherein count processing by said first and second counters is performed for abnormality-indicating signals to be generated, and said plurality of abnormality-detection objects are each provided with abnormality signal-related data. 10. The diagnostic apparatus of claim 7, further compri sing an abnormality-verification object for determining, irrespective of a number of said plurality of abnormality-detection objects, whether abnormality-detection results from each of said plurality of abnormality-detection objects are valid based on the data stored in said data-storing portion. 11. An object-oriented based method of detecting an abnormality in a motor vehicle engine controller, comprising the steps of: monitoring a number of abnormality targets to detect abnormality occurrences there at; verifying at a single location, independent from the abnormality targets, the abnormality occurrences when the abnormality occurrences are detected at the abnormality targets; processing at a single location, independent from the abnormality targets, abnormality-detection results generated during the steps of monitoring and verifying to determine whether abnormality-indicating signals should be generated; and wherein the step of verifying comprises: determining if abnormality conditions at an abnormality target have been fulfilled based on information generated during the step of monitoring; abnormality processing information indicating what should be done during an abnormality occurrence is stored in a second data-storing portion; flags are stored in the first data-storing portion to execute the abnormality occurrence processing information; wherein said processing step is performed by an abnormality processing object based on flags stored in said first data-storing portion; and wherein said steps of verifying and processing being performed independently of the number of abnormality targets being monitored. 12. The method of claim 11, further comprising: providing abnormality indicating signal information during said step of monitoring; and generating abnormality-indicating signals, based on said abnormality-indicating information during said step of processing, in a manner independent of the number of abnormality targets being monitored. 13. The method of claim 11, further comprising: modifying the number of abnormality targets monitored during the step of monitoring; and maintaining the steps of verifying and processing even after the step of modifying has been completed. 14. The method of claim 11, wherein the step of verifying comprises: comparing the flags to a previously-generated flag to determine if a flag state has changed. 15. The method of claim 14, further comprising the step of copying the flags to an abnormality-code flag and to an abnormality signal flag when the flag state has changed. 16. The method of claim 14, further comprising the step of performing the step of verifying for each of said plurality of abnormality targets. 17. The method of claim 16, wherein said step of processing further comprises determining if the abnormality signals should be generated for any of said plurality of abnormality targets only after said step of performing is completed. 18. The method of claim 17, wherein said step of processing further comprises comparing a number of counted abnormalities to a number of counted recoveries from abnormalities during a predetermined time period to determine if the abnormality signals should be generated. 19. The diagnostic apparatus of claim 1, wherein said abnormality processing object is common to at least two of the abnormality-detection objects. 20. The diagnostic apparatus of claim 4, wherein said abnormality processing object is common to at least two of the abnormality-detection objects. 21. The diagnostic apparatus of claim 7, wherein said abnormality processing object is common to at least two of the abnormality-detection objects. 22. The method of claim 11 wherein said processing step is common to at least two abnormality targets.