Method for visualisation of status data in an electronic system

1. A computer-implemented method for facilitating visualisation of status data in an electronic system, the status data comprising metadata, the metadata including a plurality of information context categories, and data nodes, each data node including specific instances of an information context category, the method comprising:

selecting, by a computer, all possible data combinations and permutations of the information context categories, each data combination and permutation defining a respective hierarchy; and

for the each data combination and permutation performing by said computer:

estimating information content of data for each node of the respective hierarchy;

finding an informative tree corresponding to the respective hierarchy;

finding total entropy for all informative nodes in the informative tree; and

presenting a data combination and permutation corresponding to the informative tree with a lowest total entropy to the user.

2. The method of claim 1 , wherein the estimating information content of data for each node of the respective hierarchy comprises:

using electronic system data history analysis to establish historical set point patterns in measurement time series; and

computing a deviation of set point patterns in a current time series from the historical set point patterns.

3. The method of claim 2 , wherein the using electronic system data history analysis to establish historical set point patterns in measurement time series, includes:

observing behaviour of data over representative periods of activity/time; and

filtering spontaneous variations observed in the data.

4. The method of claim 3 , wherein the filtering comprises:

using frequency domain and optimization techniques to find regularity;

using any detected regularity to form patterns; and

storing the patterns as one or more rules.

5. The method of claim 4 , wherein the formed patterns are time-based.

6. The method of claim 2 , wherein the computing the deviation of the set point patterns in current time series from the historical set point patterns, includes:

using stored patterns and current patterns to estimate a distance measure;

finding a node where the distance measure is the largest; and

computing running statistics to invoke incremental pattern adaptation.

7. A computer system for facilitating visualisation of status data in an electronic system, the status data comprising metadata, the metadata including a plurality of information context categories, and data nodes, each data node including specific instances of an information context category, the system comprising:

a memory for storing the status data; and

a processor configured to:

select all possible data combinations and permutations of the information context categories, each data combination and permutation defining a respective hierarchy; and

for the each data combination and permutation,

estimate information content of data for each node of the respective hierarchy;

find an informative tree corresponding to the respective hierarchy;

find total entropy for all informative nodes in the informative tree;

and

present a data combination and permutation informative corresponding to the informative tree with a lowest total entropy to the user.

8. The system of claim 7 wherein the estimate of the information content of data for each node of the respective hierarchy comprises:

using electronic system data history analysis to establish historical set point patterns in measurement time series; and

computing a deviation of set point patterns in a current time series from the historical set point patterns.

9. The system of claim 8 , wherein the using electronic system data history analysis to establish historical set point patterns in measurement time series comprises:

observing behaviour of data over representative periods of activity/time; and

filtering spontaneous variations observed in the data.

10. The system of claim 9 wherein filtering comprises:

using frequency domain and optimization techniques to find regularity;

using any detected regularity to form patterns; and

storing the patterns as one or more rules.

11. The system of claim 10 , wherein the formed patterns are time-based.

12. The system of claim 8 , wherein the computing the deviation of the set point patterns in current time series from the historical set point patterns comprises:

using stored patterns and current patterns to estimate a distance measure;

finding a node where the distance measure is the largest; and

computing running statistics to invoke incremental pattern adaptation.

13. A computer program storage medium readable by computer, tangibly embodying a program of instructions executable by said computer for effecting a method for facilitating visualisation of status data in an electronic system, the status data comprising metadata, the metadata including a plurality of information context categories, and data nodes, each data node including specific instances of an information context category, the method comprising:

selecting all possible data combinations and permutations of the information context categories, each data combination and permutation defining a respective hierarchy; and

for the each data combination and permutation performing:

estimating information content of data for each node of the respective hierarchy;

finding an informative tree corresponding to the respective hierarchy;

finding total entropy for all informative nodes in the informative tree; and

presenting a data combination and permutation corresponding to the informative tree with a lowest total entropy to the user.