CN107734478B - Method and device for judging validity of indoor communication network test - Google Patents
Method and device for judging validity of indoor communication network test Download PDFInfo
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- CN107734478B CN107734478B CN201710867765.9A CN201710867765A CN107734478B CN 107734478 B CN107734478 B CN 107734478B CN 201710867765 A CN201710867765 A CN 201710867765A CN 107734478 B CN107734478 B CN 107734478B
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Abstract
The invention discloses a method and a device for judging the effectiveness of an indoor communication network test. The method comprises the following steps: acquiring sensor test data time-synchronized with manual dotting data from output data of a position sensor when the manual dotting data corresponding to an indoor communication network test point are acquired; calculating angle change characteristics between connecting lines of adjacent test points according to manual dotting data and sensor test data respectively, and performing angle synchronous change correlation calculation according to the angle change characteristics to obtain correlation coefficients; judging whether the correlation coefficient is larger than a set correlation coefficient threshold value or not, and judging that the indoor communication network test is effective when the correlation coefficient is larger than the correlation coefficient threshold value; and when the correlation coefficient is smaller than the correlation coefficient threshold value, judging that the indoor communication network test is invalid. The invention combines the position sensing technology and the mobile communication network testing technology, and can accurately and efficiently carry out objective evaluation on the effectiveness of the indoor communication network test.
Description
Technical Field
The invention relates to the field of coverage optimization of mobile communication networks, in particular to a method and a device for judging the effectiveness of an indoor communication network test.
Background
In the daily optimization process of the mobile communication network in various complex scenes, the test of the indoor coverage distribution system of the mobile communication network is one of the most important works. At present, the conventional indoor test in the industry still depends on walking to traverse key test points or test areas by manually carrying test equipment to form a series of test points, and then the test points are connected in series and distributed to form a test path.
The test of the indoor mobile communication network of the current mobile operator is usually tested by the personnel of a third party testing company, and the third party testing personnel can cheat the test under the condition of not in place supervision: the test is "lazy" in that the test person does not reach the test floor, or does not completely traverse all of the test points during the test floor hiking test.
Aiming at the cheating test behavior of a third-party tester of the existing indoor mobile communication network, a real and effective evaluation and judgment method is lacked in the industry.
Disclosure of Invention
The invention provides a method and a device for judging the validity of an indoor communication network test, which aim to solve the problem that the verification result of the validity of the indoor mobile communication network test is unreliable.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
in one aspect, the present invention provides a method for determining validity of an indoor communication network test, where the method includes:
acquiring sensor test data which is time-synchronous with the manual dotting data from the output data of the position sensor when the manual dotting data corresponding to the indoor communication network test point is acquired;
calculating angle change characteristics between connecting lines of adjacent test points according to the manual dotting data and the sensor test data respectively, and performing angle synchronous change correlation calculation according to the angle change characteristics to obtain a correlation coefficient, wherein the correlation coefficient is used for indicating the consistency degree of the advancing direction of the manual dotting data collected by a tester and the advancing direction of the position sensor;
judging whether the correlation coefficient is larger than a set correlation coefficient threshold value or not, and judging that the indoor communication network test is effective when the correlation coefficient is larger than the correlation coefficient threshold value; and when the correlation coefficient is smaller than the correlation coefficient threshold value, judging that the indoor communication network test is invalid.
In another aspect, the present invention provides an apparatus for determining validity of an indoor communication network test, the apparatus comprising:
the data acquisition unit is used for acquiring sensor test data which is time-synchronous with manual dotting data from output data of a position sensor when the manual dotting data corresponding to the indoor communication network test point is acquired;
the first calculation unit is used for calculating angle change characteristics between connecting lines of adjacent test points according to manual dotting data and sensor test data respectively, and performing angle synchronous change correlation calculation according to the angle change characteristics to obtain a correlation coefficient, wherein the correlation coefficient is used for indicating the consistency degree of the advancing direction of the manual dotting data collected by a tester and the advancing direction of the position sensor;
the first judgment unit is used for judging whether the correlation coefficient is larger than a set correlation coefficient threshold value or not, and judging that the indoor communication network test is effective when the correlation coefficient is larger than the correlation coefficient threshold value; and when the correlation coefficient is smaller than the correlation coefficient threshold value, judging that the indoor communication network test is invalid.
The invention has the beneficial effects that: the invention combines the position sensing technology and the mobile communication network testing technology to obtain time-synchronized manual dotting data and sensor testing data, calculates the angle change characteristics between connecting lines of adjacent testing points based on the two data, realizes the accurate analysis and judgment of the effectiveness of the testing path of the indoor communication network, greatly saves the input cost of manpower and material resources for checking the cheating behavior of the indoor communication network testing, improves the testing work efficiency of the indoor communication network, and better supports the daily testing and optimizing work of the indoor communication network.
Drawings
Fig. 1 is a flowchart illustrating a method for determining validity of an indoor communication network test according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a synchronous acquisition process of test data according to an embodiment of the present invention;
fig. 3 is a block diagram of a device for determining validity of an indoor communication network test according to an embodiment of the present invention.
Detailed Description
At present, the supervision means for testing the third-party indoor mobile communication network mainly depends on outdoor GPS positioning and point collection near an indoor coverage distribution system in the testing process, and only can check whether a third-party tester reaches the vicinity of the indoor mobile communication network to be tested. Since the room is usually unable to receive GPS signals, it is no self-verification that the third party tester's test path in the room is consistent with the pre-planned test path.
Aiming at the situation, the invention fully utilizes the action behavior of a testing point which is acquired by a tester in an indoor plane graph when an indoor mobile communication network is tested, positions the relative position information of the tester indoors, records the relative advancing direction information of the tester, and generates information such as time synchronization pace data information, advancing direction data and the like through a testing terminal; and performing fusion analysis and mining on the multiple data to realize accurate analysis and judgment of the validity of the test path of the indoor mobile communication network test.
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Fig. 1 is a flowchart of a method for determining validity of an indoor communication network test according to an embodiment of the present invention, and as shown in fig. 1, the method according to the embodiment includes:
s110, when manual dotting data corresponding to the indoor communication network test point are collected, sensor test data in time synchronization with the manual dotting data are obtained from output data of the position sensor.
The invention can use mobile equipment to collect the manual dotting data and the sensor test data, for example, mobile communication network test equipment is arranged on mobile terminals such as mobile phones and PADs to collect the manual dotting data, and a position sensor arranged in the mobile terminals is used to collect the sensor test data.
The manual dotting data and the sensor testing data in the invention both comprise position information and acquisition time information which are not limited to the testing points.
S120, calculating angle change characteristics between connecting lines of adjacent test points according to the manual dotting data and the sensor test data respectively, and performing correlation calculation of angle synchronous change according to the angle change characteristics to obtain correlation coefficients; the correlation coefficient is used for indicating the consistency degree of the traveling direction of the tester for collecting the manual dotting data and the traveling direction of the position sensor.
The adjacent test points in the invention can be understood as follows: the manual dotting data collected from the test point P1 at two test points adjacent in time, such as the time t1, is (X (t)1),Y(t1) And the manual dotting data collected at the time t2 for the test point P2 is (X (t) of2),Y(t2) Test points P1 and P2 are thenAdjacent test points.
In the invention, the two coordinate systems used by the sensor test data and the manual dotting data are not coincident and continuously change along with the test posture in the test process, for example, when a mobile phone is used for indoor communication network test, the sensor test data and the manual dotting data of the same test point have difference due to the change of the handheld posture, so that the correlation calculation is carried out based on the angle change characteristic.
S130, judging whether the correlation coefficient is larger than a set correlation coefficient threshold value or not, and judging that the indoor communication network test is effective when the correlation coefficient is larger than the correlation coefficient threshold value; and when the correlation coefficient is smaller than the correlation coefficient threshold value, judging that the indoor communication network test is invalid.
The correlation coefficient threshold value in the invention can be obtained according to the statistics of test verification data of different regions and different test scenes.
The embodiment combines a position sensing technology and a mobile communication network testing technology to obtain time-synchronized manual dotting data and sensor testing data, calculates the angle change characteristics between connecting lines of adjacent testing points based on the two data, realizes accurate analysis and judgment of the effectiveness of the testing path of the indoor communication network, greatly saves the input cost of manpower and material resources for checking the cheating behavior of the indoor communication network testing, improves the working efficiency of the indoor communication network testing, and better supports the daily testing and optimizing work of the indoor communication network.
Fig. 2 is a flow chart illustrating a synchronous acquisition of test data according to an embodiment of the present invention, and as shown in fig. 2, the manual dotting data and the sensor test data may be acquired in the following manner.
And manually dotting on a test plan used for the indoor communication network test by using the mobile communication network test technology when the test data is collected.
The method comprises the steps that a pre-planned test path is displayed on a test plan, manual dotting data of a starting test point are collected by dotting the starting test point of the pre-planned test path on the test plan, and a position sensor outputs synchronous sensor test data of the starting test point, so that data collection of the starting test point is completed; and carrying out data acquisition on the second test point of the pre-planned test path until the data acquisition of all the test points on the pre-planned test path is completed.
After data acquisition of all test points is completed, sensor test data corresponding to a time stamp can be obtained from output data of the position sensor according to the time stamp of each manual dotting data; calculating tangent values of included angles between geometric straight lines determined by adjacent test points according to manual dotting data and sensor test data to obtain a first tangent value sequence and a second tangent value sequence; and calculating the correlation of the first tangent value sequence and the second tangent value sequence to obtain a correlation coefficient.
Specifically, the correlation coefficient ρ (tan θ) is calculated by the following methodS,tanθM):
(1) Taking time as a base point, and taking Sensor (abbreviated as Sensor) test data and Manual dotting (abbreviated as Manual) data corresponding to the dotting timestamp, wherein coordinate points corresponding to the two data are used as test points to form a synchronous test point sequence:
[XS(t0),YS(t0)],[XS(t1),YS(t1)],...,[XS(tN),YS(tN)]
[XM(t0),YM(t0)],[XM(t1),YM(t1)],...,[XM(tN),YM(tN)]
wherein, [ X ]S(tN),YS(tN)]Indicating the time stamp t of the test point PN at the manual dottingNCollected manual dotting coordinate data, [ X ]M(tN),YM(tN)]Indicating that the position sensor is manually doted with a time stamp tNAnd outputting the sensor test coordinate data corresponding to the test point PN at any moment.
The synchronization key sequence can be understood as follows: coordinates of a test point determined by the first manual dotting timestamp as a starting test pointData, i.e. [ X ]S(t0),YS(t0)],[XM(t0),YM(t0)]As coordinate data of the initial test point; setting the test point determined by the second manual time stamp as the coordinate data of the second test point, namely [ XS(t1),YS(t1)],[XM(t1),YM(t1)]As coordinate data of the initial test point; thus, the test point determined by the Nth manual dotting timestamp is the coordinate data of the tail test point, namely [ X [ ]S(tN),YS(tN)],[XM(tN),YM(tN)]As coordinate data of the last test point.
(2) And determining a tangent value sequence of the included angle of the adjacent straight lines according to the synchronous test point sequence.
Determining a first geometric straight line sequence l from the initial test point and the second test pointS1,lM1:
lS1: passing point [ X ]S(t0),YS(t0)]And point [ X ]S(t1),YS(t1)]A determined geometric straight line;
lM1: passing point [ X ]M(t0),YM(t0)]And point [ X ]M(t1),YM(t1)]And (4) determining a geometric straight line.
Determining a second geometric straight-line sequence l by the second test point and the third test pointS2,lM2:
lS2: passing point [ X ]S(t1),YS(t1)]And point [ X ]S(t2),YS(t2)]A determined geometric straight line;
lM2: passing point [ X ]M(t1),YM(t1)]And point [ X ]M(t2),YM(t2)]And (4) determining a geometric straight line.
Respectively calculating the included angle between the second geometric straight line and the first geometric straight lineθS1And thetaM1Absolute value of tangent of (1 | tan θ)S1And tan thetaM1Calculating absolute values of tangent values of all other adjacent straight line included angles according to the same method to obtain a tangent value sequence [ tan theta ]S1,tanθS2,...tanθSN]And [ tan θ ]M1,tanθM2,...tanθMN]。
It should be noted that, because there is an operation error in manual dotting, when calculating the tangent value of the included angle, the sensor test coordinate may be corrected according to the tangent value. E.g. in calculating | tan θM1When, a search time threshold t can be setF(tF3 seconds) at the first manual time stamp tiSearching for an | tan theta within 3 seconds before and afterS1-tanθM1Tan theta corresponding to minimum value of |M1Tan theta as correctedM1Tan theta after correctionM1And taking the corresponding sensor test coordinate as the sensor test coordinate data of the test point.
(3) Sequence of tangent values [ tan theta ]S1,tanθS2,...tanθSN]And [ tan θ ]M1,tanθM2,...tanθMN]The correlation coefficient ρ (tan θ) is calculatedS,tanθM) And (4) calculating.
(4) According to the correlation coefficient rho (tan theta)S,tanθM) And judging whether the indoor communication network test is effective or not.
If the present embodiment sets the correlation coefficient threshold to 0.6, illustratively, at ρ (tan θ @)S,tanθM) When the indoor communication network test is more than or equal to 0.6, judging that the indoor communication network test is effective at rho (tan theta)S,tanθM) If the indoor communication network test is less than 0.6, the indoor communication network test is judged to be invalid.
It should be noted that the method for calculating the angle synchronous change correlation coefficient based on the angle change characteristic in the present embodiment includes, but is not limited to, θ expressed by radianSAnd thetaMCoefficient of correlation of (1) ([ tan ]S,tanθM)。
Because the output data of the position sensor is easily interfered by external conditions, and the output data can be irregularly distorted and noisy, so that the angle change characteristics are inaccurate.
In one embodiment of the invention, after the indoor communication network test is judged to be invalid, the distance change characteristics between the connecting lines of the adjacent test points are calculated according to the manual dotting data and the sensor test data respectively, and the similarity calculation of synchronous distance change is carried out according to the distance change characteristics to obtain a similarity coefficient; the similarity coefficient is used for indicating the consistency degree of the travel distance change of the manual dotting data collected by the tester and the travel distance change of the position sensor. Judging whether the similarity coefficient is larger than a set similarity coefficient threshold value or not, and judging that the indoor communication network test is effective when the similarity coefficient is larger than the similarity coefficient threshold value; and when the similarity coefficient is smaller than the similarity coefficient threshold value, judging that the indoor communication network test is invalid. The similarity coefficient threshold value can be obtained according to statistics of test verification data of different regions and different test scenes.
In one implementation of this embodiment, sensor test data corresponding to a timestamp may be obtained from output data of a position sensor according to the timestamp of each manual dotting data; converting the coordinate system of the manual dotting data or the sensor test data to obtain the manual dotting data and the sensor test data in the same coordinate system; calculating the distance between adjacent test points according to the manual dotting data and the sensor test data after the coordinate system conversion to obtain a first distance sequence and a second distance sequence; and calculating the similarity of the first distance sequence and the second distance sequence to obtain a similarity coefficient.
Specifically, the similarity coefficient ρ (d) is calculated by the following methodM,dS):
(1) Taking time as a base point, and taking Sensor (abbreviated as Sensor) test data and Manual dotting (abbreviated as Manual) data corresponding to the dotting timestamp, wherein coordinate points corresponding to the two data are used as test points to form a synchronous test point sequence:
[XS(t0),YS(t0)],[XS(t1),YS(t1)],...,[XS(tN),YS(tN)]
[XM(t0),YM(t0)],[XM(t1),YM(t1)],...,[XM(tN),YM(tN)]
(2) calculating the distance sequence d of the adjacent test points according to the sequence of the synchronous test pointsj MAnd dj S,j∈[1,N];
dj M: passing point [ X ]M(tj),YM(tj)]And point [ X ]M(tj+1),YM(tj+1)]The determined distance;
dj S: passing point [ X ]S(tj),YS(tj)]And point [ X ]S(tj+1),YS(tj+1)]The determined distance.
(3) And converting the synchronous test point sequence into the same coordinate system.
The present embodiment exemplarily sets the pitch sequence dj MConverting into sensor coordinate system distance As a converted sequence of pitches.
Wherein r isM-SThe ratio of the indoor test plan to the actual geographic dimensions may be provided to the user, or the ratio may be calculated based on manual dotting coordinate data and sensor test coordinate data, such as based on a formula
(3) Sequence of pair spacingAndproceed to the similarity coefficient ρ (d)M,dS) And (4) calculating.
(4) According to the similarity coefficient rho (d)M,dS) And judging whether the indoor communication network test is effective or not.
If the present embodiment sets the similarity coefficient threshold to 0.75, exemplarily, at ρ (d)M,dS) When the indoor communication network test is more than or equal to 0.75, judging that the indoor communication network test is effective at rho (d)M,dS) If the indoor communication network test is less than 0.75, the indoor communication network test is judged to be invalid.
In another embodiment of the invention, the test path of the indoor communication network is effectively evaluated by combining the angle transformation characteristic and the distance transformation characteristic.
After the correlation coefficient is obtained, calculating the interval change characteristics between the connecting lines of the adjacent test points according to manual dotting data and sensor test data respectively, and calculating the similarity of interval synchronous change according to the interval change characteristics to obtain a similarity coefficient; the similarity coefficient is used for indicating the consistency degree of the travel distance change of the manual dotting data collected by the tester and the travel distance change of the position sensor.
Judging whether the correlation coefficient is greater than a set correlation coefficient threshold value or not, judging whether the similarity coefficient is greater than a set similarity coefficient threshold value or not, and judging that the indoor communication network test is effective when the correlation coefficient is greater than the correlation coefficient threshold value and the similarity coefficient is greater than the similarity coefficient threshold value; otherwise, the indoor communication network test is judged to be invalid.
In this embodiment, the calculation method of the similarity coefficient refers to the above description, and is not repeated herein.
It should be noted that, when the validity evaluation is performed on the test path of the indoor communication network by combining the angle transformation characteristic and the distance transformation characteristic, both the correlation coefficient threshold value and the similarity coefficient threshold value are values greater than 0.5; if the correlation coefficient threshold is set to 0.6, the similarity coefficient threshold is set to 0.75. It is also possible to set the similarity coefficient threshold to a value greater than 0.5 and the relationship coefficient threshold to a value less than 0.5. If the correlation coefficient threshold is set to 0.2, the similarity coefficient threshold is set to 0.95. The correlation coefficient threshold and the similarity coefficient threshold can be obtained according to the statistics of test verification data of different regions and different test scenes.
The method for judging the effectiveness of the indoor communication network test can efficiently solve the problem of verification and judgment of the indoor mobile communication network test effectiveness in the current industry, and has good engineering applicability.
Corresponding to the method for judging the effectiveness of the indoor communication network test, the device for judging the effectiveness of the indoor communication network test is provided.
Fig. 3 is a block diagram of a structure of an indoor communication network test validity determination apparatus according to an embodiment of the present invention, and as shown in fig. 3, the apparatus includes: a data acquisition unit 31, a first calculation unit 32, and a first judgment unit 33;
the data acquisition unit 31 is used for acquiring sensor test data time-synchronized with manual dotting data from output data of the position sensor when the manual dotting data corresponding to the indoor communication network test point are acquired;
the first calculating unit 32 is configured to calculate an angle change characteristic between connection lines of adjacent test points according to the manual dotting data and the sensor test data, and perform correlation calculation of angle synchronous change according to the angle change characteristic to obtain a correlation coefficient, where the correlation coefficient is used to indicate a degree of consistency between a traveling direction in which a tester collects the manual dotting data and a traveling direction of the position sensor;
the first judging unit 33 is configured to judge whether the correlation coefficient is greater than a set correlation coefficient threshold, and when the correlation coefficient is greater than the correlation coefficient threshold, judge that the indoor communication network test is valid; and when the correlation coefficient is smaller than the correlation coefficient threshold value, judging that the indoor communication network test is invalid.
Wherein the first calculation unit 32 includes: the device comprises a first data processing module, a tangent value calculating module and a correlation calculating module;
the first data processing module is used for acquiring sensor test data corresponding to a time stamp from output data of the position sensor according to the time stamp of each manual dotting data;
the tangent value calculating module is used for calculating the tangent value of an included angle between the geometric straight lines determined by the adjacent test points according to the manual dotting data and the sensor test data to obtain a first tangent value sequence and a second tangent value sequence;
and the correlation calculation module is used for calculating the correlation between the first tangent value sequence and the second tangent value sequence to obtain the correlation coefficient.
In one implementation of this embodiment, the apparatus in fig. 3 further includes a second calculating unit and a second judging unit;
the second calculation unit is used for calculating the distance change characteristics between the connecting lines of the adjacent test points according to the manual dotting data and the sensor test data respectively after the indoor communication network test is judged to be invalid, and performing similarity calculation of synchronous distance change according to the distance change characteristics to obtain a similarity coefficient, wherein the similarity coefficient is used for indicating the consistency degree of the travel distance change of the manual dotting data collected by a tester and the travel distance change of the position sensor;
the second judgment unit is used for judging whether the similarity coefficient is larger than a set similarity coefficient threshold value or not, and judging that the indoor communication network test is effective when the similarity coefficient is larger than the similarity coefficient threshold value; and when the similarity coefficient is smaller than the similarity coefficient threshold value, judging that the indoor communication network test is invalid.
In another implementation of this embodiment, the apparatus in fig. 3 further includes a third calculating unit and a third judging unit;
the third calculation unit is used for calculating the distance change characteristics between the connecting lines of the adjacent test points according to the manual dotting data and the sensor test data after the correlation coefficient is obtained, and performing the similarity calculation of synchronous distance change according to the distance change characteristics to obtain a similarity coefficient, wherein the similarity coefficient is used for indicating the consistency degree of the travel distance change of the manual dotting data collected by a tester and the travel distance change of the position sensor;
the third judging unit is used for judging whether the correlation coefficient is greater than a set correlation coefficient threshold value or not, whether the similarity coefficient is greater than a set similarity coefficient threshold value or not, and judging that the indoor communication network test is effective when the correlation coefficient is greater than the correlation coefficient threshold value and the similarity coefficient is greater than the similarity coefficient threshold value; otherwise, the indoor communication network test is judged to be invalid.
The second calculating unit and the third calculating unit in this embodiment each include: the second data processing module, the coordinate system conversion module, the distance calculation module and the similarity calculation module;
the second data processing module is used for acquiring sensor test data corresponding to the time stamp from output data of the position sensor according to the time stamp of each manual dotting data;
the coordinate system conversion module is used for carrying out coordinate system conversion on the manual dotting data or the sensor test data to obtain the manual dotting data and the sensor test data in the same coordinate system;
the distance calculation module is used for calculating the distance between the adjacent test points according to the manual dotting data and the sensor test data after the coordinate system conversion to obtain a first distance sequence and a second distance sequence;
and the similarity calculation module is used for calculating the similarity of the first distance sequence and the second distance sequence to obtain the similarity coefficient.
The specific working modes of each unit module in the device embodiment of the present invention may refer to the method embodiment of the present invention, and are not described herein again.
For the convenience of clearly describing the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", and the like are used to distinguish the same items or similar items with basically the same functions and actions, and those skilled in the art can understand that the words "first", "second", and the like do not limit the quantity and execution order.
While the foregoing is directed to embodiments of the present invention, other modifications and variations of the present invention may be devised by those skilled in the art in light of the above teachings. It should be understood by those skilled in the art that the foregoing detailed description is for the purpose of better explaining the present invention, and the scope of the present invention should be determined by the scope of the appended claims.
Claims (11)
1. A method for judging the effectiveness of an indoor communication network test is characterized by comprising the following steps:
acquiring sensor test data time-synchronized with manual dotting data from output data of a position sensor when the manual dotting data corresponding to an indoor communication network test point are acquired;
calculating angle change characteristics between connecting lines of adjacent test points according to the manual dotting data and the sensor test data respectively, and performing angle synchronous change correlation calculation according to the angle change characteristics to obtain a correlation coefficient, wherein the correlation coefficient is used for indicating the consistency degree of the advancing direction of the manual dotting data collected by a tester and the advancing direction of the position sensor;
judging whether the correlation coefficient is larger than a set correlation coefficient threshold value or not, and judging that the indoor communication network test is effective when the correlation coefficient is larger than the correlation coefficient threshold value; and when the correlation coefficient is smaller than the correlation coefficient threshold value, judging that the indoor communication network test is invalid.
2. The method of claim 1, wherein the calculating an angle change characteristic between adjacent test point connecting lines according to the manual dotting data and the sensor test data respectively, and performing a correlation calculation of angle synchronous change according to the angle change characteristic to obtain a correlation coefficient comprises:
according to the time stamp of each manual dotting data, obtaining sensor test data corresponding to the time stamp from output data of a position sensor;
calculating tangent values of included angles between geometric straight lines determined by adjacent test points according to the manual dotting data and the sensor test data to obtain a first tangent value sequence and a second tangent value sequence;
and calculating the correlation of the first tangent value sequence and the second tangent value sequence to obtain the correlation coefficient.
3. The method of claim 1, wherein after determining that the indoor communication network test is invalid, the method further comprises:
calculating the distance change characteristics between the connecting lines of the adjacent test points according to the manual dotting data and the sensor test data respectively, and calculating the similarity of synchronous distance change according to the distance change characteristics to obtain a similarity coefficient, wherein the similarity coefficient is used for indicating the consistency degree of the travel distance change of the manual dotting data collected by a tester and the travel distance change of the position sensor;
judging whether the similarity coefficient is larger than a set similarity coefficient threshold value or not, and judging that the indoor communication network test is effective when the similarity coefficient is larger than the similarity coefficient threshold value; and when the similarity coefficient is smaller than the similarity coefficient threshold value, judging that the indoor communication network test is invalid.
4. The method of claim 1, wherein after obtaining the correlation coefficient, the method further comprises:
calculating the distance change characteristics between the connecting lines of the adjacent test points according to the manual dotting data and the sensor test data respectively, and calculating the similarity of synchronous distance change according to the distance change characteristics to obtain a similarity coefficient, wherein the similarity coefficient is used for indicating the consistency degree of the travel distance change of the manual dotting data collected by a tester and the travel distance change of the position sensor;
judging whether the correlation coefficient is larger than a set correlation coefficient threshold value or not, judging whether the similarity coefficient is larger than a set similarity coefficient threshold value or not, and judging that the indoor communication network test is effective when the correlation coefficient is larger than the correlation coefficient threshold value and the similarity coefficient is larger than the similarity coefficient threshold value; otherwise, judging that the indoor communication network test is invalid.
5. The method according to claim 3 or 4, wherein the calculating a distance change characteristic between adjacent test point connecting lines according to the manual dotting data and the sensor test data respectively, and performing a similarity calculation of synchronous distance change according to the distance change characteristic to obtain a similarity coefficient comprises:
according to the time stamp of each manual dotting data, obtaining sensor test data corresponding to the time stamp from output data of a position sensor;
converting the coordinate system of the manual dotting data or the sensor testing data to obtain manual dotting data and sensor testing data in the same coordinate system;
calculating the distance between adjacent test points according to the manual dotting data and the sensor test data after the coordinate system conversion to obtain a first distance sequence and a second distance sequence;
and calculating the similarity of the first distance sequence and the second distance sequence to obtain the similarity coefficient.
6. The utility model provides an indoor communication network test validity judgement device which characterized in that, the device includes:
the data acquisition unit is used for acquiring sensor test data which is time-synchronous with manual dotting data from output data of a position sensor when the manual dotting data corresponding to the indoor communication network test point is acquired;
the first calculation unit is used for calculating angle change characteristics between connecting lines of adjacent test points according to the manual dotting data and the sensor test data respectively, and carrying out angle synchronous change correlation calculation according to the angle change characteristics to obtain a correlation coefficient, wherein the correlation coefficient is used for indicating the consistency degree of the advancing direction of the manual dotting data collected by a tester and the advancing direction of the position sensor;
the first judgment unit is used for judging whether the correlation coefficient is larger than a set correlation coefficient threshold value or not, and judging that the indoor communication network test is effective when the correlation coefficient is larger than the correlation coefficient threshold value; and when the correlation coefficient is smaller than the correlation coefficient threshold value, judging that the indoor communication network test is invalid.
7. The apparatus of claim 6, wherein the first computing unit comprises: the device comprises a first data processing module, a tangent value calculating module and a correlation calculating module;
the first data processing module is used for acquiring sensor test data corresponding to a time stamp from output data of the position sensor according to the time stamp of each manual dotting data;
the tangent value calculating module is used for calculating the tangent value of an included angle between the geometric straight lines determined by the adjacent test points according to the manual dotting data and the sensor test data to obtain a first tangent value sequence and a second tangent value sequence;
and the correlation calculation module is used for calculating the correlation between the first tangent value sequence and the second tangent value sequence to obtain the correlation coefficient.
8. The apparatus according to claim 6, further comprising a second calculating unit and a second judging unit;
the second calculation unit is used for calculating the distance change characteristics between the connecting lines of the adjacent test points according to the manual dotting data and the sensor test data respectively after the indoor communication network test is judged to be invalid, and performing similarity calculation of synchronous distance change according to the distance change characteristics to obtain a similarity coefficient, wherein the similarity coefficient is used for indicating the consistency degree of the travel distance change of the manual dotting data collected by a tester and the travel distance change of the position sensor;
the second judging unit is configured to judge whether the similarity coefficient is greater than a set similarity coefficient threshold, and when the similarity coefficient is greater than the similarity coefficient threshold, judge that the indoor communication network test is valid; and when the similarity coefficient is smaller than the similarity coefficient threshold value, judging that the indoor communication network test is invalid.
9. The apparatus according to claim 6, further comprising a third calculating unit and a third judging unit;
the third calculating unit is used for calculating the distance change characteristics between the connecting lines of the adjacent test points according to the manual dotting data and the sensor test data after the correlation coefficient is obtained, and performing similarity calculation of synchronous distance change according to the distance change characteristics to obtain a similarity coefficient, wherein the similarity coefficient is used for indicating the consistency degree of the travel distance change of the manual dotting data collected by a tester and the travel distance change of the position sensor;
the third judging unit is configured to judge whether the correlation coefficient is greater than a set correlation coefficient threshold, whether the similarity coefficient is greater than a set similarity coefficient threshold, and judge that the indoor communication network test is valid when the correlation coefficient is greater than the correlation coefficient threshold and the similarity coefficient is greater than the similarity coefficient threshold; otherwise, judging that the indoor communication network test is invalid.
10. The apparatus of claim 8, wherein the second computing unit comprises: the second data processing module, the coordinate system conversion module, the distance calculation module and the similarity calculation module;
the second data processing module is used for acquiring sensor test data corresponding to the time stamp from output data of the position sensor according to the time stamp of each manual dotting data;
the coordinate system conversion module is used for carrying out coordinate system conversion on the manual dotting data or the sensor test data to obtain the manual dotting data and the sensor test data in the same coordinate system;
the distance calculation module is used for calculating the distance between the adjacent test points according to the manual dotting data and the sensor test data after the coordinate system is converted to obtain a first distance sequence and a second distance sequence;
and the similarity calculation module is used for calculating the similarity of the first distance sequence and the second distance sequence to obtain the similarity coefficient.
11. The apparatus of claim 9, wherein the third computing unit comprises: the second data processing module, the coordinate system conversion module, the distance calculation module and the similarity calculation module;
the second data processing module is used for acquiring sensor test data corresponding to the time stamp from output data of the position sensor according to the time stamp of each manual dotting data;
the coordinate system conversion module is used for carrying out coordinate system conversion on the manual dotting data or the sensor test data to obtain the manual dotting data and the sensor test data in the same coordinate system;
the distance calculation module is used for calculating the distance between the adjacent test points according to the manual dotting data and the sensor test data after the coordinate system is converted to obtain a first distance sequence and a second distance sequence;
and the similarity calculation module is used for calculating the similarity of the first distance sequence and the second distance sequence to obtain the similarity coefficient.
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