CN107734488A - Bluetooth equipment quality detection device and method - Google Patents
Bluetooth equipment quality detection device and method Download PDFInfo
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- H—ELECTRICITY
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Abstract
The invention discloses a kind of bluetooth equipment quality detection device and method, wherein method comprises the following steps：The relevant parameter of the bluetooth equipment of current detection is set, continuous several times measure and record the Bluetooth received signals intensity level of each bluetooth equipment to be measured, processing is filtered to the multiple Bluetooth received signals intensity measurements of each bluetooth equipment to be measured, standard bluetooth received signal strength threshold value is calculated according to standard bluetooth received signal strength training dataset, filter result and threshold value are compared, judge whether Devices to test is qualified.The present invention is used to rapidly and accurately detect bluetooth equipment quality.
Description
Technical Field
The invention relates to the field of Bluetooth wireless communication, in particular to a device and a method for detecting the quality of Bluetooth equipment.
Background
Bluetooth is a wireless communication standard, and can realize short-distance data interaction between a computer, a smart phone and a personal area network. It is widely installed in various portable devices such as smart phones, headsets, MP3, remote controllers, etc. for short-distance transmission of streaming media music, data files, remote control signals, etc.
Manufacturers of bluetooth devices need to check the product quality of the produced bluetooth devices, particularly the working quality of wireless bluetooth modules. Typically, the quality of operation of the wireless bluetooth module itself is guaranteed by the quality control department of the supplier/manufacturer of the module. However, when a bluetooth device manufacturer installs a wireless bluetooth module and produces bluetooth devices, the wireless bluetooth module may not work normally or work with low quality due to various factors such as welding quality, antenna installation quality or production errors. Therefore, manufacturers need to detect the working state of the wireless bluetooth module on the bluetooth device in the product quality detection stage to determine that the wireless bluetooth module is working normally.
The bluetooth received signal strength value is an important index for evaluating the working state of the wireless bluetooth module. It has a value in the range of-100 to 0 in dBm. The smaller the value is, the lower the Bluetooth receiving signal strength of the wireless Bluetooth module is, the poorer the communication quality is, and the weaker the service capability is. When the wireless bluetooth module of the bluetooth device is abnormal due to the above reasons, the bluetooth reception signal strength value of the module will be very low or even unavailable.
In the detection of the bluetooth device, factors such as the operation of detection personnel, the reflection of objects in the detection environment, the shielding attenuation, the interference of other radio signals and the like can cause that the bluetooth receiving signal strength values of the same bluetooth device are measured at different moments to obtain different numerical values. In addition, due to individual factors of the wireless bluetooth module and individual differences generated in the production process of the bluetooth devices, the bluetooth reception signal strength values detected by the bluetooth devices of the same batch in the same measurement environment in the same time period may fluctuate within a range. Therefore, it is necessary to design an automatic, fast and accurate quality detection apparatus and method for bluetooth devices, which can automatically measure the bluetooth received signal strength of the bluetooth device, quickly eliminate the influence of the bluetooth device, the detection environment and the staff, accurately complete the detection of the working state of the wireless bluetooth module of the bluetooth device, and provide a quality assessment basis for the bluetooth device leaving the factory.
Because there are numerous manufacturers of bluetooth devices on the market, and the requirements of each manufacturer on the bluetooth received signal strength value are different, there is no uniform quality standard or regulation for the bluetooth received signal strength currently. Therefore, no instrument specially aiming at the quality detection of the Bluetooth equipment is sold in the market. Manufacturers need to develop a detection device and method for bluetooth devices by themselves by using existing devices.
The invention designs a quality detection device and method for Bluetooth equipment. The device and the method can be used for various devices with wireless Bluetooth modules, such as computers, notebooks, smart phones, tablet computers and the like. Therefore, the detection device has the advantages of strong portability, high automation degree, strong reliability of detection results, wide application range, capability of supporting detection data recording, permission of providing a visual operation interface for quality detection personnel and the like.
Disclosure of Invention
In view of the above, the present invention provides a quality detection apparatus and method for bluetooth devices, which are used to automatically, quickly and accurately detect the working quality of a wireless bluetooth module of a bluetooth device.
In order to achieve the above object, the present invention provides a quality detection apparatus for bluetooth devices, comprising a detection parameter input unit, a detection signal measurement unit, a detection signal filtering unit, a detection signal decision unit, and a detection result display unit, which are connected in sequence, wherein,
the detection parameter input unit is used for selecting the number of the currently detected Bluetooth devices, selecting whether to filter out the specified Bluetooth device to be detected or not, and controlling the application program to start working;
the detection signal measuring unit is used for continuously measuring and recording the Bluetooth receiving signal intensity value of each Bluetooth device to be detected for multiple times;
the detection signal filtering unit is used for filtering the multiple Bluetooth receiving signal strength measurement values of each Bluetooth device to be detected, eliminating the influence of human factors and test environment factors on the single Bluetooth receiving signal strength measurement value,
the detection signal judgment unit is used for calculating a standard Bluetooth receiving signal strength threshold value according to a standard Bluetooth receiving signal strength training data set, comparing the result of the filtering unit with the threshold value, determining whether the equipment to be detected is qualified or not, and fully considering the influence of individual difference of the Bluetooth equipment;
and the detection result display unit is used for displaying the final result of each detection.
Optionally, the detection signal filtering unit includes median filtering, and is configured to perform median filtering on the bluetooth received signal strength values obtained through multiple measurements, and output the median filtering as a detection result of the bluetooth received signal strength of the device to be detected.
Optionally, the detection signal filtering unit, wherein the value filtering is according to the following formula
,
Wherein,for the output of the median filtering, the filter is,indicating the strength of the Bluetooth receiving signal of the Bluetooth device to be testednThe number of the measured values is,，Nthe total number of the measurements of the Bluetooth receiving signal strength of the Bluetooth equipment to be tested.
Optionally, the detecting signal deciding unit calculates the threshold value from a standard bluetooth received signal strength training data set according to the following formula:
,
wherein,is a standard Bluetooth received signal strength training data setIs determined by the probability distribution function of (a),qis the probability of false alarm of the bluetooth received signal strength of a standard bluetooth device,is a threshold value. The above formula shows that the measured value of the intensity of the signal received by the Bluetooth of the single standard Bluetooth device is lower than the threshold valueAnd further the probability of causing the standard bluetooth device to be erroneously detected as being unqualified isq. The quality detection personnel of the Bluetooth equipment selects proper false alarm probability according to the actual condition and the quality requirement of the Bluetooth equipmentqThereby calculating the threshold value. If the filtering resultsIs less than the threshold valueIf not, the Bluetooth equipment to be tested is not qualified.
Based on the above purpose, the present invention also provides a quality detection method for bluetooth devices, comprising the following steps:
selecting the number of the currently detected Bluetooth devices, selecting whether to filter out the specified Bluetooth device to be detected, and controlling an application program to start working;
continuously measuring and recording the Bluetooth receiving signal intensity value of each Bluetooth device to be measured for multiple times;
filtering the multiple Bluetooth receiving signal strength measurement values of each Bluetooth device to be tested, and eliminating the influence of human factors and test environment factors on the single Bluetooth receiving signal strength measurement value;
calculating a standard Bluetooth receiving signal intensity threshold value according to a standard Bluetooth receiving signal intensity training data set, comparing a Bluetooth receiving signal intensity filtering result of each Bluetooth device to be tested with the threshold value, determining whether the device to be tested is qualified or not, and fully considering the influence of individual difference of the Bluetooth devices;
and outputting the judgment result of each device to be tested.
Optionally, the filtering processing is performed on the multiple bluetooth received signal strength measurement values of each bluetooth device to be tested, and in order to perform median filtering on the bluetooth received signal strength values obtained through multiple measurements, the output of the median filtering is used as an experimental result of the bluetooth received signal strength of the device to be tested.
Optionally, the median filtering is
,
Wherein,for the output of the median filtering, the filter is,indicating the strength of the Bluetooth receiving signal of the Bluetooth device to be testednThe number of the measured values is,，Nthe total number of the measurements of the Bluetooth receiving signal strength of the Bluetooth equipment to be tested.
Optionally, the calculating the threshold value according to the standard bluetooth received signal strength training data set is according to the following formula:
,
wherein,is a standard Bluetooth received signal strength training data setIs determined by the probability distribution function of (a),qis the probability of false alarm of the bluetooth received signal strength of a standard bluetooth device,is a threshold value. The above formula represents one timeThe measurement result of the Bluetooth receiving signal strength of the standard Bluetooth equipment is lower than the threshold valueAnd further the probability of causing the standard bluetooth device to be erroneously detected as being unqualified isq. The quality detection personnel of the Bluetooth equipment selects proper false alarm probability according to the actual condition and the quality requirement of the Bluetooth equipmentqAnd obtaining the threshold value according to the standard Bluetooth received signal strength training data set. If the filtering resultsIs less than the threshold valueIf not, the Bluetooth equipment to be tested is not qualified.
The invention has the beneficial effects that: the method can be transplanted to various platforms such as computers, notebooks, smart phones and tablet computers, and can realize automatic, rapid and accurate quality detection operation of the Bluetooth equipment. By using a signal processing filtering algorithm, the influence of environmental and human factors on the strength measured value of the Bluetooth receiving signal of the Bluetooth device in single measurement is removed. And removing the influence of the individual difference of the Bluetooth equipment to be detected on the quality detection result by using the standard Bluetooth received signal strength training data set. By defining the false alarm probability of the received signal strength of the standard Bluetooth equipment, objective quantitative basis is provided for determining the threshold value of the received signal strength of the standard Bluetooth equipment.
Drawings
In order to make the object, technical scheme and beneficial effect of the invention more clear, the invention provides the following drawings for explanation:
fig. 1 is a schematic structural diagram of a quality detection apparatus for bluetooth devices according to an embodiment of the present invention;
fig. 2 is a waveform diagram of a median filtering result in the quality detection apparatus of the bluetooth device according to the embodiment of the present invention;
fig. 3 is a waveform diagram of a training method for calculating a standard bluetooth received signal strength threshold according to a standard bluetooth received signal strength training data set in a quality detection apparatus for bluetooth devices according to an embodiment of the present invention;
FIG. 4 is a waveform diagram illustrating the result of the quality detection apparatus for Bluetooth devices according to an embodiment of the present invention;
fig. 5 is a flowchart illustrating steps of a method for detecting quality of a bluetooth device according to an embodiment of the present invention.
Detailed Description
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
Referring to fig. 1, a schematic structural diagram of a quality detection apparatus for bluetooth devices according to an embodiment of the present invention is shown, which includes: a detection parameter input unit 101, a detection signal measurement unit 102, a detection signal filtering unit 103, a detection signal decision unit 104, and a detection result display unit 105, wherein,
a detection parameter input unit 101, configured to set relevant parameters of the currently detected bluetooth device, such as the number, address, and name of the currently detected bluetooth device, select whether to filter out a specified bluetooth device to be detected, control an application program to start working, and the like;
a detection signal measuring unit 102 for measuring and recording the bluetooth receiving signal intensity value of each bluetooth device to be measured for a plurality of times, and each bluetooth device to be measured can be measuredNNext, the process of the present invention,；
a detection signal filtering unit 103 for each device under testNFiltering the secondary Bluetooth received signal strength measured value, eliminating the influence of human and environmental factors on the single Bluetooth received signal strength measured value, and obtaining a stable and reliable Bluetooth signal strength filtering result for each Bluetooth device to be tested;
a detection signal judgment unit 104, configured to compare the result of the filtering unit with a standard bluetooth received signal strength threshold, judge whether the bluetooth received signal strength of each bluetooth device to be detected after filtering is higher than a standard threshold, determine whether the bluetooth device to be detected is qualified, calculate a threshold according to a standard bluetooth received signal strength training data set, and fully consider the influence of individual differences of the bluetooth devices;
and the detection result display unit 105 is used for displaying the detection result, namely, the qualified or unqualified detection result, of each bluetooth device to be detected on a screen of a terminal, such as a computer, a notebook, a smart phone, a tablet computer and the like.
For the technical solution of the above embodiment, the implementation manner in the prior art can be referred to for the detection parameter input unit 101, the detection signal measurement unit 102, and the detection result display unit 105, and the emphasis of the embodiment of the present invention is on the detection signal filtering unit 103, which uses a filtering algorithm for each bluetooth deviceNThe individual received signal strength measurements are filtered, and a detected signal decision unit 104 determines whether the filtering result of each bluetooth device to be tested is acceptable based on a standard bluetooth received signal strength threshold determined from a standard bluetooth received signal strength training data set. Through the two steps, the problem that the qualified Bluetooth equipment is high in false detection rate due to multiple factors such as measurement environment, detection personnel and Bluetooth equipment individual difference can be solved well, and objective and quantitative indexes can be set for quality detection of the Bluetooth equipment.
The implementation of the detection signal filtering unit 103 will be further described below to enable those skilled in the art to better understand the implementation of the embodiment of the present invention.
The detection signal filtering unit 103 performs median filtering, and obtains a filtering result according to the multiple bluetooth received signal strength measurement values of each bluetooth device to be detected as follows: to the Bluetooth deviceNThe measured values of the intensity of the Bluetooth receiving signals are arranged from small to large, and the filtering result is the middle value of the measured values after the sequencing. Further, in a specific application example, the filtering result can be obtained by the following formula:
,
wherein,is the first to sequencenThe number of the measured values is,to be ordered tonThe number of the measured values is,，Nthe total number of the measurements of the Bluetooth receiving signal strength of the Bluetooth equipment to be tested. In the method, the median filtering avoids the influence of the maximum value and the minimum value which randomly occur in single measurement on the quality detection of the Bluetooth equipment to be detected.
The implementation of the detection signal decision unit 104 will be further described below to enable those skilled in the art to better understand the implementation of the embodiments of the present invention.
The detection signal decision unit 104 calculates a standard bluetooth received signal strength threshold value according to the standard bluetooth received signal strength training data set. The data in the standard Bluetooth received signal strength training data set is obtained by measuring a large number of qualified standard Bluetooth devices for multiple times in the same detection environment. The more qualified standard bluetooth device samples the training data set contains, the larger the measurement data volume, and the closer its data distribution is to the ideal result. Typically, it may be required, but not limited to, that the training data set contain data for no less than 30 qualified standard bluetooth devices, each having received signal strength measurements of no less than 30.
The process of calculating the standard bluetooth received signal strength threshold value from the standard bluetooth received signal strength training data set is as follows: arranging all data in the training set from small to large in sequence; false alarm probability according to received signal strength of standard Bluetooth equipmentqChoose the first after sortingThe data is used as the threshold value of the standard Bluetooth receiving signal strengthWhereinMis the total number of data in the standard bluetooth received signal strength training data set,the rounding operator. The process simulates probability distribution of standard Bluetooth received signal strength by using data of a standard Bluetooth received signal strength training data set through a sorting methodThereby finding out the satisfactionThreshold value of. If the filtering resultsIs less than the threshold valueIf not, the Bluetooth equipment to be tested is not qualified.
In the method, the detection personnel can detect the actual situation of the Bluetooth equipmentCondition and quality control requirements, and objectively and quantitatively selecting a suitable false alarm probabilityq. The method simulates the probability distribution of standard bluetooth received signal strength using data in a standard bluetooth received signal strength training dataset. Therefore, the larger the data amount in the training set is, the more accurate the probability distribution of the analog signal strength is, and the more reliable the standard threshold value is obtained by the method.
The implementation effect of the two units of the detection signal filtering 103 and the detection signal deciding 104 according to the embodiment of the present invention will be described below by using a specific application embodiment. It should be noted that the bluetooth received signal strength data shown in fig. 2 to 4 are real test data. The amplitude of the test data ranges from-100 to 0 in dBm, with smaller values indicating less bluetooth received signal strength.
For the median filtering of the detection signal filtering unit, refer to fig. 2, where X is the result of measuring the bluetooth received signal strength of the bluetooth device to be tested, obtained by the detection signal measuring unit, andthe horizontal line is the median filtering result of the detection signal filtering unit. And the filtering unit takes the middle value of the 5 measured values as the filtering result of the Bluetooth device to be tested according to the median filtering formula. As shown, median filtering can effectively eliminate the influence of maxima and minima caused by random factors.
For the detected signal decision unit 104, refer to fig. 3, in which the solid line is the cumulative distribution function curve of the received signal strength of the analog standard bluetooth obtained by arranging the data in the training data set of the received signal strength of the standard bluetooth from small to large, and the dotted line is the false alarm probability of the received signal strength of the expected standard bluetooth deviceq . The intersection point of the dotted line and the solid line is the threshold value of the standard bluetooth received signal strength obtained by the detection signal decision unit 104. The practical significance of the method is that if the Bluetooth device to be tested is a qualified device, the single measurement result of the Bluetooth receiving signal intensity is lower than the threshold valueThe probability of (3) is 0.05.
Referring to fig. 4, a waveform diagram of the result of the quality detection apparatus for bluetooth devices of the present invention is shown, wherein X represents the value of each bluetooth device under testNThe square frame is the filtering result of the detection signal filtering unit 103 for each device under test, and the dotted line is the standard threshold value determined by the detection signal decision unit 104 according to fig. 3. And the filtering results of all the equipment to be tested are higher than the threshold value, so that the equipment to be tested is detected to be a qualified product. The median filtering of the detection signal filtering unit 103 can effectively eliminate the influence of the maximum value and the minimum value on the measurement result, and avoid a large number of false detections.
Corresponding to the above-mentioned quality detection apparatus for bluetooth devices, another embodiment of the present invention provides a quality detection method for bluetooth devices, and a flowchart thereof refers to fig. 5, and includes the following steps:
s101, selecting the number of the currently detected Bluetooth devices, selecting whether to filter out the specified Bluetooth devices to be detected, and controlling an application program to start working;
s102, measuring the Bluetooth receiving signal intensity of each Bluetooth device to be tested, and repeatingNNext, the process of the present invention,recording the Bluetooth receiving signal intensity measured value of each Bluetooth device to be tested;
s103, for each Bluetooth device to be testedNThe intensity measured value of each Bluetooth receiving signal is subjected to median filtering to eliminate artificial factorsInfluence of element and test environment factors on the single Bluetooth received signal strength measurement value;
s104, calculating the standard Bluetooth receiving signal strength threshold value according to the standard Bluetooth receiving signal strength training data setFiltering the Bluetooth receiving signal intensity of each Bluetooth device to be testedAnd threshold valueComparing, determining whether the equipment to be tested is qualified, and fully considering the influence of individual difference of the Bluetooth equipment;
and S105, outputting the judgment result of each device to be tested.
Wherein, S101, S102, and S105 refer to the implementation manner in the prior art, and the embodiment of the present invention focuses on S103 for each bluetooth device to be testedNThe method carries out median filtering on the intensity measured value of the Bluetooth received signal, and can better solve the problem of high false detection rate caused by large random fluctuation of the original measured value. The embodiment of the invention is further characterized in that S104, the standard Bluetooth received signal strength training data set is analyzed to obtain the standard Bluetooth received signal strength threshold value, the probability distribution state of the standard Bluetooth received signal strength value can be better simulated, the reasonable standard threshold value is set according to the false detection requirement of the Bluetooth device to be detected, and the condition of too much false detection or too low threshold value caused by artificially and subjectively setting the threshold value is avoided.
The implementation of S103 will be further described below so that those skilled in the art can better understand the implementation of the embodiment of the present invention.
S103 for each Bluetooth device to be testedNThe median filtering of the individual bluetooth received signal strength measurements is as follows: all received signals of the Bluetooth deviceThe intensity measurements are arranged from small to large, and the filtering result is the middle value of the sequenced measurements. Further, in a specific application example, the filtering result can be obtained by the following formula:
,
wherein,is the first to sequencenThe number of the measured values is,to be ordered tonThe number of the measured values is,，Nthe total number of the measurements of the Bluetooth receiving signal strength of the Bluetooth equipment to be tested. In the method, the median filtering avoids the influence of the maximum value and the minimum value which randomly occur in single measurement on the quality detection of the Bluetooth equipment to be detected.
The implementation of S104 will be further described below to enable those skilled in the art to better understand the implementation of the embodiment of the present invention.
S104, the process of analyzing the standard Bluetooth received signal strength training data set to obtain the standard Bluetooth received signal strength threshold value is as follows:
arranging all data in the training set from small to large in sequence; false alarm probability according to received signal strength of standard Bluetooth equipmentqChoose the first after sortingThe data is used as the threshold value of the standard Bluetooth receiving signal strengthWhereinMis the standard Bluetooth received signal strengthThe total number of data in the training data set,the rounding operator. The process simulates probability distribution of standard Bluetooth received signal strength by using data of a standard Bluetooth received signal strength training data set through a sorting methodThereby finding out the satisfactionThreshold value of. If the filtering resultsIs less than the threshold valueIf not, the Bluetooth equipment to be tested is not qualified.
In the method, the detection personnel can select proper expected false alarm probability according to actual needsq. The method uses data in a standard bluetooth received signal strength training data set to simulate the probability distribution of actual standard bluetooth signal strength. Therefore, the larger the data amount in the training set is, the more accurate the probability distribution of the analog signal strength is, and the more reliable the obtained threshold value is.
Finally, it is noted that the above-mentioned preferred embodiments illustrate rather than limit the invention, and that, although the invention has been described in detail with reference to the above-mentioned preferred embodiments, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the scope of the invention as defined by the appended claims.
Claims (8)
1. A quality detection device for Bluetooth equipment comprises a detection parameter input unit, a detection signal measuring unit, a detection signal filtering unit, a detection signal judging unit and a detection result display unit which are connected in sequence, wherein,
the detection parameter input unit is used for selecting the number of the currently detected Bluetooth devices, selecting whether to filter out the specified Bluetooth device to be detected or not, and controlling the application program to start working;
the detection signal measuring unit is used for continuously measuring and recording the Bluetooth receiving signal intensity value of each Bluetooth device to be detected for multiple times;
the detection signal filtering unit is used for filtering the multiple Bluetooth receiving signal strength measurement values of each Bluetooth device to be detected, and eliminating the influence of human factors and test environment factors on the single Bluetooth receiving signal strength measurement value;
the detection signal judgment unit is used for calculating a standard Bluetooth receiving signal strength threshold value according to a standard Bluetooth receiving signal strength training data set, comparing the result of the filtering unit with the threshold value, determining whether the equipment to be detected is qualified or not, and fully considering the influence of individual difference of the Bluetooth equipment;
and the detection result display unit is used for displaying the final result of each detection.
2. The quality detection apparatus of claim 1, wherein the detection signal filtering unit comprises a median filter, and is configured to perform median filtering on the bluetooth received signal strength values obtained through multiple measurements, and output the median filter as a detection result of the bluetooth received signal strength of the device under test.
3. The apparatus of claim 2, wherein the median filtering is according to the following equation:
,
wherein,for the output of the median filtering, the filter is,the first to show the Bluetooth receiving signal intensity of the Bluetooth device to be testednThe number of the measured values is,，Nthe total number of the measurements of the Bluetooth receiving signal strength of the Bluetooth equipment to be tested.
4. The apparatus of claim 1, wherein the standard bluetooth received signal strength training data set calculation threshold is in accordance with the following equation:
,
wherein,is a standard Bluetooth received signal strength training data setIs determined by the probability distribution function of (a),qis the probability of false alarm of the bluetooth received signal strength of a standard bluetooth device,is a threshold value; the formula shows that the measured value of the intensity of the Bluetooth receiving signal of the single standard Bluetooth equipment is lower than the threshold valueAnd further the probability of causing the standard bluetooth device to be erroneously detected as being unqualified isqIf the result of the filtering isIs less than the threshold valueIf not, the Bluetooth equipment to be tested is not qualified.
5. A quality detection method for Bluetooth equipment is characterized by comprising the following steps:
selecting the number of the currently detected Bluetooth devices, selecting whether to filter out the specified Bluetooth device to be detected, and controlling an application program to start working;
continuously measuring and recording the Bluetooth receiving signal intensity value of each Bluetooth device to be measured for multiple times;
filtering the multiple Bluetooth receiving signal strength measurement values of each Bluetooth device to be tested, and eliminating the influence of human factors and test environment factors on the single Bluetooth receiving signal strength measurement value;
calculating a standard Bluetooth receiving signal intensity threshold value according to a standard Bluetooth receiving signal intensity training data set, comparing a Bluetooth receiving signal intensity filtering result of each Bluetooth device to be tested with the threshold value, determining whether the device to be tested is qualified or not, and fully considering the influence of individual difference of the Bluetooth devices;
and outputting the judgment result of each device to be tested.
6. The method according to claim 5, wherein the filtering process is performed on the multiple bluetooth received signal strength measurement values of each bluetooth device to be tested, and in order to perform median filtering on the bluetooth received signal strength values obtained through multiple measurements, the output of the median filtering is used as the experimental result of the bluetooth received signal strength of the bluetooth device to be tested.
7. The method of claim 6, wherein the median filtering is according to the following equation:
,
wherein,for the output of the median filtering, the filter is,indicating the bluetooth receiving message of the bluetooth device to be testedNumber strength No. 2nThe number of the measured values is,，Nthe total number of the measurements of the Bluetooth receiving signal strength of the Bluetooth equipment to be tested.
8. The method of claim 5, wherein the standard Bluetooth received signal strength training data set calculation threshold is in accordance with the following equation:
,
wherein,is a standard Bluetooth received signal strength training data setIs determined by the probability distribution function of (a),qis the probability of false alarm of the bluetooth received signal strength of a standard bluetooth device,is a threshold value; the formula shows that the measured value of the intensity of the Bluetooth receiving signal of the single standard Bluetooth equipment is lower than the threshold valueAnd further the probability of causing the standard bluetooth device to be erroneously detected as being unqualified isqIf the result of the filtering isIs less than the threshold valueIf not, the Bluetooth equipment to be tested is not qualified.
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| CN110441624A (en) * | 2019-07-08 | 2019-11-12 | 盐城华旭光电技术有限公司 | System and method for bluetooth mould group quality test |
| CN110505647A (en) * | 2019-08-12 | 2019-11-26 | 广州小鹏汽车科技有限公司 | Diagnostic method, diagnostic device, vehicle and storage medium |
| CN113852430A (en) * | 2021-08-17 | 2021-12-28 | 广东朝歌智慧互联科技有限公司 | Bluetooth equipment performance test system and test method under user environment |
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| CN110505647A (en) * | 2019-08-12 | 2019-11-26 | 广州小鹏汽车科技有限公司 | Diagnostic method, diagnostic device, vehicle and storage medium |
| CN113852430A (en) * | 2021-08-17 | 2021-12-28 | 广东朝歌智慧互联科技有限公司 | Bluetooth equipment performance test system and test method under user environment |
| CN113852430B (en) * | 2021-08-17 | 2023-08-22 | 广东朝歌智慧互联科技有限公司 | Bluetooth equipment performance test system and test method in user environment |
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