JP2021072531A - Radio wave survey system - Google Patents

Abstract

To provide a radio wave survey system that can estimate the cause of radio interference at low cost, quickly, and with high quality.SOLUTION: A radio wave survey system 1 includes a plurality of communication terminals 3 dispersedly arranged in a survey area, and an analysis server 5. The communication terminal 3 includes a terminal-side receiving unit 7 that receives radio waves and a terminal-side transmitting unit 10 that transmits radio wave information received by the terminal-side receiving unit 7. The analysis server 5 includes a cause estimation unit that estimates cause affecting the radio wave reception in the survey area on the basis of position information, radio wave information, spatial information, and peripheral information related to the plurality of communication terminals 3. The communication terminal 3 further includes a terminal-side radio wave condition abnormality detection unit 51 and a terminal-side abnormality state control unit 52, such that the amount of detection information related to the radio wave information of the communication terminal that has detected the abnormality is controlled so as to be larger than that in the steady state.SELECTED DRAWING: Figure 12

Description

The present invention relates to a wireless radio wave survey system for investigating the radio wave reception status of various standards such as wireless LAN.

As the above-mentioned radio wave survey, a site survey, which is a survey of the radio wave condition before the installation of the access point and a survey of the current radio wave condition after the installation of the access point, is well known.
The site survey is a survey to confirm what kind of intrusion wave is in general before installing the access point, calculate the newly introduced access point after installing the access point, and confirm whether the radio wave environment is as designed. ..

For example, it is common practice to provide a wireless LAN (Local Area Network) in an office in a building and wirelessly connect each electronic device in the office. In this case as well, the site survey allows the access point to be installed in a place where the radio wave environment is improved.
In the conventional site survey, as illustrated in Patent Document 1 below, a specialized investigator uses a special device (portable measuring instrument or measuring trolley) to look at the computer screen showing the reception status at multiple locations. The radio wave environment was being investigated.

On the other hand, the Government of Japan recommends three technologies, "IOT", "AI", and "Big Data", announces that it aims for the Fourth Industrial Revolution as a guideline for the 21st century, and actively develops social infrastructure and legislation. The aims.
In the future, it is expected that the number of devices that transmit information wirelessly will increase dramatically all over the world, not to mention Japan, due to the progress of "IOT", and it is thought that wireless networks will spread to all fields.
Therefore, it is expected that the demand for investigation of whether or not wireless reception is properly performed will increase year by year.

Japanese Unexamined Patent Publication No. 2006-125951

However, even if the above site survey is taken, there is a problem that skill and know-how are required for the survey conducted by a specialized investigator, and the time required for measurement and the economic cost are also high.
Not only wireless LAN, but also Bluetooth (registered trademark) and various other wireless standards are expected to increase in the future, and how to avoid the occurrence of interference and interference is an issue.
In addition, next-generation mobile communication "5G" is scheduled to realize ultra-high-speed communication of 10 Gbps with low power like Wi-Fi, and information transmission between electronic devices connected by wire is becoming more wireless. , It is quantitatively difficult to deal with it by human work as in Patent Document 1.
Under these circumstances, it is feared that troubles of wireless failure will occur frequently in the future.
On the other hand, in the above site survey, even if the survey area is wide, the radio wave reception status and the state where a failure due to suspicious radio wave is occurring are detected as soon as possible in each office or survey area, and the abnormal status is detected. A technology that can inform site survey personnel in an easy-to-understand manner has been desired, but the current situation is that such a technology does not exist.

An object of the present invention is to provide a radio wave survey system capable of solving the current state of the prior art and each problem.
Another object of the present invention is to provide a radio wave investigation system capable of estimating the cause of radio wave interference at low cost, quickly, and with high quality.
Another object of the present invention is, for example, to provide a radio wave investigation system which has a wide investigation area and can detect anomalies at low cost even when processing a large amount of data.
The problems of the inventions other than those described above, the means for solving the problems, and the effects thereof will be described in detail in the description in the specification described later.

In the radio wave survey system according to the present invention, the "basic technical configuration 1" is a radio wave survey system having a plurality of communication terminals distributed in a survey area and an analysis server on a network.
The communication terminal includes at least one type of terminal-side receiving unit that receives radio waves related to the investigation target, and a terminal-side transmitting unit that transmits radio wave information received by the terminal-side receiving unit to the analysis server on the network. And have
The radio wave survey system includes a position information storage unit that stores the position information of the plurality of communication terminals, and a radio wave information storage unit that stores the radio wave information obtained in time series with the passage of time for each of the plurality of communication terminals. And a spatial information storage unit that stores spatial information at the position where the plurality of communication terminals are arranged, and a radio wave abnormality detection unit that detects an abnormality related to radio wave reception of each communication terminal based on the radio wave information and the spatial information. It is characterized by having and.
In the above-mentioned "basic technical configuration 1", a plurality of communication terminals are distributed and arranged in the survey area, and for example, if necessary, radio wave information with the passage of time is continuously provided for a long period of time. Obtained for each communication terminal. Further, since the radio wave abnormality detection unit detects an abnormality related to radio wave reception of each communication terminal based on the radio wave information and the spatial information, the abnormality detection can be easily grasped in a form that is easy to understand both temporally and spatially. ..
Further, the "basic technical configuration 2" is a radio wave survey system having a plurality of communication terminals distributed in the survey area and an analysis server on the network.
The communication terminal includes at least one type of terminal-side receiving unit that receives radio waves related to the investigation target, and a terminal-side transmitting unit that transmits radio wave information received by the terminal-side receiving unit to the analysis server on the network. And have
The radio wave survey system stores the position information storage unit that stores the position information of the plurality of communication terminals, and the radio wave information obtained in time series with the passage of time for each of the plurality of communication terminals and for each radio wave type. A radio wave information storage unit, a spatial information storage unit that stores spatial information at a position where the plurality of communication terminals are arranged, a peripheral information storage unit that stores peripheral information at a position where the plurality of communication terminals are arranged, and a peripheral information storage unit. It is characterized by having a cause estimation unit that estimates a cause affecting radio wave reception in the survey area based on the position information, the radio wave information, the spatial information, and the peripheral information.
It is also possible to configure another embodiment by combining any one of the following other forms with respect to the above-mentioned "basic technical configuration 1" or "basic technical configuration 2". ..
The radio wave survey system according to the present invention is a radio wave survey system having a plurality of communication terminals distributed in a survey area and an analysis server on a network.
The communication terminal includes at least one type of terminal-side receiving unit that receives radio waves related to the investigation target, and a terminal-side transmitting unit that transmits radio wave information received by the terminal-side receiving unit to the analysis server on the network. And have
The radio wave survey system stores the position information storage unit that stores the position information of the plurality of communication terminals, and the radio wave information obtained in time series with the passage of time for each of the plurality of communication terminals and for each radio wave type. A radio wave information storage unit, a spatial information storage unit that stores spatial information at a position where the plurality of communication terminals are arranged, a peripheral information storage unit that stores peripheral information at a position where the plurality of communication terminals are arranged, and a peripheral information storage unit. A cause estimation unit that estimates a cause affecting radio wave reception in the survey area based on the position information, the radio wave information, the spatial information, and the peripheral information.
A terminal-side radio wave condition abnormality detection unit that detects an abnormality in the radio wave reception state of at least one of the communication terminals, and a control so that the amount of detection information related to the radio wave information of the communication terminal that has detected the abnormality is larger than in the steady state. It is characterized by having an abnormal state control unit on the terminal side.
The cause estimation unit can be configured to include a machine learning unit using machine learning.

Spatial information includes "body information such as wooden structures, reinforcing bars, concrete, etc." that is usually considered in site surveys.
Spatial information includes, for example, information on the floor of a room such as an office, floor plan information in a building or room, stairs, the position of a garden, electronic devices in the room, the position of an information terminal that can be connected to the Internet, etc. And information about the structure, such as changing its position and changing the layout in the room. It is more preferable that the electronic device is an electronic device that can grasp the position in the room in a network. This grasp of spatial information can be similarly applied to the inventions according to other claims according to the present patent application.
Structure information, which is a type of spatial information, includes internal information of structures such as subway premises, trains, and ships.
As the peripheral information, information such as geographic information, building information, and road layout around the building in which the room is located can be exemplified.

In the configuration according to the present invention, a plurality of communication terminals are distributed and arranged in the investigation area, and, for example, if necessary, radio wave information with the passage of time continuously over a long period of time is transmitted to each communication terminal and. Since it is obtained for each radio wave type, long-term fluctuations and abnormalities in radio wave reception can be detected. In addition, the cause estimation unit takes into account not only position information, spatial information, and radio wave information, but also peripheral information, which is information on external geographical conditions and map conditions, and is based on radio wave information that is continuous for a period of time. Since the causes of various radio wave reception obstacles are estimated, various possibilities can be automatically examined in a wide range without being affected by human experience and skill level, and the causes of radio wave reception obstacles can be estimated accurately.
Further, the terminal-side radio wave state abnormality detection unit detects a state in which at least one communication terminal has an abnormality in the radio wave reception state, and the terminal-side abnormality state control unit detects the abnormality in the detection information amount of the communication terminal. Since it is controlled to be more than the fixed time, more detailed data can be transmitted or stored in the abnormal state than in the steady state. Therefore, the estimation accuracy of the cause estimation unit can be improved.

In another embodiment of the present invention, the amount of detected information is increased by increasing the amount of data communication per unit time regarding the radio wave information between the communication terminal that has detected the abnormality and the analysis server. It is characterized by being struck.
With this configuration, even in a system with a large number of communication terminals, it is not necessary to increase the amount of data communication in a steady state that is not an abnormal state, so even if the processing capacity on the analysis server side is relatively low, it can be dealt with. There are advantages.
Another embodiment according to the present invention is characterized in that the increase in the amount of data communication is performed by setting the radio wave reception data transmission interval from the communication terminal to be shorter than in the steady state.
With this configuration, it is possible to increase the amount of data communication with a simple configuration.

Another embodiment according to the present invention is characterized by having a time domain display unit that displays a radio wave reception level in the time domain, including at least the communication terminal that has detected an abnormality.
With this configuration, it becomes easy to grasp the temporal transition of the communication terminal related to the abnormality in the short time interval set at the time of the abnormality.

Another embodiment according to the present invention is characterized by having a spatial area display unit that displays the spatial arrangement of the surrounding range including at least the communication terminal that has detected an abnormality.
The surrounding range of the communication terminal in which an abnormality is detected can be exemplified by a survey range such as in a room or a building, or a survey range within a predetermined distance such as a preset radius. Simply, the peripheral range may be set in the survey area.
With this configuration, since the spatial area display unit displays the surrounding spatial arrangement including at least the communication terminal that has detected the abnormality, it becomes easy to grasp the spatial arrangement such as the installation position of the communication terminal in which the abnormality has occurred.

In another embodiment of the present invention, the communication terminal is displayed so that it can be identified in the time domain and / or the spatial area display of the communication terminal in which an abnormality is detected by the instruction of the system user or the system. It is characterized by having a mutual cooperation unit.
With this configuration, the mutual cooperation unit can easily identify the communication terminal that has detected the abnormality in the display of the time domain and / or the spatial domain. Further, since the time domain and the spatial domain can be displayed in a state of being linked to each other by the mutual cooperation unit, the degree of grasping the abnormality can be improved by the user.

In another embodiment of the present invention, the radio wave information whose amount of detected information has increased and the radio wave information detected by the abnormal state detection unit and the operation information of the information terminal existing in the predetermined space where the communication terminal is arranged are used. , The cause estimation unit estimates the cause affecting the radio wave reception in the investigation area.
The driving information generated by the information terminal can be exemplified by information related to driving, communication, etc. such as stopping and starting the information terminal and shifting to a specific functional state.
With this configuration, it is possible to estimate the cause including the influence on various information devices.

Another embodiment according to the present invention is characterized in that it has a peripheral range information storage unit that stores information about the peripheral range, and the peripheral range is set by a predetermined value or a calculated value. To do.
The concept of "surrounding range information" can also be grasped as information for determining the extent to which the communication terminal is included in the display of the time domain or the spatial region with respect to the communication terminal in which the abnormality is detected.
With this configuration, when displaying the surrounding spatial arrangement including the communication terminal that has detected the abnormality, it is possible to increase the variation of setting the degree of "surrounding range information" corresponding to the abnormal situation to a preferable range.

In another embodiment of the present invention, there are a plurality of types of radio waves related to the investigation target, and the communication terminal has a plurality of types of the terminal-side receiving units corresponding to the plurality of types, and the plurality of the said terminals. Of the receivers on the terminal side, the influence detection unit that detects the degree to which one type of radio wave affects the reception of other types of radio waves, and the system receives abnormal reception based on the detected influence. It is characterized by having a cause estimation unit for estimating the cause of adverse effects of at least one other type of radio wave on the radio wave for which the cause of the above is to be estimated.
Also in this form, the cause estimation unit can be configured to include a machine learning unit using machine learning.

With this configuration, the influence detection unit detects the degree to which one type of radio wave affects the reception of the other type of radio wave, and the cause estimation unit detects the degree of influence detected, and the cause of the abnormality is abnormal. Estimate the cause of adverse effects of at least one other type of radio wave on the radio wave for which you are trying to estimate. Since the communication terminal has a plurality of types of terminal-side receivers capable of receiving a plurality of types of radio waves, it is possible to easily and accurately identify the cause of a wireless abnormality such as interference between a wireless LAN and Bluetooth.

In another embodiment of the present invention, the plurality of communication terminals are configured by a general-purpose mobile communication terminal such as a smartphone, and software for causing the general-purpose mobile communication terminal to execute a process performed by the communication terminal is provided in advance. It is characterized by having been installed.
With this configuration, since the plurality of communication terminals are composed of general-purpose mobile communication terminals such as smartphones, a wireless radio wave survey system can be constructed at a lower cost than manufacturing a communication terminal dedicated to this system.

Another embodiment according to the present invention is characterized in that the plurality of communication terminals are composed of permanent communication terminals permanently installed in a room or outdoors.
With this configuration, since it is permanently installed, radio wave information that can search for the cause of radio wave reception failure can be transmitted to the analysis server until the device fails, for example, 10 to 20 years.

In another embodiment of the present invention, when investigating the investigation area, the plurality of communication terminals are used together with a mobile communication terminal temporarily provided and a permanent communication terminal permanently installed in a room or outdoors. It is characterized by being configured by doing.
With this configuration, since the mobile communication terminal and the permanent communication terminal are used together, the reception status can be grasped in detail by combining the short-term survey and the long-term survey. That is, by combining the radio wave information over a long period of time with the radio wave information obtained from a newly provided mobile communication terminal, for example, when some trouble occurs, a more detailed investigation can be made possible.

In another embodiment of the present invention, the cause estimation unit includes an abnormal radio wave information detection unit that detects an abnormality in radio wave information, the position information at the time of an abnormality accumulated in the past, the radio wave information, the spatial information, and the above. Peripheral information and an abnormality cause estimation model obtained by performing machine learning by using the position information, the radio wave information, the spatial information, and the peripheral information at the time of normal as input data and giving the cause of the abnormality as teacher data. When detected by the abnormal radio wave information detection unit, the cause of the abnormality in the current state is determined by the abnormality cause estimation model using the position information, the radio wave information, the spatial information, and the peripheral information as input data. It is characterized by estimating.
With this configuration, since the current abnormality is estimated in the time domain in which the current abnormality can be detected based on the accumulation of the data of the past abnormality, the estimation time of the cause can be remarkably shortened as compared with the human judgment. When an abnormality is detected, the cause can be estimated in real time at almost the same time. In addition, the anomaly cause estimation model generated by machine learning correlates position information, radio wave information, spatial information, and peripheral information without human prejudice, so it is possible to increase the accuracy of cause estimation rather than human accuracy. Become.

If normal information and abnormal information can be collected for customers who have adopted a permanent communication terminal under a contract that does not reveal personal information such as location and measurement location, information on all customers who have adopted the system. Therefore, it is relatively easy to accumulate and acquire a large number of abnormal and normal data sets (the position information, the radio wave information, the spatial information, and the peripheral information) necessary for supervised learning. is there.

In another embodiment of the present invention, the abnormality is a periodic abnormality, the abnormal radio wave information detecting unit is a periodic abnormality radio wave information detecting unit for detecting the periodic abnormality, and the abnormality cause estimation model is a periodic abnormality. It is characterized by being a cause estimation model.
Examples of causes of periodic abnormalities include radio interference caused by the operation of buses equipped with Wi-Fi functions and the like, and the passage of trains and mobile objects equipped with various communication functions.
It is rare that a completely new cause of radio wave reception failure occurs every time, and the radio wave reception failure associated with human and machine activities often repeats periodically with human and machine activities. Therefore, with this configuration, it is possible to increase the possibility that many problems related to radio wave reception can be solved in a short time by computer-processing the periodic abnormality cause estimation model by machine learning.

In another embodiment of the present invention, the communication terminal includes a plurality of permanent communication terminals, and the terminal-side receiving unit has a function of receiving radio radio waves used by a communication terminal having a Wi-Fi function. It is characterized by including a suspicious communication terminal detection unit that detects that a suspicious mobile terminal has invaded the monitoring area based on a plurality of received information obtained from the plurality of permanent communication terminals.
In relation to the above configuration, the communication terminal is a plurality of permanent communication terminals, the terminal-side receiving unit has a function of receiving radio waves emitted from an unconfirmed radio wave source, and the unconfirmed radio wave source is a monitoring area. It is also possible to have a configuration including an unconfirmed radio wave source detection unit that detects the intrusion into the radio wave source based on a plurality of received information obtained from the plurality of permanent communication terminals.
Also in this form, the suspicious communication terminal detection unit or the unconfirmed radio wave source detection unit includes a machine learning unit that uses position information, at least one type of radio wave information, spatial information, and peripheral information in the permanent communication terminal. can do.
With this configuration, the suspicious communication terminal detection unit or unconfirmed radio source detection unit is based on a plurality of received information obtained from a plurality of permanent communication terminals that a suspicious mobile terminal or unconfirmed radio source has invaded the monitoring area. Can be detected. In particular, by installing a permanent communication terminal, it is possible to grasp the normal state in advance, so that it is possible to accurately and quickly detect that a communication terminal having a suspicious Wi-Fi function or an unidentified radio wave source has invaded.

In another embodiment of the present invention, the suspicious communication terminal detection unit or the unidentified radio wave source detection unit includes a radio wave information change supplement unit that supplements changes in radio wave information from the plurality of permanent communication terminals in chronological order. It is characterized by being.
With this configuration, if a suspicious communication terminal or an unidentified radio wave source invades the monitoring area and then moves to the monitoring area, the reception intensity of the received radio waves of the plurality of permanent communication terminals changes with the movement. .. By supplementing the change, for example, it becomes possible to identify the movement route of a suspicious communication terminal from the time of intrusion, and information such as the current position of the suspicious communication terminal or an unidentified radio source can be accurately and quickly obtained. Can be detected.

As described above, according to the present invention, it has been possible to provide a radio wave investigation system capable of estimating the cause of radio wave interference at low cost, quickly, and with high quality.
According to the present invention, for example, it is possible to provide a wireless radio wave investigation system which has a wide investigation area and can detect anomalies at low cost even when processing a large amount of data.

It is a block diagram for demonstrating a plurality of communication terminals provided in the investigation area in 1st Embodiment of this invention. It is a block diagram for demonstrating the analysis server in 1st Embodiment of this invention. It is a flowchart which shows an example of the process performed by the communication terminal in 1st Embodiment of this invention. It is a flowchart which shows an example of the process performed by the analysis server in 1st Embodiment of this invention. It is a figure which shows an example which arranged a plurality of communication terminals in a building in 1st Embodiment of this invention. (A) and (b) are diagrams for explaining an example of peripheral information according to the first embodiment of the present invention, respectively. It is a block diagram for demonstrating an example of an analysis server in 2nd Embodiment of this invention. In the second embodiment of the present invention, it is a perspective view which shows the permanent communication terminal provided on the ceiling as an example. It is a figure for demonstrating the 2nd Embodiment of this invention, and is the figure for demonstrating the detection example of the periodic pattern concerning radio wave information. FIG. 5 is a block diagram of an example of an analysis server that detects that a suspicious communication terminal such as a stray Wi-Fi has invaded the monitoring area in the third embodiment of the present invention. It is a schematic diagram for demonstrating the detection of a suspicious communication terminal in the 3rd Embodiment of this invention. It is a block diagram which shows an example of the structure of the communication terminal used in 4th Embodiment of this invention. It is a block diagram which shows an example of the analysis server in 4th Embodiment of this invention. It is a figure for demonstrating the abnormality of the in-house wireless access point detected by the terminal side radio wave state abnormality detection part in the 4th Embodiment of this invention. It is a figure for demonstrating the abnormality of the unconfirmed wireless access point detected by the terminal side radio wave state abnormality detection part in the 4th Embodiment of this invention. In the fourth embodiment of the present invention, it is a figure which shows an example of the setting screen of the threshold value and alert mail which is determined to be abnormal in the system. It is a figure which shows the display screen which showed an example of the spatial area display in 4th Embodiment of this invention. It is a figure which shows the display screen which showed an example of the time domain display in 4th Embodiment of this invention. In the 4th embodiment of the present invention, it is a flowchart which shows an example of the processing of the embodiment which increases the amount of detection information of a communication terminal at the time of an abnormality more than at the normal time. FIG. 20A is a diagram for explaining a fourth embodiment of the present invention, FIG. 20A is a diagram for explaining a data transmission process in a steady state, and FIG. 20B is a diagram for explaining a data transmission process in an abnormal state. It is a figure for demonstrating. It is a flowchart which shows an example of the process of time domain display and space domain display in 4th Embodiment of this invention.

Next, an embodiment of the radio wave survey system of the present invention will be described in more detail with reference to the drawings.
In the present invention, the wireless radio wave survey system determines the reception state of a communication terminal, an electronic device, or the like that receives radio waves from an access point within a time width having a certain length (for example, 3 days, 1 week, etc.). It is a system whose purpose is to investigate.
The "radio wave" in this specification includes a radio wave having a short reach such as an access point used for a wireless LAN and a radio wave having a long reach such as a base station over several tens of kilometers. Can also be included.

[First Embodiment]
1 to 6 are diagrams for explaining the radio wave investigation system 1 according to the first embodiment of the present invention.
As shown in FIGS. 1 and 2, the radio wave survey system 1 includes a plurality of communication terminals 3 ₁ arranged dispersed in survey area _2, 3 2, _..., 3 n _(see FIG. 2: hereinafter, the communication terminal 3) and an analysis server 5 on the network 4.
The survey area 2 is an area in which a range in which a customer wants to investigate a location of a room with poor reception by a wireless LAN in an office, interference with an external radio wave, or the like is specified according to a customer's request. In this embodiment, a configuration for setting a survey range by wireless LAN is exemplified.
As shown in FIG. 1, the communication terminal 3 has at least one type of terminal-side receiving unit 7 that receives radio waves. For example, a first receiving unit 7a that receives radio from an access point targeting a wireless LAN, a second receiving unit 7b that receives Bluetooth radio, and a third receiving unit having a connection terminal for connecting to an external antenna 7d. It has 7c. When receiving a radio of a standard different from that of the built-in wireless LAN, the external antenna 7d is used to receive the radio by the third receiving unit 7c.
The communication terminal 3 includes a received radio wave processing unit 8 that processes received radio waves received from each of the receiving units 7a to 7c, a terminal side storage unit 9 that processes and stores necessary information, and a terminal side transmitting unit 10. It has a display unit 11 such as an organic EL display.
In this specification, the network 4 is used in a concept including a widely used communication network such as the Internet, an intranet, and a cloud, and an information transmission system.

As shown in FIG. 2, the analysis server 5 has a server-side receiving unit 13 and a server-side transmitting unit 14.
The analysis server 5 stores the position information storage unit 15 that stores the position information of the plurality of communication terminals 3 as the storage unit that stores various information, and the radio wave information obtained by the passage of time for each of the plurality of communication terminals 3 and each radio wave type. The radio wave information storage unit 16 that stores the radio information storage unit 16 and the spatial information storage unit 17 that stores the spatial information of the position where the plurality of communication terminals 3 are arranged, and the peripheral information of the position where the plurality of communication terminals 3 are arranged are stored. It has a peripheral information storage unit 18, a normal radio wave information storage unit 19, an abnormal radio wave information storage unit 20, and a notification information storage unit 21.

Further, the analysis server 5 has an abnormal state detection unit 22 and a cause estimation unit 24.
In this embodiment, the abnormal state detection unit 22 includes the reception level detection unit 23.
Of the receiving units 7a to 7c, the reception level detection unit 23 sets the wireless LAN to its own wireless environment when the external wireless radio wave exceeds the first threshold value for some reason, for example, when the wireless LAN is set as the wireless radio wave to be monitored. It is configured to determine that it has an adverse effect, select the wording stored in the notification information storage unit 21, and issue a warning to the person in charge. If the reception output of the company's wireless LAN is lower than the second threshold value, it is determined that it is difficult to connect to the corresponding wireless LAN, and the wording stored in the notification information storage unit 21 is selected. It is configured to warn the person in charge.
In the configuration shown in FIG. 2, the cause estimation unit 24 has an influence degree detection unit 25 that detects the degree to which one type of radio wave affects the reception of another type of radio wave.

The degree of influence of the influence degree detection unit 25 is, for example, interference between the wireless LAN and Bluetooth, interference between the wireless LAN and radio waves of other standards (hereinafter referred to as other standard radio waves), and interference between Bluetooth and other standard radio waves. It is a numerical value or data that serves as an index for detecting an adverse effect such as interference of received radio waves due to interference. This influence degree is calculated by the influence degree detection unit 25 of the analysis server 5 by, for example, processing such as correlating the wireless LAN radio wave intensity and the Bluetooth radio wave intensity.

For example, only when Bluetooth is turned on, if the reception condition of the communication terminal 3 placed at a certain arrangement position becomes very poor, the influence of the Bluetooth device near the arrangement position of the communication terminal 3 is affected. The cause can be estimated if it is received.
Even when analyzing the interference between the wireless radio waves of other standards and the wireless LAN, in the present embodiment, since a plurality of communication terminals 3 are dispersedly arranged in the investigation area 2, the degree of interference between the communication terminals 3 is different. , Correlation, etc. makes it possible to estimate the base station related to the interfering radio waves. If such an estimation can be made, it will be easier to take measures against radio wave abnormalities.

FIG. 3 is a flowchart showing an example of processing mainly performed by the received radio wave processing unit 8 in each type of radio wave corresponding to the three types of radio waves received by the first receiving unit 7a to the third receiving unit 7c. Is.
As shown in FIG. 3, for each communication terminal 3 placed in the survey area 2 (see FIG. 2, the same applies hereinafter), the position information by GPS, the spatial information such as the corner room on the second floor of the building, and the surrounding information are provided. It is read from each database (step SP1), stored in the terminal side storage unit 9 at predetermined time intervals in correspondence with radio wave information such as radio wave reception status for each radio wave type (step SP2), and at least in the analysis server 5 at predetermined time intervals. Radio wave information is transmitted (step SP3) to end the process. In many cases, it is better to read the spatial information and the peripheral information from the analysis server 5.

FIG. 4 is a flowchart showing an example of processing by the analysis server 5.
In FIG. 4, the radio wave to be investigated is set in the investigation area 2 (see FIG. 2, the same applies hereinafter) (step SP31), each communication terminal 3 to be measured is recognized (step SP32), and spatial information and peripheral information are obtained from the database. Obtained by capturing or accessing (step SP33), receives various radio wave information of each communication terminal for a predetermined period (step SP34), and the abnormal state detection unit 22 receives radio waves of each communication terminal 3 in the received radio wave condition. In, it is determined whether it is in the normal range or the abnormal range (step SP35), and if it is determined to be normal, the normal radio wave information is stored in the normal radio wave information storage unit 19 (step SP36), and it is abnormal. If it is determined that, the abnormal radio wave information is stored in the abnormal radio wave information storage unit 20 (step SP37), and for example, the abnormal state detection unit 22 detects the reception level for an urgent abnormality such as an extremely low reception level. The analysis server 5 automatically notifies the survey requester by detecting it by various detection units such as unit 23 (step SP38).
Then, the cause estimation unit 24 estimates the cause by a predetermined processing procedure according to the program processing based on the information from the abnormal state detection unit 22 (step SP39), notifies the person in charge of the estimated cause, and displays it on the display unit 11 of the communication terminal 3. (Step SP40).

The process according to the first embodiment will be further described.
FIG. 5 is a diagram showing an example in which an area spanning a plurality of rooms in a building is set as a survey area 2.
As shown in FIG. 5, small portable communication terminals 3 such as smartphones in which the wireless survey software is installed are installed in various places in a plurality of rooms. As for the places where such communication terminals 3 are arranged, it is possible to adopt a configuration in which each place in one room or a staircase is provided as shown in FIG. In the form shown in FIG. 5, the case where two communication terminals 3 are arranged in the investigation area 2 is shown, but of course, it is also possible to install a large number of communication terminals 3 in the investigation area 2.
Since the communication terminal 3 is composed of a smartphone, it can be placed in a place or position where it is difficult for a measuring device such as the measuring trolley disclosed in Japanese Patent Application Laid-Open No. 2006-125951 to measure, for example, a wall surface of a room or a staircase. It can be provided, and the height position to be provided can be freely set. For example, if necessary, it can be provided at a location such as a ceiling position or an attic, so that the measurement accuracy can be improved.

FIG. 6 is a diagram for explaining the benefits obtained by the configuration of the present embodiment, FIG. 6 (a) is a plan view showing the geographical situation around the building which is the survey area, and FIG. 6 (b) is a plan view. It is a front view which shows the case where the walls of two buildings are close to each other.
As shown in FIG. 6A, there is a road 29 near the building 28 with respect to the building 28 which is the survey area 2, and buses (not shown) pass through the road 29 at predetermined time intervals. Is recorded in the peripheral information in advance. Since an access point with a Wi-Fi function may be installed on the bus, there is a possibility that the reception condition of the wireless LAN will deteriorate in the room near the road 29 in the survey building 28 due to the passage of the bus. .. In addition, if there is a facility 30 such as a factory that generates various radio waves nearby, its influence cannot be ignored.

Further, as shown in FIG. 6B, when the distance D between the walls of the two buildings 31 and the building 32 is very narrow and the buildings 31 and 32 are close to each other, the access point of the adjacent building Radio waves may interfere.
By grasping and storing detailed peripheral information including the surrounding environment in advance, the computer automatically automatically arranges the plurality of communication terminals 3 in the survey area 2. It is possible to increase the degree of prediction when estimating the cause of an abnormality.
Peripheral information can include information on various events, such as concerts and festivals, where many people gather, and information on various schedules related to places and facilities existing in the surrounding area.
It is clear that there is a large difference in the causes of radio interference between single-family homes surrounded by forests and completely vacant lots, and roads, buildings or facilities in close proximity. In addition, the comings and goings of people may also cause radio interference.
If a general-purpose smartphone is used as in the present embodiment, it is inexpensive and it becomes easy to identify the cause of the reception failure at each location in the building, including the case where the existing setting of the company's access point is bad. ..

[Second Embodiment]
7 to 9 are diagrams for explaining the radio wave investigation system 1 according to the second embodiment of the present invention, respectively.
This second embodiment has two characteristic points. The first feature is a plurality of permanent-type communication device 27 _1, 27 2, _..., and that the provision of the 27 _n, the second feature is a point to estimate the cause of the periodic wave abnormalities using machine learning.
Also in the second embodiment, the same configuration as that shown in FIG. 1 of the first embodiment can be adopted as the configuration of the plurality of communication terminals 3. In this second embodiment,
(1) Instead of the plurality of communication terminals 3 small handheld, such as a smart phone, a plurality of permanent-type communication device _{27 1,} 27 2, ..., configuration in which only 27 _n,
(2) A configuration in which a small portable communication terminal 3 and a permanent communication device 27 are both provided in the survey area 2.
Two forms can be adopted. The block diagram of FIG. 7 shows a configuration in which both the small portable communication terminal 3 and the permanent communication device 27 are provided. In this case, the permanent communication device 27 is a continuous investigation for a long period of time, and the small portable communication terminal 3 is often an investigation due to a sudden abnormality.

In the configuration shown in FIG. 8, it is preferable that a plurality, preferably a large number, of the permanent communication devices 27 are provided on the ceiling at a fixed area. For example, ^{if the ceiling is 100 m 2} , about 3 to 4 can be provided.
As described above, the place where the permanent communication device 27 is provided can be exemplified not only by the ceiling but also by a wall, a floor and the like. It can also be attached to a ceiling-embedded electric device 26 such as a lighting device, and the power source of the electric device 26 can be used as a power source of the permanent communication device 27.
In general, there is also a strong desire to monitor wireless radio waves for 365 days, 24 hours a day, constantly, or to know the cause immediately when a problem such as a communication failure occurs so that a communication failure of radio waves does not occur in an important space. Therefore, the profit of the customer by adopting the second embodiment in which the permanent communication device 27 is provided is great.

Next, the configuration of the analysis server 5, which is characterized by using machine learning, will be described with reference to FIG. 7.
The analysis server 5 of the second embodiment includes a cause estimation unit 24, a periodic abnormality radio wave information detection unit 34 that detects a periodic abnormality of radio wave information, and position information and radio wave information at the time of an abnormality accumulated in the past. Periodic abnormality obtained by performing machine learning by using spatial information, peripheral information, normal position information, radio wave information, spatial information, and peripheral information as input data and giving the cause of the periodic abnormality as teacher data. It has a cause estimation model 35.
Further, the analysis server 5 has an abnormal radio wave information storage unit 20 that stores radio wave information at that time when there is a periodic abnormality, and a normal radio wave information storage unit 19 that appropriately extracts and stores normal radio wave information. It has.

As shown as an example in FIG. 9, the periodic abnormality radio wave information detection unit 34 constantly monitors whether or not the abnormality pattern 37 of the characteristic value such as the intensity data extracted from the radio wave information repeatedly appears at regular intervals. It will be.
That is, in this system, first, it is determined whether or not the periodic abnormality appears repeatedly by using the characteristic values such as the intensity level, the correlation coefficient, and the shape of the radio wave information for the abnormal radio wave condition, and it is periodic. When it is determined that there is an abnormality, the radio wave information, the characteristic value of the abnormality, the extracted data, and the like are stored in the abnormal radio wave information storage unit 20. In addition, the position information, radio wave information, spatial information, and peripheral information at the time of the occurrence of the periodic abnormality are linked and stored.

Then, using a machine learning method such as deep learning to create a model by teaching and learning, the radio information, position information, radio information, spatial information, and peripheral information at the time of periodic abnormality accumulated in the past are accumulated in the past. A model is constructed by using the normal radio wave information, position information, radio wave information, spatial information, and peripheral information as input data and giving the cause of the periodic abnormality as teacher data. Periodic abnormalities that serve as teacher data include detection of Bluetooth radio waves, on / off of electrical equipment, operation of buses equipped with Wi-Fi function that runs nearby at a fixed time, air traffic control radar, weather radar, and nearby. Examples include transmitting radio waves from facilities and factories, and performing predetermined work to emit radio waves at a fixed time in a nearby building.
In other words, a model is created that can estimate the certainty of when and what causes the position information, radio wave information, spatial information, and peripheral information from the accumulated information of the past radio wave information.
Then, in actual operation, a periodic abnormality cause estimation model uses the position information, radio wave information, spatial information, and peripheral information when the periodic abnormality radio wave information detection unit 34 detects that there is a periodic abnormality as input data. Based on 35, the cause of the periodic abnormality in the current state is estimated.

For example, some buses and some various vehicles have a Wi-Fi function, so if there is noise at predetermined time intervals, there must be a road through which the bus or car passes in the surrounding information, so the road is If the model has peripheral information that there is, the model can quickly recognize the state, and after the periodic abnormality radio wave information detection unit 34 recognizes that there is a periodic abnormality, the cause is estimated in a short time or almost in real time, and the person in charge The estimated cause can be sent to.
Easy-to-understand periodic abnormalities such as bus operation can be analyzed by a person without using this analysis server 5, but there are problems with the skill level of the person and operating costs due to human costs, so this book Computer processing in the system is preferred.
Many of the periodic abnormalities are related to human movement. For example, in March and April, the number of people who enter a room often changes due to going on to school or getting a job, and if there is new occupancy information in the building in the spatial information and surrounding information, it will be easier to find abnormalities.

In the second embodiment described above, a periodic abnormality of radio wave information has been described as an example, but a non-periodic abnormality can also be implemented in the same manner. For example, it is possible to construct a comprehensive cause estimation model that considers interference between general access points, interference with the next room, and the occurrence of sudden radio wave abnormalities. In such a case, it is possible to estimate the cause of the phenomenon of radio wave abnormality that cannot be predicted by humans.

[Third Embodiment]
FIG. 10 is an explanatory diagram of an analysis server for explaining the radio wave investigation system 1 according to the third embodiment of the present invention.
A feature of this third embodiment is that a plurality of permanent communication terminals 27 (see FIG. 8) are provided in important places or areas such as buildings, halls, conference halls, and roads connecting to military facilities. The terminal-side receiving unit 7 (see FIG. 2) of the permanent communication terminal 27 has a function of receiving radio waves of an unidentified radio wave source. An example of such an unidentified radio wave source is a communication terminal having a Wi-Fi function. Further, if necessary, the analysis server 5 is provided with a suspicious communication terminal detection unit 40 to detect that a suspicious communication terminal has invaded the monitoring area. The suspicious communication terminal detection unit 40 can also be grasped as an unconfirmed radio wave source detection unit.

Further, the suspicious communication terminal detection unit 40 or the unconfirmed radio wave source detection unit may be provided with a radio wave information change supplement unit 41 that supplements the change of the radio wave information with the passage of time of each radio information, if necessary.
As an example, as shown in FIG. 11, a plurality of permanent communication terminals 27 are installed on the ceiling or floor of the entrance 43 of the building 42 or the entrance hall 44, and a plurality of permanent communication terminals can transmit new radio waves. It is configured to detect the suspicious communication terminal 45 or the movement path 46 (indicated by a thick line in FIG. 11) of a suspicious communication terminal 45 or an unidentified radio wave source that is received by 27 and is not recognized or registered in the building 42.

[Fourth Embodiment]
12 to 21 are drawings for explaining the fourth embodiment, respectively.
<Configuration of communication terminal 3>
FIG. 12 is a block diagram showing an example of the configuration of the communication terminal 3 used in the present embodiment.
In FIG. 12, the terminal-side radio wave state abnormality detection unit 51 and the terminal-side abnormality state control unit 52 are provided in advance in all communication terminals 3 in which the present embodiment is implemented by software means or the like.
The terminal-side radio wave condition abnormality detection unit 51 has a function of detecting an abnormality in the radio wave reception state of at least one communication terminal, and the terminal-side abnormality state control unit 52 has detection information related to radio wave information of the communication terminal that has detected the abnormality. There is a function to control the amount to be larger than in the steady state.
The terminal-side abnormality state control unit 52 can also transmit a terminal abnormality signal to a higher-level or linked management computer unit (not shown) such as the analysis server 5.

There are roughly two types of abnormalities detected by the terminal-side radio wave condition abnormality detection unit 52.
The first is an abnormality caused by the in-house radio shown in FIG. 14, and the second is an abnormality caused by the unconfirmed radio shown in FIG.
In FIGS. 14 and 15, the solid line 60 is a line showing the change in the reception level of the company's wireless access point (AP), and the broken line 61 is the line showing the change in the reception level of the unconfirmed wireless AP.

FIG. 16 is an example of a threshold value for determining an abnormality and an alert mail setting screen.
Threshold value for detecting abnormalities of the company's access point (for example, the output drops below -60db) and the threshold for detecting the appearance of access points other than the company and the radio wave output threshold (for example, monitoring channels 1 to 6 and radio waves of -50db or more) (When output occurs) can be set by the input of each system user.
As shown in FIG. 14, the in-house access point can be set so that if the threshold value of the in-house wireless AP is set to, for example, -30db or less, the system is recognized as abnormal when it becomes -30db or less.
As shown in FIG. 15, the access point other than the company recognizes that if the unconfirmed wireless AP sets the threshold value of FIG. 16 to, for example, -50db or more, the system recognizes the existence of the unidentified wireless AP of -50db or more as abnormal. Can be set.
As shown in FIG. 16, the monitoring channel of the access point other than the company is an input field in which the range of the monitoring channel can be set.

<Configuration of analysis server 5>
FIG. 13 is a block diagram showing an example of the analysis server 5 that can be adopted in the present embodiment.
As shown in FIG. 13, the analysis server 5 includes a time domain display unit 54, a spatial area display unit 55, a mutual cooperation unit 56, and a surrounding information storage unit 57.
The time domain display unit 54, the spatial area display unit 55, and the mutual cooperation unit 56 are composed of elements, devices, and software means for controlling the display.
The mutual cooperation unit 56 is composed of computer program means and the like for switching display of FIGS. 17 and 18 and corresponding display of each communication terminal.
In the distributed computer system, the time domain display unit 54, the spatial area display unit 55, and the mutual cooperation unit 56 do not exist on the analysis server 5, and the time domain display unit 54, the spatial area display unit 55, and the mutual cooperation unit 56 do not exist. It is also possible to place the device on a desktop computer or a portable computer of a local terminal. If the specifications have high processing power, the portable computer can include a communication terminal for detecting the above-mentioned abnormality.

The surrounding range information stored in the surrounding range information storage unit 57 is, for example, the following information.
First, the simplest example is terminal number information including all communication terminals arranged in the radio wave survey area. For example, it is the terminal number information of 1 to 7 in the investigation area of the room 58 to be examined by the seven communication terminals 3 shown in FIG.
Alternatively, the system can automatically change the size of the displayed survey area in the time domain or space domain according to the degree of radio wave abnormality.
In that case, a radio wave abnormality level information storage unit (not shown) and a peripheral range setting unit (not shown) that expands or contracts a preset survey area based on the abnormality level information are provided. It will be.
For example, if the system determines that it is a minor abnormality, the number of communication terminals to be displayed is set to, for example, 10, and if it is determined that it is a serious abnormality, it is set to 30.

<About the time domain and the spatial domain>
In the present specification, the "time area" is used as a concept for handling information and information in which data is stored in a time-series manner, and the "spatial area" is a two-dimensional area and a three-dimensional area. It is used as a concept for handling information that is arranged and stored in space.
FIG. 17 is a diagram showing a display screen showing an example of spatial area display, and FIG. 18 is a diagram showing a display screen showing an example of time domain display. FIG. 17 shows a state in which seven mobile communication terminals 3 are installed in a room 58, which is a radio wave survey area, for a predetermined time or a predetermined period.

<Differences in processing during steady and abnormal conditions>
Mainly based on FIG. 19, in the present embodiment, the difference between the processing in the steady state and the processing in the abnormal state will be described.
FIG. 19 is a flowchart showing the operation of the embodiment in which the amount of detected information of the communication terminal at the time of abnormality is larger than that at the time of normal in the system having the above configuration.
In FIG. 19, in each communication terminal 3 (see FIG. 12), it is determined whether or not the received radio wave level is in an abnormal state (step SP51), and when it is determined that the received radio wave level is in a steady state, FIG. The received radio wave level of the representative value within the indicated specific time is transmitted at regular transmission time intervals (step SP52). As a representative value, an average value at a specific time can be exemplified.

On the other hand, if it is determined that the state is not steady, information identifying the communication terminal that detected the abnormal radio wave and other accompanying terminal abnormality signals are transmitted to the analysis server 5 or the like (step SP53), and the abnormality reception data is transmitted in real time or. It is transmitted to the analysis server 5 or the like as immediate data at short time intervals (step SP54).

Further, after confirming the abnormal radio wave level, it is always determined whether or not the abnormal reception state is exited (step SP55), and if it is determined that the abnormal reception state is not exited, the immediate data in step SP54 is determined. If it is determined that the abnormal reception data has been continuously transmitted and the abnormal reception state has been exited, the process returns to the determination process of step SP51.
The reception level at which it is determined that the abnormal reception state has been exited may be different from the reception level at which it is determined that the state is in the steady state. In addition, it is preferable that the time during which the stable state continues is also taken into consideration as another factor for determining that the abnormal reception state has been eliminated.

The difference between regular time and abnormal processing will be further described.
In the present embodiment, radio wave information is transmitted from a large number of communication terminals to the analysis server 5 on the network, and a huge amount of information is transmitted to the analysis server 5 depending on the number of communication terminals 3, the amount of radio wave information, and the transmission frequency. Is expected. However, in a calm wireless environment with no abnormalities, there is no big change in radio wave information and almost the same data is transmitted, so there is a problem that a large amount of useless data is handled in the communication volume and data storage area. is there.

Therefore, if there is no change in the received data on the communication terminal side, a mechanism is added to smooth the received data by dividing it at a fixed time and send the aggregated data to the analysis server to improve the efficiency of the analysis data. This smoothing (which can also be called averaging) is an example of obtaining the representative value.
However, if some kind of failure occurs in the wireless environment, a large amount of information will fluctuate. Allows you to save various data.

FIG. 20A is a diagram for explaining a data transmission process in a steady state.
In this setting example, the range of -50db to -60db is set as a steady-state level, and if the received radio wave is at this steady-state level, a representative value of -55db is once at a specific time (for example, 180 seconds) in the analysis server 5. Etc. to send.
FIG. 20B is a diagram for explaining a data transmission process at the time of abnormality.
As shown in FIG. 20B, for example, when -60db is exceeded, immediate data indicating fluctuations in abnormal radio waves is transmitted to the analysis server 5 in the time range Ti that exceeds the time range Ti.

<Collaboration processing of the time domain display unit 54 and the spatial area display unit 55>
Next, the processing mainly performed by the time domain display unit 54, the spatial area display unit 55, and the mutual cooperation unit 56 will be described mainly with reference to FIG.
First, is it a terminal abnormality signal transmitted in step SP53 of FIG. 19? Alternatively, it is determined whether or not the system user has specified a specific communication terminal for display (step SP71), and if the terminal abnormality signal is not transmitted and the user is not specified, the determination process of step SP71 is performed. Is repeated, and if at least one of the conditions specified by the user is satisfied, the peripheral range information of the specified communication terminal is acquired (step SP72), and the peripheral range of the specified communication terminal is obtained. (Step SP73), at least one of the time domain and the spatial domain is displayed (step SP74), and the process returns to a series of system processes.
If the user specifies the time domain display first, the time domain display is performed first, and if the user specifies the spatial area display first, the spatial area display is performed first.

The above-mentioned cooperation processing will be further described.
As an example of the cooperative processing, in the present embodiment, the layout map function of the communication terminal can be realized.
As described above, as the arrangement location of the communication terminal 3 (see FIG. 17), the drawing data of the arrangement location of the room 58 (see FIG. 17) including the survey area is taken in, and the arrangement location of each communication terminal 3 is stored in spatial information. It is stored in the part 17 (see FIG. 2). If there is position information linked with such drawing information, it is possible to quickly identify which communication terminal the failure is occurring near when an abnormality occurs.

On the other hand, the arrangement position of the communication terminal 3 cannot be known from the graph of FIG. 18, which is an example of the time domain display. Therefore, as shown in FIG. 17, the drawing data of the arrangement position is taken in, and the arrangement location of each communication terminal 3 is marked on the drawing. By designating a line indicating the time transition of each communication terminal 3 in FIG. 17, it is possible to jump to the mark of the communication terminal 3 at the arrangement location shown in FIG. The position in the room, the space position in the building, etc. can be quickly specified.

For example, to give an example, when the number of the communication terminal 3 in which the radio wave abnormality indicating the drop in the detection signal level such as a large valley in FIG. 18 occurs is the number "5" in "1" to "7". If you place an instruction means such as a cursor on the line on the time axis of the number "5" and specify a click or the like, the cursor position will move to the circled display shown in FIG. 17, or the number "5" will be displayed. By blinking the terminal mark corresponding to "", the user can immediately know at which position in the room 58 the communication terminal 3 having the abnormality exists.
On the contrary, if the communication terminal 3 circled in FIG. 17 is clicked, it jumps to the corresponding line in the time domain display shown in FIG. Can be increased instantly.

Even if the user does not specify, when the system itself determines an abnormality, at least one of the time domain display and the spatial area display is automatically displayed as to which terminal is the communication terminal that detected the abnormality. It is also possible to configure.
In the display as shown in FIG. 17, the system automatically uses the drawing information of a room such as room 203 on the second floor of the △△ building and the terminal position information found by GPS or the like as an image layer. It can be displayed by superimposing them.

In addition to the above embodiments, the present invention can be modified in various ways without changing the gist of the present invention.
(1) In the above embodiment, the machine learning has been described based on supervised learning, but the cause estimation model created by supervised learning is modified daily based on the accumulated normal radio wave information and abnormal radio wave information. A cause estimation model can also be adopted.
(2) The first embodiment, the second embodiment, and the third embodiment can be recognized as independent inventions that are not bound by claim 1 of the present specification.
(3) The detection data (or calculation data) of the influence degree detection unit 25 shown in FIG. 2 can be used as the input data of the abnormality cause estimation model in the invention shown in claim 6. Since the detection data (or calculation data) of the influence degree detection unit 25 is preprocessed data, there is an advantage that the accuracy is improved in the generation of the abnormality cause estimation model by considering these data.

In the present invention, due to the existence of the cause estimation unit described above, not only position information, spatial information, and radio wave information, but also peripheral information, which is information on an external geographical situation and a map situation, are added, and the period is continuous. Since the cause of various radio wave reception obstacles is estimated based on various radio wave information, various possibilities can be automatically examined in a wide range without being affected by human experience and skill level, and the cause of radio wave reception obstacles can be accurately investigated. It is a useful invention that can be estimated. Further, by adopting the configuration of each embodiment described in the specification, it is an invention that can solve the problem that troubles of wireless failure occur frequently in the near future, and therefore, it may be industrially applicable. it is obvious.

1: Radio wave survey system 2: Survey area 3: Multiple communication terminals 4: Network 5: Analysis server 7: Terminal side receiving unit 10: Terminal side transmitting unit 15: Position information storage unit 16: Radio wave information storage unit 17: Space Information storage unit 18: Peripheral information storage unit 24: Cause estimation unit 25: Impact detection unit 27: Permanent communication terminal 34: Periodic abnormal radio wave information detection unit (an example of abnormal radio wave information detection unit)
35: Periodic abnormality cause estimation model (an example of abnormality cause estimation model)
40: Suspicious communication terminal detection unit (unconfirmed radio source detection unit)
41: Radio wave information change supplement unit 51: Terminal side radio wave state abnormality detection unit 52: Terminal side abnormality state control unit 54: Time domain display unit 55: Spatial area display unit 56: Mutual cooperation unit 57: Surrounding range information storage unit

Claims (16)

It is a radio wave survey system that has multiple communication terminals distributed in the survey area and an analysis server on the network.
The communication terminal includes at least one type of terminal-side receiving unit that receives radio waves related to the investigation target, and a terminal-side transmitting unit that transmits radio wave information received by the terminal-side receiving unit to the analysis server on the network. And have
The radio wave survey system stores the position information storage unit that stores the position information of the plurality of communication terminals, and the radio wave information obtained in time series with the passage of time for each of the plurality of communication terminals and for each radio wave type. A radio wave information storage unit, a spatial information storage unit that stores spatial information at a position where the plurality of communication terminals are arranged, a peripheral information storage unit that stores peripheral information at a position where the plurality of communication terminals are arranged, and a peripheral information storage unit. A cause estimation unit that estimates a cause affecting radio wave reception in the survey area based on the position information, the radio wave information, the spatial information, and the peripheral information.
A terminal-side radio wave condition abnormality detection unit that detects an abnormality in the radio wave reception state of at least one of the communication terminals, and a control so that the amount of detection information related to the radio wave information of the communication terminal that has detected the abnormality is larger than in the steady state. A radio wave investigation system characterized by having an abnormal state control unit on the terminal side. The radio according to claim 1, wherein increasing the amount of detected information is performed by increasing the amount of data communication per unit time regarding the radio wave information between the communication terminal that detected the abnormality and the analysis server. Radio wave survey system. The radio wave survey system according to claim 2, wherein the increase in the amount of data communication is performed by setting the radio wave reception data transmission interval from the communication terminal to be shorter than in the steady state. The radio wave investigation system according to any one of claims 1 to 3, further comprising a time domain display unit that displays the radio wave reception level in the time domain including the communication terminal that has detected an abnormality at least. .. The radio wave investigation system according to any one of claims 1 to 4, further comprising a spatial area display unit that displays the spatial arrangement of the surrounding range including the communication terminal that has detected at least an abnormality. It has a mutual cooperation unit that displays which communication terminal is identified in the time domain and / or the spatial area display of the communication terminal that has detected an abnormality by the system user or the system instruction. The radio wave survey system according to any one of claims 4 to 5. The cause estimation unit is based on the radio wave information detected by the abnormal state detection unit and the amount of the detected information increased, and the operation information of the information terminal existing in the predetermined space where the communication terminal is arranged. The radio wave survey system according to any one of claims 1 to 6, wherein the cause of affecting the radio wave reception in the survey area is estimated. The radio wave survey system according to claim 5, further comprising an ambient range information storage unit that stores information regarding the ambient range, and the ambient range is set by a predetermined value or a calculated value. There are a plurality of types of radio waves related to the investigation target, and the communication terminal has a plurality of types of the terminal-side receiving units corresponding to the plurality of types, and one of the plurality of terminal-side receiving units. The influence level detector that detects the degree to which one type of radio wave affects the reception of other types of radio waves, and the radio wave that the system attempts to estimate the cause of the reception abnormality based on the detected degree of influence. The radio wave investigation system according to any one of claims 1 to 8, further comprising a cause estimation unit for estimating a cause of adverse effects of at least one other type of radio wave. Claims 1 to 1, wherein the plurality of communication terminals are composed of a general-purpose mobile communication terminal such as a smartphone, and software for executing the processing performed by the communication terminal is pre-installed on the general-purpose mobile communication terminal. The radio wave survey system according to any one of 9. The wireless radio wave survey system according to any one of claims 1 to 9, wherein the plurality of communication terminals are composed of permanent communication terminals permanently installed in a room or outdoors. Claim 1 comprises using the plurality of communication terminals together with a mobile communication terminal temporarily provided and a permanent communication terminal permanently installed in a room or outdoors when investigating the investigation area. The radio wave survey system according to any one of claims 11. The cause estimation unit includes an abnormal radio wave information detection unit that detects an abnormality in radio wave information, and the position information at the time of an abnormality, the radio wave information, the spatial information, the peripheral information, and the position information at the time of normal accumulation accumulated in the past. The abnormal radio wave information detection unit has an abnormality cause estimation model obtained by performing machine learning by giving the cause of the abnormality as teacher data using the radio wave information, the spatial information, and the peripheral information as input data. When detected by, the cause of the abnormality in the current state is estimated by the abnormality cause estimation model using the position information, the radio wave information, the spatial information, and the peripheral information as input data, claims 1 to 12. The radio wave survey system described in any one of the above. 13. Claim 13 that the abnormality is a periodic abnormality, the abnormal radio wave information detection unit is a periodic abnormality radio wave information detection unit that detects a periodic abnormality, and the abnormality cause estimation model is a periodic abnormality cause estimation model. Radio wave survey system described in. The communication terminal is a plurality of permanent communication terminals, and the terminal-side receiving unit has a function of receiving radio waves emitted from an unconfirmed radio wave source, and the plurality of cases that the unconfirmed radio wave source has invaded the monitoring area. The radio wave investigation system according to any one of claims 1 to 14, further comprising an unidentified radio wave source detection unit that detects based on a plurality of received information obtained from the permanent communication terminal of the above. The radio wave survey system according to claim 15, wherein the unconfirmed radio wave source detecting unit includes a radio wave information change supplementing unit that supplements changes in radio wave information from the plurality of permanent communication terminals in chronological order.

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