JP2022186418A - Wireless communication characteristics prediction system and IoT wireless monitoring system - Google Patents

Abstract

To provide a wireless communication characteristic prediction system that reduces man-hours for estimating electromagnetic field strength in a communication service provision area, and an IoT wireless monitoring system using the system.SOLUTION: A wireless communication characteristic prediction system 100 includes an electromagnetic field computation device and an output device. The electromagnetic field computation device includes a calculation device that performs predetermined processing and a storage device that can be accessed by the calculation device, repeatedly performs ray tracing calculations to estimate electromagnetic field distribution, changes generation states of reflected waves, diffracted waves, and scattered waves in ray tracing calculations from acquired position data of a structure in a communication service provision area, and transmits the estimated electromagnetic field distribution to the output device. The output device outputs the estimated electromagnetic field distribution.SELECTED DRAWING: Figure 1

Description

The present invention relates to a wireless communication characteristic prediction system in which a structure that scatters radio waves analyzes the radio wave environment within a service area.

2. Description of the Related Art With the worldwide spread of portable wireless information terminals, there is an increasing demand for enjoying wireless communication services such as wireless communication and wireless data transfer regardless of the surrounding environment. If there is a radio wave scatterer (structure) in the communication service area, the scatterer scatters the electromagnetic waves of the wireless communication medium. Areas where power is reduced and good quality wireless communication is difficult occur within the communication service area. Such a weak electric field region is caused by the positional relationship of the electromagnetic wave scatterers within the communication service area and the positional relationship of the transmitters and receivers for wireless communication. Prediction of the communication situation based on the arrangement state of the aircraft is important for wireless communication network formation. In order to know the communication status of a specific transmitter/receiver arrangement within a communication service area, it is necessary to actually place the transmitter/receiver within the same area and measure the received power at multiple points. Since the transmitter and receiver are affected by radio wave scatterers around them, it is necessary to prevent entry into the measurement target area in order to minimize fluctuation factors during measurement. cost is required.

In order to solve such problems, an electromagnetic field model for analyzing the wireless communication characteristics within the communication service area is constructed in a computer, and the electromagnetic field distribution in the arrangement state of the transceivers within the communication service area is calculated. Techniques for virtual realization have been proposed.

As background arts in this technical field, there are the following prior arts. For example, in Patent Document 1 (Japanese Patent Application Laid-Open No. 2015-800616), a digital camera generates image data of a target area photographed from a plurality of directions. The image processing device extracts the features of structures in the target area from the image data and the imaging conditions, and obtains structure feature data. The analytical numerical model generating device generates numerical model data from the structure characteristic data. The received power analysis device performs electromagnetic field analysis on the numerical model data based on the radio conditions, outputs the received power of the radio as a calculation result, and the display shows the wireless network position design method. (see summary).

In addition, in Patent Document 2 (Japanese Patent Application Laid-Open No. 2010-74729), the first radio wave propagation characteristic estimation data from the transmission point to the building of the reception point using plane data is calculated by the ray launching method. an imaging method calculation unit 7 for calculating, by an imaging method, second radio wave propagation characteristic estimation data from a transmission point to a receiving point building using vertical cross-sectional data; the first radio wave propagation characteristic estimation data; a synthesizing unit 8 that calculates indoor penetration data up to a radio wave receiving point inside the building for each of the radio wave propagation characteristics estimation data of 2, and synthesizes the indoor penetration data. (see summary).

Further, in Patent Document 3 (Japanese Laid-Open Patent Publication No. 9-33584), information on the positions of the start and end points of a road through which radio waves can pass and information on the walls of buildings near the road is stored as element information 60 . Also, information on the positions of intersections through which radio waves can pass, the positions of roads relative to the intersections, and information on diffraction points by buildings near the intersections is stored as node information 50 . Using the positions of the start and end points stored as the element information 60, the position of the intersection and the positional relationship of the road with respect to the intersection stored as the node information 50, the route of roads and intersections from the transmission point to the reception point is searched. Using element information of roads and node information of intersections included in the searched route, wall surfaces and diffraction points near the route are constructed. A field strength calculator is described that calculates the field strength by ray-tracing radio waves from a transmitting point using the walls and diffraction points and summing the power of rays that reach the receiving point (see abstract).

In addition, in Patent Document 4 (Japanese Patent Application Laid-Open No. 3-235013), a scattering cross section calculation device for calculating the scattering cross section of a target is provided, in which a virtual line that divides the target into a plurality of individuals is drawn on the surface of the target. When the target is divided by a virtual line, points are set on the circumference of the cross section of each individual at approximately the wavelength interval of the radio waves used, and the points set for each individual are connected with a straight line, and the above virtual line A polyhedron approximation means for forming a plurality of triangles for each surface of the target divided into each individual, forming a plurality of triangles on the surface of the target, and approximating the target with a polyhedron, and The angle formed by the edge searching means for searching for all sides visible from the incident direction of the polyhedron and the incident direction present in each of the two faces sharing this side in each side searched by this side searching means, and unit vector calculation means for obtaining unit vectors forming equal angles with the observation direction; equivalent wave source calculation means for obtaining equivalent wave sources having directions of the unit vectors to be provisionally provided on the respective sides; A scattering cross section computing device characterized by comprising a diffracted wave computing means for determining a diffracted wave in an observation direction and a scattering cross section computing means for determining a scattering cross section from the sum of the diffracted waves ( See claim 1).

JP 2015-800616 A JP 2010-74729 A JP-A-9-33584 JP-A-3-235013

The prior art described above reproduces the distribution of radio wave scatterers in a communication service area on a computer resource by using the actual measurements of the physical dimensions of the radio wave scatterers and the specifications of the radio wave scatterers. By determining the electrical characteristics of the body, using an electromagnetic wave scattering object virtually constructed on computer resources as the object of electromagnetic field calculation, the electromagnetic wave used for communication is a ray that approximates light rays. Estimate the electromagnetic field distribution. This prior art method requires a huge amount of man-hours to reproduce the distribution of electromagnetic wave scatterers with accurate physical dimensions on computer resources, and the electromagnetic wave distribution in the region where rays are shielded by the electromagnetic wave scatterers in ray tracing calculations. In order to calculate , there is a problem that another calculation process that requires more computer resources than the calculation process for the area where the ray is not intercepted is required.

A representative example of the invention disclosed in the present application is as follows. That is, the wireless communication characteristic prediction system includes an electromagnetic field calculation device and an output device, and the electromagnetic field calculation device includes an arithmetic device that executes predetermined processing and a storage device that can be accessed by the arithmetic device. and estimates the electromagnetic field distribution by repeatedly performing ray tracing calculations, and from the acquired position data of structures in the communication service area, the generation states of reflected waves, diffracted waves, and scattered waves in the ray tracing calculations are determined. and transmitting the estimated electromagnetic field distribution to the output device, and the output device outputs the estimated electromagnetic field distribution.

According to one aspect of the present invention, it is possible to reduce man-hours for estimating the electromagnetic field strength within a communication service area. Problems, configurations, and effects other than those described above will be clarified by the following description of the embodiments.

1 is a diagram showing the configuration of a wireless communication characteristic prediction system of Example 1; FIG. FIG. 10 is a diagram showing the configuration of a wireless communication characteristic prediction system of Example 2; FIG. 11 is a diagram showing the configuration of a wireless communication characteristic prediction system of Example 3; FIG. 11 is a diagram showing the configuration of a wireless communication characteristic prediction system of Example 4; FIG. 12 is a diagram showing the configuration of a wireless communication characteristic prediction system of Example 5; FIG. 12 is a diagram showing the configuration of a wireless communication characteristic prediction system of Example 6; FIG. 12 is a diagram showing the configuration of a wireless communication characteristic prediction system of Example 7; FIG. 20 is a diagram showing the configuration of a wireless communication characteristic prediction system of Example 8; FIG. 22 is a diagram showing the configuration of a wireless communication characteristic prediction system of Example 9; FIG. 22 is a diagram showing the configuration of a wireless communication characteristic prediction system of Example 10; 4A and 4B are diagrams showing data structures of various tables used by the wireless communication characteristic prediction system of the first embodiment; FIG. 2 is a diagram showing an operation flow of the wireless communication characteristic prediction system of Example 1; FIG. 2 is a diagram showing an operation flow of the wireless communication characteristic prediction system of Example 1; FIG. 2 is a diagram showing an operation flow of the wireless communication characteristic prediction system of Example 1; FIG. 4 is a diagram showing radiation of diffracted waves and scattered waves other than reflected waves in Example 1. FIG. 4 is a diagram showing radiation of diffracted waves and scattered waves other than reflected waves in Example 1. FIG. FIG. 4 is a diagram showing an example of a process of creating polygon groups from point cloud data in Example 1; FIG. 4 is a diagram showing an example of a process of creating polygon groups from point cloud data in Example 1; FIG. 4 is a diagram showing an example of a process of creating polygon groups from point cloud data in Example 1; FIG. 4 is a diagram showing an example of a process of creating polygon groups from point cloud data in Example 1; FIG. 4 is a diagram showing an example of engineering by an IoT radio monitoring system using the radio communication characteristic prediction system of the present invention; FIG. 5 is a diagram showing another example of engineering by the IoT radio monitoring system using the radio communication characteristic prediction system of the present invention;

An embodiment will be described below with reference to the drawings.

<Example 1>
An example of a wireless communication characteristic prediction system according to an embodiment of the present invention will be described with reference to FIGS. 1 and 11 to 20. FIG. The wireless communication characteristic prediction system of this embodiment reduces the implementation cost of a wireless system that provides communication services.

FIG. 1 is a diagram showing the configuration of a wireless communication characteristic prediction system 101 of embodiment 1, FIG. 11 is a diagram showing the data structure of various tables used by the wireless communication characteristic prediction system 101, and FIGS. FIG. 15 and FIG. 16 are diagrams showing the radiation of diffracted waves and scattered waves other than reflected waves, and FIGS. It is a figure which shows an example of the process of creating.

A wireless communication characteristic prediction system 100 shown in FIG. , from the structural data storage device 140 that transfers data to the calculation model generation device 110, the electromagnetic field calculation device 150 that receives data from the structure data storage device 140, and the display device 180 that receives data from the electromagnetic field calculation device 150 Configured.

A measurement wireless device 1 is a rangefinder having a measurement high-frequency signal source 2 and a measurement antenna 3. A high-frequency electromagnetic wave generated by the measurement high-frequency signal source 2 is transmitted and received from the measurement antenna 3. Using the distance from the measurement radio 1 to each point on the surface of the electromagnetic wave scatterer existing within the communication service area and the direction from the measurement radio 1 to each point as vector data, It is sent to the computational model generation device 110 with information on the measurement location added.

The communication radio 4 has a communication high-frequency signal source 5 and a communication antenna 6, transmits and receives high-frequency electromagnetic waves generated by the communication high-frequency signal source 5 from the communication antenna 6, and receives information on the received electromagnetic waves. is added with the spatial coordinates of the measurement location within the communication service area, and sent to the calculation model generation device 110 . If the frequency of the radio wave used for communication by the communication radio 4 is lower than the frequency of the radio wave used for measurement by the measurement radio 1 to 1/4 or less (preferably 1/10 or less), the frequency of the radio wave is within the communication service area. The detailed shape of the electromagnetic wave scatterer can be acquired, and the calculation accuracy of the electromagnetic field distribution can be improved.

The calculation model generation device 110 stores the data received from the measurement radio 1 and the communication radio 4 in the point cloud storage circuit 111 . The point cloud coordinate generation circuit 112 calculates the coordinates of a plurality of points on the electromagnetic wave scatterer measured using the data on the electromagnetic wave scatterer stored in the point cloud storage circuit 111 . The point cloud filter circuit 113 uses the coordinates calculated by the point cloud coordinate generation circuit 112 to determine isolated points from all the points, and deletes the data regarding the determined points. A polygon generation circuit 114 generates polygons, which are polygonal elements, using the data regarding the points determined by the point cloud filter circuit 113 . A polygon group formation circuit 115 classifies the plurality of polygons generated by the polygon generation circuit 114 into a plurality of polygon groups using the positional relationship with adjacent polygons. The adjacent polygon joining state data generation circuit 116 calculates the connection relationship of each polygon group generated by the polygon group forming circuit 115 using the connection relationship with the adjacent polygons. The polygon attribute determination circuit 117 uses the connection relationship between the polygon groups calculated by the adjacent polygon connection state data generation circuit 116 and the communication wavelength of the communication wavelength data 143 held in the structure data storage device 140 to determine the number of pixels in the polygon group. Information and attributes on the electromagnetic field of the measurement location added with the point cloud data on the determined points, the data on the polygon group, and the spatial coordinates on the measurement location in the communication service area by adding attributes to each polygon of is sent to the structural data storage device 140.

In the structural data storage device 140 , the point cloud table 141 stores the point cloud data regarding the determined points sent by the computational model generation device 110 . The communication area data 142 stores information about the electromagnetic field of the measurement location to which data about the polygon group and the spatial coordinates of the location of the measurement within the communication service provision area are added. The contents stored in the communication area data 142 are output to the communication area storage circuit 160 of the electromagnetic field computing device 150 . The communication wavelength data 143 stores wavelengths used for wireless communication. The polygon table 144 stores polygon data to which attributes are added. The electrical property table 145 stores information on electrical constants such as permittivity, magnetic permeability, and conductivity. The data stored in the polygon table 144 is added with information on the electrical constants stored in the electrical property table 145 and output to the polygon table storage circuit 161 of the electromagnetic field computing device 150 . As shown in FIG. 11, the data structures of the point cloud table 141, communication area data 142 and polygon table 144 are arrays of spatial coordinates.

In the electromagnetic field computing device 150, the iteration condition setting circuit 151 sets the iteration condition for controlling the number of times the ray is emitted. The transmission point generating circuit 152 uses the contents of the communication area storage circuit 160 to generate transmission points within the communication service providing area. The reception point generating circuit 153 uses the contents of the communication area storage circuit 160 to generate a plurality of reception points within the communication service providing area. The ray emission circuit 154 uses the information of the transmission point generated by the transmission point generation circuit 152 and the reception point generated by the reception point generation circuit 153 to set the repetition condition setting circuit 151 of the electromagnetic field calculation device 150 in advance. Depending on the content, multiple rays are generated in different directions from the transmission point. A receiver incoming power accumulating circuit 155 determines whether the ray generated by the ray emitting circuit 154 passes through a predetermined finite area around the receiving point using the contents of the communication area storage circuit 160, and determines whether or not the ray has passed. In case, the energy of the ray at the point where the ray collides with the finite area is integrated considering the phase, and the ray arrival flag of the receiving point is set. A ray/polygon collision determination circuit 156 determines whether or not the ray generated by the ray emission circuit 154 has collided with each polygon existing within the communication service area by using the contents of the polygon table storage circuit 161. . A re-radiated ray selection circuit 157 collates the polygon information from the ray/polygon collision determination circuit 156 with the contents of the polygon table storage circuit 161 to select the type of ray to be re-radiated. The re-radiated ray generation circuit 158 re-radiates rays using the information of the re-radiated ray selection circuit 157 . The iteration condition determination circuit 159 monitors the number of recurrences of the re-radiated ray generation circuit 158, and if the number of recurrences is within the number of times predetermined by the iteration condition setting circuit 151, the ray emission circuit 154 operates. If the number of times is exceeded, the operation of the ray emission circuit 154 is terminated. Then, the electromagnetic field computing device 150 stores the contents of the communication area storage circuit 160, the contents of the polygon table storage circuit 161, information on all rays generated by the ray emission circuit 154, and the incoming power integration circuit of the receiver. 155 each finite area and the summation result taking into account the energy and phase of the ray at the point of impact is sent to the display device 180 .

The calculation model generation device 110, the structural data storage device 140, and the electromagnetic field calculation device 150 described above are configured by a computer having a processor (CPU), memory, auxiliary storage device, and communication interface.

A processor is a computing device that executes programs stored in memory. The functions of each device are realized by the processor executing various programs. Note that part of the processing performed by the processor by executing the program may be performed by another arithmetic device (for example, hardware such as ASIC and FPGA).

The memory includes ROM, which is a non-volatile storage element, and RAM, which is a volatile storage element. The ROM stores immutable programs (eg, BIOS) and the like. RAM is a high-speed and volatile storage device such as DRAM (Dynamic Random Access Memory), and temporarily stores programs executed by a processor and data used during execution of the programs.

The auxiliary storage device is, for example, a large-capacity, non-volatile storage device such as a magnetic storage device (HDD) or flash memory (SSD). In addition, the auxiliary storage stores data used by the processor when executing programs and programs executed by the processor. That is, the program is read from the auxiliary storage device, loaded into the memory, and executed by the processor to implement the functions of each device.

A communication interface is a network interface device that controls communication with other devices according to a predetermined protocol.

A computer may have an input interface and an output interface. An input interface is an interface to which an input device such as a keyboard and a mouse is connected and which receives input from a user. The output interface is an interface to which an output device such as a display device 180 and a printer, which will be described later, is connected, and which outputs the execution result of the program in a form that can be visually recognized by the user.

A program executed by the processor is provided to each device via removable media (CD-ROM, flash memory, etc.) or a network, and stored in a non-volatile auxiliary storage device, which is a non-temporary storage medium. Therefore, the computer should have an interface for reading data from removable media.

Each device is a computer system configured on one physical computer or on multiple computers configured logically or physically, and is a virtual computer configured on multiple physical computer resources. can work on. The functional units of each device may operate on separate physical or logical computers, or may be combined to operate on one physical or logical computer.

The display device 180 has a structure display circuit 181 , a ray display circuit 182 , an electromagnetic field display circuit 183 and a polygon display circuit 184 . The structure display circuit 181 displays the storage contents of the communication area storage circuit 160 input from the electromagnetic field calculation device 150 on the display. Ray display circuitry 182 displays information about all rays generated by the ray firing circuitry 154 . The electromagnetic field display circuit 183 displays the result of integrating the ray energy at the point of collision with each finite area of the incoming power integration circuit 155, taking into consideration the phase. A polygon display circuit 184 displays the contents of the polygon table storage circuit 161 .

Note that the display device 180 may be a terminal connected to the electromagnetic field calculation device 150 via a network. In this case, the electromagnetic field computing device 150 has the function of a web server, the display device 180 accesses the electromagnetic field computing device 150 with a predetermined protocol (for example, http), and the web browser of the display device 180 realizes the display function. . Also, the display device 180 may execute a dedicated application to realize the display function. Also, together with the display device 180 or instead of the display device 180, an interface for outputting wireless communication characteristic prediction results to another computer system may be provided. In this way, various forms can be adopted for the output device that outputs the wireless communication characteristic prediction result.

FIG. 12 is a flowchart of an example of calculation model generation processing executed by the calculation model generation device 110 .

After giving spatial coordinates to the points indicating each point on the surface of the electromagnetic wave scatterer in the communication service area, the maximum value l _max and the minimum value l _min of the distance between the points are set as thresholds (200), and the electromagnetic wave scattering A first wavelength for calculating the electromagnetic wave characteristics of the body and a second wavelength of the electromagnetic wave used for communication are set (201), the resolution of the spatial coordinates of the point is reset at the first wavelength shorter than the second wavelength, and the resolution is reset. Calculate the nearest two-point distance in the point group having the set spatial coordinates (203), and if the two-point distance is smaller than the set minimum value _lmin of the point-to-point distance (no in 204), These two points are replaced with a point having intermediate coordinates (205). Then, the points in the point group are transformed so that the distances between all the points in the point group are equal to or greater than the minimum value, and a triangular polygon is generated from the three closest points d1, d2, and d3 of the point group after transformation. (206) Using the positional relationship information and connection relationship information of the generated polygons, if it is considered that adjacent polygons are continuously present on the same plane within a predetermined error range, the polygons are grouped into the same group. Group (207). A plurality of polygon groups formed after the grouping is completed are classified (208), the same electrical characteristics are given to the polygons belonging to each group, and the calculation model generation process is completed (209).

FIG. 13 is a flowchart of an example of polygon group generation processing 206 in the processing of FIG.

A threshold value for the outer dimensions of a polygon group consisting of a plurality of continuous polygons, a threshold value L for a connection angle allowed for adjacent polygons in the polygon group, and a threshold value δ for curvature are set (210, 211). One central polygon P ₀ is selected from all polygons (212), and up to three polygons P ₁ , P ₂ and P ₃ adjacent to the central polygon P ₀ are extracted (213). The connection angles q ₁ , q ₂ , q ₃ between the center polygon P ₀ and up to three adjacent polygons are calculated (214), and if the connection angles q ₁ , q ₂ , q ₃ are smaller than the threshold yes), these four polygons are grouped together (217). If the outline G _i of the formed polygon group is larger than the threshold value L (yes in 218), this group is classified as a polygon group G ^R that generates reflected waves (219). After completing the above-described processing for all polygons (yes at 220), one polygon is selected from all polygons as a new central polygon P ₀ (221), and the polycon P ₁ adjacent to the central polygon, Extract P ₂ , P ₃ (222). If the groups to which the center polygon and the adjacent polygons belong are the same (yes in 223), these groups are classified into polygon groups G ^R that generate reflected waves (225). If the groups to which the central polygon and the adjacent polygons belong are different and both groups are not polygon groups that form reflected waves (no at 223, no at 224), these groups are classified into polygon groups G ^S that generate scattered waves ( 226). If the groups to which the central polygon and the adjacent polygons belong are different and only one group is not the polygon group that forms the reflected wave (no at 223, yes at 225), these groups are assigned to the polygon group G ^D that generates the diffracted wave. Classify (227). After all the polygons have been classified into polygon groups (yes at 223), electrical characteristics are given to each polygon (229), and the polygon group generation process ends.

FIG. 14 is a flowchart of an example of electromagnetic field calculation processing performed by the electromagnetic field calculation device.

Set 230 the maximum propagation path thresholds l _min and l _max for rays used in ray tracing calculations. A transmission point and a reception point are set within a communication service area (231), and a ray accumulation space is set around the reception point (232). Set 233 the maximum ray reoccurrence N _max in the ray tracing computation. Rays are emitted omnidirectionally in three dimensions with a defined resolution from the transmission point (234). A polygon that collides with each ray radiated from the transmission point is searched (235), and a reflected wave ray is generated from the searched polygon and re-radiated (236).

If the searched polygon belongs to a polygon group that generates diffracted waves (yes at 237), a ray of diffracted waves is generated from the same polygon and re-radiated (238). An example of the radiation direction of the diffracted waves is, as shown in FIG. The ray of the diffracted wave is linearly symmetrical with respect to the ray colliding within the virtual plane formed by the ray colliding with the polygon and the vector orthogonal to the ridge that bisects the connection angle of determines the re-radiation direction of

If the searched polygon belongs to a polygon group that generates scattered waves (yes at 239), then a ray of scattered waves is generated from the same polygon and re-radiated (240). As shown in FIG. 16, one example of the radiation direction of the scattered wave is two polygons belonging to another adjacent polygon group sharing the same edge line, with the side corresponding to the outline of the polygon forming the outline of each polygon group as the edge line. A ray colliding within a virtual plane formed by a vector orthogonal to the edge that bisects the connecting angle of the polygon and a ray colliding with the polygon determines the direction of re-radiation of Therefore, unlike the diffracted wave ray, the scattered wave ray has a degree of freedom in the direction of re-radiation, and as an example, a plurality of rays may be re-radiated at regular intervals. Also, multiple re-radiated scattered wave rays may be re-radiated depending on the circumstances in which the ray hits the polygon again. The number of ray re-emissions is monitored, and if the number of re-emissions exceeds the threshold, ray emission is terminated (no in 241). For all rays formed within the communication service area, the power for all rays passing through one such ray accumulation space is phase-summed (242).

17 to 20, a plurality of polygons are generated from a large number of points on each surface of a plurality of electromagnetic wave scatterers existing within the communication service area, and these polygons are divided into various polygon groups having different attributes. Show the process of classification. The point cloud shown in FIG. 18 can be obtained for the objects placed in the communication service area, which is the electromagnetic field characteristic calculation target space shown in FIG. The acquired point cloud is used to generate the polygons shown in FIG. 19, and the generated polygons are classified to form attribute groups as shown in FIG.

According to this embodiment, the spatial coordinates of each point on the surface of the electromagnetic wave scatterer within the communication service area are obtained by measurement using an electromagnetic wave having a frequency higher than the communication frequency, and the obtained spatial coordinates are used on the computer resources. Ray tracing calculation of the electromagnetic field distribution in the communication service area is possible, and the ray tracing calculation can be performed only by collision verification of the polygon that models the ray and the electromagnetic wave scatterer and re-radiation of the ray at the time of collision. It is possible to construct a model for calculating the electromagnetic field distribution in the communication service area and to perform the electromagnetic field calculation using the constructed model at high speed. In addition, it is possible to reduce the man-hours and time required to build a wireless communication system within the communication service area, and reduce the cost required to build the wireless communication system.

<Example 2>
Another example of the wireless communication characteristic prediction system according to the present invention will be described with reference to FIG. The second embodiment differs from the first embodiment in that an electromagnetic field calculation device 170 having a reflected ray generation circuit 162, a secondary ray determination circuit 163, and a secondary ray generation circuit 164 is used instead of the electromagnetic field calculation device 150 of the first embodiment. different from 1. In Example 2, differences from Example 1 will be mainly described, and the same components as those in Example 1 will be given the same reference numerals, and their description will be omitted.

FIG. 2 is a diagram showing the configuration of the wireless communication characteristic prediction system 101 of the second embodiment.

In the electromagnetic field computing device 170 of this embodiment, the ray/polygon collision determination circuit 156 determines whether or not the ray generated by the ray emission circuit 154 collides with a polygon within the communication service area. 161 for determination. The reflected ray generation circuit 162 generates reflected waves that re-radiate from all polygons that the ray hits. The secondary ray determination circuit 163 uses the information in the polygon table storage circuit 161 to determine whether the polygon collided with the ray re-radiates a secondary ray of a diffracted wave or scattered wave different from the reflected wave. The secondary ray generation circuit 164 generates a secondary ray re-radiated from the polygon based on the determination result of the secondary ray determination circuit 163 . Reflected waves generated by rays reflected by polygons reflect the macroscopic characteristics of structures, such as diffracted waves generated by rays wrapping around polygons at the corners of structures, and rays scattered by polygons. Scattered waves reflect the microscopic properties of structures. The secondary ray generation circuit 164 of the second embodiment generates secondary rays considering both micro-features and macro-features of such structures. Therefore, the electromagnetic field characteristics can be calculated accurately regardless of the size of the structure or the range where the structure radio wave is irradiated (that is, whether the radio wave is irradiated to the whole structure or to a part of the structure). can.

The repetition condition determination circuit 159 monitors the number of times the ray is regenerated by the re-radiated ray generation circuit 158, and if the number of recurrences is within a predetermined number of times, the ray emission circuit 154 continues to operate, and the ray is regenerated. If the number of occurrences exceeds the predetermined number, the operation of the ray emission circuit 154 is terminated. Then, the electromagnetic field computing device 170 stores the contents of the communication area storage circuit 160, the contents of the polygon table storage circuit 161, information on all rays generated by the ray emission circuit 154, and the incoming power integration circuit of the receiver. 155 each finite area and the summation result taking into account the energy and phase of the ray at the point of impact is sent to the display device 180 .

According to this embodiment, in the process of reradiating the ray from the polygon that the ray collided with, the reflected wave, the diffracted wave, and the scattered wave are generated by different elements. , can be executed by a dedicated routine, and electromagnetic field analysis by ray tracing calculation can be speeded up. As a result, it is possible to reduce the man-hours and time required to build a wireless communication system within the communication service area, and reduce the cost required to build a wireless communication system.

<Example 3>
Another example of the wireless communication characteristic prediction system according to the present invention will be described with reference to FIG. Embodiment 3 is an embodiment in that an electromagnetic field calculation device 171 having a secondary ray provisional generation circuit 176 and a second ray/polygon collision determination circuit 177 is used instead of the electromagnetic field calculation device 170 of the second embodiment. 2 different. In Example 3, differences from Example 2 will be mainly described, and the same components as those in Example 2 will be given the same reference numerals, and their description will be omitted.

FIG. 3 is a diagram showing the configuration of the wireless communication characteristic prediction system 102 of the third embodiment.

In the electromagnetic field calculation device 171 of this embodiment, the secondary ray determination circuit 163 uses the information in the polygon table storage circuit 161 to determine whether the polygon collided with the ray re-radiates a secondary ray different from the reflected one. do. The secondary ray tentative generation circuit 176 generates a secondary ray tentatively emitted from the polygon based on the determination result of the secondary ray determination circuit 163 . The second ray/polygon collision determination circuit 177 uses the information in the polygon table storage circuit 161 to determine which polygon group the provisionally emitted ray will collide with. The secondary ray generation circuit 164, based on the determination result of the second ray/polygon collision determination circuit 177, if the provisionally emitted ray does not collide with a polygon of the polygon group for which the secondary ray is to be generated again, the polygon Re-radiate secondary rays from The repetition condition determination circuit 159 monitors the number of recurrences of the re-radiated ray generation circuit 158, and if the number of recurrences is within a predetermined number of times, the operation of the ray emission circuit 154 is continued. exceeds a predetermined number of times, the operation of the ray firing circuit 154 is terminated. As for the number of times of recurrence, an upper limit number that differs depending on the cause of secondary ray generation may be used. For example, since the reflected wave is stronger than the diffracted wave and the scattered wave, it is preferable to increase the upper limit number of times. The electromagnetic field computing device 171 stores the contents of the communication area storage circuit 160, the contents of the polygon table storage circuit 161, information on all rays generated by the ray emission circuit 154, and the incoming power accumulating circuit of the receiver. 155 each finite area and the summation result taking into account the energy and phase of the ray at the point of impact is sent to the display device 180 .

According to this embodiment, in order to prevent secondary rays that are not reflected waves from re-radiating secondary rays, for reflected waves whose influence can be ignored in the electromagnetic field calculation results, reflected waves with an orderly weak intensity Furthermore, since the processing of weak rays in order can be omitted, the electromagnetic field analysis by ray trace calculation can be speeded up, and as a result, the man-hours and time required to build a wireless communication system within the communication service area can be reduced. , the cost required to build a wireless communication system can be reduced.

<Example 4>
Another example of the wireless communication characteristic prediction system according to the present invention will be described with reference to FIG. The fourth embodiment differs from the first embodiment in that a camera 8 is used as a distance measuring device in place of the wireless device 1 for measurement, and a video data conversion device 7 for acquiring video data from the camera 8 is provided. In Example 4, differences from Example 1 will be mainly described, and the same components as those in Example 1 will be given the same reference numerals, and their description will be omitted.

FIG. 4 is a diagram showing the configuration of the wireless communication characteristic prediction system 103 of the fourth embodiment.

The video data conversion device 7 uses image diagnosis technology to calculate the coordinates of each point on the surface of the electromagnetic wave scattering body within the communication service area from the video data acquired by the camera 8, and the calculation model generation device 110 calculates Print the result.

According to this embodiment, the only electromagnetic wave emitted by this system to acquire the data required by the computational model generation device 110 is the communication radio 4, and compared to the embodiment of FIG. Since the amount of emitted electromagnetic waves can be reduced, the electromagnetic interference that this system gives to other systems can be reduced.

<Example 5>
Another example of the wireless communication characteristic prediction system according to the present invention will be described with reference to FIG. The fifth embodiment differs from the first embodiment in that a calculation model generation device 130 newly having a polygon combining circuit 118 is used instead of the calculation model generation device 110 . In Example 5, differences from Example 1 will be mainly described, and the same reference numerals will be given to the same configurations as in Example 1, and their description will be omitted.

FIG. 5 is a diagram showing the configuration of the wireless communication characteristic prediction system 104 according to the fifth embodiment.

In the computational model generating device 130 of this embodiment, the polygon group forming circuit 115 classifies the polygons generated by the polygon generating circuit 114 into a plurality of polygon groups using the positional relationship with adjacent polygons. The polygon combining circuit 118 combines the plurality of polygons generated by the polygon generation circuit 114 and replaces the plurality of adjacent polygons into one polygon for each of the plurality of polygon groups using the positional relationship with the adjacent polygons. The polygon combining circuit 118 may refer to the communication wavelength data 143 to combine polygons. For example, they may be grouped into polygons having a size equal to or less than 1/4 of the wavelength of the electromagnetic waves for communication. Also, the polygon may be made large at the central portion of the electromagnetic wave scatterer, and the polygon may be made small at the corners of the electromagnetic wave scatterer. Secondary rays are generated mainly by reflection at the central portion of the electromagnetic wave scatterer, and it is necessary to consider secondary rays generated by scattering and diffraction at the corners of the electromagnetic wave scatterer. For this reason, it is preferable to make the polygon large in the central part of the electromagnetic wave scatterer in order to consider the macroscopic features, and to make the polygon small in the corners of the electromagnetic wave scatterer to consider the microscopic features. The adjacent polygon joining state data generation circuit 116 calculates the connection relationship of each polygon group generated by the polygon group forming circuit 115 using the connection relationship between a plurality of polygons and adjacent polygons.

According to this embodiment, since the total number of polygons in the calculation model used by the electromagnetic field calculation device 150 can be reduced, it is possible to reduce collision determination between rays and polygons that are frequently repeated in ray tracing calculations, and electromagnetic field analysis by ray tracing calculations can be performed. can be accelerated. As a result, it is possible to reduce the man-hours and time required to build a wireless communication system within the communication service area, and reduce the cost required to build a wireless communication system.

<Example 6>
Another example of the wireless communication characteristic prediction system according to the present invention will be described with reference to FIG. The sixth embodiment differs from the first embodiment in that a calculation model generation device 131 having an adjacent polygon connection state determination/data generation circuit 119 is used instead of the adjacent polygon connection state data generation circuit 116 . In Example 6, differences from Example 1 will be mainly described, and the same components as those in Example 1 will be given the same reference numerals, and their description will be omitted.

FIG. 6 is a diagram showing the configuration of the wireless communication characteristic prediction system 105 of the sixth embodiment.

In the computational model generation device 131 of this embodiment, the adjacent polygon connection state determination/data generation circuit 119 connects each polygon group generated by the polygon group formation circuit 115 using the connection relationship between a plurality of polygons and adjacent polygons. Calculate relationships. When the polygon is connected to another polygon, the polygon attribute determination circuit 117 uses the connection relationship between the polygon groups calculated by the adjacent polygon connection state determination/data generation circuit 119 to determine the attribute of each polygon in the polygon group. is added, and if the polygon does not connect to another polygon, the process returns to the point cloud filter circuit 113 to remove each point in the point cloud forming the polygon.

According to this embodiment, in the ray tracing calculation performed by the electromagnetic field calculation device 150, polygons having a size that does not affect the electromagnetic field analysis results, that is, polygons that are smaller than the wavelength of the electromagnetic wave for communication can be removed from the calculation target. The speed of electromagnetic field analysis by race calculation can be increased. As a result, it is possible to reduce the man-hours and time required to build a wireless communication system within the communication service area, and reduce the cost required to build a wireless communication system.

<Example 7>
Another example of the wireless communication characteristic prediction system according to the present invention will be described with reference to FIG. The seventh embodiment differs from the first embodiment in that a structural data storage device 190 having structural property data 146 is used instead of the structural data storage device 140 of the first embodiment. In Example 7, differences from Example 1 will be mainly described, and the same reference numerals will be given to the same configurations as in Example 1, and their description will be omitted.

FIG. 7 is a diagram showing the configuration of the wireless communication characteristic prediction system 106 of the seventh embodiment.

The structural physical property data 146 of the structural data storage device 190 provides the polygon attribute determination circuit 117 of the calculation model generation device 110 with the electrical characteristics of the electromagnetic wave scattering bodies within the communication service area. The polygon attribute determination circuit 117 changes the scatterer structure determined from the structure of the polygon group.

According to this embodiment, the properties of the ray that is re-radiated when the ray collides with the polygon can be changed according to the difference in the electrical characteristics of the electromagnetic wave scatterer, so the accuracy of the electromagnetic field analysis by ray tracing calculation is improved. It is possible to make the electromagnetic field distribution in the communication service area estimated by this system more realistic. As a result, it is possible to reduce the man-hours and time required to build a wireless communication system within the communication service area, and reduce the cost required to build a wireless communication system.

<Example 8>
Another example of the wireless communication characteristic prediction system according to the present invention will be described with reference to FIG. The eighth embodiment has an electromagnetic field computing device 172 having a reflected ray generating circuit 162, a secondary ray determining circuit 163, a diffraction ray generating circuit 167, and a scattering ray generating circuit 166 instead of the electromagnetic field computing device 150 of the first embodiment. is different from Example 1 in that In the eighth embodiment, differences from the first embodiment will be mainly described, and the same reference numerals will be given to the same configurations as in the first embodiment, and the description thereof will be omitted.

FIG. 8 is a diagram showing the configuration of the wireless communication characteristic prediction system 107 of the eighth embodiment.

In the electromagnetic field calculation device 172 of this embodiment, the ray/polygon collision determination circuit 156 determines whether or not the ray generated by the ray emission circuit 154 collides with a polygon within the communication service area. 161 for determination. The reflected ray generation circuit 162 generates reflected waves that re-radiate from all polygons that the ray hits. The secondary ray determination circuit 163 uses the information in the polygon table storage circuit 161 to determine whether the polygon collided with the ray re-radiates a secondary ray of a diffracted wave or scattered wave different from the reflected wave. The diffraction ray generation circuit 167 generates a diffraction ray re-radiated from the polygon based on the determination result of the secondary ray determination circuit 163 . The scattered ray generation circuit 166 generates a scattered ray re-radiated from the polygon based on the determination result of the secondary ray determination circuit 163 . The repetition condition determination circuit 159 monitors the number of recurrences of rays by the diffraction ray generation circuit 167 and the scattered ray generation circuit 166, and if the number of recurrences is within a predetermined number of times, the ray emission circuit 154 If the operation continues and the number of recurrences exceeds the predetermined number, the operation of the ray firing circuit 154 is terminated. Then, the electromagnetic field computing device 172 stores the contents of the communication area storage circuit 160, the contents of the polygon table storage circuit 161, information on all rays generated by the ray emission circuit 154, and the incoming power integration circuit of the receiver. 155 each finite area and the summation result taking into account the energy and phase of the ray at the point of impact is sent to the display device 180 .

According to this embodiment, in the process of reradiating the ray from the polygon that the ray collided with, the reflected wave, the diffracted wave, and the scattered wave are generated by different elements. , can be executed by a dedicated routine, and electromagnetic field analysis by ray tracing calculation can be speeded up. In addition, since calculation processing for scattered waves and calculation processing for diffracted waves can be executed independently in the same calculation processing as for reflected waves, the speed of electromagnetic field analysis by ray trace calculation can be further increased. As a result, it is possible to reduce the man-hours and time required to build a wireless communication system within the communication service area, and reduce the cost required to build a wireless communication system.

<Example 9>
Another example of the wireless communication characteristic prediction system according to the present invention will be described with reference to FIG. The ninth embodiment differs from the eighth embodiment in that an electromagnetic field calculator 173 having a polygon table history circuit 168 is used instead of the electromagnetic field calculator 172 of the eighth embodiment. In the ninth embodiment, differences from the eighth embodiment will be mainly described, and the same reference numerals will be given to the same configurations as in the eighth embodiment, and the description thereof will be omitted.

FIG. 9 is a diagram showing the configuration of a wireless communication characteristic prediction system according to the ninth embodiment.

In the electromagnetic field computing device 173 of this embodiment, the polygon table history circuit 168 sequentially stores the contents of the polygon table storage circuit 161. The data is sent to the generation circuit 162 , the secondary ray determination circuit 163 and the polygon display circuit 184 of the display device 180 .

According to this embodiment, past polygon data can be used in the ray trace calculation and polygon display when the spatial arrangement of electromagnetic wave scattering bodies within the communication service area changes. It is possible to evaluate the dynamic variation of the electromagnetic field distribution when it is included, and expand the application of the wireless communication characteristic prediction system of the present invention.

<Example 10>
Another example of the wireless communication characteristic prediction system according to the present invention will be described with reference to FIG. The tenth embodiment differs from the first embodiment in that an electromagnetic field calculator 174 having a received power determination circuit 169 is used instead of the electromagnetic field calculator 150 of the first embodiment. In the tenth embodiment, differences from the first embodiment will be mainly described, and the same reference numerals will be given to the same configurations as in the first embodiment, and the description thereof will be omitted.

FIG. 10 is a diagram showing the configuration of a wireless communication characteristic prediction system according to the tenth embodiment.

In the electromagnetic field calculation device 174 of this embodiment, the repetition condition determination circuit 159 monitors the number of recurrences of the re-radiated ray generation circuit 158, and if the number of recurrences is within a predetermined number of times, the ray is emitted. The operation of the circuit 154 is continued, and the operation of the ray emission circuit 154 is terminated when the number of reoccurrences exceeds the predetermined number. Received power determination circuit 169 checks the ray arrival flags for all reception points of receiver arrival power integration circuit 155, and if there is a reception point for which the flag is not set, changes the content of repetition condition setting circuit 151. A series of processing starting from the transmission point generating circuit 152 is repeated. On the other hand, if flags are set at all receiving points, the electromagnetic field computing device 174 stores the contents of the communication area storage circuit 160, the contents of the polygon table storage circuit 161, and the ray emission circuit 154 generated. Information about all rays and the results of the integration taking into account the energy and phase of the rays at the point of collision with each finite area of the incoming power accumulator circuit 155 is sent to the display device 180 .

According to this embodiment, the processing of the electromagnetic field calculation device 174 can be optimized according to the display resolution of the electromagnetic field distribution, and the electromagnetic field distribution can be displayed with the minimum calculation time for the required resolution of the electromagnetic field distribution. . As a result, it is possible to reduce the man-hours and time required to build a wireless communication system within the communication service area, and reduce the cost required to build a wireless communication system.

<Example 11>
In this embodiment, the wireless communication characteristics prediction system of any of the embodiments described above is used to estimate the electromagnetic field environment within the communication service area, and the engineering by a wireless monitoring system that predicts the communication quality within the same area. will be described with reference to FIG. Since the radio monitoring system can use the radio communication characteristic prediction system of any of the embodiments described above, the description thereof will be omitted.

FIG. 21 is a diagram showing an example of engineering by the IoT wireless monitoring system 1101 using the wireless communication characteristic prediction system of the present invention.

The IoT wireless monitoring system 1101 has multiple fixed structures 1012 and movable structures 1013 inside a building 1011 serving as a communication service area, and multiple wireless communication devices 1021 installed therein. A mobile environment measuring device 1003 having a communication radio 4 and a measurement radio 1 moves inside this building 1011 along a measurement route 1004, and at each point on the measurement route 1004, the measurement radio The machine 1 acquires the coordinates of each point on the surface of the plurality of fixed structures 1012 and the movable structures 1013 serving as electromagnetic wave scattering bodies in the building 1011 serving as a communication service area, The wireless device 4 receives transmission radio waves from the plurality of wireless communication devices 1021 . The spatial positional relationship between the building 1011 and the measurement route 1004 is obtained in advance. The wireless communication characteristics prediction system uses the electromagnetic field strength in the communication service area obtained from the acquired positional relationship and the spatial coordinates of the electromagnetic wave scatterers to obtain information within the communication service area through electromagnetic field analysis using computer resources. The electromagnetic field distribution at each point required in the building 1011 can be estimated as follows.

According to this embodiment, a model for calculating the radio wave environment for electromagnetic waves used by the wireless communication system is generated at the site of the communication service area where the wireless communication system is to be constructed, and various characteristics of the wireless communication system in the same area are generated. can be predicted using this model, it is possible to construct an appropriate wireless communication environment within the communication service area and display various wireless communication performances in the appropriate environment. Therefore, it is possible to reduce the number of personnel and working hours required for radio engineering for building a radio communication system, and to reduce the cost of radio engineering.

<Example 12>
In this embodiment, the wireless communication characteristics prediction system of any of the embodiments described above is used to estimate the electromagnetic field environment within the communication service area, and the engineering by a wireless monitoring system that predicts the communication quality within the same area. Another example of is described with reference to FIG. In the twelfth embodiment, instead of the movable structure 1013, a plurality of moving bodies 1015 serving as electromagnetic wave scattering bodies are present in the building 1011, and the plurality of measuring radios 1 are not the moving environment measuring device 1003. It is different from the eleventh embodiment in that it is fixed and distributed in the building 1011 . In the twelfth embodiment, differences from the eleventh embodiment will be mainly described, and the same reference numerals will be given to the same configurations as in the eleventh embodiment, and the description thereof will be omitted. Further, since any one of the radio communication characteristic prediction systems of the first to tenth embodiments described above can be used for the radio monitoring system, the description thereof will be omitted.

FIG. 22 is a diagram showing an example of engineering by the IoT wireless monitoring system 1101 using the wireless communication characteristic prediction system of the present invention.

The position of the measuring radio 1 within the building 1001 can be acquired in advance. In the twelfth embodiment, as in the eleventh embodiment, the coordinates of each point on the surfaces of the plurality of fixed structures 1012 and the moving body 1015 serving as electromagnetic wave scattering bodies can be obtained. In particular, even when the spatial arrangement of the electromagnetic wave scatterer in the building 1011 changes, the coordinates of each point on the surface of the electromagnetic wave scatterer can be obtained in real time without running the mobile environment measuring device 1003 .

According to this embodiment, even if there is an electromagnetic wave scatterer moving within the communication service area, as in the eleventh embodiment, electromagnetic field analysis using computer resources can be used to determine the building 1011 within the communication service area. Estimate the electromagnetic field distribution at each point required in the wireless communication system. Since this model can be used to predict various characteristics of wireless communication systems within the area, it is possible to construct an appropriate wireless communication environment within the communication service area and display various wireless communication performances in the appropriate environment. Therefore, it is possible to reduce the number of personnel and working hours required for radio engineering for building a radio communication system, and to reduce the cost of radio engineering.

It should be noted that the present invention is not limited to the embodiments described above, but includes various modifications and equivalent configurations within the scope of the appended claims. For example, the above-described embodiments have been described in detail for easy understanding of the present invention, and the present invention is not necessarily limited to those having all the described configurations. Also, part of the configuration of one embodiment may be replaced with the configuration of another embodiment. Moreover, the configuration of another embodiment may be added to the configuration of one embodiment. Further, additions, deletions, and replacements of other configurations may be made to a part of the configuration of each embodiment.

In addition, each configuration, function, processing unit, processing means, etc. described above may be realized by hardware, for example, by designing a part or all of them with an integrated circuit, and the processor realizes each function. It may be realized by software by interpreting and executing a program to execute.

Information such as programs, tables, and files that implement each function can be stored in storage devices such as memories, hard disks, SSDs (Solid State Drives), or recording media such as IC cards, SD cards, and DVDs.

In addition, the control lines and information lines indicate those considered necessary for explanation, and do not necessarily indicate all the control lines and information lines necessary for mounting. In practice, it can be considered that almost all configurations are interconnected.

1 Measurement wireless device 2 Measurement high-frequency signal source 3 Measurement antenna 4 Communication wireless device 5 Communication high-frequency signal source 6 Communication antenna 7 Video data conversion device 8 Cameras 100 to 107 Wireless communication characteristic prediction system 110 Calculation model generation device 111 Point cloud storage circuit 112 Point cloud coordinate generation circuit 113 Point cloud filter circuit 114 Polygon generation circuit 115 Polygon group formation circuit 116 Adjacent polygon joining state data generation circuit 117 Polygon attribute determination circuit 118 Polygon connection circuit 119 Data generation circuit 130 Calculation model generation Device 131 Calculation model generation device 140 Structural data storage device 141 Point group table 142 Communication area data 143 Communication wavelength data 144 Polygon table 145 Electrical property table 146 Structural property data 150 Electromagnetic field calculation device 151 Repetition condition setting circuit 152 Transmission point generation circuit 153 Receiving point generation circuit 154 Ray emission circuit 155 Receiver arrival power integration circuit 156 Polygon collision determination circuit 157 Re-radiated ray selection circuit 158 Re-radiated ray generation circuit 159 Repetition condition determination circuit 160 Communication area storage circuit 161 Polygon table storage circuit 162 Reflected ray Generation circuit 163 Secondary ray determination circuit 164 Secondary ray generation circuit 166 Scattered ray generation circuit 167 Diffraction ray generation circuit 168 Polygon table history circuit 169 Received power determination circuit 170, 171, 172, 173, 174 Electromagnetic field calculation device 176 Secondary Ray provisional generation circuit 177 Polygon collision determination circuit 180 Display device 181 Structure display circuit 182 Ray display circuit 183 Electromagnetic field display circuit 184 Polygon display circuit 190 Structure data storage devices 1001, 1011 Building 1003 Moving environment measurement device 1004 Measurement route 1006 Polygon group generation Processes 1012 and 1013 Structure 1015 Mobile object 1021 Wireless communication device 1101 IoT wireless monitoring system

Claims (13)

A wireless communication characteristic prediction system,
An electromagnetic field calculation device and an output device,
The electromagnetic field computing device has a computing device that executes predetermined processing and a storage device that can be accessed by the computing device,
Iteratively perform ray tracing calculations to estimate the electromagnetic field distribution,
changing the generation state of the reflected wave, the diffracted wave, and the scattered wave in the ray tracing calculation from the acquired position data of the structure within the communication service area;
transmitting the estimated electromagnetic field distribution to the output device;
The wireless communication characteristics prediction system, wherein the output device outputs the estimated electromagnetic field distribution. The wireless communication characteristic prediction system according to claim 1,
a model generation device that calculates dimension information of the structure from point cloud data representing the position of the surface of the structure and the wavelength of radio waves used for communication;
The electromagnetic field calculation device uses the calculated dimension information of the structure to change the generation state of the reflected wave, the diffracted wave, and the scattered wave in the ray trace calculation. The wireless communication characteristic prediction system according to claim 2,
The point cloud data is generated from actual measurement data of the distance to the surface of the structure,
The wireless communication characteristic prediction system, wherein the electromagnetic field calculation device acquires the point cloud data as the position data of the structure. The wireless communication characteristic prediction system according to claim 2,
The model generation device groups polygons generated from the point cloud data according to positional relationships with adjacent polygons,
A wireless communication characteristic prediction system, wherein the electromagnetic field calculation device uses the information of the grouped polygons to determine whether a diffracted wave in the ray trace calculation is generated. The wireless communication characteristic prediction system according to claim 2,
The model generation device groups the polygons generated from the point cloud data according to the positional relationship with adjacent polygons and the communication wavelength,
A wireless communication characteristic prediction system, wherein the electromagnetic field calculation device uses the information of the grouped polygons to determine whether diffracted waves and scattered waves in the ray trace calculation are generated. The wireless communication characteristic prediction system according to claim 2,
Equipped with an electromagnetic field measuring device that measures electromagnetic field strength measured at multiple locations within a communication service area where wireless communication devices are arranged,
The electromagnetic field calculation device calculates the position and direction of the polygon generated from the point cloud data so that the difference between the electromagnetic field distribution in the area obtained by the ray tracing calculation and the measured electromagnetic field intensity is reduced. is changed to re-execute the ray trace calculation. The wireless communication characteristic prediction system according to claim 1,
A measuring device that measures the distance and direction to a point on the surface of the structure using electromagnetic waves,
A wireless communication characteristic prediction system, wherein the frequency of the electromagnetic wave used for communication by the wireless communication device disposed within the communication service area is 1/10 or less than the frequency of the electromagnetic wave used for measurement by the measuring device. . The wireless communication characteristic prediction system according to claim 4 or 5,
The electromagnetic field computing device
storing data in which information on electrical characteristics is added to the generated polygons;
A wireless communication characteristics prediction system, wherein a radiation direction and an initial intensity of a ray re-radiated when a ray collides with a polygon in the ray trace calculation are determined by referring to the information on the electrical characteristics. The wireless communication characteristic prediction system according to claim 1,
The wireless communication, wherein the output device generates display data for displaying the result of electromagnetic field calculation using the polygons in the communication service area and information on the group of polygons used for the electromagnetic field calculation. Trait prediction system. The wireless communication characteristic prediction system according to claim 1,
A mobile measuring device equipped with a measuring device for measuring the distance and direction to a point on the surface of an electromagnetic wave scatterer existing within a communication service area, and an electromagnetic field measuring device for measuring the electromagnetic field intensity at a communication frequency. ,
A wireless communication characteristic prediction system, further comprising: a model generation device that generates polygons representing the structure from data measured by the measurement device; and a structure data storage device that stores data necessary for the ray trace calculation. . An IoT radio monitoring system using the radio communication characteristic prediction system according to claim 10. The wireless communication characteristic prediction system according to claim 1,
a measuring device for measuring the distance and direction to a point on the surface of an electromagnetic wave scatterer existing within a communication service area;
a mobile measuring device equipped with an electromagnetic field measuring device that measures the electromagnetic field strength at a communication frequency;
A wireless communication characteristic prediction system, further comprising: a model generation device that generates polygons representing the structure from data measured by the measurement device; and a structure data storage device that stores data necessary for the ray trace calculation. . An IoT radio monitoring system using the radio communication characteristic prediction system according to claim 12.

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