JP2018201071A - Estimation device, estimation method and estimation program - Google Patents

Abstract

To reduce man hours of inspection for specifying the possible causes and places of quality deterioration of radio environment.SOLUTION: An estimation device has a setting part, an acquisition part, a determination part, and an estimation part. The setting part sets the estimate of radio quality information in each split region splitting a region where a base station device is installed. The acquisition part acquires the measured value of radio quality information in each split region. The determination part determines whether or not the radio quality is deteriorated in each split region, from the set estimate and the acquired measured value. The estimation part estimates the place of an object that affected deterioration of radio quality and possible causes of deterioration, from the positional information of the split region determined that the radio quality is deteriorated, and the radio quality information used for determination.SELECTED DRAWING: Figure 5

Description

  The present invention relates to an estimation device, an estimation method, and an estimation program.

  2. Description of the Related Art Conventionally, in a commercial facility, an office building, or the like, an AP (Access Point) for using wireless communication may be installed in preparing a wireless environment. The AP is installed at a suitable position based on the know-how of the network administrator. For example, a suitable position is a position where the quality (radio wave intensity, transmission speed, etc.) of the wireless environment is higher. However, the quality of the wireless environment may be deteriorated by changing the interior after installing the AP or installing another device that emits radio waves. Therefore, recently, a technique for grasping the deterioration of the quality of the wireless environment is known.

JP 2008-228162 A

  However, in the conventional technology, even if the deterioration of the quality of the wireless environment can be grasped, it is difficult to specify the cause and location. As a result, the conventional technique has a problem that the number of man-hours for investigation for identifying the cause and location of the deterioration of the quality of the wireless environment increases.

  The disclosed technology has been made in view of the above, and provides an estimation device, an estimation method, and an estimation program capable of reducing the man-hours for investigation to identify the cause and location of the deterioration of the quality of the wireless environment The purpose is to do.

  In one aspect, the estimation device disclosed in the present application includes a setting unit, an acquisition unit, a determination unit, and an estimation unit. The setting unit sets an estimated value of radio quality information in each divided region obtained by dividing the region where the base station apparatus is installed. The acquisition unit acquires an actual measurement value of radio quality information in each of the divided areas. The determination unit determines whether radio quality is deteriorated in each of the divided areas from the set estimated value and the acquired actual measurement value. The estimation unit, from the position information of the divided area determined that the wireless quality is deteriorated and the wireless quality information used for the determination, the location of the thing that has affected the deterioration of the wireless quality and Estimate the cause of deterioration.

  According to one aspect of the estimation device disclosed in the present application, it is possible to reduce the man-hours for the investigation for identifying the cause and the location of the deterioration of the quality of the wireless environment.

FIG. 1 is a diagram illustrating an example of a wireless communication system including an estimation device. FIG. 2 is a diagram illustrating an example of a hardware configuration of the estimation apparatus. FIG. 3 is a diagram illustrating an example of a hardware configuration of the access point. FIG. 4 is a diagram illustrating an example of a hardware configuration of the terminal device. FIG. 5 is a diagram illustrating an example of a functional configuration of the estimation device. FIG. 6 is a diagram illustrating an example of a functional configuration of the access point. FIG. 7 is a diagram illustrating an example of a functional configuration of the terminal device. FIG. 8 is a diagram for explaining an example of setting of estimated values of wireless quality information. FIG. 9 is a diagram illustrating an example of the estimated value of the radio wave intensity. FIG. 10 is a diagram illustrating an example of an estimated value of the transmission rate. FIG. 11 is a diagram illustrating an example of an AP list. FIG. 12 is a diagram illustrating an example of data transmitted by the terminal device. FIG. 13 is a diagram illustrating an example of data transmitted by the access point. FIG. 14 is a diagram illustrating an example of the usage log tabulation list. FIG. 15 is a diagram illustrating an example of a radio wave state monitoring list. FIG. 16 is a diagram illustrating an example of the radio wave environment aggregation list. FIG. 17 is a diagram illustrating an example of an obstacle detection list. FIG. 18 is a diagram illustrating an example of the radio wave interference detection list. FIG. 19 is a diagram illustrating an example of an obstacle place estimation list. FIG. 20A is a diagram illustrating an example of a block number of a radio field strength decrease for an access point. FIG. 20B is a diagram illustrating an example of a block number of a decrease in radio field strength for an access point. FIG. 20C is a diagram illustrating an example of a block number of a decrease in radio wave intensity for an access point. FIG. 20D is a diagram illustrating an example of a block number of a decrease in radio field strength for an access point. FIG. 21 is a diagram illustrating an example of a range in which an inhibitor is estimated to exist. FIG. 22 is a diagram illustrating an example of the interference location estimation list. FIG. 23 is a diagram illustrating an example of a place where an interference radio wave generation device is estimated to exist. FIG. 24 is a flowchart illustrating an exemplary flow of a radio wave environment aggregation list creation process. FIG. 25 is a flowchart illustrating an exemplary flow of an obstacle detection list creation process. FIG. 26 is a flowchart illustrating an exemplary flow of a radio wave interference detection list creation process. FIG. 27 is a flowchart illustrating an example of the flow of the obstacle location estimation process. FIG. 28 is a flowchart illustrating an example of the flow of a process for estimating the location of an interference radio wave generating device.

  Embodiments of an estimation apparatus, an estimation method, and an estimation program disclosed in the present application will be described below with reference to the drawings. The disclosed technology is not limited by the embodiments described below.

<Wireless communication system>
FIG. 1 is a diagram illustrating an example of a wireless communication system 1 including an estimation device 10. As shown in FIG. 1, the wireless communication system 1 includes an estimation device 10, an access point (AP) 20, and a terminal device 30. Among these, the estimation apparatus 10 and the access point 20 are connected to a wireless network or a wired network. The access point 20 and the terminal device 30 are connected to a wireless network. The access point 20 is an example of a “base station device”.

  The estimation device 10 is an information processing device such as a server device. The estimation apparatus 10 has a function of simulating at what location on the design drawing of the building and at what intensity the radio wave of which access point 20 can be observed. Similarly, the estimation apparatus 10 has a function of simulating which location on the design drawing of the building can communicate with which access point 20 at what transmission rate. The radio wave intensity and the transmission speed are examples of “wireless quality information”. That is, the estimation apparatus 10 divides the area (for example, the floor of a building) where the access point 20 is installed using a building design drawing or the like, and calculates the estimated value of the wireless quality information in each divided area by simulation or the like. Set.

  In addition, the estimation device 10 acquires measured values of radio field intensity and transmission speed in each divided region from the access point 20 and the terminal device 30. Then, the estimation device 10 determines whether or not the radio quality is deteriorated in each of the divided areas from the estimated value and the actually measured value of the radio wave intensity and the transmission speed. After that, the estimation apparatus 10 determines the location and deterioration of the object that has affected the deterioration of the wireless quality from the position information of the divided areas determined that the wireless quality is deteriorated and the wireless quality information used for the determination. Estimate the cause.

  For example, when it is determined that the wireless quality with respect to the radio field strength is deteriorated, the estimation device 10 also includes the position information of the divided region determined to be deteriorated due to the presence of an obstacle. And the location of the inhibitor is estimated. In addition, when it is determined that the wireless quality with respect to the transmission rate is deteriorated, the estimation apparatus 10 determines the deterioration of the divided region determined to be deteriorated due to the presence of a device that generates an interference radio wave. Based on the position information, the location of the device is estimated.

  The access point 20 is a communication device such as a wireless LAN (Local Area Network) access point that emits radio communication radio waves such as Wi-Fi (registered trademark) according to a predetermined setting. The access point 20 records the measured value of the transmission rate of the connected terminal device 30 and transmits the measured value of the transmission rate to the estimation device 10. The wireless communication system 1 includes a plurality of access points 20. That is, an arbitrary number of access points 20 are installed on each floor of the building.

  The terminal device 30 is an information device such as a smartphone or a tablet terminal. The terminal device 30 has a wireless communication function such as Wi-Fi (registered trademark) and is connected to the access point 20 to realize wireless communication. A user who owns the terminal device 30 performs an operation for connecting to Wi-Fi (registered trademark) in any divided area. Thereby, the terminal device 30 is connected to the access point 20 to realize wireless communication. In addition, an application for observing the radio wave condition is installed in the terminal device 30. Such an application periodically transmits the current Wi-Fi (registered trademark) environment and the position information of the terminal device 30 to the estimation device 10 via the access point 20. The current Wi-Fi (registered trademark) environment refers to an actually measured value of the radio field intensity of the connected access point 20. Note that the wireless communication system 1 may include a plurality of terminal devices 30.

<Hardware configuration>
FIG. 2 is a diagram illustrating an example of a hardware configuration of the estimation apparatus 10. As illustrated in FIG. 2, the estimation device 10 includes a CPU (Central Processing Unit) 12, a ROM (Read Only Memory) 13, a RAM (Random Access Memory) 14, a display I / F 15, and a communication I / F 16. Have The above units are connected to each other via a bus 11.

  The CPU 12 comprehensively controls the operation of the estimation device 10. For example, the CPU 12 controls the overall operation of the estimation device 10 by executing a program stored in the ROM 13 or the like using the RAM 14 or the like as a work area. Thereby, the estimation apparatus 10 implement | achieves the various functions mentioned later. The display I / F 15 is an interface that displays various screens on a display device such as the display 101 connected to the estimation device 10. The communication I / F 16 is an interface that controls communication with the access point 20 and other external devices. In addition to these, the estimation device 10 includes an interface connected to an input device such as a keyboard for inputting various information, and an HDD (Hard Disk Drive) that is a non-volatile storage device used for storing various data. Etc. may be provided.

  FIG. 3 is a diagram illustrating an example of a hardware configuration of the access point 20. As illustrated in FIG. 3, the access point 20 includes a CPU 22, a ROM 23, a RAM 24, and a communication I / F 25. The above units are connected to each other via a bus 21.

  The CPU 22 comprehensively controls the operation of the access point 20. For example, the CPU 22 controls the overall operation of the access point 20 by executing a program stored in the ROM 23 or the like using the RAM 24 or the like as a work area. Thereby, the access point 20 implement | achieves the various functions mentioned later. The communication I / F 25 is an interface that controls communication with the estimation device 10 and the terminal device 30. For example, in communication control by the communication I / F 25, the estimation apparatus 10 is connected to a network by wireless communication or wired communication, and the terminal apparatus 30 is connected to a network by wireless communication.

  FIG. 4 is a diagram illustrating an example of a hardware configuration of the terminal device 30. As illustrated in FIG. 4, the terminal device 30 includes a CPU 32, a ROM 33, a RAM 34, a display 35, and a communication I / F 36. The above units are connected to each other via a bus 31.

  The CPU 32 comprehensively controls the operation of the terminal device 30. For example, the CPU 32 controls the overall operation of the terminal device 30 by executing a program stored in the ROM 33 or the like using the RAM 34 or the like as a work area. Thereby, the terminal device 30 implement | achieves the various functions mentioned later. The display 35 is configured by a touch panel or the like, receives input of information to the terminal device 30, and displays various screens. The communication I / F 36 is an interface that controls communication with the access point 20. For example, in the communication control by the communication I / F 36, the access point 20 is connected to a network by wireless communication.

<Functional configuration>
FIG. 5 is a diagram illustrating an example of a functional configuration of the estimation apparatus 10. As illustrated in FIG. 5, the estimation device 10 includes a setting unit 111, a storage unit 112, an acquisition unit 113, a determination unit 114, an estimation unit 115, and a display control unit 116. A part or all of these units other than the storage unit 112 may be realized by software (program), or may be realized by a hardware circuit.

  The setting unit 111 sets the estimated value of the radio quality information in each divided area obtained by dividing the area where the access point 20 is installed. The wireless quality information is the radio wave intensity of the access point 20 and the transmission speed of the terminal device 30 connected to the access point 20. Here, setting of the estimated value of the wireless quality information will be described with reference to FIG. FIG. 8 is a diagram for explaining an example of setting of estimated values of wireless quality information. As illustrated in FIG. 8, the setting unit 111 divides the design drawing data of each floor of the building into blocks of several meters square, and adds unique coordinates to each block (each divided region). Hereinafter, the coordinates added to each block may be referred to as a “block number”.

  Then, the setting unit 111 simulates the radio field intensity at the center of each block using the data of the 3D design drawing (for example, data on structures and materials that actually exist), and estimates the radio field intensity of each block. Map as a value. The estimated value of the radio wave intensity may be a radio wave intensity measured using an analyzer instead of a simulation, or a radio wave intensity calculated based on past information may be used. Further, the setting unit 111 simulates an estimated value of the transmission rate for the access point 20 based on the estimated value of the radio field intensity of each block, and maps it as an estimated value of the transmission rate of each block. A known technique may be used as a method for obtaining the transmission rate based on the radio wave intensity.

  FIG. 9 is a diagram illustrating an example of the estimated value of the radio wave intensity. FIG. 10 is a diagram illustrating an example of an estimated value of the transmission rate. As illustrated in FIG. 9 and FIG. 10, the setting unit 111 sets the estimated value of the radio wave intensity and the transmission rate for each access point 20 for each block number by the above-described processing. The estimated values of the radio wave intensity and the transmission rate for each access point 20 are stored in the storage unit 112. The storage unit 112 also stores a block number where the access point 20 is installed. FIG. 11 is a diagram illustrating an example of an AP list. As illustrated in FIG. 11, the storage unit 112 associates information of “AP name” indicating the name of the access point 20 and “block number” indicating the coordinates of the block where the access point 20 is installed. Store the AP list.

  The acquisition unit 113 acquires measured values of wireless quality information in each divided area. More specifically, the acquisition unit 113 acquires an actually measured value of the radio wave intensity measured by the terminal device 30 existing in the block via the communication I / F 16. In the terminal device 30, the radio field intensity of each access point 20 is measured periodically. Then, the terminal device 30 transmits the measured radio wave intensity together with the position information and the like to the estimation device 10 via the access point 20. FIG. 12 is a diagram illustrating an example of data transmitted by the terminal device 30. As illustrated in FIG. 12, the terminal device 30 transmits information on the user terminal name, measurement time, measurement position, and actually measured radio wave intensity to the estimation device 10 via the access point 20. The user terminal name is the terminal name of the terminal device 30. The measurement time is the time when the radio field intensity is measured. The measurement position is position information when the radio wave intensity is measured. The actually measured radio wave intensity is the radio wave intensity of each access point 20 at the measurement position. In FIG. 12, a case where four access points 20 of AP1, AP2, AP3, and AP4 are installed is taken as an example.

  In addition, the acquisition unit 113 acquires the actual measurement value of the transmission rate recorded by the access point 20 via the communication I / F 16. In the access point 20, the transmission speed of the terminal device 30 connected to itself is recorded as a log. Then, the access point 20 transmits the recorded transmission speed to the estimation device 10 together with the terminal name of the terminal device 30 and the like. FIG. 13 is a diagram illustrating an example of data transmitted by the access point 20. As illustrated in FIG. 13, the access point 20 transmits information on the AP name, the measurement time, the number of simultaneously connected terminals, the connected terminal name, and the actually measured transmission rate to the estimation apparatus 10. The AP name is the name of the access point 20 (self). The measurement time is the time when the transmission rate is recorded as a log. The number of simultaneously connected terminals is the number of terminal devices 30 connected to itself when the transmission rate is recorded as a log. The connection terminal name is a terminal name of each terminal device 30. The actually measured transmission rate is the transmission rate of each terminal device 30. In FIG. 13, a case where the three terminal devices 30 of the terminal 1, the terminal 2, and the terminal 3 are connected to the access point 20 whose AP name is AP1 is taken as an example.

  In this way, the acquisition unit 113 acquires log data from each access point 20. FIG. 14 is a diagram illustrating an example of the usage log tabulation list. As illustrated in FIG. 14, the acquisition unit 113 acquires log data from each access point 20, so that for each AP name of each access point 20, the measurement time, the number of simultaneously connected terminals, the connected terminal name, and the actual transmission rate. Are stored in the storage unit 112 as a usage log total list.

  Thereafter, the acquisition unit 113 creates a radio wave state monitoring list for each block number. The radio wave state monitoring list is a list of information on the radio wave intensity acquired from each terminal device 30 and information on the transmission rate acquired from each access point 20 for each block number. FIG. 15 is a diagram illustrating an example of a radio wave state monitoring list. As illustrated in FIG. 15, the acquisition unit 113 identifies a block number from measurement position information based on data acquired from the terminal device 30, and for each block number, a measurement time, a user terminal name, and an actual measurement radio wave. The intensity information is associated and stored in the storage unit 112 as a radio wave intensity state monitoring list.

  In addition, the acquisition unit 113 acquires information on the AP name, the actually measured transmission speed, and the number of simultaneously connected terminals corresponding to the corresponding connected terminal name from the usage log total list that is closer to the measurement time of the radio wave intensity state monitoring list. Then, as illustrated in FIG. 15, the acquisition unit 113 performs measurement time, user terminal name (corresponding to “connected terminal name” in the usage log total list), connection destination (“ Information corresponding to the actual transmission speed and the number of simultaneously connected terminals are stored in the storage unit 112 as a transmission speed status monitoring list.

  The determination unit 114 determines whether or not the radio quality is deteriorated in each divided region from the estimated value set by the setting unit 111 and the actual measurement value acquired by the acquisition unit 113. More specifically, the determination unit 114 determines that the actually measured radio field intensity (actually measured radio field intensity) in the radio field intensity state monitoring list created by the acquiring unit 113 is the estimated radio field intensity set by the setting unit 111. Then, it is determined whether or not it is below the radio field intensity decrease determination threshold. Such determination processing is performed for each record of each block number. For example, the radio field intensity decrease determination threshold is 50%. If it is desired to detect a slight change in the radio field intensity, the radio field intensity decrease determination threshold value may be set higher.

  Then, the determination unit 114 creates a radio wave intensity abnormality summary list for each block number. The radio wave intensity abnormality tabulation list is a list in which the comparison results between the measured value and the estimated value of the radio wave intensity using the radio field intensity decrease determination threshold are tabulated every predetermined time (predetermined period). The determination unit 114 stores the created radio wave intensity abnormality summary list in the storage unit 112. The details of the radio wave intensity abnormality summary list will be described later.

  In addition, the determination unit 114 takes out one record from the transmission rate state monitoring list created by the acquisition unit 113 and identifies the access point 20 that is the connection destination. Then, the determination unit 114 divides the estimated value of the transmission rate of the connection destination access point 20 by the number of simultaneously connected terminals, and compares it with the actually measured value of the transmission rate. That is, the determination unit 114 divides the estimated value of the transmission rate not considering the number of simultaneously connected terminals by the number of simultaneously connected terminals corresponding to the actually measured value of the transmission rate, and compares it with the actually measured value.

Subsequently, the determination unit 114 calculates the rate of decrease in the transmission rate from the difference between the measured value of the transmission rate and the value obtained by dividing the estimated value of the transmission rate by the number of simultaneously connected terminals. The rate of decrease in transmission rate is calculated for each record of each block number. For example, the rate of decrease in transmission rate is calculated by the following formula.
[(Estimated value of transmission rate−Measured value of transmission rate) ÷ Estimated value of transmission rate] × 100

  Thereafter, the determination unit 114 creates a transmission rate abnormality summary list for each block number. The transmission rate abnormality tabulation list is a list in which the comparison result between the value obtained by dividing the estimated transmission rate value by the number of simultaneously connected terminals and the actual transmission rate value is tabulated every predetermined time (predetermined period). The determination unit 114 stores the created transmission rate abnormality summary list in the storage unit 112. Details of the radio wave intensity abnormality aggregation list and the transmission rate abnormality aggregation list will be described below.

  FIG. 16 is a diagram illustrating an example of the radio wave environment aggregation list. The radio wave environment aggregation list is a list including a radio wave intensity abnormality aggregation list and a transmission rate abnormality aggregation list. As shown in FIG. 16, information on the transmission time, the number of radio field abnormalities, and the number of radio wave measurements is associated with the radio field intensity abnormality tabulation list. The transmission time is information indicating a predetermined time (predetermined period) such as 1 hour. The determination unit 114 updates the number of radio wave intensity abnormalities and the number of radio wave measurements corresponding to the corresponding transmission time based on the time measured by the terminal device 30 that transmitted the radio wave intensity ("measurement time" shown in FIG. 15). To do. The abnormal number of radio wave strengths is information indicating the number of times that the measured value of the radio wave strength is determined to be lower than the radio wave strength estimation threshold value by the radio field strength decrease determination threshold, and is divided for each access point 20. . The number of radio wave measurements is information corresponding to the number of times the terminal device 30 has transmitted the radio field intensity, and has the same value as the number of records in the corresponding time (measurement time corresponding to the transmission time) in the radio field intensity state monitoring list.

  That is, the determination unit 114 determines the number of abnormal radio field strengths of the corresponding access point 20 in the radio field intensity abnormality summary list when the actual measurement value of the radio field intensity is lower than the radio field intensity estimation threshold by the radio field intensity decrease determination threshold. Is incremented by 1, and the number of radio wave measurements is incremented by 1. On the other hand, the determination unit 114 increments only the number of radio wave measurements by 1 when the actually measured value of the radio field intensity is not less than the radio field intensity decrease determination threshold value with respect to the estimated radio field intensity. At this time, the determination unit 114 sets the number of radio field strength abnormalities and the number of radio wave measurements corresponding to the corresponding transmission time to be incremented based on the measurement time in the radio wave intensity state monitoring list.

  Further, as shown in FIG. 16, the transmission rate abnormality totaling list is associated with information of transmission time, average transmission rate reduction rate, and number of transmission rate measurements. The transmission time is information indicating a predetermined time (predetermined period) such as 1 hour, for example, similarly to the radio wave intensity abnormality aggregation list. The determination unit 114 updates the average transmission rate decrease rate and the number of transmission rate measurements corresponding to the corresponding transmission time based on the measurement time in the transmission rate state monitoring list. For the average transmission rate reduction rate, the transmission rate reduction rate is calculated as a percentage from the difference between the measured transmission rate (measured value of the transmission rate) and the estimated value of the transmission rate divided by the number of simultaneously connected terminals. The average value is substituted. The number of transmission rate measurements is the same value as the number of records for the corresponding time (measurement time corresponding to the transmission time) in the transmission rate state monitoring list.

  That is, the determination unit 114 calculates the rate of decrease in the measured transmission rate from the measured value of the transmission rate and the value obtained by dividing the estimated value of the transmission rate by the number of simultaneously connected terminals, and calculates the average of the transmission rate abnormality summary list. Update the transmission rate decrease rate and increment the number of transmission rate measurements by one. The determination unit 114 performs this update process on all the records in the transmission rate state monitoring list. As a result, the information on the average transmission rate reduction rate in the transmission rate abnormality summary list is updated to information indicating the average transmission rate reduction rate during the transmission time.

  After these, the determination unit 114 determines whether or not the radio quality is deteriorated in each block. First, a process for determining whether or not the radio quality with respect to the radio field intensity has deteriorated will be described. More specifically, the determination unit 114 extracts data for one block from the created radio wave environment aggregation list and refers to the radio wave intensity abnormality aggregation list. Then, the determination unit 114 determines whether or not the ratio of the abnormal number of radio wave strengths continues for a predetermined time or more and is equal to or higher than the threshold value for abnormal radio wave strength. The predetermined time can be set arbitrarily, but here it is 24 hours. The radio wave intensity abnormality threshold value can be set arbitrarily, but here it is 50%. At this time, the determination unit 114 associates the block number with the AP name of the access point 20 when it is determined that the ratio of the number of radio wave intensity abnormalities continues for a predetermined time or more and is equal to or greater than the radio wave intensity abnormality threshold. Add to the obstacle detection list. The determination unit 114 performs these processes on the radio wave intensity abnormality summary list of all blocks.

  FIG. 17 is a diagram illustrating an example of an obstacle detection list. As shown in FIG. 17, information on the radio wave intensity lowering block and the radio wave intensity lowering AP is associated with the obstacle detection list. A block number in which the ratio of the abnormal number of radio field strengths is equal to or greater than the threshold value for abnormal radio field intensity is assigned to the radio field intensity reduction block. The AP name of the access point 20 corresponding to the radio field strength reduction block is assigned to the radio field strength reduction AP.

  Next, a process for determining whether or not the radio quality with respect to the transmission rate has deteriorated will be described. More specifically, the determination unit 114 extracts data for one block from the created radio wave environment summary list, and refers to the transmission rate abnormality summary list. Then, the determination unit 114 determines whether or not the average transmission rate decrease rate continues for a predetermined time or more and is equal to or higher than the transmission rate abnormality threshold. The predetermined time can be set arbitrarily, but here it is 24 hours. The transmission rate abnormality threshold value can be set arbitrarily, but here it is 50%. At this time, the determination unit 114 adds the corresponding block number to the radio wave interference detection list when it is determined that the average transmission rate reduction rate continues for a predetermined time or more and is equal to or greater than the transmission rate abnormality threshold. The determination unit 114 performs these processes on the transmission rate abnormality total list of all blocks.

  FIG. 18 is a diagram illustrating an example of the radio wave interference detection list. As shown in FIG. 18, the radio wave interference detection list includes information on the transmission rate reduction block. A block number having an average transmission rate reduction rate equal to or higher than a transmission rate abnormality threshold value in a predetermined time is assigned to the transmission rate reduction block.

  The estimation unit 115 determines the location and cause of the deterioration of the wireless quality from the location information of the divided areas determined to have deteriorated and the wireless quality information used for the determination. presume. More specifically, the estimation unit 115 determines the location of the object that has affected the deterioration of the radio quality with respect to the radio wave intensity and the transmission speed from the obstacle detection list created by the determination unit 114 and the radio wave interference detection list. And estimate the cause of deterioration. As will be described later, the deterioration of the radio quality with respect to the radio field intensity can occur due to a change in the interior or installation of an obstacle. In addition, the degradation of the radio quality with respect to the transmission rate can occur due to the installation of a device that generates interference radio waves.

  First, a description will be given of a process for estimating the location of an object that has affected the deterioration of wireless quality with respect to the radio field intensity and the cause of the deterioration. More specifically, the estimation unit 115 extracts one record from the inhibitor detection list created by the determination unit 114. Then, the estimation unit 115 adds a column to the obstruction place estimation list, and adds a block number to the corresponding access point 20 field. Here, the estimation unit 115 deletes the record extracted from the obstacle detection list from the obstacle detection list.

  FIG. 19 is a diagram illustrating an example of an obstacle place estimation list. As illustrated in FIG. 19, information on the radio wave intensity lowering AP and the obstacle location estimation list is associated with the inhibitor location estimation list. The radio field strength reduction AP is information indicating the AP name of each access point 20 installed on the floor of the building. The block number of the position where the radio wave intensity is reduced (deteriorated) due to the presence of an obstacle that causes the radio wave intensity to be reduced (deteriorated) with respect to the access point 20 of the radio wave intensity lowered AP in the obstruction place estimation list Is substituted. Multiple obstruction location estimation lists are created according to the number of obstructions present on the floor of the building. That is, FIG. 19 shows an example in which two obstacles exist on the floor or the like where four access points 20 of AP1, AP2, AP3, and AP4 are installed.

  After adding a column to the inhibitor location estimation list and adding a block number to the corresponding access point 20 field, the estimation unit 115 extracts one block number from the column of the inhibitor location estimation list. And the estimation part 115 takes out all the records which exist in the obstruction detection list (refer FIG. 17) by the block number of the upper, lower, left, and right of the taken out block number. Note that the block numbers to be extracted from the obstacle detection list are not limited to the top, bottom, left, and right with respect to the block numbers of the obstacle location estimation list. Subsequently, the estimation unit 115 adds the extracted block number to the obstacle location estimation list. The field to be added is the same as the previously extracted block number. Here, the estimation unit 115 deletes the record extracted from the obstacle detection list from the obstacle detection list.

  In this way, the estimation unit 115 takes out the block number newly added to the inhibitor location estimation list, except for the previously added block number, and uses the block numbers on the top, bottom, left, and right of the extracted block number. After extracting all the records that exist in the detection list, delete all the block numbers from the column of the inhibitor location estimation list, delete the block from the inhibitor detection list, and add the extracted block number to the inhibitor location estimation list. Repeat until removed. Moreover, the estimation part 115 repeats the said process until it takes out all the records from an obstruction detection list. Thus, the estimation unit 115 creates the inhibitor location estimation list shown in FIG.

  After creating the inhibitor location estimation list, the estimation unit 115 performs processing for estimating the location of the inhibitor. More specifically, the estimation unit 115 extracts one column from the created obstacle location estimation list. One column of the inhibitor location estimation list is information corresponding to one inhibitor. Then, the estimation unit 115 takes out one record of the radio field strength lowering AP. Subsequently, the estimation unit 115 calculates the inclination of the block number of the access point 20 for each of the extracted block numbers, and specifies the straight line with the maximum inclination and the straight line with the minimum inclination. The estimation unit 115 performs a process of specifying a straight line with the maximum inclination with respect to the access point 20 and a straight line with the minimum inclination with respect to all the records of the radio field intensity decrease AP. Thereafter, the estimation unit 115 sets a region surrounded by the identified straight line as a range where it is estimated that an inhibitor is present. The estimation unit 115 performs the same process for the remaining columns of the inhibitor location estimation list, and estimates the locations of all the inhibitors.

  20A to 20D are diagrams illustrating an example of a block number of a decrease in radio wave intensity with respect to the access point 20. In FIGS. 20A to 20D, the inhibitor is indicated by an ellipse. As shown in FIG. 20A, block number (3, 3), (4, 3), (5, 3) is an inhibitor location estimation list for access point 20 installed at block number (1, 1). To be added. Also, as shown in FIG. 20B, the block numbers (3, 2) and (4, 2) are added to the obstacle location estimation list for the access point 20 installed at the block number (1, 8). . In addition, as shown in FIG. 20C, the block numbers (2, 3), (3, 3), and (4, 3) are the obstruction place for the access point 20 installed at the block number (7, 1). Added to the estimated list. Also, as shown in FIG. 20D, block numbers (3, 2) and (4, 2) are added to the obstacle location estimation list for the access point 20 installed at the block number (7, 8). . The block number added as described above becomes one of the inhibitor location estimation lists. Similarly, block numbers are added to the inhibitor location estimation list corresponding to the inhibitors present on the right side of the figure.

  FIG. 21 is a diagram illustrating an example of a range in which an inhibitor is estimated to exist. As illustrated in FIG. 21, the estimation unit 115 identifies a straight line with the maximum inclination and a straight line with the minimum inclination with respect to the block number of each access point 20 based on the obstacle location estimation list. . And the estimation part 115 makes the range enclosed with the identified straight line the range estimated that an obstruction exists. Similarly, the estimation unit 115 estimates a range where an inhibitor is estimated to be present, using an inhibitor location estimation list corresponding to the inhibitor present on the right side of the figure. As a result, the estimation unit 115 estimates the location of the obstacle that has affected the deterioration of the radio quality with respect to the radio wave intensity and the presence of the obstacle as the cause of the degradation.

  Next, a description will be given of a process for estimating the location of an object that has affected the deterioration of radio quality with respect to the transmission rate and the cause of the deterioration. More specifically, the estimation unit 115 extracts one record from the radio wave interference detection list created by the determination unit 114. And the estimation part 115 adds a record to an interference location estimation list, and adds the block number of a transmission rate fall block. Here, the estimation unit 115 deletes the record extracted from the radio wave interference detection list from the radio wave interference detection list.

  FIG. 22 is a diagram illustrating an example of the interference location estimation list. As shown in FIG. 22, the interference location estimation list includes information on the interference location estimation list. The block number of the position where the transmission speed decreases (deteriorates) due to the presence of a radio wave interference generating device that causes the transmission speed to decrease (deteriorates) is substituted into the interference location estimation list. A plurality of interference location estimation lists are created according to the number of radio wave interference generating devices existing on the floor of the building. That is, in FIG. 22, a case where two radio wave interference generating devices exist on the floor of a building is taken as an example.

  After adding a record to the interference location estimation list and adding the block number of the transmission rate reduction block, the estimation unit 115 extracts one block number from the record of the interference location estimation list. Then, the estimation unit 115 extracts all the records existing in the radio wave interference detection list (see FIG. 18) using the upper, lower, left, and right block numbers of the extracted block number. Note that the block numbers to be extracted from the radio wave interference detection list with respect to the block numbers in the interference location estimation list are not limited to upper, lower, left and right. Subsequently, the estimation unit 115 adds the extracted block number to the interference location estimation list. The record to be added is the same as the previously extracted block number. Here, the estimation unit 115 deletes the record extracted from the radio wave interference detection list from the radio wave interference detection list.

  In this way, the estimation unit 115 takes out the block number newly added to the interference location estimation list, except for the previously added block number, and detects radio wave interference using the upper, lower, left, and right block numbers of the extracted block number. After extracting all the records in the list, delete from the interference detection list and repeat the process of adding the extracted block number to the interference location estimation list until all block numbers are extracted from the interference location estimation list column. . The estimation unit 115 repeats the above processing until all records are extracted from the radio wave interference detection list. Accordingly, the estimation unit 115 creates the interference location estimation list shown in FIG.

  After creating the interference location estimation list, the estimation unit 115 performs processing for estimating the location of the radio wave interference generating device. More specifically, the estimation unit 115 calculates an average value of block numbers for each record in the created interference location estimation list. One record of the interference location estimation list is information corresponding to one radio wave interference generating device. Then, the estimation unit 115 sets the calculated average value (coordinates) as a place where the interference radio wave generation device is estimated to exist.

  FIG. 23 is a diagram illustrating an example of a place where an interference radio wave generation device is estimated to exist. In FIG. 23, the block numbers included in the interference location estimation list are represented by exclamation marks. As shown in FIG. 23, the estimation unit 115 calculates the average value of the block numbers of each record based on the interference location estimation list, and uses the calculated average value as the location where the interference radio wave generation device is estimated to exist. And In FIG. 23, the place where the interference radio wave generation device is estimated to be present is indicated by an ellipse. As a result, the estimation unit 115 estimates that the location of the interference radio wave generating device that has affected the deterioration of the radio quality with respect to the transmission rate and the presence of the interference radio wave generating device are the causes of the degradation.

  The display control unit 116 controls display of various information on the display 101 via the display I / F 15. For example, the display control unit 116 includes information indicating that the location of the obstacle that has affected the deterioration of the wireless quality with respect to the radio wave intensity estimated by the estimation unit 115, and that the presence of the obstacle is the cause of the degradation. Control for displaying on the display 101 is performed. Further, the display control unit 116 indicates that the cause of the deterioration is the location of the radio wave interference generating device that has affected the deterioration of the radio quality with respect to the transmission rate estimated by the estimation unit 115, and the presence of the radio wave interference generating device. Control for displaying the indicated information on the display 101 is performed. These various types of information may be output (transmitted) to an external device as well as displayed on the display 101 of the estimation device 10.

  FIG. 6 is a diagram illustrating an example of a functional configuration of the access point 20. As illustrated in FIG. 6, the access point 20 includes an information management unit 211, a usage log totaling unit 212, a storage unit 213, and a basic function processing unit 214. A part or all of these units other than the storage unit 213 may be realized by software (program), or may be realized by a hardware circuit.

  The information management unit 211 controls the exchange of various information with the estimation device 10 and the terminal device 30 via the communication I / F 25. The usage log totaling unit 212 records the terminal device 30 connected to the access point 20 and an actual measurement value of the transmission speed, and stores it in the storage unit 213 as log data. The information management unit 211 appropriately transmits the log data stored in the storage unit 213 to the estimation device 10. The basic function processing unit 214 executes various basic functions related to the access point 20.

  FIG. 7 is a diagram illustrating an example of a functional configuration of the terminal device 30. As illustrated in FIG. 7, the terminal device 30 includes an operation display control unit 311, an application control unit 312, a storage unit 313, an information management unit 314, and a basic function processing unit 315. A part or all of these units other than the storage unit 313 may be realized by software (program), or may be realized by a hardware circuit.

  The operation display control unit 311 controls display of various types of information on the display 35 and controls reception of various types of information according to user operations on the display 35. The application control unit 312 controls execution of various applications installed in the terminal device 30. For example, the application control unit 312 controls the execution of the radio wave condition observation application. The radio wave condition observation application has a function of periodically observing current Wi-Fi (registered trademark) environment and position information of the terminal device 30. In other words, in the present embodiment, the radio wave condition observation application is an application for measuring the radio wave intensity of the access point 20. The application control unit 312 stores information such as radio wave intensity measured by the radio wave condition observation application in the storage unit 313. The information management unit 314 controls exchange of various information with the access point 20 via the communication I / F 36. For example, the information management unit 314 transmits information such as the radio wave intensity measured by the radio wave condition observation application executed under the control of the application control unit 312 to the access point 20 via the communication I / F 36. The basic function processing unit 315 executes various basic functions related to the terminal device 30.

<Operation of estimation apparatus>
Next, the operation of the estimation device 10 will be described. FIG. 24 is a flowchart illustrating an exemplary flow of a radio wave environment aggregation list creation process.

  As illustrated in FIG. 24, the estimating apparatus 10 extracts one block of data from the radio wave state monitoring list (see FIG. 15) (step S101). Then, the estimation device 10 extracts one record from the radio wave intensity state monitoring list among the extracted one block of data (step S102). Subsequently, the estimation device 10 compares the estimated value of the radio field intensity with the actual measurement value (actual radio field intensity) (step S103), and determines whether or not the actual measurement value is below the radio field intensity decrease determination threshold with respect to the estimation value. Determination is made (step S104). At this time, when the measured value is not lower than the estimated value by the radio field intensity decrease determination threshold value (step S104: No), the estimating apparatus 10 sets the radio wave environment count list (see FIG. 16) to only 1 Increment (step S105). On the other hand, when the actually measured value is lower than the estimated value by the radio field intensity decrease determination threshold value (step S104: Yes), the estimating apparatus 10 sets the radio field intensity summary number in the radio environment summary list and the radio wave measured number to 1. Increment (step S106).

  Subsequently, the estimating apparatus 10 determines whether all records have been extracted from the radio wave intensity state monitoring list (step S107). At this time, when all the records are extracted (step S107: Yes), the estimating apparatus 10 executes the process of step S108. On the other hand, when all the records have not been extracted (step S107: No), the estimating apparatus 10 executes the process of step S102 again.

  Then, the estimating apparatus 10 extracts one record from the transmission rate state monitoring list (see FIG. 15) (step S108). Subsequently, the estimating apparatus 10 divides the estimated value of the transmission rate of the access point 20 as the connection destination by the number of simultaneously connected terminals, and compares it with the actually measured value of the transmission rate (step S109). Thereafter, the estimating apparatus 10 calculates a rate of decrease in the transmission rate from the difference between the actually measured value of the transmission rate and the value obtained by dividing the estimated value of the transmission rate by the number of simultaneously connected terminals (step S110). Then, the estimating apparatus 10 updates the average transmission rate decrease rate in the radio wave environment summary list and increments the number of transmission rate measurements by 1 (step S111). The update of the average transmission rate reduction rate refers to calculating the average transmission rate reduction rate in consideration of the calculated new reduction rate.

  Subsequently, the estimating apparatus 10 determines whether or not all records have been extracted from the transmission rate state monitoring list (step S112). At this time, when all the records are extracted (step S112: Yes), the estimating apparatus 10 executes the process of step S113. On the other hand, when all the records have not been extracted (step S112: No), the estimating apparatus 10 executes the process of step S108 again. As a result, in step S111, an average transmission measurement reduction rate is calculated in consideration of all the transmission rate reduction rates. Thereafter, the estimating apparatus 10 determines whether or not all blocks of data have been extracted from the radio wave condition monitoring list (step S113). At this time, the estimation device 10 ends the radio wave environment aggregation list creation process when the data of all the blocks is extracted (step S113: Yes). On the other hand, when the estimation device 10 has not extracted the data of all the blocks (step S113: No), the estimation device 10 executes the process of step S101 again.

  FIG. 25 is a flowchart illustrating an exemplary flow of an obstacle detection list creation process.

  As illustrated in FIG. 25, the estimating apparatus 10 extracts one block of data from the radio wave environment aggregation list (see FIG. 16) (step S201). Then, the estimation apparatus 10 refers to the radio wave intensity abnormality aggregation list among the extracted one block of data (step S202). Subsequently, the estimating apparatus 10 determines whether or not the ratio of the abnormal number of radio wave strengths continues for 24 hours or more and is equal to or higher than the threshold value for abnormal radio wave strength (step S203).

  At this time, when the ratio of the abnormal number of radio wave intensity continues for 24 hours or more and is equal to or higher than the radio field intensity abnormality threshold (step S203: Yes), the estimating apparatus 10 includes a block number in the obstacle detection list (see FIG. 17). And the AP name of the access point 20 in which the decrease in radio field intensity is detected (step S204). On the other hand, when the ratio of the number of abnormal radio field strengths continues for 24 hours or longer and is not equal to or greater than the threshold level of abnormal radio field intensity (step S203: No), the estimating apparatus 10 executes the process of step S205. Thereafter, the estimating apparatus 10 determines whether or not all blocks of data have been extracted from the radio wave environment aggregation list (step S205). At this time, when the estimation apparatus 10 extracts all the block data from the radio wave environment aggregation list (step S205: Yes), the obstacle detection list creation process ends. On the other hand, when the estimation device 10 has not extracted all the block data from the radio wave environment aggregation list (step S205: No), the estimation device 10 executes the process of step S201 again.

  FIG. 26 is a flowchart illustrating an exemplary flow of a radio wave interference detection list creation process.

  As illustrated in FIG. 26, the estimating apparatus 10 extracts one block of data from the radio wave environment aggregation list (see FIG. 16) (step S301). Then, the estimation device 10 refers to the transmission rate abnormality totaling list among the extracted data of one block (step S302). Subsequently, the estimating apparatus 10 determines whether or not the average transmission rate decrease rate continues for 24 hours or more and is equal to or higher than the transmission rate abnormality threshold (step S303).

  At this time, when the average transmission rate decrease rate continues for 24 hours or more and is equal to or higher than the transmission rate abnormality threshold (step S303: Yes), the estimating apparatus 10 adds a block number to the radio wave interference detection list (see FIG. 18). It adds (step S304). On the other hand, when the average transmission rate decrease rate continues for 24 hours or longer and is not equal to or higher than the transmission rate abnormality threshold (step S303: No), the estimating apparatus 10 executes the process of step S305. Thereafter, the estimating apparatus 10 determines whether or not all the block data has been extracted from the radio wave environment aggregation list (step S305). At this time, when the estimation device 10 extracts all the block data from the radio wave environment aggregation list (step S305: Yes), the radio wave interference detection list creation process ends. On the other hand, when the estimation device 10 has not extracted all the block data from the radio wave environment aggregation list (step S305: No), the estimation device 10 executes the process of step S301 again.

  FIG. 27 is a flowchart illustrating an example of the flow of the obstacle location estimation process.

  As illustrated in FIG. 27, the estimating apparatus 10 extracts one record from the inhibitor detection list (see FIG. 17) (step S401). Then, the estimating apparatus 10 adds a column to the obstacle location estimation list (see FIG. 19), and adds a block number to the corresponding access point 20 field (step S402). Subsequently, the estimating apparatus 10 extracts one block number from the column of the inhibitor place estimation list (step S403). Thereafter, the estimating apparatus 10 extracts all the records existing in the obstacle detection list with the block numbers of the upper, lower, left, and right of the extracted block number (step S404). Here, the estimation apparatus 10 deletes the record extracted from the obstacle detection list.

  And the estimation apparatus 10 determines whether all the block numbers were taken out from the column of an obstruction place estimation list | wrist (step S405). At this time, when all of the block numbers have been extracted (step S405: Yes), the estimating apparatus 10 executes the process of step S406. On the other hand, when not all the block numbers have been extracted (step S405: No), the estimating apparatus 10 executes the process of step S403 again. Subsequently, the estimating apparatus 10 determines whether or not all the records have been extracted from the obstacle detection list (step S406). At this time, when all the records are extracted (step S406: Yes), the estimating apparatus 10 executes the process of step S407. On the other hand, when all the records are not extracted (step S406: No), the estimating apparatus 10 executes the process of step S401 again.

  Thereafter, the estimation apparatus 10 extracts one column from the inhibitor location estimation list (step S407). Then, the estimating apparatus 10 takes out one record of the radio wave intensity lowering AP (step S408). Subsequently, the estimating apparatus 10 calculates the inclination between the block position of the access point 20 and each of the extracted block coordinates, and specifies a straight line with the maximum / minimum inclination (step S409). Thereafter, the estimating apparatus 10 determines whether or not the records of all the radio field strength lowering APs have been extracted (step S410). At this time, when the estimation apparatus 10 has extracted all the records of the radio field intensity decrease AP (step S410: Yes), the region surrounded by the identified straight line is set as a range in which the obstacle is estimated to exist. (Step S411). On the other hand, when the estimation device 10 has not taken out all the records of the radio field intensity decrease AP (step S410: No), the estimation device 10 executes the process of step S408 again.

  Subsequently, the estimating apparatus 10 determines whether or not all the columns have been extracted from the inhibitor location estimation list (step S412). At this time, when all the columns are extracted from the inhibitor location estimation list (step S412: Yes), the estimation apparatus 10 ends the inhibitor location estimation process. On the other hand, when all the columns are not extracted from the inhibitor location estimation list (step S412: No), the estimating apparatus 10 executes the process of step S407 again.

  FIG. 28 is a flowchart illustrating an example of the flow of a process for estimating the location of an interference radio wave generating device.

  As illustrated in FIG. 28, the estimating apparatus 10 extracts one record from the radio wave interference detection list (see FIG. 18), and deletes the extracted record from the radio wave interference detection list (step S501). Then, the estimation apparatus 10 adds a record to the interference location estimation list (see FIG. 22), and adds the block number of the extracted transmission rate reduction block (step S502). Subsequently, the estimating apparatus 10 extracts one block number from the record of the interference location estimation list (step S503).

  Thereafter, the estimating apparatus 10 extracts all the records existing in the radio wave interference detection list with the block numbers of the extracted block number, and the radio interference detection list, and deletes the extracted records from the radio wave interference detection list (step S504). Then, the estimating apparatus 10 adds the extracted block number to the record of the interference location estimation list (step S505). Subsequently, the estimating apparatus 10 determines whether or not all block numbers have been extracted from the column of the interference location estimation list (step S506).

  At this time, when all the block numbers are extracted from the column of the interference location estimation list (step S506: Yes), the estimation apparatus 10 executes the process of step S507. On the other hand, when the estimation apparatus 10 has not extracted all the block numbers from the column of the interference location estimation list (step S506: No), the estimation apparatus 10 executes the process of step S503 again. Thereafter, the estimating apparatus 10 determines whether or not a record remains in the radio wave interference detection list (step S507). At this time, when the record remains in the radio wave interference detection list (step S507: Yes), the estimating apparatus 10 executes the process of step S501 again. On the other hand, when no record remains in the radio wave interference detection list (step S507: No), the estimating apparatus 10 executes the process of step S508.

  Then, the estimation device 10 calculates the average value of the block numbers for each record in the interference location estimation list (step S508), and uses the calculated average value as the location where the interference radio wave generation device is estimated to exist ( Step S509). Thus, the estimating apparatus 10 ends the location estimating process for the interference radio wave generating device.

  As described above, according to the present embodiment, the estimation apparatus 10 sets the estimated value of the radio quality information in each divided area obtained by dividing the area where the access point 20 is installed. And the estimation apparatus 10 acquires the measured value of the radio | wireless quality information in each division area from the access point 20 or the terminal device 30. FIG. Subsequently, the estimating apparatus 10 determines whether or not the radio quality is deteriorated in each divided region from the set estimated value and the acquired actual measurement value. After that, the estimation apparatus 10 determines the location and deterioration of the object that has affected the deterioration of the wireless quality from the position information of the divided areas determined that the wireless quality is deteriorated and the wireless quality information used for the determination. Estimate the cause.

  The configuration of the estimation device 10 estimates the location and cause of deterioration of the object that has affected the degradation of wireless quality, thereby reducing the man-hour for investigation to identify the cause and location of the degradation of the quality of the wireless environment. can do.

  In addition, each component of each unit illustrated in the above embodiment does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each part is not limited to the one shown in the figure, and all or a part thereof may be functionally or physically distributed / integrated in arbitrary units according to various loads and usage conditions. Can be configured.

  Furthermore, various processing functions performed in each device are performed on a CPU (Central Processing Unit) (or a microcomputer such as an MPU (Micro Processing Unit), MCU (Micro Controller Unit), etc.) in whole or in part. You may make it perform. Various processing functions may be executed entirely or arbitrarily on a program that is analyzed and executed by a CPU (or a microcomputer such as an MPU or MCU) or hardware based on wired logic. .

1 wireless communication system 10 estimation device 20 access point 30 terminal device 111 setting unit 112 storage unit 113 acquisition unit 114 determination unit 115 estimation unit 116 display control unit

Claims (8)

A setting unit for setting an estimated value of radio quality information in each of the divided areas obtained by dividing the area in which the base station apparatus is installed;
An acquisition unit for acquiring measured values of wireless quality information in each of the divided areas;
A determination unit that determines whether radio quality is deteriorated in each of the divided regions from the set estimated value and the acquired actual measurement value;
Based on the position information of the divided areas determined to have deteriorated the wireless quality and the wireless quality information used for the determination, the location of the object that has affected the deterioration of the wireless quality and the cause of the deterioration are estimated. An estimation device comprising: an estimation unit. The setting unit sets an estimated value of the radio field intensity of the base station device,
The acquisition unit acquires an actual value of radio field intensity measured by a terminal device existing in the divided area,
The determination unit determines whether the radio quality with respect to the radio field strength is deteriorated from the estimated value and the actual measurement value of the radio field intensity,
2. The estimation unit according to claim 1, wherein, when it is determined that the wireless quality with respect to the radio field intensity is deteriorated, the estimation unit estimates the location of the inhibitor using the presence of the inhibitor as a cause of deterioration. The estimation device described. The setting unit sets an estimated value of a transmission rate of a terminal device connected to the base station device,
The acquisition unit acquires an actual measurement value of a transmission rate recorded by the base station device,
The determination unit determines whether or not the radio quality for the transmission rate is deteriorated from the estimated value and the actual measurement value of the transmission rate,
The estimation unit, when it is determined that the radio quality with respect to a transmission rate is deteriorated, estimates the location of the device based on the presence of a device that generates an interference radio wave. Item 3. The estimation device according to Item 1 or 2.   The said setting part sets the estimated value of the said radio | wireless quality information in each said division area by simulation, The estimation apparatus as described in any one of Claims 1-3 characterized by the above-mentioned. When the determination unit determines that the actually measured value of the radio field intensity is lower than a radio field intensity decrease determination threshold value for determining a decrease in radio field intensity with respect to the estimated value, for each position information of the divided area, Corresponding to the base station device, radio wave strength abnormality summary information is generated by incrementing the number of radio wave strength abnormalities indicating that the radio wave strength is abnormal, and based on the created radio wave strength abnormality summary information, If the ratio of the number continues for a predetermined time or more and is equal to or greater than a radio field strength abnormality threshold value for determining a radio field strength abnormality, the position information of the divided area determined to be abnormal, and the base station device Create obstacle detection information in association with the base station device identification information to identify,
The estimation unit extracts the position information of the divided region from the generated obstacle detection information, deletes the extracted position information from the obstacle detection information, and estimates the location of the inhibitor After adding the estimated information in association with the base station apparatus identification information, the position information of the divided area added to the obstacle location estimation information is extracted, and the position information in a predetermined direction with respect to the extracted position information The obstacle location estimation information is a process of extracting from the obstacle detection information, deleting the position information in the predetermined direction extracted from the obstacle detection information from the obstacle detection information, and adding to the inhibitor location estimation information. Repeatedly until all position information is extracted from, and further repeatedly until position information of all the divided regions is extracted from the obstacle detection information. On the basis of the created obstacle location estimation information, for each base station apparatus identification information, the base station apparatus position information and the division area position information have a straight line with the maximum inclination, and the inclination is The estimation apparatus according to claim 2, wherein a minimum straight line is specified, and a range surrounded by the specified straight line is set as a place where the inhibitor is estimated to exist. The determination unit calculates an average transmission rate decrease rate indicating an average value of the decrease rate of the transmission rate for each position information of the divided area from the measured value and the estimated value of the transmission rate, and calculates the calculated average transmission. Radio interference detection information including position information of the divided area determined to have an abnormal transmission rate when the rate of rate decrease is equal to or higher than a transmission rate abnormality threshold value for determining an abnormality in the transmission rate for a predetermined time or longer. Create
The estimation unit extracts position information of the divided area from the generated radio wave interference detection information, deletes the extracted position information from the radio wave interference detection information, and estimates a location of a device that generates interference radio waves In addition to the interference location estimation information, the position information of the divided region added to the interference location estimation information is extracted, the position information in a predetermined direction with respect to the extracted position information is extracted from the radio wave interference detection information, The position information in the predetermined direction extracted from the radio interference detection information is deleted from the radio interference detection information, and the process of adding to the interference location estimation information is repeated until all location information is extracted from the interference location estimation information. In addition, it is repeatedly executed until position information of all the divided areas is extracted from the radio wave interference detection information, and the created platform is The average value of the position information is calculated based on the location estimation information, and the calculated average value is a location where it is estimated that there is a device that generates the interference radio wave. Estimating device. The estimation device is
Set the estimated value of the radio quality information in each divided area obtained by dividing the area where the base station device is installed,
Obtaining actual measurement values of wireless quality information in each of the divided areas,
From the set estimation value and the acquired actual measurement value, it is determined whether or not radio quality is degraded in each of the divided areas,
Based on the position information of the divided areas determined to have deteriorated the wireless quality and the wireless quality information used for the determination, the location of the object that has affected the deterioration of the wireless quality and the cause of the deterioration are estimated. An estimation method characterized by performing processing. On the computer,
Set the estimated value of the radio quality information in each divided area obtained by dividing the area where the base station device is installed,
Obtaining actual measurement values of wireless quality information in each of the divided areas,
From the set estimation value and the acquired actual measurement value, it is determined whether or not radio quality is degraded in each of the divided areas,
Based on the position information of the divided areas determined to have deteriorated the wireless quality and the wireless quality information used for the determination, the location of the object that has affected the deterioration of the wireless quality and the cause of the deterioration are estimated. An estimation program characterized by causing a process to be executed.

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