JP7149557B2 - SENSOR DEVICE, WIRELESS QUALITY ANALYZER, WIRELESS QUALITY MONITORING SYSTEM, DATA ACQUISITION METHOD AND PROGRAM - Google Patents

Description

The present invention relates to radio communication technology, and more particularly to radio quality monitoring technology.

IoT (Internet of Things) devices are being introduced into indoor environments such as factories, hospitals, and commercial facilities for the purpose of grasping and controlling the operation status of various devices.

For example, when wireless communication is used for the status management and control of manufacturing systems in environments such as factories, if communication is interrupted due to the effects of attenuation or interference of radio waves, the manufacturing process can be delayed or stopped. may lead to For this reason, particularly high quality is required for wireless communication.

It is desired to construct a system for monitoring radio quality problems and, if problems occur, providing information that leads to identification of the cause.

For example, Patent Document 1 discloses a system that receives a test frame transmitted for measuring wireless communication quality, evaluates the quality of wireless communication from the received signal strength, and stores the evaluation result in a database. disclosed.

JP 2015-33069 A

However, when radio communication quality is monitored using only received signal strength as in the above technique, it may not be possible to perform monitoring with sufficiently high accuracy.

When radio quality is monitored, the following problems arise.
(1) Acquisition of envelope data (signal waveform information) and header data (control information necessary for protocol operation) is effective in monitoring radio quality, but observing only one of them is problematic. There are cases where it is insufficient for the detection and cause identification of
(2) Since the amount of data of the envelope data is enormous as it is, it causes pressure on the communication band and storage capacity when transferring and storing the data.

Therefore, in view of the above problems, the present invention considers both data of the envelope data and the header data, and controls the amount of data to be handled from becoming enormous. An object is to realize a system, a wireless quality analysis device, a sensor device, a data acquisition method, and a program.

In order to solve the above problems, a first invention is a sensor device used in a wireless quality monitoring system including a wireless quality analysis device, comprising: an antenna for receiving a wireless signal; an RF processing unit; , an IQ data acquisition unit, an envelope data acquisition unit, and a header data acquisition unit.

The RF processing unit obtains a baseband signal by performing RF processing on the radio signal received by the antenna.

The synchronization time management unit acquires time synchronization information based on a single time axis that is commonly used in the radio quality monitoring system.

The IQ data acquisition unit acquires the I component data and the Q component data from the baseband signal, the I component data and the Q component data, and the time information when the I component data and the Q component data are acquired, Acquire IQ sample data associated with time information defined by a single time axis.

The envelope data acquisition unit acquires, from the IQ sample data, envelope data indicating characteristics of time-series data of the signal intensity of the baseband signal in association with time information defined by a single time axis.

The header data acquisition unit acquires header data from the frame header included in the baseband signal from the IQ sample data in association with time information defined by a single time axis.

Since this sensor device acquires both envelope data and header data associated with time information defined on a single time axis, the above data acquired by this sensor device is analyzed by a wireless quality analysis device. By analyzing, it is possible to appropriately identify the cause of deterioration of radio quality that cannot be identified by analyzing envelope data or header data alone. Therefore, a radio quality monitoring system using this sensor device can monitor radio quality with high accuracy.

A second invention is the first invention, wherein the envelope data acquisition unit acquires the signal intensity at each sample time from the IQ sample data, and the IQ sample data in which the acquired signal intensity is greater than a predetermined threshold. to get the envelope data.

As a result, the sensor device can efficiently reduce the envelope data, which generally has an enormous amount of data.

A third invention is the first or second invention, further comprising a storage unit for storing the IQ sample data, and an envelope data regeneration request processing unit.

The envelope data regeneration request processing unit executes envelope data regeneration processing for acquiring envelope data using the IQ sample data stored in the storage unit according to a request from the wireless quality analysis device.

As a result, when this sensor device receives a request to acquire envelope data from the wireless quality analysis device, it is possible to acquire the envelope data again using the IQ sample data stored in the storage unit. .

In a fourth invention based on the third invention, the envelope data regeneration request processing unit acquires envelope data with higher accuracy than the envelope data acquired by the envelope data acquisition unit. Execute line data regeneration processing.

As a result, when the sensor device receives a request to acquire envelope data from the wireless quality analysis device, the IQ sample data stored in the storage unit is used again to acquire more accurate envelope data. can do. Then, the sensor device transmits the acquired envelope data with higher accuracy to the radio quality analysis device, and the radio quality analysis device analyzes the radio quality using the envelope data, thereby improving the accuracy. high analysis becomes possible.

A fifth invention is the third or fourth invention, further comprising a data relay section for performing access control when storing the IQ sample data in the storage section.

The data relay section stops the storage processing of the IQ sample data in the storage section when a recording stop command for stopping the storage processing of the IQ sample data in the storage section is input.

Thus, in this sensor device, for example, when a situation that rarely occurs that degrades radio quality occurs, the recording of IQ sample data is stopped, and the IQ sample data is stored in a storage unit (for example, a ring buffer mechanism). storage device), and can prevent the IQ sample data from being rewritten (updated). Then, by analyzing the data in the storage unit in which the update of the record is stopped, it is possible to increase the possibility of identifying the cause when the wireless quality is degraded due to a situation that rarely occurs.

A sixth invention is the sensor device according to any one of the first to fifth inventions, and is a wireless quality analysis device used in a wireless quality monitoring system including one or more sensor devices. A radio quality analysis device includes an envelope data collection unit, a header data collection unit, and an analysis unit.

The envelope data collection unit collects envelope data acquired by each sensor device from one or more sensor devices.

The header data collection unit collects header data acquired by each sensor device from one or more sensor devices.

The analysis unit analyzes the envelope data collected by the envelope data collection unit and the header data collected by the header data collection unit on a single time axis to determine the radio quality of the radio environment to which the radio quality monitoring system belongs. to analyze.

Since this radio quality analysis device collects both envelope data and header data associated with time information defined on a single time axis from each sensor device, this radio quality analysis device collects By analyzing the obtained data, it is possible to appropriately identify the cause of radio quality deterioration that cannot be identified by analyzing the envelope data or the header data alone. Therefore, in a radio quality monitoring system using this radio quality analysis device, radio quality can be monitored with high accuracy.

In a seventh invention based on the sixth invention, the analysis unit requests envelope data regeneration processing for acquiring envelope data from the sensor device that has determined that the envelope data has insufficient accuracy. Generate a request signal.

As a result, the radio quality analysis device can request highly accurate envelope data from the sensor device only when it is determined that the analysis accuracy of the radio quality is not sufficient. In other words, if it can be determined that the analysis accuracy of radio quality is sufficient, the data volume of the envelope data acquired by the sensor device is suppressed, and the radio quality analysis is performed using envelope data with a large data volume only when necessary. It can be carried out. In other words, in this radio quality analysis device, both envelope data and header data are considered, and it is possible to perform highly accurate radio quality analysis and monitoring while suppressing an enormous amount of data to be handled. .

In an eighth invention based on the seventh invention, the analysis unit includes information specifying a period for reacquiring envelope data for the sensor device determined to have insufficient envelope data accuracy. , generates a request signal requesting the envelope data regeneration process.

As a result, it is possible to specify a period for reacquiring the envelope data and request the sensor device to execute the envelope data regeneration process.

A ninth invention is a radio quality monitoring system comprising the sensor device of any one of the first to fifth inventions and the radio quality analysis device of any one of the sixth to eighth inventions.

Accordingly, it is possible to realize a wireless quality monitoring system including the sensor device according to any one of the first to fifth inventions and the wireless quality analysis device according to any one of the sixth to eighth inventions.

A tenth aspect of the invention is a sensor device used in a wireless quality monitoring system including a wireless quality analysis device, and is a data acquisition method used in the sensor device including an antenna for receiving a wireless signal. The data acquisition method includes an RF processing step, a synchronization time management step, an IQ data acquisition step, an envelope data acquisition step, and a header data acquisition step.

The RF processing step obtains a baseband signal by performing RF processing on the radio signal received by the antenna.

The synchronization time management step acquires time synchronization information based on a single time axis that is commonly used in the radio quality monitoring system.

The IQ data acquisition step acquires I component data and Q component data from the baseband signal, and acquires the I component data and the Q component data as time information when the I component data and the Q component data are acquired, Acquire IQ sample data associated with time information defined by a single time axis.

The envelope data obtaining step obtains from the IQ sample data, envelope data indicating characteristics of time-series data of the signal intensity of the baseband signal in association with time information defined by a single time axis.

The header data obtaining step obtains header data from the frame header included in the baseband signal from the IQ sample data in association with time information defined by a single time axis.

Accordingly, it is possible to realize a data acquisition method having the same effect as the first invention.

An eleventh invention is a program for causing a computer to execute the data acquisition method of the tenth invention.

Accordingly, it is possible to realize a program for causing a computer to execute the data acquisition method having the same effect as the first invention.

According to the present invention, a radio quality monitoring system and a radio quality analysis that take both envelope data and header data into account and perform highly accurate radio quality monitoring while suppressing an enormous amount of data to be handled. Devices, sensor devices, data acquisition methods, and programs can be implemented.

1 is a schematic configuration diagram of a radio quality monitoring system 1000 according to a first embodiment; FIG. 1 is a schematic configuration diagram of a radio quality analysis device 100 according to the first embodiment; FIG. 2 is a schematic configuration diagram of a sensor device S_node1 according to the first embodiment; FIG. FIG. 4 is a diagram for explaining a graphical representation of envelope data; 4 is a diagram for explaining a data reduction method in an envelope data acquisition unit 24; FIG. FIG. 4 is a diagram for explaining a diagrammatic representation of header data; FIG. 4 is a diagram showing envelope data and header data of sensor device S_node1, sensor device S_node2, and sensor device S_node3 based on data Da_rst in rectangular representation. FIG. 2 is a schematic configuration diagram of a radio quality monitoring system 2000 according to a second embodiment; The schematic block diagram of 100 A of radio|wireless quality analysis apparatuses which concern on 2nd Embodiment. FIG. 10 is a schematic configuration diagram of a sensor device SA_node1 according to the second embodiment; FIG. 5 is a diagram for explaining a method of acquiring envelope data in a second mode; FIG. 10 is a diagram for explaining a method of acquiring envelope data in a third mode; FIG. 11 is a diagram for explaining a method of acquiring envelope data in a fourth mode; FIG. 11 is a schematic configuration diagram of a sensor device SB_node1 of a first modification of the second embodiment; FIG. 4 is a diagram showing a CPU bus configuration;

[First embodiment]
A first embodiment will be described below with reference to the drawings.

<1.1: Configuration of wireless quality monitoring system>
FIG. 1 is a schematic configuration diagram of a radio quality monitoring system 1000 according to the first embodiment.

FIG. 2 is a schematic configuration diagram of the wireless quality analysis device 100 according to the first embodiment.

FIG. 3 is a schematic configuration diagram of the sensor device S_node1 according to the first embodiment.

As shown in FIG. 1, the wireless quality monitoring system 1000 includes a wireless quality analysis device 100, one or a plurality of sensor devices (in FIG. A plurality of communication devices (communication device RbtA, communication device RbtB, and communication device RbtC in FIG. 1) are provided.

For convenience of explanation, as shown in FIG. 1, the wireless quality monitoring system 1000 includes three sensor devices: sensor device S_node1, sensor device S_node2, and sensor device S_node3. , and the communication device RbtC will be described below.

Communication device RbtA, communication device RbtB, and communication device RbtC are installed, for example, in a narrow space (for example, in a factory). The communication device RbtA, the communication device RbtB, and the communication device RbtC can wirelessly communicate with each other according to wireless LAN standards such as IEEE802.11a, b, g, n, and ac. Communication device RbtA, communication device RbtB, and/or communication device RbtC are, for example, machine tools with wireless communication functions.

The wireless quality analysis device 100 and one or more sensor devices are wirelessly or wiredly connected and can communicate with each other.

(1.1.1: Wireless quality analysis device)
As shown in FIG. 2, the radio quality analysis device 100 includes a first communication processing unit 11, a time synchronization data processing unit 12, an envelope data collection unit 13, a header data collection unit 14, and an analysis unit 15. , and a first communication interface 16 .

When transmitting data to the outside, the first communication processing unit 11 outputs data Da1 to the first communication interface 16 . Further, when receiving data from the outside, the first communication processing unit 11 inputs data Da1 from the first communication interface 16 . The first communication processing unit 11 receives, from the time synchronization data processing unit 12, time synchronization data Da_time_sync for performing time synchronization processing with sensor devices included in the wireless quality monitoring system 1000, and outputs the time synchronization data Da_time_sync. and output the generated data Da1 to the first communication interface 16 . Further, when receiving data Da1 including envelope data from each sensor device, the first communication processing unit 11 extracts the envelope data of each sensor device from the data Da1, and uses the extracted data as envelope data Da_env. , to the envelope data collection unit 13 . Further, when the first communication processing unit 11 receives data Da1 including header data from each sensor device, the first communication processing unit 11 extracts the header data of each sensor device from the data Da1, and uses the extracted data as header data Da_head. Output to the collection unit 14 .

The time synchronization data processing unit 12 generates time synchronization data Da_time_sync for performing time synchronization processing with the sensor device included in the wireless quality monitoring system 1000, and sends the generated time synchronization data Da_time_sync to the first communication processing unit 11. output to The time synchronization data processing unit 12 performs time synchronization for enabling time synchronization between the wireless quality analysis device 100 and the sensor device by protocols such as NTP (Network Time Protocol) and PTP (Precision Time Protocol). Data for Da_time_sync is generated.

The envelope data collection unit 13 receives the envelope data Da_env of each sensor device output from the first communication processing unit 11 . Envelope data collection unit 13 collects envelope data Da_env of sensor devices included in wireless quality monitoring system 1000 and outputs the collected data to analysis unit 15 as collected envelope data Da_env_all.

The header data collection unit 14 receives the header data Da_head of each sensor device output from the first communication processing unit 11 . Header data collection unit 14 collects header data Da_head of sensor devices included in wireless quality monitoring system 1000 and outputs the collected data to analysis unit 15 as collected header data Da_head_all.

The analysis unit 15 receives the collected envelope data Da_env_all output from the envelope data collection unit 13 and the collected header data Da_head_all output from the header data collection unit 14 . Then, the analysis unit 15 executes analysis processing based on the collected envelope data Da_env_all and the collected header data Da_head_all, and outputs data including the analysis result as data Da_rst.

The first communication interface 16 is, for example, a communication interface for transmitting and receiving data to and from an external device via a wired or wireless network. The first communication interface 16 converts the data Da1 output from the first communication processing unit 11 into data Da1_out in a format that allows communication via a wired or wireless network, and transmits the data Da1_out via the network. The first communication interface 16 also receives data Da1_in via the network. The first communication interface 16 converts the received data Da1_in into data Da1 that can be processed by the first communication processing unit 11 and outputs the data Da1 to the first communication processing unit 11 .

(1.1.2: Sensor device)
As shown in FIG. 3, the sensor device S_node1 includes an antenna Ant1, an RF processing unit 21, a synchronization time management unit 22, an IQ data acquisition unit 23, an envelope data acquisition unit 24, and a header data acquisition unit 25. , a data relay unit 26 , and a second communication interface 27 .

The antenna Ant1 is an antenna for receiving radio waves (RF signals) radiated (transmitted) from the outside. Note that the antenna Ant1 may be a transmission/reception antenna.

The RF processing unit 21 receives an RF signal from the outside via the antenna Ant1, performs RF processing for reception (RF demodulation processing, AD conversion, etc.) on the received RF signal, and converts the RF-processed signal Obtain Sig0 (eg, baseband OFDM signal). Then, the RF processing unit 21 outputs the RF-processed signal Sig<b>0 to the IQ data acquiring unit 23 .

The synchronization time management unit 22 inputs time synchronization data transmitted from the wireless quality analysis device 100 (master server) via the second communication interface 27 as data D_time_sync. The synchronization time management unit 22 acquires time information synchronized with other sensor devices based on the time synchronization data D_time_sync, and generates a control signal Ctl_t for determining the IQ data acquisition timing. The synchronization time management unit 22 then outputs the generated control signal Ctl_t to the IQ data acquisition unit 23 .

The IQ data acquisition unit 23 receives the signal Sig0 output from the RF processing unit 21 and the control signal Ctl_t output from the synchronization time management unit 22 . The IQ data acquisition unit 23 acquires the data (I component data) of the I component signal (in-phase component signal) and the data (Q component data), and outputs the acquired data to the envelope data acquisition unit 24 and the header data acquisition unit 25 as data D1_IQ.

The envelope data acquisition unit 24 receives the data D1_IQ output from the IQ data acquisition unit 23 and acquires time-series data D1_env of signal intensity from the data D1_IQ. The envelope data acquisition unit 24 then outputs the acquired data D1_env to the data relay unit 26 .

The header data acquisition unit 25 receives the data D1_IQ output from the IQ data acquisition unit 23 . The header data acquisition unit 25 performs demodulation processing on the data D1_IQ, and conforms to the specifications of the physical layer and MAC layer of the wireless system being used (the protocol used when the sensor device S_node1 performs wireless communication). Based on this, the bit string obtained by the demodulation process is interpreted. Then, the header data acquisition unit 25 acquires time-series data as a result of interpreting the bit string as data D1_head. The header data acquisition unit 25 then outputs the data D1_head to the data relay unit 26 .

The data relay unit 26 receives the data D1_env output from the envelope data acquisition unit 24 and the data D1_head output from the header data acquisition unit 25 . The data relay unit 26 outputs to the second communication interface 27 as data D1_env_head including the envelope data D1_env and the header data D1_head.

The second communication interface 27 is, for example, a communication interface for transmitting and receiving data to and from an external device via a wired or wireless network. The second communication interface 27 receives the data D1_env_head output from the data relay unit 26, converts the data D1_env_head into data in a format that allows communication via a wired or wireless network, and transmits the data to the outside (predetermined destination). The second communication interface 27 also receives data including time synchronization data D_time_sync via the network, extracts the time synchronization data D_time_sync from the received data, and converts the extracted time synchronization data D_time_sync to the synchronization time. Output to the management unit 22 . The second communication interface 27 and the synchronization time management unit 22 receive information for synchronization from the master server (for example, the wireless quality analysis device 100) through communication using protocols such as NTP and PTP.

Note that the sensor device S_node2 and the sensor device S_node3 have the same configuration as the sensor device S_node1.

<1.2: Operation of wireless quality monitoring system>
The operation of the radio quality monitoring system 1000 configured as above will be described below with reference to the drawings.

The time synchronization data processing unit 12 of the wireless quality analysis device 100 generates time synchronization data Da_time_sync for performing time synchronization processing with the sensor device included in the wireless quality monitoring system 1000 . Specifically, the time synchronization data processing unit 12 uses protocols such as NTP (Network Time Protocol) and PTP (Precision Time Protocol) so that time synchronization can be obtained between the wireless quality analysis device 100 and the sensor device. time synchronization data Da_time_sync for

The first communication processing unit 11 receives, from the time synchronization data processing unit 12, time synchronization data Da_time_sync for performing time synchronization processing with sensor devices included in the wireless quality monitoring system 1000, and outputs the time synchronization data Da_time_sync. and output the generated data Da1 to the first communication interface 16 .

The first communication interface 16 transmits data Da1 including time synchronization data Da_time_sync to each sensor device (sensor device S_node1, S_node2, S_node3) of the wireless quality monitoring system 1000 via a wired or wireless network.

Then, each sensor device receives data Da1 transmitted from the wireless quality analysis device 100 via a wired or wireless network, the second communication interface 27, and extracts time synchronization data Da_time_sync from the received data. Output to the synchronization time management unit 22 .

Since the operation of each sensor device is the same, the operation of the sensor device S_node1 will be described below.

The sensor device S_node1 receives radio waves (RF signals) radiated (transmitted) from the outside via the antenna Ant1.

The RF processing unit 21 performs reception RF processing (RF demodulation processing, AD conversion, etc.) on an RF signal received from the outside via the antenna Ant1, and obtains a signal Sig0 after the RF processing. Then, the RF-processed signal Sig<b>0 is output from the RF processing unit 21 to the IQ data acquisition unit 23 .

The synchronization time management unit 22 inputs time synchronization data transmitted from the wireless quality analysis device 100 (master server) via the second communication interface 27 as data D_time_sync. The synchronization time management unit 22 acquires time information synchronized with other sensor devices based on the time synchronization data D_time_sync, and generates a control signal Ctl_t for determining the IQ data acquisition timing. The synchronization time management unit 22 sets the same time axis as that of the other sensor devices based on the time synchronization data D_time_sync, and controls the IQ data acquisition unit 23 to acquire data on the same set time axis. to generate the control signal Ctl1.

The synchronization time management unit 22 then outputs the generated control signal Ctl_t to the IQ data acquisition unit 23 .

The IQ data acquisition unit 23 acquires the data (I component data) of the I component signal (in-phase component signal) and the data (Q component data). That is, the IQ data acquisition unit 23 acquires the I component data and the Q component data according to the control signal Ctl_t, thereby acquiring the data on the same time axis as the other sensor devices.

Specific processing in the IQ data acquisition unit 23 will be described below.

In the wireless quality monitoring system 1000, the wireless quality analysis device 100 can observe the envelope data and header data received from all the sensor devices on a single time axis. A set of (predetermined number) of IQ samples is timestamped. Here, a set of a predetermined number of IQ samples, which is a unit to which a time stamp is assigned, is called an "IQ sample group".

The IQ data acquisition unit 23 repeatedly performs the following operations (1) to (3).
(1) Acquire the current time from the synchronization time management unit 22 .
(2) Acquire a predetermined number of IQ samples (IQ sample group) from the RF processing unit 21, and give the time acquired in (1) as a time stamp to the IQ samples belonging to the IQ sample group.
(3) Output the set of time stamp and IQ sample group to the envelope data acquisition unit 24 and the header data acquisition unit 25 as data D1_IQ.

Below, the IQ sample group acquired at the k-th ( _k is a natural number) is denoted as Gk. Also, the i-th IQ sample when the samples belonging to G _k are arranged in order of acquisition is denoted as s _i ^(k) . That is, when the IQ sample group Gk includes _n (n: natural number) IQ samples, it is expressed as follows.
Gk = {t ^(k) _{, IQ_s1} ^(k) , _{IQ_s2} ^(k) , ..., _{IQ_sn} ^(k) }
t ^(k) : Timestamp (time information of current time (acquisition start time of IQ sample group G _k ))
IQ_s _i ^(k) = {I _i ^(k) , Q _i ^(k) }
I _i ^(k) : I component data of the i-th IQ sample of G _k Q _i ^(k) : Q component data of the i-th IQ sample of G _k The IQ data acquisition unit 23 acquired as described above. The IQ sample data is output to the envelope data acquisition unit 24 and the header data acquisition unit 25 as data D1_IQ.

The envelope data acquisition unit 24 acquires time-series data D1_env of signal intensity from the data D1_IQ output from the IQ data acquisition unit 23 . Specific processing of the envelope data acquisition unit 24 will be described below.

First, when the envelope data acquisition unit 24 receives data for each IQ sample group G _k as data D1_IQ from the IQ data acquisition unit 23, each IQ sample s _i ^(k) included in the IQ sample group G _k is The acquisition time t _i ^(k) of
t _i ^(k) = t ₁ ^(k) + (i-1)/r
r: Sampling rate (unit is "number of samples/second")
Calculated by Note that r is the sampling rate when the RF processing unit 21 acquires IQ samples.

The envelope data acquisition unit 24 performs processing using data (group-ungrouped data) in which the IQ sample groups are ungrouped and each IQ sample is arranged in order of acquisition time calculated by the above equation. In the group-ungrouped data, the i-th IQ sample is denoted as IQ_s _i ^(all) , the I component data of IQ_s _i ^{( all)} is denoted as _{I i} ^(all) , and the Q Component data is denoted as Q _i ^(all) . In addition, the i-th acquisition time of data arranged in chronological order after releasing the grouping of the acquisition time t _i ^(k) of each IQ sample (IQ_s _i ^(k) ) for each IQ sample group is denoted as t _i ^(all) . .

Then, the envelope data acquisition unit 24 calculates the intensity S_s _i ^(all) of each IQ sample IQ_s _i ^(all ) as
S_s _i ^(all) = 10 x log ₁₀ [{I _i ^(all) } ² + {Q _i ^(all) } ² ]
Acquired by processing equivalent to .

Then, the envelope data acquisition unit 24 acquires data that is a set of the signal strength S_s _i ^(all) of the i-th IQ sample and the acquisition time t _i ^(all) of the i-th IQ sample s _i ^(all) . , as data D1_env_all. The data obtained by the envelope data obtaining unit 24 as described above is expressed as follows.
_{D1_env_all} ={[ _{S_s1} ^(all) , t1( _all ⁾ ], [ _{S_s2} ^(all) , t2 ₍ ^all) ], ..., [ _{S_sm} ^(all) , tm ^(all) ]}
m: total number of samples included in each IQ sample group to be processed by the sensor device S_node1 Here, the graphical representation of the envelope data will be described.

FIG. 4 is a diagram for explaining a graphical representation of envelope data.

The upper diagram in FIG. 4 shows an example of signal Sig0 (eg, baseband OFDM signal), where the horizontal axis is time and the vertical axis is amplitude (signal value). The lower diagram in FIG. 4 is a diagram showing the signal intensity S (data D1_env) of the IQ samples obtained by the above processing in a rectangle (a diagram in which the approximated rectangle is shown), with the time axis aligned with the upper diagram in FIG. 4 . is. As can be seen from the lower diagram of FIG. 4, the envelope data D1_env (the signal strength S of the IQ samples) is graphically represented by a rectangle determined by the signal strength S and the duration over which the signal strength S is maintained. be able to.

From the data D1_env, the signal strength S (=S_s _i ^(all) ) of each IQ sample and its acquisition time t _i ^(all) can be known, so the time during which the signal strength S is maintained can be easily calculated. can be done.

The time-series data (data D1_env_all) that calculates the corresponding signal strength S_s _i ^(all) for all IQ samples is the most accurate data, but the amount of data is enormous, so reduce the amount of data preferably. Therefore, the envelope data acquisition unit 24 acquires data D1_env obtained by reducing data D1_env_all for all IQ samples. This will be described with reference to FIG.

FIG. 5 is a diagram for explaining the data reduction method in the envelope data acquisition unit 24. As shown in FIG. Data D1_env_all is shown in the upper diagram of FIG. 5, and reduced data D1_env is shown in the lower diagram of FIG.

The envelope data acquisition unit 24 discards (excludes from processing) sample data whose signal strength S is smaller than a predetermined threshold value Th1. Then, as shown in FIG. 5 , the envelope data acquisition unit 24 acquires, as data D1_env, a pair of the signal strength pk of the sample data whose signal strength S is greater than the threshold Th1 and the acquisition time tk. For example, in the lower diagram of FIG. 5, the signal strength at time t0 is p0, the signal strength at time t1 is p1, the signal strength at time t2 is p2, the signal strength at time t3 is p3, and When all of the signal intensities p0 to p3 are greater than the threshold Th1, the data D1_env is
D1_env={(t0, p0), (t1, p1), (t2, p3),...}
is obtained as

That is, the envelope data acquisition unit 24 acquires data D1_env by acquiring data corresponding to each rectangle shown in the lower diagram of FIG. do. Note that the duration of each rectangle shown in the lower diagram of FIG. 5 can be implicitly obtained from the reciprocal of the sampling rate, so it is not included in the data D1_env. This makes it possible to further reduce the data size of the envelope data.

As described above, the envelope data acquisition unit 24 acquires the data D1_env with the data size reduced, and outputs the acquired data D1_env to the data relay unit 26 .

The header data acquisition unit 25 performs demodulation processing on the data D1_IQ, and conforms to the specifications of the physical layer and MAC layer of the wireless system being used (the protocol used when the sensor device S_node1 performs wireless communication). Based on this, the header data is obtained by interpreting the bit string obtained by the demodulation process. The header data is time-series data obtained by extracting the information of the header portion of each frame for the sequence of frames obtained by decoding the bit sequence after demodulation based on the specifications of the target wireless system (IEEE 802.11a, etc.).

Typical information that can be extracted from the header portion includes the following information.
(1) source MAC address (2) destination MAC address (3) frame length (number of bytes)
(4) Frame type (Beacon, Data, Ack, etc.)
(5) retransmission flag (6) sequence number (7) data rate (6 Mbps, 54 Mbps, etc.)
Similarly to the envelope data acquisition unit 24, the header data acquisition unit 25 also performs processing using data (group-ungrouped data) in which the IQ sample groups are ungrouped and each IQ sample is arranged in order of acquisition time. .

The header data acquisition unit 25 acquires the header data by associating the IQ samples after the above group cancellation with the acquired header data. A method of obtaining header data will be described below.

FIG. 6 is a diagram for explaining a graphical representation of header data.

The upper diagram of FIG. 6 shows an example of signal Sig0 (eg, baseband OFDM signal), where the horizontal axis is time and the vertical axis is amplitude (signal value). The lower diagram in FIG. 6 is a diagram in which each frame acquired from the IQ samples is represented by a rectangle, with the time axis aligned with the upper diagram in FIG. 6 . In the lower diagram of FIG. 6, one rectangle represents frames having the same header data.

For the start time and duration of each rectangle (a frame), the number of IQ samples used to decode each frame to obtain a graphical representation of the header data as shown in Figure 6 below. can be obtained from the acquisition time of the first IQ sample and the acquisition time of the last IQ sample.

Therefore, the header data acquisition unit 25 acquires the header data corresponding to each rectangle in the lower diagram of FIG. 6 as data in the following format as described above.
(tk, dk, hk)
tk: Frame start time tk: Frame duration hk: Information extracted from the frame header (source MAC address, etc.)
Then, the header data acquisition unit 25 acquires a plurality of header data included in the period to be processed as header data D1_head in the following format.
D1_head={(t1, d1, h1), (t1, d2, h2), (t3, d3, h3),...}
Note that the header information hk allows the first and second frames in FIG. 6 to be data (Data (A −>B)), and the third frame in FIG. 6 is an ACK from node B to node A (denoted as Ack (B−>A)).

The header data D1_head acquired by the header data acquisition unit 25 as described above is output to the data relay unit 26 .

The data relay unit 26 outputs data including the data D1_env output from the envelope data acquisition unit 24 and the data D1_head output from the header data acquisition unit 25 to the second communication interface 27 as data D1_env_head.

Second communication interface 27 transmits data D1_env_head output from data relay unit 26 to wireless quality analysis device 100 via a wired or wireless network.

Wireless quality analysis device 100 receives data including data D1_env_head transmitted from sensor device S_node1 via first communication interface 16 . Then, first communication processing unit 11 of radio quality analysis device 100 extracts data D1_env_head from the data received by first communication interface 16, and further extracts envelope data and header data from data D1_env_head. The first communication processing unit 11 then outputs the extracted envelope data as data Da_env to the envelope data collection unit 13 and outputs the extracted header data as data Da_head to the header data collection unit 14 .

Further, in the wireless quality analysis device 100, the data transmitted from the sensor device S_node2 and the sensor device S_node3 are also processed in the same manner as described above.

Envelope data collection unit 13 collects envelope data Da_env of sensor devices included in wireless quality monitoring system 1000 and outputs the collected data to analysis unit 15 as collected envelope data Da_env_all.

Header data collection unit 14 collects header data Da_head of sensor devices included in wireless quality monitoring system 1000 and outputs the collected data to analysis unit 15 as collected header data Da_head_all.

The analysis unit 15 performs analysis processing based on the collected envelope data Da_env_all output from the envelope data collection unit 13 and the collected header data Da_head_all output from the header data collection unit 14, and includes analysis results. Data is output as data Da_rst. The radio quality of the radio quality monitoring system 1000 can be analyzed by displaying the data Da_rst on, for example, a display device (not shown).

FIG. 7 is a diagram (one example) showing envelope data and header data of the sensor device S_node1, the sensor device S_node2, and the sensor device S_node3 in rectangular representation based on the data Da_rst. In FIG. 7, the envelope data of the sensor device X is indicated as D1_env(X), and the envelope data of the sensor device X is indicated as D1_head(X).

As can be seen from FIG. 7, the data Da_rst allows the envelope data and header data of the sensor device S_node1, the sensor device S_node2, and the sensor device S_node3 to be displayed on a single (identical) time axis.

In the area R0 of FIG. 7, the envelope data and header data corresponding to the same IQ data are displayed, and it can be seen that the communication is properly performed.

In region R1 in FIG. 7, it can be seen that one signal is received by a plurality of sensor devices (sensor device S_node1, sensor device S_node3).

In the region R2 in FIG. 7, it can be seen that the envelope data can be observed, but the corresponding header data is not observed due to radio wave attenuation, interference, or the like.

In region R3 in FIG. 7, one signal is received by a plurality of sensor devices (sensor device S_node1, sensor device S_node2), but one sensor device S_node2 does not demodulate it correctly. This is presumed to be due to, for example, different reception intensities at different positions of the sensor device.

In the area R4 in FIG. 7, from the header data (Data (A->B)) acquired by the sensor device S_node1 at the time t1 to t2, the communication device A (corresponding to the communication device RbtA in FIG. 1) at the time t1 to t2. communication device) to communication device B (communication device corresponding to communication device RbtB in FIG. 1). In the period following time t2 (for example, the period from time t3 to t4), it is expected that Ack will be transmitted from communication device B to communication device A, but the Ack is not transmitted. I understand.

Looking at the envelope data acquired by the sensor device S_node2 in the region R4 of FIG. 7, it can be seen that the signal strength increases from the middle of the period from time t1 to t2. It can be inferred that the signal from the communication device A is superimposed with interference noise. In other words, it can be assumed that the signal transmitted from communication device A to communication device B was not correctly demodulated during the period from time t1 to t2 due to the influence of this interference noise.

Thus, the analysis result data Da_rst acquired by the wireless quality analysis device 100 can be used to identify the cause of the communication error.

Then, using the analysis result data Da_rst acquired by the wireless quality analysis device 100, the following countermeasures can be taken to improve the wireless quality.
(1) For example, if the frame loss is caused by interference waves, identify the equipment that is the cause of the interference waves, and take countermeasures such as changing the position of the equipment or changing the frequency used for communication. .
(2) For example, if the frame loss is caused by insufficient signal strength, take measures such as shortening the distance between the transmitting side and the receiving side or increasing the transmission power of the transmitting side.

As described above, in the wireless quality monitoring system 1000, both envelope data and header data can be collected from each sensor device, and data analysis can be performed on a single (same) time axis. It is possible to appropriately identify the cause of deterioration of radio quality that cannot be identified by analyzing line data or header data alone. Therefore, the radio quality monitoring system 1000 can monitor the radio quality with high precision.

[Second embodiment]
Next, a second embodiment will be described.

Parts similar to those of the above-described embodiment are given the same reference numerals, and detailed description thereof is omitted.

In the wireless quality monitoring system of the second embodiment, when it is determined that the accuracy of wireless quality monitoring is not sufficient, the sensor device is requested to regenerate the envelope data, and more accurate envelope data is acquired. , to ensure the accuracy of the radio quality. That is, in the radio quality monitoring system of the second embodiment, by adjusting the accuracy of radio quality monitoring and the data amount of envelope data, the data amount of envelope data is suppressed while the accuracy of radio quality monitoring is increased. Secure.

<2.1: Configuration of wireless quality monitoring system>
FIG. 8 is a schematic configuration diagram of a radio quality monitoring system 2000 according to the second embodiment.

FIG. 9 is a schematic configuration diagram of a radio quality analysis device 100A according to the second embodiment.

FIG. 10 is a schematic configuration diagram of the sensor device SA_node1 according to the second embodiment.

A wireless quality monitoring system 2000 of the second embodiment replaces the wireless quality analysis device 100 with a wireless quality analysis device 100A in the wireless quality monitoring system 1000 of the first embodiment, and replaces the sensor devices S_node1, S_node2, and S_node3 with The configuration is replaced with the sensor devices SA_node1, SA_node2, and SA_node3.

100 A of radio quality analysis apparatuses have the structure which replaced the 1st communication process part 11 with the 1st communication process part 11A in the radio quality analysis apparatus 100, and replaced the analysis part 15 with the analysis part 15A.

The first communication processing unit 11A has the same function as the first communication processing unit 11, and furthermore, a signal output from the analysis unit 15A requesting the sensor device x to regenerate the envelope data. Enter Req(x). Note that the request signal Req(x) includes information specifying a period for acquiring envelope data for the sensor device x. Further, the request signal Req(x) may include information specifying a method of acquiring envelope data for the sensor device x.

The first communication processing unit 11A then transmits the request signal Req(x) to the sensor device (sensor device x) via the first communication interface 16 and the network.

In addition to the functions of the analysis unit 15, the analysis unit 15A analyzes the envelope data and header data collected from each sensor device, and when it is determined that the accuracy of the radio quality analysis is not ensured, analyzes the envelope data. A sensor device x to be re-requested is specified, and a signal Req(x) for requesting reacquisition of envelope data is generated from the specified sensor device x. The analysis unit 15A then outputs the generated request signal Req(x) to the first communication processing unit 11A.

The first communication processing unit 11A then transmits the request signal Req(x) from the analysis unit 15A to the sensor device x via the first communication interface 16 and the network.

As shown in FIG. 10, the sensor device SA_node1 replaces the envelope data acquisition unit 24 with an envelope data acquisition unit 24A, replaces the data relay unit 26 with a data relay unit 26A, and performs the second communication in the sensor device S_node1. It has a configuration in which the interface 27 is replaced with a second communication interface 27A, and a storage unit Strg1 and an envelope data regeneration request processing unit 28 are added.

The envelope data acquisition section 24A has the same function as the envelope data acquisition section 24. FIG. The envelope data acquisition unit 24A acquires envelope data whose data amount is further reduced from the envelope data acquired by the envelope data acquisition unit 24 of the first embodiment.

The data relay section 26A has functions similar to those of the data relay section 26 . The data relay unit 26A further inputs the data D1_IQ output from the IQ data acquisition unit 23 in the data relay unit 26 . Then, the data relay unit 26A generates data D1A_IQ by combining the data of each IQ sample of the input data D1_IQ and the data of the acquisition time of the data, and outputs the generated data D1A_IQ to the storage unit Strg1.

The storage unit Strg1 stores data D1A_IQ (IQ sample data) output from the data relay unit 26A. The storage unit Strg1 has, for example, a ring buffer mechanism, stores the data D1A_IQ output from the data relay unit 26A as long as its storage capacity allows, and deletes the oldest data when the storage capacity is exceeded. , to store new data. The storage unit Strg1 also outputs the stored data (IQ sample data) to the envelope data regeneration request processing unit 28 as data D2_IQ in accordance with the read request from the envelope data regeneration request processing unit 28 .

Second communication interface 27A, in addition to the same functions as the second communication interface, receives request signal Req (SA_node1) addressed to sensor device SA_node1 transmitted from wireless quality analysis device 100, and requests the received request signal. It is output to the envelope data regeneration request processing unit 28 as a signal Req1. Second communication interface 27A also receives data D2_env output from envelope data regeneration request processing unit 28, and transmits the data D2_env to radio quality analysis apparatus 100A via the network.

Upon receiving a signal Req1 requesting regeneration of envelope data (request signal Req1) from the second communication interface 27A, the envelope data regeneration request processing unit 28 regenerates envelope data according to the request signal Req1. (Reacquire). Specifically, the envelope data regeneration request processing unit 28 acquires the IQ sample data necessary for regenerating the envelope data from the storage unit Strg1 as the data D2_IQ, and regenerates the envelope data from the acquired data. . Then, the envelope data regeneration request processing unit 28 outputs the regenerated envelope data as data D2_env to the second communication interface 27A.

<2.2: Operation of the wireless quality monitoring system>
The operation of the radio quality monitoring system 2000 configured as above will be described below.

Note that the description of the same parts as in the first embodiment will be omitted. Also, since the processes executed by the sensor device SA_node1, the sensor device SA_node2, and the sensor device SA_node3 are the same, the processing executed by the sensor device SA_node1 will be described below.

The envelope data acquisition unit 24A acquires envelope data by the envelope data acquisition method in the second mode in order to further reduce the amount of envelope data compared to the first embodiment. The envelope data acquisition method in the envelope data acquisition unit 24 in the first embodiment (the method described with reference to FIG. 5) is referred to as the envelope data acquisition method in the first mode.

FIG. 11 is a diagram for explaining the envelope data acquisition method in the second mode. The upper diagram in FIG. 11 shows the data D1_env_all, and the lower diagram in FIG. 11 shows the envelope data D1_env acquired in the second mode, with the time axes aligned.

In the envelope data acquisition method in the second mode, the envelope data acquisition unit 24A obtains the signal intensity equal to or higher than the intensity threshold value Th1 for the time-series data of the signal intensity S acquired by the envelope data acquisition method in the first mode. For a set of continuous data with , the envelope is represented by a pair of the time at the start and the duration. For example, from the data D1_env_all in the upper diagram of FIG. 11, a period in which data whose signal strength S is equal to or greater than the threshold Th1 is identified, the start time tk of the identified period and the duration dk of the period are obtained, and the envelope Line data. That is, in the second mode envelope data acquisition method, the envelope data D1_env is acquired in the following data format.
D1_env={(t1, d1), (t2, d2),...}
As described above, the data D1_env acquired by the envelope curve data acquisition method of the second mode is composed of data having only information that the signal intensity is equal to or greater than the threshold Th1 in a predetermined period and that duration. Therefore, the data volume can be considerably reduced compared to the envelope data acquisition method of the first mode.

Then, in the sensor device SA_node1, the envelope data acquired by the envelope data acquisition method of the second mode is transmitted to the wireless quality analysis device 100A by the same processing as in the first embodiment.

The analysis unit 15A of the radio quality analysis device 100A monitors the radio quality from the envelope data acquired by the envelope data acquisition method of the second mode, using the sensor device SA_node1. As a result of the monitoring, when it is determined that more accurate envelope data needs to be obtained from the sensor device SA_node1, the analysis unit 15A requests the sensor device SA_node1 to regenerate the envelope data. A request signal Req (SA_node1) is generated. The first communication processing unit 11A transmits transmission data including the request signal Req (SA_node1) to the sensor device SA_node1 via the first communication interface 16 and the network.

The second communication interface 27A receives a request signal Req (SA_node1) addressed to the sensor device SA_node1, which is transmitted from the wireless quality analysis device 100, and treats the received request signal as the request signal Req1 as an envelope data regeneration request processing unit. 28.

Upon receiving a signal Req1 requesting regeneration of envelope data (request signal Req1) from the second communication interface 27A, the envelope data regeneration request processing unit 28 regenerates envelope data according to the request signal Req1. (Reacquire).

Specifically, the envelope data regeneration request processing unit 28 specifies a period to be reacquired from the request signal Req1, and in the specified period, the envelope data is reproduced from the storage unit Strg1. is obtained as data D2_IQ, and the envelope data is regenerated from the obtained data. At this time, the envelope data regeneration request processing unit 28 uses the first mode envelope data acquisition method (the method described in the first embodiment, using FIG. 5) that is more accurate than the second mode envelope data acquisition method. Envelope data is acquired (regenerated) by the method described in Section 1).

Then, the envelope data regeneration request processing unit 28 outputs the regenerated envelope data as data D2_env to the second communication interface 27A.

Second communication interface 27A transmits data D2_env output from envelope data regeneration request processing unit 28 to radio quality analysis device 100A via the network.

The radio quality analysis device 100A receives the more accurate envelope data regenerated (reacquired) by the sensor device SA_node1, and uses the envelope data to monitor and analyze the radio quality.

As described above, in the wireless quality monitoring system 2000, by efficiently reducing the envelope data, which generally has a huge amount of data, the pressure on the communication band and storage capacity during data transfer and data storage can be efficiently reduced. can be effectively prevented. In addition, both envelope data and header data can be collected from each sensor device and data analysis can be performed on a single (same) time axis. It is possible to appropriately identify the cause of deterioration of radio quality that cannot be identified by analysis.

Furthermore, in the wireless quality monitoring system 2000, when more accurate envelope data is required as a result of the analysis of the wireless quality, the more accurate envelope data is sent to the sensor device that has acquired the envelope data. is reacquired, and the more accurate envelope data can be used to perform more accurate radio quality analysis.

In this manner, the radio quality monitoring system 2000 considers both the envelope data and the header data, and performs highly accurate radio quality monitoring and analysis while suppressing an enormous amount of data to be handled. can be done.

In the above description, the envelope data acquisition method in the second mode has been described as a method for reducing the amount of envelope data executed by the envelope data acquisition unit 24A. For example, other methods may be used to reduce the amount of envelope data.

Here, as methods for acquiring envelope data while reducing envelope data, a method for acquiring envelope data in the third mode and a method for acquiring envelope data in the fourth mode will be described.

<<Envelope data acquisition method in the third mode>>
FIG. 12 is a diagram for explaining the envelope data acquisition method in the third mode. The upper diagram in FIG. 12 shows the data D1_env_all, and the lower diagram in FIG. 12 shows the envelope data D1_env acquired in the third mode, with the time axes aligned.

In the envelope data acquisition method in the third mode, the time slot width Tw is set in advance. Then, in the method of acquiring envelope data in the third mode, time is continuously divided by the time slot width Tw, and for each time slot, the maximum value and the average value of the signal strength for the set of data acquired in the first mode Calculate the value, the minimum value. Envelope data is represented by a set of the time at the start of a time slot and the maximum, average, and minimum signal strength values in that time slot.

In the case of FIG. 12, the time slot width Tw is a period corresponding to three sample periods. Envelope data is represented by a set of the maximum value pkmax, the average value pkave, and the minimum value pkmin.

Then, in the envelope data acquisition method of the third mode, the envelope data D1_env is acquired in the following data format.
D1_env={(t1, p1max, p1ave, p1min), (t2, p2max, p2ave, p2min),...}
The duration corresponding to each element of the envelope data D1_env is determined by the time slot width Tw.

As described above, the data D1_env acquired by the third mode envelope data acquisition method can be considerably reduced in data capacity compared to the case of acquiring data for each IQ sample.

<<Envelope data acquisition method in the fourth mode>>
FIG. 13 is a diagram for explaining the envelope data acquisition method in the fourth mode. The upper diagram in FIG. 13 shows the data D1_env_all, and the lower diagram in FIG. 13 shows the envelope data D1_env acquired in the fourth mode, with the time axes aligned.

In the envelope data acquisition method in the fourth mode, an intensity difference threshold Th2 is set in advance. Then, in the envelope data acquisition method in the fourth mode, the following procedure is executed for the time series of signal intensities acquired in the first mode.

Let 'a' be the signal strength at a certain point in time. In addition, the signal intensity that caused an intensity difference exceeding the intensity difference threshold Th2 in the most recent past before that is set to "b". At this time, in the envelope data acquisition method according to the fourth mode, if the absolute value of the difference between the value a and the value b exceeds the threshold Th2, the acquisition time of the IQ sample having the signal intensity of the value a is recorded, and , the value a is recorded as the new value of the value b. Then, when a signal intensity after the value a exceeds the intensity difference threshold value Th2 for the first time, it is assumed that the same signal intensity as the value a continues until that time. In the envelope data acquisition method in the fourth mode, envelope data is represented by repeating this procedure.

In the case of FIG. 13, at time t1, the difference between the signal strength values a and b exceeds the threshold Th2, and after four sample intervals, the difference between the signal strength values a and b reaches the threshold Th2. Exceeds Th2.

Therefore, as shown in the lower diagram of FIG. 13, data whose value is maintained at the signal strength p1 is acquired in the four-sample interval from time t1. That is, data corresponding to the leftmost rectangle in the lower diagram of FIG. 13 is obtained. Similarly, data corresponding to the rectangle shown in the lower diagram of FIG. 13 is obtained.

Then, in the envelope data acquisition method of the fourth mode, the envelope data D1_env is acquired in the following data format.
D1_env={(t1, d1, p1), (t2, d2, p2), (t3, d3, p3),...}
tk: Sample acquisition time dk: Duration pk: Signal intensity As described above, the data D1_env acquired by the envelope data acquisition method in the fourth mode has a higher The data capacity can be considerably reduced.

Note that the envelope data acquisition unit 24A and/or the envelope data regeneration request processing unit 28 may acquire envelope data by the above-described multiple mode envelope data acquisition methods. good. In this case, for example, the wireless quality analysis device 100A transmits a signal designating the envelope data acquisition method to be executed by the envelope data acquisition unit 24A and/or the envelope data regeneration request processing unit 28 to the sensor device. However, even if the envelope data acquisition unit 24A and/or the envelope data regeneration request processing unit 28 of the sensor device acquires the envelope data by the envelope data acquisition method of the mode determined by the signal, good.

<<First Modification>>
Next, the 1st modification of 2nd Embodiment is demonstrated.

Parts similar to those described above are denoted by the same reference numerals, and detailed description thereof will be omitted.

FIG. 14 is a schematic configuration diagram of the sensor device SB_node1 of the first modification of the second embodiment.

A first modification of the second embodiment differs from the second embodiment in that the sensor device is replaced with a sensor device having the configuration shown in FIG. Otherwise, the first modification of the second embodiment is the same as the second embodiment.

The sensor device SB_node1 has a configuration in which the data relay unit 26A is replaced with the data relay unit 26B in the sensor device SA_node1. Otherwise, the data relay section 26A is the same as the data relay section 26B.

The data relay unit 26B inputs a command cmd_stop from the outside to stop recording the data D1_IQ in the storage unit Strg1. When the command cmd_stop is input, the data relay unit 26B stops recording the data D1_IQ in the storage unit Strg1.

Note that the command cmd_stop may be input to the data relay unit 26B by the user pressing a switch or the like provided in the sensor device SB_node1, or may be input from the wireless quality analysis device 100A to the sensor device SB_node1. , data including the command cmd_stop may be transmitted and input to the data relay unit 26B from the second communication interface.

When radio quality is degraded due to rare conditions, it is generally difficult to identify the cause. In such a case, when the situation occurs, in order to investigate the cause of the radio quality deterioration, the radio quality in the situation is degraded by analyzing the most recent IQ sample data when the situation occurred. You are more likely to find the cause.

In this modified example, when a situation that rarely occurs that degrades the radio quality as described above occurs, a command cmd_stop to stop recording the IQ sample data is output to the sensor device SB_node1. The IQ sample data is stored in the storage unit Strg1 (storage device having a ring buffer mechanism) to prevent the IQ sample data from being rewritten (updated). As a result, in the radio quality monitoring system of this modified example, it is possible to increase the possibility of identifying the cause when the radio quality is degraded due to the rare situation as described above.

[Other embodiments]
In the above embodiments (including modifications), the wireless quality monitoring system has the configuration shown in FIG. 1, but the configuration of the wireless quality monitoring system is not limited to the above (FIG. 1, etc.). , the position, number, etc. of the sensor devices may be other than those described above. Also, in the above description, the case where the sensor device exists separately from the communication device has been described, but the present invention is not limited to this. may be

Further, in the above-described embodiments (including modifications), the case where the wireless quality analysis device has a master server function that performs time synchronization processing of the wireless quality analysis device and the sensor device using protocols such as NTP and PTP has been described. However, it is not limited to this, and for example, a master server that performs time synchronization processing may be provided separately.

Further, when the wireless quality analysis device and the sensor device of the above embodiments (including modifications) communicate wirelessly, the antenna of the sensor device is used to communicate between the wireless quality analysis device and the sensor device. good too.

Further, in the wireless quality monitoring system described in the above embodiments (including modifications), each block may be individually integrated into one chip by a semiconductor device such as an LSI, or may be integrated into one chip so as to include part or all of the blocks. It may be chipped.

Although LSI is used here, it may also be called IC, system LSI, super LSI, or ultra LSI depending on the degree of integration.

Further, the method of circuit integration is not limited to LSI, and may be implemented by a dedicated circuit or a general-purpose processor. An FPGA (Field Programmable Gate Array) that can be programmed after the LSI is manufactured, or a reconfigurable processor that can reconfigure the connections and settings of the circuit cells inside the LSI may be used.

Also, part or all of the processing of each functional block in each of the above embodiments may be implemented by a program. Part or all of the processing of each functional block in each of the above embodiments is performed by a central processing unit (CPU) in a computer. A program for performing each process is stored in a storage device such as a hard disk or ROM, and is read from the ROM or RAM and executed.

Further, each process of the above embodiments may be realized by hardware, or may be realized by software (including cases where it is realized together with an OS (operating system), middleware, or a predetermined library). Furthermore, it may be realized by mixed processing of software and hardware.

Further, for example, when the functional units of the above embodiments (including modifications) are implemented by software, the hardware configuration shown in FIG. Each functional unit may be realized by software processing using a hardware configuration connected by a Bus.

Also, the execution order of the processing methods in the above embodiments is not necessarily limited to the description of the above embodiments, and the execution order can be changed without departing from the gist of the invention.

A computer program that causes a computer to execute the method described above and a computer-readable recording medium that records the program are included in the scope of the present invention. Examples of computer-readable recording media include flexible disks, hard disks, CD-ROMs, MOs, DVDs, DVD-ROMs, DVD-RAMs, large-capacity DVDs, next-generation DVDs, and semiconductor memories. .

The computer program is not limited to being recorded on the recording medium, and may be transmitted via an electric communication line, a wireless or wired communication line, a network represented by the Internet, or the like.

The specific configuration of the present invention is not limited to the above-described embodiment, and various changes and modifications are possible without departing from the gist of the invention.

1000, 2000 Wireless quality monitoring system 100, 100A Wireless quality analyzer 13 Envelope data collector 14 Header data collector 15, 15A Analysis unit S_node1, S_node2, S_node3, SA_node1, SA_node2, SA_node3, SB_node1 Sensor device Ant1 Antenna 21 RF processing Unit 22 Time Management Unit for Synchronization 23 IQ Data Acquisition Units 24, 24A Envelope Data Acquisition Unit 25 Header Data Acquisition Units 26, 26A, 26B Data Relay Unit 28 Envelope Data Regeneration Request Processing Unit Strg1 Storage Unit

Claims (11)

A sensor device used in a wireless quality monitoring system including a wireless quality analysis device,
an antenna for receiving radio signals;
an RF processing unit that acquires a baseband signal by performing RF processing on a radio signal received by the antenna;
A synchronization time management unit that acquires time synchronization information based on a single time axis that is a time axis commonly used in the radio quality monitoring system;
I component data and Q component data are acquired from the baseband signal, and time information when the I component data and the Q component data are acquired, wherein the unit an IQ data acquisition unit that acquires IQ sample data associated with the time information defined by one time axis;
an envelope data acquisition unit that acquires, from the IQ sample data, envelope data representing characteristics of time-series data of the signal intensity of the baseband signal in association with the time information defined by the single time axis; ,
A frame header included in the baseband signal is obtained by performing demodulation processing on the IQ sample data, header data is extracted from the obtained frame header, and the extracted header data is transferred to the unit. a header data acquisition unit that acquires in association with the time information defined by one time axis;
A sensor device comprising: The envelope data acquisition unit,
Obtaining the signal strength at each sample time from the IQ sample data, and obtaining the envelope data using the IQ sample data whose obtained signal strength is greater than a predetermined threshold,
A sensor device according to claim 1 . a storage unit that stores the IQ sample data;
an envelope data regeneration request processing unit that executes envelope data regeneration processing for acquiring the envelope data using the IQ sample data stored in the storage unit according to a request from the radio quality analysis device; ,
further comprising
3. The sensor device according to claim 1 or 2. The envelope data regeneration request processing unit
(1) Envelope data is acquired by acquiring the IQ sample whose signal strength is greater than a predetermined threshold, and acquiring data in which the acquired IQ sample and the acquisition time of the IQ sample are combined. a first method to
(2) setting a time slot with a time slot width, continuously dividing the time by the time slot width, and for each time slot, the maximum value and average value of the signal strength obtained during the time slot period; , and by calculating the minimum value and obtaining data that sets the time at the start of the time slot and the maximum, average, and minimum signal strength values in the time slot, the envelope a second method of obtaining data; and
(3) setting an intensity difference threshold of signal intensity, and if the difference between the signal intensity of the IQ sample sampled last time and the signal intensity of the IQ sample sampled this time exceeds the intensity difference threshold, acquire the acquisition time ts of the IQ sample and the signal value p(ts) of the IQ sample, further continue the sampling process of the IQ sample, and then the signal strength of the IQ sample sampled last time and when the difference in signal intensity of the IQ sample sampled this time exceeds the intensity difference threshold, the acquisition time te of the IQ sample sampled this time is acquired, and (A) the acquisition time ts of the IQ sample and , (B) the signal value p(ts) of the IQ sample, and (C) the time d between the acquisition time ts of the IQ sample and the acquisition time te of the IQ sample. A third method of obtaining envelope data at
Execute the envelope data regeneration process by any of the methods of
The sensor device according to claim 3.

further comprising a data relay unit that performs access control when storing the IQ sample data in the storage unit;
The data relay unit stops the storage processing of the IQ sample data in the storage unit when a recording stop command for stopping the storage processing of the IQ sample data in the storage unit is input.
5. The sensor device according to claim 3 or 4. 6. The sensor device according to any one of claims 1 to 5, which is a wireless quality analysis device used in a wireless quality monitoring system including one or more of the sensor devices,
an envelope data collection unit that collects the envelope data acquired by each sensor device from one or more of the sensor devices;
a header data collection unit that collects the header data acquired by each sensor device from one or more of the sensor devices;
By analyzing the envelope data collected by the envelope data collection unit and the header data collected by the header data collection unit on the single time axis, the radio environment to which the radio quality monitoring system belongs can be analyzed. an analysis unit that analyzes radio quality;
A radio quality analysis device comprising: The analysis unit
As a result of data analysis processing using the envelope data acquired from a predetermined sensor device, the envelope data is acquired from the predetermined sensor device by a different acquisition method in order to improve the accuracy of the data analysis result. if it is determined to do so, generating a request signal for requesting envelope data regeneration processing for obtaining envelope data to the predetermined sensor device;
The radio quality analysis device according to claim 6. The analysis unit
As a result of data analysis processing using the envelope data acquired from a predetermined sensor device, the envelope data is acquired from the predetermined sensor device by a different acquisition method in order to improve the accuracy of the data analysis result. generating a request signal for requesting the envelope data regeneration process, including information specifying a period for reacquiring the envelope data, to the predetermined sensor device,
The radio quality analysis device according to claim 7. a sensor device according to any one of claims 1 to 5;
a radio quality analysis device according to any one of claims 6 to 8;
A radio quality monitoring system comprising: A data acquisition method for use in a sensor device for use in a radio quality monitoring system including a radio quality analysis device, the sensor device including an antenna for receiving radio signals, comprising:
an RF processing step of obtaining a baseband signal by performing RF processing on the radio signal received by the antenna;
A synchronization time management step of acquiring time synchronization information based on a single time axis that is a time axis commonly used in the radio quality monitoring system;
I component data and Q component data are acquired from the baseband signal, and time information when the I component data and the Q component data are acquired, wherein the unit an IQ data acquisition step of acquiring IQ sample data associated with the time information defined by one time axis;
an envelope data obtaining step of obtaining, from the IQ sample data, envelope data indicating characteristics of time-series data of the signal intensity of the baseband signal in association with the time information defined by the single time axis; ,
By performing demodulation processing on the IQ sample data, a frame header included in the baseband signal is obtained , header data is extracted from the obtained frame header, and the extracted header data is used as the above a header data acquisition step for acquiring in association with the time information defined by a single time axis;
A data acquisition method comprising: A program for causing a computer to execute the data acquisition method according to claim 10.

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