JP2017200102A - Position/output determination device, position/output determination method, and position/output determination program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a position/output determination device capable of attaining acceleration while maintaining accuracy, a position/output determination method and a position/output determination program.SOLUTION: A position/output determination device comprises: a storage part for storing a presence time rate on a mobile count basis in a specific area where an existence time rate of a mobile becomes equal to or higher than a threshold among area models; a simulator for simulating a radio wave environment between transmitter positions in the area models and receiver position candidates with respect to multiple types of arrangements of mobile models in the specific area; a totaling part for totaling a result of the simulation for each receiver position candidate and for each number of mobile models to be arranged; and a determination part for weighting the result of the simulation for each receiver position candidate and for each number of mobile models to be arranged in accordance with the existence time rate on the mobile count basis stored in the storage part and determining a receiver position/output from the receiver position candidates based on a result of the weighting.SELECTED DRAWING: Figure 2

Description

  The present invention relates to a position / output determination device, a position / output determination method, and a position / output determination program.

  A technique for determining the installation position and output of a receiver by simulating a radio wave environment between the transmitter and the receiver is disclosed.

JP 2011-70384 A JP 2015-49532 A

  In the simulation, the presence of a moving body in the simulation target area is considered. For example, a technique for obtaining a presence rate of a moving body is disclosed (see, for example, Patent Documents 1 and 2). However, these techniques do not disclose simulation of the installation location of the receiver.

  In order to consider the existence of a moving object, it is conceivable to perform a simulation using a large number of samples. However, since the time required for the simulation is proportional to the number of samples, it is desirable to reduce the number of samples in order to speed up the simulation. On the other hand, if the number of samples is reduced, the simulation accuracy may be reduced.

  In one aspect, an object of the present invention is to provide a position / output determination device, a position / output determination method, and a position / output determination program capable of achieving high speed while maintaining accuracy.

  In one aspect, the position / output determination device includes: a storage unit that stores an existence time ratio for each number of moving objects in a specific area in which the existence time ratio of the moving object is greater than or equal to a threshold value in the area model; A simulator for simulating a radio wave environment between a transmitter position of the area model and each receiver position candidate for a plurality of types of arrangements of the mobile body model, and an arrangement of the mobile body model for each receiver position candidate For each number, according to the totaling unit for counting the results of the simulation and the existence time ratio for each number of moving objects stored in the storage unit, for each receiver position candidate and for each number of moving body models arranged A determination unit that performs weighting on the simulation result and determines a receiver position and output from the receiver position candidates based on the weighting result. That.

  The speed can be increased while maintaining the accuracy.

(A) And (b) is a figure which illustrates the relationship between a receiver and a transmitter. 1 is a block diagram illustrating the overall configuration of a position / output determination device according to a first embodiment; (A) And (b) is a figure which illustrates an area model. (A) is a figure which illustrates a division area, (b) is a figure which illustrates a frequent appearance area. (A)-(d) is a figure which illustrates an arrangement pattern. (A)-(d) is a figure which illustrates a simulation file, (e) is a figure which illustrates the case where each moving body is piled up. (A)-(c) is a figure showing the other example of an arrangement pattern. It is a figure which illustrates the 1st frequent appearance area and the 2nd frequent appearance area. It is a figure which illustrates a simulation result. It is a figure which illustrates a simulation result. It is a figure which illustrates a simulation result. (A)-(c) is a figure which illustrates the superimposition of cumulative distribution. It is the figure which piled up the calculation result which the calculating part calculated. It is a flowchart which illustrates the whole flow of the process performed by the position and output determination apparatus. It is a flowchart which illustrates the detail of step S1-step S5 of FIG. It is a flowchart which illustrates the detail of step S6-step S8 of FIG. It is a flowchart which illustrates the detail of step S6-step S8 of FIG. It is a block diagram for demonstrating the hardware constitutions of a position and output determination apparatus.

  FIG. 1A and FIG. 1B are diagrams illustrating the relationship between the receiver 201 and the transmitter 202. As illustrated in FIG. 1A and FIG. 1B, the receiver 201 and the transmitter 202 are fixedly installed at specific positions. The transmitter 202 transmits information acquired by a sensor or the like at a position where the transmitter 202 is installed by a wireless signal. The receiver 201 receives a radio signal transmitted from the transmitter 202. A combination of the receiver 201 and the transmitter 202 may be referred to as a link. One or more links are provided for one receiver 201. The installation position of the receiver 201 may be referred to as an access point.

  When the moving body moves between the receiver 201 and the transmitter 202, radio waves are shielded, reflected, diffracted, and the like, and the radio wave environment between the receiver 201 and the transmitter 202 is affected. For example, as illustrated in FIG. 1A, in a retail store or the like, the radio wave environment between the receiver 201 and the transmitter 202 is affected by the movement of the shopper. As illustrated in FIG. 1B, the radio wave environment between the receiver 201 and the transmitter 202 is affected by the movement of automobiles, bicycles, pedestrians, and the like outdoors. For example, when a moving body is located between the receiver 201 and the transmitter 202, the received power of the receiver 201 is reduced. Further, when a plurality of sensors or receivers 201 operate simultaneously, if communication is performed with a large output in order to increase received power, interference occurs and communication becomes unstable.

  Locations where the moving body moves are not uniformly distributed but tend to concentrate in a specific area. That is, depending on the installation position of the receiver 201, the influence of the radio wave environment due to the movement of the moving body may be increased or decreased. When the receiver 201 is installed at a position where the influence of the radio wave environment due to the movement of the moving body is reduced, the variation in the received power of the receiver 201 is reduced. Therefore, in order to construct a stable radio wave environment, the receiver 201 is installed at a position where the reception power is large and the influence of the radio wave environment due to the movement of the mobile body is small, and the minimum necessary to prevent interference. It is preferable to communicate at the output. Therefore, a method for determining the installation position and output of the receiver 201 by simulation is desired.

  For example, by using a simulation such as ray tracing, the movement of the moving body in order to estimate the variation in received power (RSSI: Received Signal Strength Indication) due to the movement of the moving body in the installation environment of the receiver 201 and the transmitter 202. A large number of simulations can be performed. When obtaining a statistically optimal position, the time required for the simulation is proportional to the number of samples. Therefore, in order to speed up the simulation, it is desirable to reduce the number of samples or shorten the execution time per sample.

  For example, when a simulation is performed based on the coordinates of a moving body every second, 600 files are required even for only 10 minutes. When the number of moving objects varies depending on the time zone, if the simulation is performed based on the time zone with a large number of moving bodies, it is determined that the radio wave environment is poor and the output is increased or the number of receivers 201 is increased. Etc. will be obtained. In this case, it becomes a factor of interference in the construction of the wireless environment, or extra installation cost is required. On the other hand, when the simulation is performed with reference to a time zone with a small number of moving objects, the radio wave environment is good and the output is set to a small value or the number of receivers is reduced. In this case, desired reception power that can be stably connected cannot be obtained in a time zone in which the number of moving objects is large.

  Therefore, in the following embodiments, a position / output determination device, a position / output determination method, and a position / output determination program that can speed up simulation by reducing the number of samples while maintaining simulation accuracy will be described.

  FIG. 2 is a block diagram illustrating the overall configuration of the position / output determination apparatus 100 according to the first embodiment. As illustrated in FIG. 2, the position / output determination device 100 includes a photographing device 10, a moving body analysis unit 20, a storage unit 30, a file generation unit 40, a file group storage unit 50, a simulator 60, a totaling unit 70, and a calculation unit. 80, a determination unit 90, and the like. The storage unit 30 includes an area model storage unit 31, a moving body model storage unit 32, an arrangement pattern storage unit 33, a first presence rate storage unit 34, and a second presence rate storage unit 35.

  The area model storage unit 31 stores an area model to be simulated. FIG. 3A and FIG. 3B are diagrams illustrating an area model. FIG. 3A shows an area model expressed in 3D. FIG. 3B is a 2D representation of the area model of FIG. The area model can be obtained by performing 3D modeling using a 3D scanner, a floor map, or the like. The simulator 60 can reproduce the original area of the area model using the area model.

  The area model shown in FIGS. 3A and 3B is a lobby of a building. In the lobby, an automatic door D1 for entering from outside the building and an automatic door D2 for entering the room are provided. In such an area model, the moving body (person) moves in a concentrated manner between the automatic door D1 and the automatic door D2. Therefore, the installation position of the receiver 201 is simulated assuming that the moving body moves between the automatic door D1 and the automatic door D2. Here, a direction connecting the automatic door D1 and the automatic door D2 is a Y-axis direction, and a direction orthogonal to the Y-axis direction on the floor surface is an X-axis direction.

  The photographing apparatus 10 is a video camera or the like, photographs an actual area that is the basis of an area model, and transmits an obtained image to the moving body analyzing unit 20. The moving body analysis unit 20 extracts the existence time rate of the moving body in the area model based on the image received from the imaging device 10. The existence time rate is a ratio of time in which one or more moving objects are present in a predetermined time. The extraction of the existence time ratio may be performed either when the entire area model is handled as one area or when divided into a plurality of areas. As illustrated in FIG. 4A, the moving body analyzing unit 20 divides the area model into a plurality of areas (small regions). The area obtained by the division is hereinafter referred to as a divided area. In the example of FIG. 4A, the area model is divided into a plurality of 50 cm square square divided areas. Further, as shown in FIG. 5, it may be divided into areas having different sizes in the X-axis direction and the Y-axis direction.

  The moving body analyzing unit 20 extracts the moving body from the image received from the imaging apparatus 10 by image processing, thereby calculating the existence time ratio of the moving body for the entire area model and each divided area. For example, the mobile body analysis unit 20 calculates the existence time rate for each number of mobile bodies for each divided area. The mobile body analysis unit 20 calculates the mobile body existence time ratio of each divided area by calculating the sum of the existence time ratios according to the number of mobile bodies. The moving body existence time rate for each divided area calculated by the moving body analysis unit 20 is stored in the first existence ratio storage unit 34. For example, a person often moves near the center in the X-axis direction between the automatic door D1 and the automatic door D2. Accordingly, in the example of FIG. 4B, the moving object existence time ratio is equal to or greater than the threshold value in the shaded area. The shaded portion in FIG. 4B is hereinafter referred to as a frequent area. Moreover, the mobile body analysis part 20 calculates the existence time rate according to the number of mobile bodies for the entire frequent area. The existence time ratio for each number of moving objects in the frequent appearance area is stored in the second existence ratio storage unit 35.

  The moving body model storage unit 32 stores a moving body model. In this embodiment, a model corresponding to the size, shape, etc. of the person is used in order to focus on the person as the moving body. For example, what approximates the shape of a person to a simple three-dimensional shape can be used as the moving body model. In the drawings of this specification, it is simply drawn with a circle. In the present embodiment, the width of the frequent area in the X-axis direction corresponds to four moving body models. Locations where the mobile object model can be arranged in the X-axis direction of the frequent appearance area are referred to as columns. Therefore, in the present embodiment, the number of columns in which the mobile body model can be arranged is 4 in the frequent appearance area.

  The arrangement pattern storage unit 33 stores one or more arrangement patterns for one or more moving body models. An arrangement pattern is a mode of arrangement of a moving body model in a frequent appearance area. As illustrated in FIG. 5A, the arrangement pattern storage unit 33 stores four patterns in which one moving object is arranged in each column when the number of moving objects is one. As illustrated in FIG. 5B, the arrangement pattern storage unit 33 stores two rows of three patterns adjacent in the X-axis direction when the number of moving objects is two. As illustrated in FIG. 5C, the arrangement pattern storage unit 33 stores two patterns of three columns adjacent in the X-axis direction when the number of moving objects is three. As illustrated in FIG. 5D, the arrangement pattern storage unit 33 stores one pattern of four columns adjacent in the X-axis direction when the number of moving objects is four. In addition, the arrangement pattern memorize | stored in the arrangement pattern memory | storage part 33 is not limited to Fig.5 (a)-FIG.5 (d).

  The file generation unit 40 creates a simulation file when the moving body model moves in the frequent appearance area. In the present embodiment, the file generation unit 40 creates a simulation file for each arrangement pattern stored in the arrangement pattern storage unit 33. For example, the file generation unit 40 moves (arranges) four moving bodies in the Y-axis direction at a predetermined interval (for example, 50 cm) for the arrangement pattern in FIG. Is generated. In the arrangement pattern of FIG. 5A, the file generation unit 40 moves (arranges) one moving body in the Y-axis direction at a predetermined interval for each column, and generates a simulation file for each arrangement. The simulation file generated by the file generation unit 40 is stored in the file group storage unit 50.

  FIG. 6A is a diagram illustrating an example of a simulation file when the number of moving objects is one. FIG. 6B is a diagram illustrating an example of a simulation file when the number of moving objects is two. FIG. 6C is a diagram illustrating an example of a simulation file when the number of moving objects is three. FIG. 6D is a diagram illustrating an example of a simulation file when the number of moving objects is four. FIG. 6E is a diagram illustrating an example in which the coordinates of movement of each moving object are plotted with dots. As shown in FIG. 6 (e), a simulation is performed so that the number of moving bodies is evenly arranged as (number of columns that can be arranged in the X-axis direction) × (the number of all arrangement points at a predetermined interval in the Y-axis direction). It is preferable to generate a file. Similarly, as for the number of other moving bodies, as shown in FIG. 6 (e), it is arranged evenly (the number of columns that can be arranged in the X-axis direction) × (the number of all arrangement points at a predetermined interval in the Y-axis direction). In addition, it is preferable to generate a simulation file. In each simulation when a plurality of moving bodies are arranged, the arrangement of some of the moving bodies may overlap.

  The arrangement pattern is not limited to FIGS. 5 (a) to 5 (d). For example, as illustrated in FIG. 7A, the arrangement pattern storage unit 33, when there are two moving objects, arrangement patterns adjacent in the X axis direction, arrangement patterns adjacent in the Y axis direction, and different columns The arrangement pattern etc. which are spaced apart in the Y-axis direction may be stored. As illustrated in FIG. 7B, when there are three moving bodies, the arrangement pattern storage unit 33 includes at least an arrangement pattern adjacent in the X axis direction, an arrangement pattern adjacent in the Y axis direction, and at different columns. An arrangement pattern or the like in which the two are separated in the Y-axis direction may be stored. As illustrated in FIG. 7C, the arrangement pattern storage unit 33 includes at least four arrangements that are adjacent in the X-axis direction, adjacent in the Y-axis direction, and in different columns when there are four moving bodies. An arrangement pattern or the like in which the two are separated in the Y-axis direction may be stored.

  The simulator 60 performs ray tracing simulation on the radio wave environment between the receiver 201 and the transmitter 202 for each simulation file. For example, the simulator 60 acquires, by simulation, received power at which the receiver 201 receives a radio signal from the transmitter 202 as a radio wave environment, and acquires RSSI, delay spread, and the like.

  A plurality of frequent areas may be set according to the moving object presence rate. For example, as illustrated in FIG. 8, the file generation unit 40 extracts, as the first frequent area, a divided area in which the moving object existence time rate is equal to or higher than the first threshold, and the moving object existence time rate is the second threshold value. The divided area that is less than the first threshold may be extracted as the second frequent area. For example, the weight of the simulation result of the first frequent area may be increased and the weight of the simulation result of the second frequent area may be decreased. For example, when generating each simulation file, the moving interval of the moving body in the first frequent area may be reduced (for example, 50 cm interval), and the moving interval of the moving body in the second frequent area may be increased (for example, 100 cm interval). ). As described above, when the simulation files are overlapped, the file generation unit 40 increases the frequent area so that the arrangement interval of the moving body model becomes denser as the existence time ratio by the number of moving objects in the frequent area increases. A moving body model may be arranged at.

  The totaling unit 70 acquires the simulation results of the simulator 60 and totals the simulation results for each installation position candidate of the receiver 201 and for each number of moving objects in the frequent appearance area. The computing unit 80 creates a cumulative distribution obtained by integrating the frequency of occurrence of received power for each number of moving objects. FIG. 9 is a diagram illustrating a simulation result when the receiver 201 is arranged at the first access point AP1. FIG. 10 is a diagram illustrating a simulation result when the receiver 201 is arranged at the second access point AP2. FIG. 11 is a diagram illustrating a simulation result when the receiver 201 is arranged at the third access point AP3. AP1 to AP3 are installation position candidates of the receiver 201 in the area model. 9 to 11, the vertical axis represents the RSSI cumulative distribution function (CDF: Cumulative Distribution Function).

  FIG. 12A shows the cumulative distribution for each number of moving objects at any access point as a curve. FIG. 12C is a diagram exemplifying the existence time rate for each moving object stored in the second existence rate storage unit 35. In the cumulative distribution of FIG. 12A, it is assumed that 100 samples are acquired for each moving object. The computing unit 80 calculates the reception probability at each position by adjusting the number of data samples in accordance with the existence time rate of the frequent area and adding the cumulative distribution for each number of moving objects. Specifically, the calculation unit 80 weights the simulation result for each number of moving objects according to the existence time ratio for each number of moving objects stored in the second existence rate storage unit 35. For example, the calculation unit 80 increases the weighting of the simulation result of the number of moving objects corresponding to the existence time rate as the existence time rate is higher.

  Since the existence time rate when the number of moving objects is one is the highest, 40%, the calculation unit 80 maximizes the weight of 100 samples when the number of moving objects is one. For example, the calculation unit 80 copies 100 samples in the case of one moving body to 400 times 4 times. Since the existence time ratio when the number of moving objects is two is the second highest, 30%, the calculation unit 80 increases the weight of 100 samples second when the number of moving objects is two. For example, the computing unit 80 copies 100 samples when the number of moving objects is two to make 300 samples, which is three times as many. Since the existence time ratio when the number of moving objects is three is the third highest, 20%, the calculation unit 80 increases the weight of 100 samples when the number of moving objects is three to the third largest. For example, the calculation unit 80 copies 100 samples when the number of moving objects is three to double 200 samples. Since the existence time rate when the number of moving objects is four is the lowest, 10%, the calculation unit 80 does not copy 100 samples when the number of moving objects is four. The calculation unit 80 obtains the CDF of the sum of 1000 samples. FIG. 12B is a diagram illustrating a calculation result. The computing unit 80 calculates the result of FIG. 12B for each access point.

  The determination unit 90 determines the optimum installation position and optimum output of the access point from the calculation result of the calculation unit 80. FIG. 13 is a diagram in which the calculation results calculated by the calculation unit 80 are superimposed. That is, FIG. 13 is a diagram illustrating the reception probability of each access point. As an operation standard, when the operation time rate is 95% and the minimum reception intensity is −50 dBm, the optimum access point is AP2. Since AP3 also satisfies the conditions, the AP position may be selected based on the ease of wiring. The minimum output that satisfies the conditions of the operation time rate and the minimum reception strength as the operation standard is the optimum output. When a plurality of sensors or APs operate, a channel design that avoids interference based on the optimum output is possible. In addition, after first performing a design that avoids channel duplication so that interference does not occur, an AP position may be selected while satisfying the operating time rate and the minimum reception strength conditions under the conditions. As an operation standard, when the operation time rate is 90% and the minimum reception strength is −50 dBm, the optimum access point is AP2. Since all APs satisfy the conditions, the Ap position may be selected based on the ease of wiring. As an operation standard, when the operation time rate is 80% and the minimum reception strength is −50 dBm, the optimum access point is AP1. Since all APs satisfy the conditions, the AP position may be selected based on the ease of wiring.

  Next, details of the processing of the position / output determination apparatus 100 will be described using a flowchart. FIG. 14 is a flowchart illustrating an overall flow of processing executed by the position / output determination apparatus 100. As illustrated in FIG. 14, the position / output determination apparatus 100 calculates a frequent appearance area (step S <b> 1). Next, the position / output determination apparatus 100 performs an analysis based on the number of moving objects (step S2). Next, the position / output determining apparatus 100 calculates the existence time rate for each number of moving objects (step S3). Next, the position / output determination apparatus 100 generates a simulation file (step S4). Next, the position / output determining apparatus 100 performs ray tracing simulation (step S5).

  Next, the position / output determination apparatus 100 determines whether or not ray tracing simulation has been executed for all simulation files (step S6). If it is determined as “No” in step S6, step S5 is executed on the unexecuted simulation file. If it is determined as “Yes” in step S6, the position / output determination apparatus 100 performs superimposition of the cumulative distribution (step S7). Next, the position / output determining apparatus 100 determines the optimum position of the receiver 201 (step S8).

  FIG. 15 is a flowchart illustrating details of steps S1 to S5 in FIG. As illustrated in FIG. 15, first, the division granularity and the determination threshold value for the analysis target area are set by the user (step S <b> 11). The division granularity is a unit for dividing the area model stored in the area model storage unit 31 into divided areas. The analysis target area determination threshold value is a threshold value for determining a time rate at which a moving object is present in each divided area.

  Next, the mobile body analysis unit 20 divides the area model stored in the area model storage unit 31 according to the division granularity set in step S11 (step S12). Next, the mobile body analysis part 20 determines whether the analysis of all the divided areas has been completed (step S13). When it is determined as “No” in step S13, the moving body analyzing unit 20 selects one from the unanalyzed divided areas, calculates the existence time ratio for each moving body in the divided area, and the first existence It memorize | stores in the rate memory | storage part 34 (step S14).

  Next, the moving body analysis unit 20 determines whether or not the existence time rate of the moving body in the divided area stored in the first existence rate storage unit 34 exceeds a threshold value (step S15). The existence time rate of the moving objects in the divided area is the total of the existence time ratios by the number of moving objects. If it is determined as “Yes” in step S15, the file generation unit 40 recognizes the divided area as a frequent appearance area and sets it as a simulation target area (step S16). Thereafter, the process is executed again from step S13. Even if “No” is determined in step S15, the process is executed again from step S13. At that time, the divided area is treated as an analyzed divided area.

  If it is determined as “Yes” in step S13, the moving body analyzing unit 20 calculates the existence time rate for each moving object for the entire frequent area and stores it in the second existence rate storage unit 35 (step S13). S17). Next, the file generation unit 40 sets the arrangement interval of the moving objects (step S18). Specifically, the file generation unit 40 determines the arrangement interval (row) of the moving body in the X-axis direction and the movement in the Y-axis direction in the frequent area from the width in the X-axis direction of the frequent area and the size of the moving body model. Set the body spacing (rows).

  Next, when there are a plurality of frequently appearing areas, the file generating unit 40 determines whether or not the simulation file generation has been completed for all the frequently appearing areas (step S19). When it is determined “No” in step S19, the file generation unit 40 calculates the arrangement coordinates of the moving object in the frequent appearance area (step S20). Next, the file generation unit 40 generates a simulation file by arranging a moving object in the frequent appearance area (step S21). Thereafter, step S19 is executed. If it is determined as “Yes” in step S19, the simulator 60 performs ray-trace simulation for all the simulation files (step S22).

  16 and 17 are flowcharts illustrating details of steps S6 to S8 in FIG. As illustrated in FIGS. 16 and 17, the calculation unit 80 counts RSSI of each link for each number of moving objects (step S <b> 31). Next, the calculation unit 80 acquires the existence time rate for each moving object from the second existence rate storage unit 35 (step S32). Next, the arithmetic unit 80 superimposes the RSSI data according to the existence time rate for each number of moving objects (step S33).

  Next, the determination unit 90 creates a CDF (step S34). Next, the determination part 90 acquires the value along the operation time rate between all the links for every access point (step S35). For example, the determination unit 90 acquires 5% as the CDF value when the operation time rate is 95%.

  Next, the determination unit 90 determines whether or not the number of access points to be installed is “1” (step S36). When it is determined as “No” in step S36, the determination unit 90 compares the values of all the links in the combination of the plurality of access points, and sets the maximum one as the combination and the RSSI of the transmitter 202 ( Step S37).

  Next, the determination unit 90 compares the values according to the operation time rate between all the links for each access point, and extracts the smallest one (step S38). Next, the determination unit 90 determines whether there is an access point or a combination in which the received power exceeds the received power threshold (step S39).

  When it is determined as “Yes” in Step S39, the determination unit 90 determines an access point having the maximum reception power among the access points whose reception power exceeds the reception power threshold as the optimum access point (Step S40). In this case, the determination unit 90 determines another access point as an installable access point. When it is determined “No” in step S39, the determination unit 90 determines whether or not the operation time rate exceeds the minimum guaranteed time rate (step S41). When it determines with "Yes" at step S41, the determination part 90 changes an operation time rate (step S42). Thereafter, the process is executed again from step S38.

  When it determines with "No" at step S41, the determination part 90 determines whether an output value is below a maximum output value (step S43). When it determines with "Yes" at step S43, the determination part 90 increases an output by increments, such as 5 dB, for example (step S44). Thereafter, the process is executed again from step S36. If “No” is determined in step S43, it is determined whether or not the number of installed access points is the maximum number of installable access points (step S45). When it is determined as “Yes” in Step S45, the determination unit 90 increases the number of installed access points by one (Step S46). Next, the determination unit 90 returns the output value to the reference value (step S47). Thereafter, the process is executed again from step S36. When it is determined “No” in step S45, the determination unit 90 sets the maximum number of APs that can be installed and the maximum output value as the optimal position and the optimal output (step S48). When performing channel design, the determination unit 90 performs the determination after determining the optimum AP installation number, position, output, and the like.

  According to the present embodiment, the mobile object model is not arranged in the entire area model, but is arranged in a specific area of the area model. Thereby, the number of simulation files can be suppressed. Moreover, since the specific area is a frequent area where the moving object's existence time ratio is equal to or greater than the threshold, the simulation is performed in an area where the influence of the moving object is large. Thereby, simulation accuracy can be maintained. Specifically, simulation results are aggregated for each receiver position candidate and for each number of moving objects, and for each number of moving objects, according to the existence time ratio for each number of moving objects stored in the second existence ratio storage unit 35. The simulation results are weighted. The receiver position and output are determined based on the simulation result after the weighting. According to this method, the simulation result for each number of moving objects is appropriately reflected. Therefore, simulation accuracy is maintained.

  For example, if data sampling is performed every second, 900 files are required in 10 minutes, 3600 files are required in 1 hour, and 43200 files are required in 12 hours. On the other hand, if 100 files are prepared for each number of moving objects, 400 files are sufficient when the number of moving objects is 4, and 1000 files are sufficient even when the number of moving objects is 10. Thus, according to the present embodiment, the number of simulation files can be reduced, and the simulation can be speeded up.

  FIG. 18 is a block diagram for explaining a hardware configuration of the position / output determination apparatus 100. As illustrated in FIG. 18, the position / output determination device 100 includes a CPU 101, a RAM 102, a storage device 103, an interface 104, and the like. Each of these devices is connected by a bus or the like. A CPU (Central Processing Unit) 101 is a central processing unit. The CPU 101 includes one or more cores. A RAM (Random Access Memory) 102 is a volatile memory that temporarily stores programs executed by the CPU 101, data processed by the CPU 101, and the like. The storage device 103 is a nonvolatile storage device. As the storage device 103, for example, a ROM (Read Only Memory), a solid state drive (SSD) such as a flash memory, a hard disk driven by a hard disk drive, or the like can be used. The CPU 101 executes the position / output determination program stored in the storage device 103, whereby the position / output determination device 100 is realized.

  Although the embodiments of the present invention have been described in detail above, the present invention is not limited to such specific embodiments, and various modifications and changes can be made within the scope of the gist of the present invention described in the claims. It can be changed.

DESCRIPTION OF SYMBOLS 10 Imaging device 20 Mobile body analysis part 30 Memory | storage part 31 Area model memory | storage part 32 Mobile body model memory | storage part 33 Arrangement pattern memory | storage part 34 1st presence rate memory | storage part 35 2nd presence rate memory | storage part 40 File generation part 50 File group storage part 60 Simulator 70 Counting Unit 80 Calculation Unit 90 Determination Unit 100 Position / Output Determination Device

Claims (6)

In a specific area where the existence time rate of the moving object is equal to or greater than the threshold in the area model, a storage unit that stores the existence time rate for each number of moving objects;
A simulator for simulating a radio wave environment between a transmitter position of each area model and each receiver position candidate for a plurality of types of arrangements of the moving body model in the specific area;
For each receiver position candidate and for each arrangement number of the moving body model, a totaling unit that totalizes the simulation results;
According to the existence rate by the number of moving objects stored in the storage unit, the simulation results for each of the receiver position candidates and the number of arrangements of the moving object models are weighted, and the weighted results are obtained. A position / output determination device comprising: a determination unit configured to determine a receiver position / output based on the receiver position candidates.   2. The moving body model is arranged in the specific area so that the arrangement interval of the moving body model becomes denser as the existence time ratio by the number of moving bodies in the specific area is higher. The position / output determination device described. A photographing device for photographing an actual area that is the basis of the area model;
An analysis unit that identifies the specific area from the number of moving objects for each small region of the area and the existence time rate for each number of moving objects by analyzing the photographing result of the photographing apparatus. The position / output determination device according to claim 1 or 2.   The analysis unit calculates an existence time rate for each number of moving objects in the entire specific area from the number of moving objects for each small region of the area and the existence time rate for each number of moving objects, and stores the calculated existence time rate in the storage unit. The position / output determining apparatus according to claim 3. In a specific area where the existence time rate of the moving object is equal to or greater than the threshold in the area model, the storage unit stores the existence time rate for each number of moving objects
The simulator simulates the radio wave environment between the transmitter position of the area model and each receiver position candidate for a plurality of types of arrangements of the mobile body model in the specific area,
For each of the receiver position candidates and for each number of arrangements of the moving body model, the counting unit totals the simulation results,
According to the existence time ratio for each number of moving objects stored in the storage unit, the simulation results for each of the receiver position candidates and the number of arrangements of the moving object models are weighted, and the weighted results are obtained. Based on the receiver position candidate, a determination unit determines a receiver position / output based on the receiver position candidate. On the computer,
In a specific area where the existence time rate of the moving object is equal to or greater than the threshold in the area model, a process of storing the existence time rate for each number of moving objects;
A process of simulating a radio wave environment between a transmitter position of the area model and each receiver position candidate for a plurality of types of arrangements of the mobile body model in the specific area;
A process of counting the simulation results for each receiver position candidate and for each number of mobile model arrangements;
According to the stored existence time ratio by the number of moving objects, the simulation results for each of the receiver position candidates and the number of arrangements of the moving object models are weighted, and based on the weighting results, And a process for determining a receiver position / output from a receiver position candidate.

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