CN105024765A - Method and device for quickly positioning fault of indoor antenna distribution system - Google Patents

Abstract

The invention provides a method and a device for quickly positioning a fault of an indoor antenna distribution system. The method comprises the following steps: acquiring a coefficient of correlation between the wireless network index and the indoor antenna distribution system fault at the same time; acquiring an index set of the indoor antenna distribution system fault according to the acquired coefficient of correlation; acquiring the threshold values of five grades of color scales corresponding to the indoor antenna distribution system fault according to a box-and-whisker plot index threshold determining method; and determining the chromatograph of the indoor antenna distribution system fault according to the determined index set and the threshold values. By adopting the scheme, the accuracy rate of indoor antenna distribution system fault positioning is high, and the work efficiency is high.

Description

A kind of domestic aerial compartment system failure fast positioning method and device

Technical field

The present invention relates to field of wireless, particularly a kind of domestic aerial compartment system failure fast positioning method and device.

Background technology

Domestic aerial compartment system is for indoor user group, for improving the successful scheme of the one of mobile communication environment in building; Be utilize domestic aerial that the signal of mobile base station is evenly distributed on indoor every nook and cranny, thus ensure that room area has desirable quorum sensing inhibitor.

Along with the rapid growth of the development of China Mobile 2,3G network and indoor speech, data service flow, indoor distributed system has become and absorbs telephone traffic, solves the degree of depth and cover and promote the Main Means that user experiences, and is the important component part of mobile network.Relate to multiple links such as planning, construction, examination, optimization, maintenance due to room subsystem, the setting of base station information source, active equipment, passive device, antenna-feedback system and Optimal Parameters all can impact the quality of room subnetwork.

The discovery of current domestic aerial compartment system fault, mainly adopts the processing method of " passive response ".Customer complaint is the most direct problem feedback, user arch-rival machine no signal, (covering) cannot be connected, talk about of poor quality, the different reason such as call drop is complained, just because of the kind complained is many and complete, the analyzing and processing of therefore customer complaint information is also perfect important in means of network quality, as shown in Figure 1, customer complaint process generally adopts following flow process to help orientation problem.

Existing domestic aerial compartment system fault discovery is mainly by customer complaint " passive response ", there is larger hysteresis quality, and when orientation room's internal antenna compartment system fault, be that the method judged by serial is carried out, operating efficiency is lower, subjective value is strong, and accuracy rate is low.

Summary of the invention

The technical problem to be solved in the present invention is to provide a kind of domestic aerial compartment system failure fast positioning method and device, and indoor positioning problems accuracy rate is high, and operating efficiency is high.

In order to solve the problems of the technologies described above, the invention provides a kind of domestic aerial compartment system failure fast positioning method, comprising:

Obtain the coefficient correlation that wireless network index and domestic aerial compartment system fault occur under the same time;

According to the described coefficient correlation got, obtain the index set of domestic aerial compartment system fault;

According to box palpus figure criteria thresholds determination method, obtain the threshold value of Pyatyi colour code corresponding to described domestic aerial compartment system fault indices;

According to the described index set determined and described threshold value, determine the chromatogram of described domestic aerial compartment system fault.

Wherein, described domestic aerial compartment system failure fast positioning method, also comprises:

After obtaining a certain domestic aerial compartment system fault, determine according to described chromatogram the color that described fault is corresponding, and show described color.

Wherein, the step obtaining the coefficient correlation that wireless network index and fault occur under the same time comprises:

Adopt following computing formula:

$r_{\mathrm{xy}}=\frac{{\mathrm{\Σ}}_{i=1}^N(X_i-\stackrel{\‾}{X})(Y_i-\stackrel{\‾}{Y})}{\sqrt{{\mathrm{\Σ}}_{i=1}^N{(X_i-\stackrel{\‾}{X})}^2}\sqrt{{\mathrm{\Σ}}_{i=1}^N{(Y_i-\stackrel{\‾}{Y})}^2}},$ Obtain described coefficient correlation;

Wherein, described r is coefficient correlation, and wherein N is the number of variable-value;

Described X=(x1, x2, x3 ..., xn) and be the index of the corresponding time series wireless network in Shi Fen community;

Described Y=(y1, y2, y3 ..., yn) and be the fault occurrence sequence of domestic aerial compartment system, wherein, Y _i=0 or 1, work as Y _iwhen=0, represent and do not break down, work as Y _iwhen=1, expression is broken down.

Wherein, the step obtaining the index set of domestic aerial compartment system fault comprises:

According to the described correlation coefficient r acquired, when | when r| is greater than a preset value, then network index corresponding for now r value is defined as the index of described domestic aerial compartment system fault.

Wherein, described preset value is 0.5.

Wherein, according to box palpus figure criteria thresholds determination method, the step obtaining the threshold value of Pyatyi colour code corresponding to described domestic aerial compartment system fault indices comprises:

Obtain the performance data group of described domestic aerial compartment system fault map network index;

According to the described data group got, obtain the upper quartile of described data group, median, lower quartile, top edge, lower limb and exceptional value.

Wherein, the division of described thresholding comprises:

First thresholding is interval: upper quartile <X≤top edge;

Second thresholding is interval: median <X≤upper quartile;

3rd thresholding is interval: lower quartile <X≤median;

4th thresholding is interval: lower limb <X≤lower quartile;

5th thresholding is interval: exceptional value <X≤lower limb.

In addition, present invention also offers a kind of domestic aerial compartment system fault fast positioning device, comprising:

First acquisition module, for obtaining the coefficient correlation that wireless network index and domestic aerial compartment system fault occur under the same time;

Second acquisition module, for according to the described coefficient correlation got, obtains the index set of domestic aerial compartment system fault;

3rd acquisition module, for according to box palpus figure criteria thresholds determination method, obtains the threshold value of Pyatyi colour code corresponding to described domestic aerial compartment system fault indices;

Determination module, for according to the described index set determined and described threshold value, determines the chromatogram of described domestic aerial compartment system fault.

Display module, after obtaining a certain domestic aerial compartment system fault, determines according to described chromatogram the color that described fault is corresponding, and shows described color.

Wherein, the step obtaining the coefficient correlation that wireless network index and domestic aerial compartment system fault occur under the same time in the first acquisition module comprises:

$r_{\mathrm{xy}}=\frac{{\mathrm{\&Sigma;}}_{i=1}^N(X_i-\stackrel{\&OverBar;}{X})(Y_i-\stackrel{\&OverBar;}{Y})}{\sqrt{{\mathrm{\&Sigma;}}_{i=1}^N{(X_i-\stackrel{\&OverBar;}{X})}^2}\sqrt{{\mathrm{\&Sigma;}}_{i=1}^N{(Y_i-\stackrel{\&OverBar;}{Y})}^2}},$ Obtain described coefficient correlation;

Wherein, described r is coefficient correlation, and wherein N is the number of variable-value;

Described X=(x1, x2, x3 ..., xn) and be the index of the corresponding time series wireless network in Shi Fen community;

Described Y=(y1, y2, y3 ..., yn) and be the fault occurrence sequence of domestic aerial compartment system, wherein, Y _i=0/1, work as Y _iwhen=0, represent and do not break down, work as Y _iwhen=1, expression is broken down.

Wherein, the step obtaining the index set of domestic aerial compartment system fault in described second acquisition module comprises:

According to the described correlation coefficient r acquired, when | when r| is greater than a preset value, then network index corresponding for now r value is defined as the index of described domestic aerial compartment system fault.

Wherein, described preset value is 0.5.

Wherein, according to box palpus figure criteria thresholds determination method in described 3rd acquisition module, the step obtaining the threshold value of Pyatyi colour code corresponding to described domestic aerial compartment system fault indices comprises:

Obtain the performance data group of described domestic aerial compartment system fault map network index;

According to the described data group got, obtain the upper quartile of described data group, median, lower quartile, top edge, lower limb and exceptional value.

The beneficial effect of technique scheme of the present invention is as follows:

In such scheme, domestic aerial compartment system fault is classified as multiple, data relation analysis method is utilized to lock the strong coupling index collection of each domestic aerial compartment system fault, and according to box palpus figure method determination Pyatyi criteria thresholds, formulate a kind of domestic aerial compartment system fault fast positioning algorithm based on chromatogram identification, realize the quick position of domestic aerial compartment system fault, there is positioning problems accuracy rate high, and the technological merit that operating efficiency is high.

Accompanying drawing explanation

Fig. 1 represents that the flow chart of process problem is safeguarded in existing customer complaint;

Fig. 2 represents the flow chart of domestic aerial compartment system failure fast positioning method in the embodiment of the present invention;

Fig. 3 represents the composition frame chart of domestic aerial compartment system fault fast positioning device in the embodiment of the present invention;

Fig. 4 represents the schematic diagram of drawing box palpus figure in the embodiment of the present invention;

Fig. 5 represents the schematic diagram of the application of domestic aerial compartment system fault chromatogram in the embodiment of the present invention.

Embodiment

For making the technical problem to be solved in the present invention, technical scheme and advantage clearly, be described in detail below in conjunction with the accompanying drawings and the specific embodiments.

The present invention is directed to existing domestic aerial compartment system fault mainly by customer complaint " passive response ", there is larger hysteresis quality, and when orientation room's internal antenna compartment system fault, that the method judged by serial is carried out, inefficiency, subjective value are strong, the problem that accuracy rate is low, provides a kind of domestic aerial compartment system failure fast positioning method and device.

As shown in Figure 2, the embodiment of the present invention provides a kind of domestic aerial compartment system failure fast positioning method, comprising:

Step S11: obtain the coefficient correlation that wireless network index and domestic aerial compartment system fault occur under the same time;

Step S12: according to the described coefficient correlation got, obtains the index of domestic aerial compartment system fault

Collection;

Step S13: according to box palpus figure criteria thresholds determination method, obtain the threshold value of Pyatyi colour code corresponding to described domestic aerial compartment system fault indices;

Above-mentioned box figure and box-shaped figure, box-shaped figure (Box-plot) must be also called box palpus figure, boxlike figure or box traction substation, is a kind of statistical chart being used as display one group of data scatter situation data.

Step S14: according to the described index set determined and described threshold value, determines the chromatogram of described domestic aerial compartment system fault.

Wherein, described domestic aerial compartment system failure fast positioning method, also comprises:

After obtaining a certain domestic aerial compartment system fault, determine according to described chromatogram the color that described fault is corresponding, and show described color.

Should be noted that, the wireless network index characterizing indoor distribution community has a lot, when Dan Shifen community goes wrong, worsening all can appear in not all index, whether go wrong to weigh Shi Fen community for selecting reasonable index, introduce correlation coefficient r, this correlation coefficient r is the index of linear correlation degree between measurement two stochastic variables, and the step namely obtaining the coefficient correlation that wireless network index and fault occur under the same time comprises:

Adopt following computing formula:

$r_{\mathrm{xy}}=\frac{{\mathrm{\&Sigma;}}_{i=1}^N(X_i-\stackrel{\&OverBar;}{X})(Y_i-\stackrel{\&OverBar;}{Y})}{\sqrt{{\mathrm{\&Sigma;}}_{i=1}^N{(X_i-\stackrel{\&OverBar;}{X})}^2}\sqrt{{\mathrm{\&Sigma;}}_{i=1}^N{(Y_i-\stackrel{\&OverBar;}{Y})}^2}},$ Obtain described coefficient correlation;

Wherein, the span of r is [-1,1], and r>0 represents positive correlation, and r<0 represents negative correlation, | r| illustrates the height of degree of correlation between variable.Distinguishingly, r=1 is called perfect positive correlation, and r=-1 is called perfect negative correlation, and r=0 is called uncorrelated, and wherein N is the number of variable-value;

Described X=(x1, x2, x3 ..., xn) and be the index of the corresponding time series wireless network in Shi Fen community;

Described Y=(y1, y2, y3 ..., yn) and be the fault occurrence sequence of domestic aerial compartment system, wherein, Y _i=0 or 1, work as Y _iwhen=0, represent and do not break down, work as Y _iwhen=1, expression is broken down.

That is, the step obtaining the index set of domestic aerial compartment system fault comprises:

When | when r| is greater than a preset value, think that X and Y Two Variables has very strong linear dependence, then network index corresponding for now r value is defined as the index of described domestic aerial compartment system fault, such as indoor association adjacent cell number, outdoor association adjacent cell number, wireless access, descending 6,7 grades of matter difference accounting etc., these indexs are classified as index set, and in the present embodiment, preset value can be 0.5 in addition.

Wherein, according to box palpus figure criteria thresholds determination method, the step obtaining the threshold value of Pyatyi colour code corresponding to described domestic aerial compartment system fault indices comprises:

Obtain the performance data group of described domestic aerial compartment system fault map network index;

According to the described data group got, obtain the upper quartile of described data group, median, lower quartile, top edge, lower limb and exceptional value.

Wherein, the division of described thresholding comprises:

First thresholding is interval: upper quartile <X≤top edge;

Second thresholding is interval: median <X≤upper quartile;

3rd thresholding is interval: lower quartile <X≤median;

4th thresholding is interval: lower limb <X≤lower quartile;

5th thresholding is interval: exceptional value <X≤lower limb.

In such scheme, data relation analysis method is utilized to lock the strong coupling index collection of each domestic aerial compartment system fault, and according to box palpus figure method determination Pyatyi criteria thresholds, formulate a kind of domestic aerial compartment system fault fast positioning algorithm based on chromatogram identification, realize the quick position of domestic aerial compartment system fault, there is positioning problems accuracy rate high, and the technological merit that operating efficiency is high.

As shown in Figure 3, the embodiment of the present invention additionally provides a kind of domestic aerial compartment system fault fast positioning device, comprising:

First acquisition module 301, for obtaining the coefficient correlation that wireless network index and domestic aerial compartment system fault occur under the same time;

Second acquisition module 302, for according to the described coefficient correlation got, obtains the index set of domestic aerial compartment system fault;

3rd acquisition module 303, for according to box palpus figure criteria thresholds determination method, obtains the threshold value of Pyatyi colour code corresponding to described domestic aerial compartment system fault indices;

Determination module 304, for according to the described index set determined and described threshold value, determines the chromatogram of described domestic aerial compartment system fault.

Display module 305, after obtaining a certain domestic aerial compartment system fault, determines according to described chromatogram the color that described fault is corresponding, and shows described color.

Wherein, the step obtaining the coefficient correlation that wireless network index and domestic aerial compartment system fault occur under the same time in the first acquisition module 301 comprises:

$r_{\mathrm{xy}}=\frac{{\mathrm{\&Sigma;}}_{i=1}^N(X_i-\stackrel{\&OverBar;}{X})(Y_i-\stackrel{\&OverBar;}{Y})}{\sqrt{{\mathrm{\&Sigma;}}_{i=1}^N{(X_i-\stackrel{\&OverBar;}{X})}^2}\sqrt{{\mathrm{\&Sigma;}}_{i=1}^N{(Y_i-\stackrel{\&OverBar;}{Y})}^2}},$ Obtain described coefficient correlation;

Wherein, described r is coefficient correlation, and wherein N is the number of variable-value;

Described X=(x1, x2, x3 ..., xn) and be the index of the corresponding time series wireless network in Shi Fen community;

Described Y=(y1, y2, y3 ..., yn) and be the fault occurrence sequence of domestic aerial compartment system, wherein, Y _i=0/1, work as Y _iwhen=0, represent and do not break down, work as Y _iwhen=1, expression is broken down.

Wherein, the step obtaining the index set of domestic aerial compartment system fault in described second acquisition module 302 comprises:

According to the described correlation coefficient r acquired, when | during r|>0.5, then network index corresponding for now r value is defined as the index of described domestic aerial compartment system fault.

Wherein, according to box palpus figure criteria thresholds determination method in described 3rd acquisition module 303, the step obtaining the threshold value of Pyatyi colour code corresponding to described domestic aerial compartment system fault indices comprises:

Obtain the performance data group of described domestic aerial compartment system fault map network index;

According to the described data group got, obtain the upper quartile of described data group, median, lower quartile, top edge, lower limb and exceptional value.

Particularly, the drafting of box palpus figure relies on real data, does not need prior tentation data to obey specific distribution form, and not to the requirement of imposing any restrictions property of data, it is the style of true representation of data shape intuitively; On the other hand, box must judge that the standard of exceptional value is based on quartile and interquartile-range IQR by figure, quartile has certain resistance, nearly the data of 25% can become far away arbitrarily and can not disturbance quartile greatly, so exceptional value can not be exerted one's influence to this standard, box must identify that the results contrast of exceptional value is objective by figure.As can be seen here, box must have certain superiority by figure in identification exceptional value.

As shown in Figure 4, denote the implication that in figure, every bar line represents, be wherein applied to the concept of tantile (number).Mainly comprise six back end, one group of data is arranged from big to small, calculates his top edge respectively, upper quartile, median, lower quartile, lower limb, also have a minimum exceptional value.Box must provide a kind of use 5 points do simple summary mode to data set by figure.These 5 points comprise mid point, Q1(upper quartile), Q3(lower quartile), the high position of branch's state and low level.Box must centered by very vivid point of figure, extend and the four corner of branch's state.The most important thing is the calculating to ASSOCIATE STATISTICS point in box palpus figure, ASSOCIATE STATISTICS point can be realized by hundredths computational methods.The plot step of box palpus figure:

1. draw number axis, linear module size is consistent with the unit of batch, and starting point is slightly less than minimum value, and length is slightly longer than the range of this batch.

2. draw a rectangular box, the position on limit, two ends is the upper lower quartile (Q1 and Q3) criticized of corresponding data respectively, and drawing a line segment in inner median (Xm) position of rectangular box is neutrality line.

3. at Q3+1.5IQR(range interquartile) line segment the same with neutrality line with two, Q1-1.5IQR place picture, these two line segments are exceptional value point of cut-off, are called interior limit; At Q3+3IQR and Q1-3IQR place picture two line segments, be called outer limit.Being in interior limit with the data that the point of external position represents is all exceptional value, exceptional value wherein between interior limit and outer limit is gentle exceptional value (mild outliers), outside beyond limit is extreme exceptional value (extreme outliers), range interquartile QR=Q3-Q1.

4. outwards respectively draw a line segment until be not the solstics of exceptional value from limit, rectangular box two ends, represent the distributed area of this batch data normal value.

5. mark gentle exceptional value with " 〇 ", mark extreme exceptional value with " * ".The data point of identical value marks side by side and is set up at same data line bit, and the data point of different value is marked on different pieces of information line position, and so far the box of a batch data must just depict by figure.The box that statistical software is drawn generally must not mark interior limit and outer limit by figure.

Must figure by box, finally can agriculture products thresholding interval:

Fine: bottle green, upper quartile < X≤top edge;

Better: light green color, median < X≤upper quartile;

General: yellow, lower quartile < X≤median;

Poor: orange, lower limb < X≤lower quartile;

Very poor: red, (minimum) exceptional value≤X≤lower limb.

What should remark additionally is, according to the process experience that commodity network is optimized, domestic aerial compartment system fault is classified as weak covering problem, high interference problem, signal leaks and mistake covering problem, the large type of the unreasonable problem five of optimum configurations, totally 45 kinds of common domestic aerial compartment system faults, as shown in the table:

The present embodiment illustrates for " room sub-signal leak problem " the index collection of illustrative plates process of establishing that all kinds of most common failure is corresponding, first utilize incidence coefficient index to select principle, the index set locking this problem is: descending 6,7 grades of matter difference accounting, wireless access, descending lower than-94DBm signal proportion, redundant cover coefficient, outdoor association adjacent cell number, outdoor association adjacent cell number.Then, according to box palpus figure criteria thresholds determination method, the threshold value of Pyatyi colour code is divided.Finally make " covering of high-rise antenna air exercise cause signal leak problem " corresponding index collection of illustrative plates as shown in the table:

Room sub-signal leaks index chromatogram

As shown in Figure 5, according to the strong coupling index collection choosing domestic aerial compartment system fault in embodiment, then the method for agriculture products thresholding, formulate above-mentioned 45 kinds of common domestic aerial compartment system fault chromatograms, and be applied in actual radio network optimization routine work, by abundant optimization case, constantly revise domestic aerial compartment system fault chromatogram, improve the accuracy of positioning problems.

Existing domestic aerial compartment system fault discovery mainly by customer complaint " passive response ", has larger hysteresis quality, and when orientation room's internal antenna compartment system fault, that the method judged by serial is carried out, operating efficiency is lower, and subjective value is strong, and accuracy rate is lower.Domestic aerial compartment system fault is sorted out and is gathered by the application's motion, excavates the common trait of same problems, sets up scientific and reasonable red, orange, green, blue, yellow (ROGBY), realize the quick position of domestic aerial compartment system fault.Compared with prior art, there is positioning problems accuracy rate high, operating efficiency high-technology advantage.

The above embodiment of the present invention, domestic aerial compartment system fault is classified as multiple, data relation analysis method is utilized to lock the strong coupling index collection of each domestic aerial compartment system fault, and according to box palpus figure method determination Pyatyi criteria thresholds, formulate a kind of domestic aerial compartment system fault fast positioning algorithm based on chromatogram identification, realize the quick position of domestic aerial compartment system fault, there is positioning problems accuracy rate high, and the technological merit that operating efficiency is high.

Above-described is the preferred embodiment of the present invention; should be understood that the ordinary person for the art; not departing under principle prerequisite of the present invention, can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.

Claims (13)

1. a domestic aerial compartment system failure fast positioning method, is characterized in that, comprising:

Obtain the coefficient correlation that wireless network index and domestic aerial compartment system fault occur under the same time;

According to the described coefficient correlation got, obtain the index set of domestic aerial compartment system fault;

According to box palpus figure criteria thresholds determination method, obtain the threshold value of Pyatyi colour code corresponding to described domestic aerial compartment system fault indices;

According to the described index set determined and described threshold value, determine the chromatogram of described domestic aerial compartment system fault.

2. domestic aerial compartment system failure fast positioning method according to claim 1, is characterized in that, also comprise:

After obtaining a certain domestic aerial compartment system fault, determine according to described chromatogram the color that described fault is corresponding, and show described color.

3. domestic aerial compartment system failure fast positioning method according to claim 1, is characterized in that, the step obtaining the coefficient correlation that wireless network index and fault occur under the same time comprises:

Adopt following computing formula:

$r_{\mathrm{xy}}=\frac{{\mathrm{\&Sigma;}}_{i=1}^N(X_i-\stackrel{\&OverBar;}{X})(Y_i-\stackrel{\&OverBar;}{Y})}{\sqrt{{\mathrm{\&Sigma;}}_{i=1}^N{(X_i-\stackrel{\&OverBar;}{X})}^2}\sqrt{{\mathrm{\&Sigma;}}_{i=1}^N{(Y_i-\stackrel{\&OverBar;}{Y})}^2}},$ Obtain described coefficient correlation;

Wherein, described r is coefficient correlation, and wherein N is the number of variable-value;

Described X=(x1, x2, x3 ..., xn) and be the index of the corresponding time series wireless network in Shi Fen community;

Described Y=(y1, y2, y3 ..., yn) and be the fault occurrence sequence of domestic aerial compartment system, wherein, Y _i=0 or 1, work as Y _iwhen=0, represent and do not break down, work as Y _iwhen=1, expression is broken down.

4. domestic aerial compartment system failure fast positioning method according to claim 3, is characterized in that, the step obtaining the index set of domestic aerial compartment system fault comprises:

According to the described correlation coefficient r acquired, when | when r| is greater than a preset value, then network index corresponding for now r value is defined as the index of described domestic aerial compartment system fault.

5. domestic aerial compartment system failure fast positioning method according to claim 4, is characterized in that, described preset value is 0.5.

6. domestic aerial compartment system failure fast positioning method according to claim 1, is characterized in that, according to box palpus figure criteria thresholds determination method, the step obtaining the threshold value of Pyatyi colour code corresponding to described domestic aerial compartment system fault indices comprises:

Obtain the performance data group of described domestic aerial compartment system fault map network index;

According to the described data group got, obtain the upper quartile of described data group, median, lower quartile, top edge, lower limb and exceptional value.

7. domestic aerial compartment system failure fast positioning method according to claim 6, it is characterized in that, the division of described thresholding comprises:

First thresholding is interval: upper quartile <X≤top edge;

Second thresholding is interval: median <X≤upper quartile;

3rd thresholding is interval: lower quartile <X≤median;

4th thresholding is interval: lower limb <X≤lower quartile;

5th thresholding is interval: exceptional value <X≤lower limb.

8. a domestic aerial compartment system fault fast positioning device, is characterized in that, comprising:

First acquisition module, for obtaining the coefficient correlation that wireless network index and domestic aerial compartment system fault occur under the same time;

Second acquisition module, for according to the described coefficient correlation got, obtains the index set of domestic aerial compartment system fault;

3rd acquisition module, for according to box palpus figure criteria thresholds determination method, obtains the threshold value of Pyatyi colour code corresponding to described domestic aerial compartment system fault indices;

Determination module, for according to the described index set determined and described threshold value, determines the chromatogram of described domestic aerial compartment system fault.

9. domestic aerial compartment system fault fast positioning device according to claim 8, is characterized in that, also comprise:

Display module, after obtaining a certain domestic aerial compartment system fault, determines according to described chromatogram the color that described fault is corresponding, and shows described color.

10. domestic aerial compartment system fault fast positioning device according to claim 8, is characterized in that, the step obtaining the coefficient correlation that wireless network index and domestic aerial compartment system fault occur under the same time in the first acquisition module comprises:

$r_{\mathrm{xy}}=\frac{{\mathrm{\&Sigma;}}_{i=1}^N(X_i-\stackrel{\&OverBar;}{X})(Y_i-\stackrel{\&OverBar;}{Y})}{\sqrt{{\mathrm{\&Sigma;}}_{i=1}^N{(X_i-\stackrel{\&OverBar;}{X})}^2}\sqrt{{\mathrm{\&Sigma;}}_{i=1}^N{(Y_i-\stackrel{\&OverBar;}{Y})}^2}},$ Obtain described coefficient correlation;

Wherein, described r is coefficient correlation, and wherein N is the number of variable-value;

Described X=(x1, x2, x3 ..., xn) and be the index of the corresponding time series wireless network in Shi Fen community;

Described Y=(y1, y2, y3 ..., yn) and be the fault occurrence sequence of domestic aerial compartment system, wherein, Y _i=0/1, work as Y _iwhen=0, represent and do not break down, work as Y _iwhen=1, expression is broken down.

11. domestic aerial compartment system fault fast positioning devices according to claim 10, is characterized in that, according to the described coefficient correlation got in described second acquisition module, the step obtaining the index set of domestic aerial compartment system fault comprises:

According to the described correlation coefficient r acquired, when | when r| is greater than a preset value, then network index corresponding for now r value is defined as the index of described domestic aerial compartment system fault.

12. domestic aerial compartment system fault fast positioning devices according to claim 11, it is characterized in that, described preset value is 0.5.

13. domestic aerial compartment system fault fast positioning devices according to claim 8, it is characterized in that, according to box palpus figure criteria thresholds determination method in described 3rd acquisition module, the step obtaining the threshold value of Pyatyi colour code corresponding to described domestic aerial compartment system fault indices comprises:

Obtain the performance data group of described domestic aerial compartment system fault map network index;

According to the described data group got, obtain the upper quartile of described data group, median, lower quartile, top edge, lower limb and exceptional value.