JP2017003306A - Simulation system, material parameter setting method and material parameter setting device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a simulation system, a material parameter setting method and a material parameter setting device.SOLUTION: A simulation system 100 comprises a sound collecting robot 12 and a first measuring robot 14. The sound collecting robot 12 collects striking sound when a worker strikes each object, and transmits measured sound data associated with a striking position to a central control unit 10. The first measuring robot 14 acquires a three-dimensional shape of each object and transmits it to the central control unit 10 along with an acquisition position. The central control unit 10 estimates a material of each object on the basis of each measured sound data, and creates a three-dimensional environmental map that shows positions and the like. of multiple objects provided in a three-dimensional space, on the basis of the three-dimensional shape of each object and the like. And, the unit creates a material parameter table where a material of each object is associated and a material parameter is set, with respect to a plane surface of each object included in the three-dimensional environmental map.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a simulation system, a material parameter setting method, and a material parameter setting device, and more particularly to a simulation system, a material parameter setting method, and a material parameter setting device that can be used in a space where wireless communication is performed.

  An example of background art is disclosed in Patent Document 1. In this Patent Document 1, an ideal indoor space structure is a combination of building materials applied to construct a real indoor space such as an office, and a commutative material that is equivalent to each other. Absorbers are arranged in a dense surrounding. In addition, a transmitting antenna and a receiving antenna for measuring various radio wave communication characteristics are arranged inside such an ideal indoor space structure, and a desk, a chair, a partition wall, and the like arranged in a real indoor space such as an office Various structures are arranged. In this state, by measuring various radio wave communication characteristics such as radio wave propagation characteristics, it is possible to evaluate the electromagnetic environment of the ideal indoor space determined by the type, material, and location of various structures.

JP 11-231003 [G01R 29/08, H04B 17/00]

  However, in Patent Document 1, when the actual indoor space is wide, it takes a huge amount of money to create the corresponding ideal indoor space. Further, a structure different from the ideal indoor space may be arranged in the real indoor space, and the electromagnetic environment in the real indoor space is likely to be different from the electromagnetic environment in the ideal indoor space.

  Therefore, a main object of the present invention is to provide a novel simulation system, material parameter setting method, and material parameter setting device.

  Another object of the present invention is to provide a simulation system, a material parameter setting method, and a material parameter setting device capable of easily simulating a radio wave environment in space.

  The present invention employs the following configuration in order to solve the above problems. The reference numerals in parentheses, supplementary explanations, and the like indicate the corresponding relationship with the embodiments described in order to help understanding of the present invention, and do not limit the present invention.

  The first invention is a storage unit for storing a three-dimensional shape of a plurality of objects provided in a three-dimensional space and a three-dimensional map indicating the positions of the plurality of objects, and sounds transmitted from the plurality of objects as measurement sounds. A movable sound collector that collects sound, a storage device that stores measurement sound collected by the sound collector and a position related to measurement, and a plurality of materials based on each measurement sound stored by the storage device The estimating means for estimating, the associating means for associating the materials of the plurality of objects estimated by the estimating means with each of the plurality of objects, and the material parameters for each of the plurality of objects whose materials are associated by the associating means It is a simulation system provided with the setting means to set.

  In the first invention, the storage unit (154) of the simulation system (100: reference numerals exemplifying corresponding parts in the embodiment, hereinafter the same) is, for example, a RAM or the like, and includes a plurality of units provided in a three-dimensional space. A three-dimensional map (three-dimensional environment map) indicating the three-dimensional shape of the object and the positions of the plurality of objects is stored. An object includes an object and a component of the object. For example, when the object is a window, the window includes a component such as glass and a window frame. For example, in a three-dimensional space, a plurality of objects such as a floor, a ceiling, a wall, a window, an OA device, a shelf, a locker, a desk, and a chair are provided. The movable sound collecting device (12) is also called, for example, a sound collecting robot, and follows a worker and collects sound transmitted from each of a plurality of objects as measurement sound. A memory | storage means (150, S3) memorize | stores the measurement sound data by which the position (battering position and measurement position) regarding a measurement was linked | related with the collected measurement sound, for example. The estimation means (150, S41), for example, inputs information (mel frequency cepstrum coefficient or reflectance) about each measured sound stored in a discriminant model created by a machine learning technique, so that the material of a plurality of objects is obtained. Is estimated. The association means (150, S43) associates the estimated materials of the plurality of objects with each of the plurality of objects based on, for example, the positions of the plurality of objects and the position relating to the measurement stored together with the measurement sound. And a setting means (150, S45) sets a material parameter to each of the several thing with which the material was matched by reading a material parameter from the database (160) in which the material parameter is memorize | stored, for example.

  According to the first invention, the radio wave environment in the three-dimensional space can be easily simulated by using the three-dimensional map and the set material parameters.

  A second invention is dependent on the first invention, and the sound collecting device includes a map for autonomously moving and a moving mechanism for autonomously moving in a three-dimensional space in a three-dimensional space based on the map. Including.

  In the second invention, for example, the memory (44) of the sound collector stores a plan view of a three-dimensional space or a map for self-position estimation. For example, the processor (40) of the sound collector controls the moving mechanism (52) having two wheels with reference to a plan view or a map for self-position estimation, so that the sound collector is placed in a three-dimensional space. Move autonomously in two dimensions.

  A third invention is dependent on the first invention or the second invention, and a simulation means for simulating a radio wave environment in a three-dimensional space based on a material parameter set in each of a three-dimensional map and a plurality of objects, The apparatus further includes a generating unit that generates information indicating the radio wave environment of the three-dimensional space based on a simulation result by the simulation unit, and an output unit that outputs information indicating the radio wave environment of the three-dimensional space generated by the generating unit.

  In the third invention, the simulation means (150, S63) is, for example, based on a material parameter map created based on a material parameter set for each of a three-dimensional map and a plurality of objects, for example, a three-dimensional ray tracing method. Etc. are used to simulate the radio wave environment in a three-dimensional space. The generation means (150, S79) generates information indicating the radio wave environment of the three-dimensional space based on the simulation result. The output means (150, S81) includes, for example, a display, and outputs (displays) information obtained by superimposing information indicating the radio wave environment on the three-dimensional map.

  According to the third aspect of the invention, since the radio wave environment in the three-dimensional space is output, for example, the administrator of the simulation system can appropriately grasp the radio wave environment in the three-dimensional space. In addition, based on the output radio wave environment, it is possible to consider appropriate arrangement of objects and base stations.

  A fourth invention is dependent on the third invention, and is a movable radio wave intensity measuring device that measures radio wave intensity at a plurality of measurement points in a three-dimensional space. When the estimated value of the radio field intensity based on the simulation result does not match, the simulation unit further includes a changing unit that changes the material parameter set by the setting unit, and the simulation unit changes the three-dimensional state with the material parameter changed by the changing unit. Simulate the radio wave environment in space again.

  In the fourth invention, the movable radio wave intensity measuring device (16) is also referred to as, for example, a second measurement robot, and measures the radio wave intensity of the measurement radio wave transmitted from the transmission node at a plurality of measurement points. The changing means (150, S73) changes the set material parameter when the measured value of the radio wave intensity in the three-dimensional space does not match the estimated value of the radio wave intensity based on the simulation result by the simulation means. Then, the simulation means repeats the simulation of the radio wave environment in the three-dimensional space until, for example, the estimated value of the radio wave intensity and the actually measured value match or substantially match.

  According to the fourth invention, the accuracy of the simulation can be further improved by updating the material parameter using the estimated value and the actual measurement value of the radio field intensity.

  A fifth invention is dependent on the fourth invention, and the generating means has the measured value of the radio wave intensity in the three-dimensional space and the estimated value of the radio wave intensity based on the simulation result by the simulation means match or substantially match, Information indicating the radio wave environment of the three-dimensional space is generated based on the simulation result.

  In the fifth invention, when the actually measured value of the radio field intensity in the three-dimensional space and the estimated value of the radio field intensity based on the simulation result by the simulation unit match or substantially match, the generation unit stores the three-dimensional space based on the simulation result. Information indicating the radio wave environment is generated.

  According to the fifth aspect, since the material parameter is updated many times until the estimated value and the actually measured value match or substantially match, the simulation accuracy can be kept high.

  A sixth invention is dependent on the fourth invention or the fifth invention, and the radio wave intensity measuring device autonomously moves in a three-dimensional space two-dimensionally or three-dimensionally in a three-dimensional space based on a map for autonomous movement and the map Including a moving mechanism.

  In the sixth aspect of the invention, for example, the memory (124) of the radio wave intensity measuring device stores a plan view of a three-dimensional space or a self-position estimation map. For example, the processor (120) of the radio wave intensity measuring device controls the moving mechanism (132) having two wheels with reference to a plan view or a map for self-position estimation, so that the radio wave intensity measuring device becomes a three-dimensional space. It moves autonomously in two dimensions.

  A seventh invention is dependent on the first invention or the sixth invention, and a plurality of objects acquired by a movable three-dimensional shape acquisition device and a three-dimensional shape acquisition device that acquire three-dimensional shapes of a plurality of objects The three-dimensional shape storage means for storing the three-dimensional shape and the acquisition position of the plurality of objects detected by the detection means and the detection means for detecting a plane from the three-dimensional shape of the plurality of objects stored by the three-dimensional shape storage means Based on the plane of the three-dimensional shape and the acquisition position of the three-dimensional shape of the plurality of objects, a three-dimensional map indicating the three-dimensional shape of the plurality of objects provided in the three-dimensional space and the positions of the plurality of objects is created. 3D map creation means is further provided, and the storage unit stores the 3D map created by the 3D map creation means.

  In the seventh invention, the movable three-dimensional shape acquisition device (14) is also referred to as a first measurement robot, for example, and uses a three-dimensional LRF (74) for a plurality of objects provided in a three-dimensional space. Acquire a three-dimensional shape. The three-dimensional shape storage means (150, S7) stores, for example, the acquired three-dimensional shape of a plurality of objects in association with the acquired position when the three-dimensional shape of the object is acquired. The detection means (150, S33) creates, for example, a three-dimensional model from a three-dimensional shape of a plurality of objects, and detects each plane corresponding to each of the plurality of objects from the three-dimensional model. The three-dimensional map creating means (150, S35) creates a three-dimensional map based on the detected planes of the three-dimensional shapes of the plurality of objects and the acquisition positions of the three-dimensional shapes of the plurality of objects. The storage unit stores the three-dimensional map created in this way.

  According to the seventh invention, it is possible to create a three-dimensional map in consideration of a plurality of objects provided in the three-dimensional space. Therefore, the radio wave propagation simulation considers a plurality of objects provided in the three-dimensional space, so that the accuracy of the simulation is improved.

  An eighth invention is according to the seventh invention, wherein the three-dimensional shape acquisition device moves autonomously in a two-dimensional or three-dimensional manner in a three-dimensional space based on a map for autonomous movement and a map. Including mechanism.

  In the eighth invention, for example, the memory (84) of the three-dimensional shape acquisition apparatus stores a plan view of the three-dimensional space or a map for self-position estimation. For example, the processor (80) of the three-dimensional shape acquisition device controls the moving mechanism (90) having two wheels with reference to the plan view or the self-position estimation map, thereby changing the three-dimensional shape acquisition device to the three-dimensional shape. Move autonomously in space in two dimensions.

  A ninth invention is dependent on any one of the first to eighth inventions, and a creation means for creating a material parameter map based on a plurality of objects and material maps in which material parameters are set by the setting means and a three-dimensional map. Is provided.

  In the ninth invention, the creation means (150, S47) indicates the three-dimensional shape of the object associated with the material parameter and the position of the object based on the object and the three-dimensional map for which the material parameter is set, for example. Create a material parameter map.

  A tenth invention is dependent on the first invention or the ninth invention, and includes a hitting sound when hitting a plurality of objects, and the estimating means is based on a hitting sound when hitting each of a plurality of objects. Thus, the materials of a plurality of objects are estimated.

  In the tenth invention, the measurement sound includes, for example, a hitting sound when the worker hits a plurality of objects. Then, the estimation means calculates a coefficient (mel frequency cepstrum coefficient) from data (measurement sound data) corresponding to the hitting sound when hitting each of a plurality of objects, for example, and inputs the coefficient to a discrimination model created in advance. By doing so, the material of the object is estimated.

  According to the tenth invention, for example, the worker can estimate the materials of the plurality of objects only by striking each of the plurality of objects provided in the three-dimensional space in cooperation with the sound collector. For this reason, the trouble of creating the material parameter map is reduced.

  An eleventh invention is according to any one of the first to tenth inventions, wherein the three-dimensional map includes a plane representing a three-dimensional shape of a plurality of objects, and the association means is estimated by the estimation means. The material of the plurality of objects is associated with each of the planes representing the three-dimensional shape of the plurality of objects, and the setting unit is a plane representing the three-dimensional shape of the plurality of objects associated with the material by the association unit. Set material parameters for each.

  In the eleventh aspect, the three-dimensional shape of the object is represented by a plane. For example, in a table in which the name of a plane is recorded, a material is associated with the name of the plane, and a material parameter is set for the name of the plane.

  In a twelfth aspect, a storage unit (154) that stores a three-dimensional shape of a plurality of objects provided in a three-dimensional space and a three-dimensional map indicating the positions of the plurality of objects, and sounds transmitted from each of the plurality of objects A material parameter setting method in a simulation system (100) having a movable sound collecting device (12) that collects sound as measurement sound, wherein the processor (150) of the simulation system collects sound collected by the sound collecting device. A storage step (S3) for storing a position related to sound and measurement, an estimation step (S41) for estimating the material of a plurality of objects based on the respective measurement sounds stored in the storage step, and a plurality of estimation steps estimated by the estimation step An association step (S43) for associating the material of an object with each of the plurality of objects, and an association step Therefore executes setting step of setting the material parameters to each of a plurality of objects made is associated (S45), which is the material parameter setting method.

  In the twelfth invention, similarly to the first invention, the radio wave environment in the three-dimensional space can be easily simulated by using the three-dimensional map and the set material parameters.

  In a thirteenth aspect of the present invention, a storage unit (154) that stores a three-dimensional shape of a plurality of objects provided in a three-dimensional space and a three-dimensional map indicating the positions of the plurality of objects, and sounds transmitted from each of the plurality of objects Storage means (150, S3) for storing the measurement sound based on and the position related to measurement, estimation means (150, S41) for estimating the material of a plurality of objects based on the respective measurement sounds stored by the storage means, estimation means Corresponding means (150, S43) for associating the materials of the plurality of objects estimated by the above with each of the plurality of objects, and material parameters are set for each of the plurality of objects with which the materials are associated by the associating means. It is a material parameter setting apparatus provided with a setting means (150, S45).

  In the thirteenth invention, the radio wave environment in the three-dimensional space can be easily simulated by using the three-dimensional map and the set material parameters.

  According to the present invention, it is possible to easily simulate a radio wave environment in a three-dimensional space.

  The above object, other objects, features, and advantages of the present invention will become more apparent from the following detailed description of embodiments with reference to the drawings.

FIG. 1 is an illustrative view showing one example of a configuration of a simulation system of one embodiment of the present invention. FIG. 2 is an illustrative view showing one example of an appearance of the sound collecting robot shown in FIG. FIG. 3 is a block diagram showing an example of the configuration of the sound collecting robot shown in FIG. FIG. 4 is an illustrative view showing one example of an appearance of the first measuring robot shown in FIG. FIG. 5 is a block diagram showing an example of the configuration of the first measuring robot shown in FIG. FIG. 6 is an illustrative view showing one example of an appearance of the second measuring robot shown in FIG. FIG. 7 is a block diagram showing an example of the configuration of the second measuring robot shown in FIG. FIG. 8 is a block diagram showing an example of the configuration of the central controller shown in FIG. FIG. 9 is an illustrative view showing an example of a three-dimensional space in which the simulation system shown in FIG. 1 is used, and FIG. 9A is an illustrative view showing a part of an actual three-dimensional space. ) Is an illustrative view showing one example of a three-dimensional environment map corresponding to the three-dimensional space shown in FIG. FIG. 10 is an illustrative view showing one example of a self-position estimation map created based on a three-dimensional environment map in a three-dimensional space in which the simulation system shown in FIG. 1 is used. FIG. 11 is an illustrative view showing one example of a configuration of a measurement sound table stored in the memory of the central controller shown in FIG. FIG. 12 is an illustrative view showing one example of a configuration of a material parameter table stored in the memory of the central controller shown in FIG. FIG. 13 is an illustrative view showing an outline of a method of actually measuring the radio field intensity by the second measuring robot shown in FIG. FIG. 14 is an illustrative view showing one example of a radio wave environment information map output by the output device of the central control device shown in FIG. FIG. 15 is an illustrative view showing one example of a path when actually measuring the radio field intensity using a plurality of second measuring robots. FIG. 16 is an illustrative view showing one example of a state in which the radio field intensity is actually measured using a plurality of second measuring robots. FIG. 17 is an illustrative view showing another example of a state in which the field intensity is actually measured using a plurality of second measuring robots, and FIG. 17A shows a state in which the second measuring robot is moved to a predetermined position. FIG. 17B shows a state in which the radio wave intensity is measured by two second measuring robots. 18 is an illustrative view showing one example of a memory map of a memory of the central control unit shown in FIG. FIG. 19 is a flowchart showing an example of the storage process of the processor of the central controller shown in FIG. FIG. 20 is a flowchart showing an example of the map creation process of the processor of the central controller shown in FIG. FIG. 21 is a flowchart showing an example of the radio wave environment visualization process of the processor of the central controller shown in FIG. FIG. 22 is an illustrative view showing one example of an appearance of a speaker robot provided in the simulation system of the second embodiment. FIG. 23 is a block diagram showing an example of the configuration of the speaker robot shown in FIG. FIG. 24 is an illustrative view showing one example of an appearance of the first measuring robot of the second embodiment. FIG. 25 is a block diagram showing an example of the configuration of the first measuring robot of the second embodiment shown in FIG. 26 is an illustrative view showing one example of a state in which measurement sound is collected by the speaker robot shown in FIG. 22 and the first measurement robot of the second embodiment shown in FIG. FIG. 27 is an illustrative view showing one example of a configuration of a measurement sound table of the second embodiment stored in the memory of the central control unit shown in FIG.

<First embodiment>
Referring to FIG. 1, a simulation system 100 according to the present embodiment is used to visualize a radio wave environment in a three-dimensional space such as an office or a house. In the three-dimensional space, a plurality of objects such as a floor, a ceiling, a wall, a window, an OA device, a shelf, a locker, a desk, and a chair are provided. Here, the “thing” includes a thing and a constituent member of the thing. For example, when the thing is a window, the window includes a constituent member such as glass and a window frame.

  In the three-dimensional space, a base station used for wireless communication such as a wireless LAN is provided together with the above-described objects. In addition, the shape of a plurality of objects and the radio wave intensity in the three-dimensional space are measured using a robot described later, and the measurement result is stored in the central control device 10 of the simulation system 100. A base station used in a wireless LAN is sometimes referred to as an access point.

  The simulation system 100 includes a central control device 10, a sound collection robot 12, a first measurement robot 14, and a second measurement robot 16. The sound collection robot 12, the first measurement robot 14, and the second measurement robot 16 perform autonomous behavior according to an operation command instructed by an administrator of the simulation system 100 or the like. However, these robots may be remotely operated by an administrator or the like as necessary.

  The sound collection robot 12 and the first measurement robot 14 perform wireless communication with the central control device 10, and the sound collection robot 12 and the first measurement robot 14 transmit the measurement result to the central control device 10 by wireless communication. The second measuring robot 16 is connected to the central control device 10 by wire as necessary, and the measurement result is transmitted to the central control device 10 by wired communication.

  In this embodiment, the sound transmitted from the object is collected using the sound collecting robot 12, the shape and position of the object are measured using the first measuring robot 14, and the second measuring robot 16 is used. Thus, the radio field intensity in the three-dimensional space is measured. Although detailed description will be given later, the material of a plurality of objects provided in the three-dimensional space is estimated using the measurement sound collected using the sound collection robot 12.

  In the present embodiment, since the central control device 10 simulates the radio wave environment, the central control device 10 may be referred to as a “simulation device”. Further, the sound collecting robot may be referred to as a movable sound collecting device, the first measuring robot 14 may be referred to as a movable three-dimensional shape acquisition device, and the second measuring robot 16 may be movable radio waves. Sometimes called intensity measuring device.

  In addition, “things” provided in a three-dimensional space include not only furniture such as shelves, lockers, desks, and chairs, but also facilities such as ornamental plants and stairs and arts such as paintings.

  FIG. 2 is an illustrative view showing an appearance of the sound collecting robot 12. Referring to FIG. 2, the sound collecting robot 12 includes a two-dimensional LRF 30 mounted at a height of about 0.2 meters, a control device 32 provided near the two-dimensional LRF 30, a height of about 1.0 meter. And a three-dimensional LRF 34 mounted 90 degrees on a microphone and a microphone 36 mounted at a height of about 1.2 meters.

  The two-dimensional LRF 30 is used for estimating the self-position, tracking the worker who hits the object with a hammer, and recognizing the position of the hit object. The two-dimensional LRF 30 irradiates a laser, and measures the distance to the object from the time it takes for the object to reflect and return. For example, the laser emitted from the transmitter is reflected by a rotating mirror, and the front is scanned in a fan shape at a certain angle (for example, 0.5 degrees). Here, as the two-dimensional LRF 30, for example, a laser range finder (model UTM-30LX) manufactured by Hokuyo Electric may be used. When this laser range finder is used, a distance of 8 meters can be measured with an error of about ± 15 millimeters. The two-dimensional LRF 30 is provided behind the sound collecting robot 12 (in the direction opposite to the moving direction), but may be provided behind the sound collecting robot 12 in other embodiments. In another embodiment, an infrared distance sensor, an ultrasonic distance sensor, a millimeter wave radar, or the like can be used instead of the two-dimensional LRF 30.

  The control device 32 is used for controlling the movement of the sound collection robot 12. As the control device 32, for example, a laptop personal computer is used.

  The three-dimensional LRF 34 is used to detect a hammer that strikes an object. The three-dimensional LRF 34 includes a two-dimensional LRF and a motor. For example, the 3D LRF 34 scans the 3D 3D space by changing the scan plane by a predetermined angle each time the plane scan is completed by the 2D LRF. Here, as the three-dimensional LRF 34, for example, a laser lidar unit (model HDL-32e) manufactured by Velodyne can be used. In other embodiments, instead of the three-dimensional LRF 74, Kinect (registered trademark) manufactured by Microsoft (registered trademark), Xtion manufactured by ASUS (registered trademark), and D-IMager manufactured by Panasonic (registered trademark). A distance image sensor such as (registered trademark) or a three-dimensional sensor can also be used.

  The microphone 36 is used to collect a sound transmitted from an object, that is, a hitting sound as a measurement sound when the object is hit with a hammer. Moreover, although the microphone 36 used in the present embodiment is non-directional, in other embodiments, the microphone 36 may have directivity.

  FIG. 3 is a block diagram showing the configuration of the sound collecting robot 12. Referring to FIG. 3, as a mobile robot platform by control device 32, for example, T-frog project i-Cart mini1 can be used and controlled by open source mobile robot travel control software YP-Spur2. Also, ROS3 can be used as middleware, and amcl included in ROS Navigationstack can be used for self-position estimation. As a map for self-position estimation, for example, a two-dimensional occupied grid map with a grid interval of 50 mm created using the ROS gmapping package can be used. These mobile robot platforms are disclosed below.

T-forg project: http://t-frog.com/
YP-Spur: https://openspur.org/
ROS: http://www.ros.org/
For controlling the autonomous movement of the sound collection robot 12, a movement control technique is used to prevent discomfort to surrounding people. This movement control technique is an application of the technique disclosed in Japanese Patent Application Laid-Open No. 2015-45974 filed earlier by the applicant and already published. Since this movement control technique is not an essential content of the present invention, a detailed description is omitted.

  Such a control device 32 includes a processor 40 and the like. The processor 40 is also called a microcomputer or CPU. The processor 40 is connected to a memory 44, a sensor input / output board 46, a voice input / output board 48, a wireless communication board 50, and the like via a bus 42. The processor 40 is connected to a moving mechanism 52, the sensor input / output board 46 is connected to a two-dimensional LRF 30, a three-dimensional LRF 34, and a path measurement sensor 54, and the voice input / output board 48 is connected to a microphone 36. An antenna 56 is connected to the communication board 50.

  The processor 40 governs overall control of the sound collection robot 12. In particular, the processor 40 controls the operation of the sound collecting robot 12 and executes a process for moving following the worker, a process for estimating the position hit by the hammer, and the like.

  The memory 44 includes ROM, RAM, and HDD. In the HDD and ROM, a control program for controlling the operation of the sound collecting robot 12, map data for moving in the three-dimensional space, and the like are stored in advance. The RAM is used as a work memory or a buffer memory for the processor 40.

  The processor 40 also receives signals from the cooperative worker tracking unit, the path measurement sensor 54, and the two-dimensional LRF 30 for following the position of the worker based on the signal from the two-dimensional LRF 30 according to the program stored in the memory 44. A self-position estimation processing unit for estimating the current position of the subject by referring to the map data based on the hitting object recognition unit for detecting the position of the hit object based on the signal from the two-dimensional LRF 30 The sound collection robot 12 plans the position control so as to maintain the positional relationship necessary for performing the cooperative operation with the worker, and the sound collection by driving the moving mechanism 52 according to the plan of the cooperative operation planning unit. Hammer position detection for detecting the position of a hammer based on a signal from a movement control unit for controlling movement of the robot 12 and a three-dimensional LRF 34 A sound hitting detection unit that detects a hitting sound based on a signal from the microphone 36, a hitting position is estimated based on a signal from the hammer position detecting unit at a timing when the hitting sound is detected, and acoustic information of the hitting sound It functions as a striking position estimation unit for associating positions related to measurement (sounding position and measuring position) and storing them in the memory 44 as measurement sound data.

  The sensor input / output board 46 is constituted by a DSP, for example, and takes in a signal from the sensor and gives it to the processor 40. For example, the sensor input / output board 46 receives the result of measuring the distance to surrounding objects, workers, and objects from the two-dimensional LRF 30 and the result of measuring the position of the hammer hitting the object from the three-dimensional LRF 74. The rotation pulse of the wheel which the moving mechanism 52 mentioned later has is input from the path length measurement sensor 54. The sensor input / output board 46 performs predetermined processing on these inputs and then outputs them to the processor 40.

  The voice input / output board 48 is also constituted by a DSP, performs predetermined processing on the hitting sound collected by the microphone 36, and inputs the voice data corresponding to the collected hitting sound to the processor 40.

  The wireless communication board 50 is also configured by a DSP, and transmits the transmission data given from the processor 40 to an external computer such as the central controller 10 via the antenna 56. The wireless communication board 50 receives data via the antenna 56 and supplies the received data to the processor 40. For example, the transmission data includes the self-position of the sound collecting robot 12 and measured sound data. The received data includes commands for remotely operating the sound collection robot 12.

  As the moving mechanism 52, for example, a driving mechanism using two wheels that can operate differentially is used. The moving mechanism 52 operates according to an instruction from the processor 40 and moves the sound collecting robot 12. The path length measurement sensor 54 described above is provided in the moving mechanism 52 so that the rotation pulse of the wheel used in the moving mechanism 52 can be detected. However, the moving mechanism 52 is not limited to such a configuration, and may be another configuration as long as it can move autonomously in the three-dimensional space.

  Such a sound collecting robot 12 follows the operator while referring to a map for self-position estimation, and stores measurement sound data corresponding to the hitting sound when an object is hit. The stored hitting sound data is transmitted to the central controller 10. However, in another embodiment, the sound collecting robot 12 may automatically collect the hitting sound by following the worker without referring to the map. In another embodiment, the administrator or the like may remotely operate the sound collection robot 12 and sound may be collected according to the operation of the administrator or the like, and the sound collection robot 12 may further apply a hammer. It is also possible to collect an impact sound by automatically hitting an object.

  The basic configuration of the first measurement robot 14 and the second measurement robot 16 is substantially the same as that of the sound collection robot 12. Therefore, when the appearance and configuration of the first measurement robot 14 and the second measurement robot 16 are described, the points overlapping with the sound collection robot 12 are omitted for the sake of simplicity.

  FIG. 4 is an illustrative view showing an appearance of the first measuring robot 14. Referring to FIG. 4, the first measurement robot 14 includes a two-dimensional LRF 70 attached at a height of about 0.1 meter, a control device 72 provided near the two-dimensional LRF 70, and a height of about 1.0 meter. It has a three-dimensional LRF 74 attached to the top.

  The three-dimensional LRF 74 is substantially the same as that of the sound collection robot 12, but the first measurement robot 14 is used to acquire the shape and position of an object provided in the three-dimensional space.

  The control device 72 includes a computer having substantially the same configuration as that of the control device 32 of the sound collecting robot 12 housed in the housing. The two-dimensional LRF 70 is substantially the same as the two-dimensional LRF 30 of the sound collecting robot 12.

  FIG. 5 is a block diagram showing the configuration of the first measurement robot 14. Referring to FIG. 5, the mobile robot platform by control device 72 is substantially the same as control device 32. The control device 72 includes a processor 80 called a microcomputer or CPU. A memory 84, a sensor input / output board 86, a wireless communication board 88, and the like are connected to the processor 80 via a bus 82. The processor 80 is connected to the moving mechanism 90, the sensor input / output board 86 is connected to the two-dimensional LRF 70, the three-dimensional LRF 74, and the path length measuring sensor 92, and the wireless communication board 88 is connected to the antenna 94.

  The processor 80 governs overall control of the first measurement robot 14. The memory 84 includes ROM, RAM, and HDD. In the HDD and the ROM, a control program for controlling the operation of the first measurement robot 14 is stored in advance. For example, the control program includes a detection program for detecting the output (sensor information) of each sensor, a communication program for transmitting / receiving necessary data and commands to / from an external computer such as the central controller 10, and the like. included. The RAM is used as a work memory or a buffer memory for the processor 80.

  The sensor input / output board 86 is substantially the same as the sensor input / output board 46 of the sound collecting robot 12. In addition to the input from the two-dimensional LRF 70 and the path length measurement sensor 92 that are substantially the same as those of the sound collection robot 12, the sensor input / output board 86 has a result of acquiring an object in the three-dimensional space and a position in the three-dimensional space. Input from the three-dimensional LRF 74. Further, the processor 80 estimates the self-position by using the outputs of the two-dimensional LRF 70 and the path measurement sensor 92.

  The wireless communication board 88 substantially the same as that of the sound collection robot 12 transmits the transmission data given from the processor 80 to an external computer such as the central control device 10 via the antenna 94. The wireless communication board 88 receives data via the antenna 94 and supplies the received data to the processor 80. For example, the transmission data includes the self-position of the first measurement robot 14, the data of the surrounding three-dimensional shape, the acquisition position where the three-dimensional shape is acquired, and the like. The received data includes commands for remotely operating the sound collection robot 12.

  The moving mechanism 90 is substantially the same as the moving mechanism 52 of the sound collecting robot 12.

  Such a first measurement robot 14 autonomously moves in the three-dimensional space and automatically acquires the three-dimensional shapes of a plurality of objects while referring to a map for self-position estimation. Then, the first measurement robot 14 transmits the three-dimensional shape data and the acquisition position to the central controller 10. However, in other embodiments, an administrator or the like may remotely operate the first measurement robot 14 and acquire a three-dimensional shape of a plurality of objects according to the operation of the administrator or the like.

  FIG. 6 is an illustrative view showing an appearance of the second measuring robot 16. Referring to FIG. 6, the second measuring robot 16 includes a two-dimensional LRF 110 attached at a height of about 0.2 meters, a control device 112 provided near the two-dimensional LRF 110, a height of about 1.1 meters. A three-dimensional LRF 114 attached to the top and a measurement antenna 116 attached to a height of about 1.0 meter.

  The three-dimensional LRF 114 is substantially the same as the three-dimensional LRF 74 included in the first measurement robot 14. However, the three-dimensional LRF 114 is inclined about 45 degrees from the horizontal state with respect to the three-dimensional LRF 74. As a result, the three-dimensional shape of the object that could not be acquired by the three-dimensional LRF 74 of the first measurement robot 14 can be measured by the three-dimensional LRF 114 of the second measurement robot 16. Therefore, the administrator can acquire the three-dimensional shape using the second measuring robot 16 when there is an object that cannot acquire the three-dimensional shape by measurement of the first measuring robot 14.

  The measurement antenna 116 is used for measuring the radio field intensity. The measurement antenna 116 has directivity, and can receive radio waves from a predetermined direction (range) and transmit radio waves in a predetermined direction. However, in other embodiments, the measurement antenna 116 may be non-directional.

  The two-dimensional LRF 110 and the control device 112 are substantially the same as the two-dimensional LRF 30 and the control device 32 of the sound collecting robot 12.

  FIG. 7 is a block diagram showing the configuration of the second measuring robot 16. Referring to FIG. 7, the mobile robot platform by control device 112 is substantially the same as that of the other two robots. The control device 112 also includes a processor 120 called a microcomputer or a CPU, as with other robot control devices. A memory 124, a sensor input / output board 126, a wireless communication board 128, and a control port 130 are connected to the processor 120 via a bus 122. The processor 120 is connected to the moving mechanism 132, the sensor input / output board 126 is connected to the two-dimensional LRF 110, the three-dimensional LRF 114, and the path length measuring sensor 134, and the wireless communication board 128 is connected to the measurement antenna 116. .

  The processor 120 governs overall control of the second measurement robot 16. The memory 124 includes ROM, RAM, and HDD. In the HDD and ROM, a control program for controlling the operation of the second measurement robot 16 is stored in advance. For example, a detection program for detecting the output (sensor information) of each sensor, a communication program for transmitting / receiving necessary data and commands to / from an external computer such as the central control device 10 are stored. The RAM is used as a work memory or a buffer memory for the processor 120.

  The sensor input / output board 126 is substantially the same as that of the first measurement robot 14, and the same sensor is connected thereto. Similarly to the sound collection robot 12, the processor 120 estimates the self-position using the outputs of the two-dimensional LRF 110 and the path length measurement sensor 134.

  The wireless communication board 128 is substantially the same as that of the sound collection robot 12. The wireless communication board 128 receives a measurement radio wave transmitted from a transmission node described later via the measurement antenna 116. The processor 120 associates the radio wave intensity of the measurement radio wave with the reception position, and stores the measured value data 352 in the memory 124. In addition, the wireless communication board 128 may transmit measurement radio waves via the measurement antenna 116.

  When the administrator or the like directly operates the second measurement robot 16, an operation terminal is connected to the control port 130. The operation terminal is a laptop computer, for example, and is connected to the second measuring robot 16 using a wired cable. For example, as shown in FIG. 16 and FIGS. 17A and 17B, which will be described later, the administrator uses the second measurement robot 16 to measure the radio field intensity and uses the second measurement robot 16. Operate directly.

  The second measuring robot 16 can also be connected to the central control device 10 by wire using the control port 130. Then, when the second measuring robot 16 is connected to the central control device 10 by wire, the second measurement robot 16 transmits the measured value data of the radio field intensity to the central control device 10. However, the second measurement robot 16 may wirelessly communicate with the central control device 10 using the wireless communication board 128 and the measurement antenna 116 described above, and transmit actually measured value data to the central control device 10.

  The moving mechanism 132 is substantially the same as that of other robots.

  Such a second measurement robot 16 automatically measures the radio wave intensity while referring to a map for self-position estimation, and transmits the measurement result to the central control device 10 by the method described above. Since the second measuring robot 16 moves autonomously and collects data, the burden on the administrator is reduced.

  The acquisition of the three-dimensional shape by the second measurement robot 16 is substantially the same as the acquisition of the three-dimensional shape by the first measurement robot 14. However, the acquired three-dimensional shape and acquisition position are transmitted to the central control device 10 by means similar to the actual measurement value data.

  FIG. 8 is a block diagram showing the configuration of the central controller 10. Referring to FIG. 8, the central control device 10 includes a processor 150 called a microcomputer or CPU. A memory 154, an output device 156, an input device 158, a material parameter database (DB) 160, a wireless communication board 162, and the like are connected to the processor 150 via a bus 152. In addition, an antenna 164 is connected to the wireless communication board 162.

  The processor 150 manages the overall control of the central controller 10. The memory 154 is also called a storage unit and includes a RAM, an HDD, and the like. In the HDD of the memory 154, a program for controlling the operation of the central control device 10 is stored in advance. The RAM in the memory 154 is used as a work memory or a buffer memory for the processor 150.

  The output device 156 is, for example, a display, and the input device 158 is, for example, a mouse or a keyboard. For example, the administrator can check the state of the central control device 10 using the output device 156 and the input device 158 and the visualized radio wave environment. The administrator also uses the output device 156 and the input device 158 when remotely operating the sound collection robot 12 and the first measurement robot 14.

  The material parameter DB 160 is a database for setting initial values of material parameters for the material of an object. For example, a dielectric constant ε and a magnetic permeability μ are associated with one material. Then, the material parameter DB 160 is referred to when creating a material parameter map to be described later.

  The wireless communication board 162 transmits the transmission data given from the processor 150 to the sound collection robot 12 and the first measurement robot 14 via the antenna 164. Further, the wireless communication board 162 receives data via the antenna 164 and gives the data to the processor 80. For example, the transmission data includes operation commands (commands) for the sound collection robot 12 and the first measurement robot 14. The received data includes the self-position of the sound collection robot 12, the self-position of the first measurement robot 14, the collected sound data, and the surrounding three-dimensional shape.

  Here, in this embodiment, the state of radio wave propagation is visualized as a radio wave environment in a three-dimensional space. Hereinafter, a procedure for visualizing the state of radio wave propagation will be described.

  First, the administrator autonomously moves in the three-dimensional space with respect to the first measuring robot 14 and issues an operation command to acquire the three-dimensional shapes of a plurality of objects provided in the three-dimensional space. When receiving the three-dimensional shape and the acquisition position of the plurality of objects from the first measurement robot 14, the central control device 10 creates three-dimensional spatial information data in which the three-dimensional shape of the plurality of objects and the acquisition position are associated with each other. Store it in its own memory 154. When the first measurement robot 14 finishes acquiring the three-dimensional shapes of a plurality of objects provided in the three-dimensional space, for example, when an operation for creating a three-dimensional environment map is performed, the central control device 10 displays the three-dimensional space information. A three-dimensional model indicating a three-dimensional environment in a three-dimensional space is created based on the data. When a three-dimensional model is created, planes of a plurality of objects such as a floor, a ceiling, a wall, and furniture are detected from the three-dimensional model. Then, a three-dimensional environment map is created by associating the three-dimensional coordinates corresponding to the name and the real space with each of the detected planes of the plurality of objects. Therefore, the three-dimensional environment map data includes plane data indicating the three-dimensional shape of the plurality of objects, and indicates the three-dimensional shape of the plurality of objects provided in the three-dimensional space and the positions of the plurality of objects.

  Since a technique for creating a three-dimensional model from a measurement result of a three-dimensional shape in a three-dimensional space and a technique for detecting a plane from the three-dimensional model are widely known, detailed description here Is omitted.

  FIG. 9A shows a three-dimensional environment at a certain place in the three-dimensional space. As can be seen from the three-dimensional environment shown in FIG. 9A, partitions and lockers are provided on the floor of the three-dimensional space, and boxes are arranged near the walls of the three-dimensional space. Illumination is provided on the ceiling of the three-dimensional space. When a three-dimensional shape is acquired by the first measurement robot 14 in such a three-dimensional space and a plane is detected from the created three-dimensional model, a three-dimensional environment map as shown in FIG. 9B is obtained. That is, referring to the three-dimensional environment map of FIG. 9B, planes corresponding to partitions, lockers, and the like are arranged on the plane corresponding to the floor. Further, a plane corresponding to the box is arranged on the plane corresponding to the wall. The plane corresponding to the ceiling includes the plane corresponding to the illumination.

  In the created three-dimensional environment map, each plane is assigned a name using a number indicating the detected order.

  Thus, a three-dimensional environment map can be created in consideration of a plurality of objects provided in the three-dimensional space. Therefore, the simulation of the radio wave environment considers a plurality of objects such as furniture provided in the three-dimensional space, so that the accuracy of the simulation is improved.

  Further, when such a three-dimensional environment map is cut horizontally at an arbitrary height from the floor surface in a state viewed from the ceiling side in the virtual space, a planar map as shown in FIG. 10 is obtained. I can do it. In this embodiment, a map as shown in FIG. 10 is stored as a self-position estimation map for each robot. Before such a map for self-position estimation is created, each robot autonomously moves in the three-dimensional space based on the plan view data of the three-dimensional space, and after the map for self-position estimation is created, The robot autonomously moves in the three-dimensional space based on the self-position estimation map.

  Next, using the measurement sound collected by the sound collection robot 12, the materials of a plurality of objects provided in the three-dimensional space are estimated. First, the worker strikes each of a plurality of objects with a hammer, and the sound collecting robot 12 collects the sound of the hitting at that time. At this time, the sound collecting robot 12 creates measurement sound data corresponding to each collected sound and transmits it to the central controller 10. When the central control apparatus 10 receives the measurement sound data, the central control apparatus 10 stores the measurement sound data, and associates the measurement position of the measurement sound data, the striking position, and the data name of the measurement sound data, and stores them in the measurement sound table.

  Referring to FIG. 11, the measurement sound table includes a measurement position, a striking position, and a sequence of measurement sounds. Further, the position (Xs, Ys, Zs) where the sound collecting robot 12 picks up the hitting sound is stored in the measurement position column, and the positions (Xa, Ya) where a plurality of objects are hit are respectively stored in the hitting position column. , Za), and the data name (AS) of each measurement sound data is stored in the measurement sound column.

  When the operator finishes hitting the object and, for example, an administrator performs an operation to create a material parameter table (to be described later), the central control device 10 reads out the measurement sound data transmitted from the sound collecting robot 12 and makes a sound hitting. And a Mel Frequency Cepstral Coefficient (MFCC) indicating a spectrum envelope is calculated.

  In the present embodiment, teacher data in which a material is associated with the calculated MFCC is created, and the teacher data is learned by a machine learning method such as SVM (Support vector machine) or GMM (Gaussian Mixture Model), thereby estimating the material. A discriminant model is created in advance. And the estimation result of a material can be obtained by inputting MFCC with which the material is not matched with respect to this discriminant model.

  A specific method for storing (collecting) measured sound data when a plurality of objects are struck using the sound collecting robot 12 is described in Japanese Patent Application No. 2014-177018 filed earlier by the applicant. Therefore, detailed description here is omitted.

  As described above, the worker can estimate the materials of the plurality of objects only by striking each of the plurality of objects provided in the three-dimensional space in cooperation with the sound collecting robot 12. For this reason, the trouble of creating a material parameter map described later is reduced.

  In this way, when a three-dimensional environment map is created and the materials of a plurality of objects are estimated, a material parameter map is created using these. First, a material parameter table is created in order to create material parameter map data.

  Referring to FIG. 12, the material parameter table includes columns of plane name, position, material, and material parameter. In the plane name and position column, the name and position of each plane in the three-dimensional environment map are stored. In the position, coordinates indicating the plane of the object, for example, barycentric coordinates are stored. The estimated material is stored in the material column. At this time, based on the striking position and the plane position of the measurement sound data, the plane of the object in the three-dimensional environment map is associated with the estimated material. Based on the material stored in the material column, the material parameter is read from the material parameter DB 160 and stored in the material parameter column. That is, by using the material parameter table, a material can be associated with a plane representing each of a plurality of objects, and a material parameter can be set.

  In this manner, when data is stored in each column of the material parameter table, material parameter map data including the material parameter table and the three-dimensional environment map is created. Thereby, for example, in the state in which the material parameter map is displayed, the material parameter of each arbitrary plane can be read with reference to the three-dimensional environment map. And based on this material parameter map, it becomes possible to easily simulate the radio wave environment of a three-dimensional space.

  In this embodiment, a three-dimensional ray tracing method is used for radio wave propagation simulation. As an example of software based on the three-dimensional ray tracing method, software called RapLab provided by Structural Planning Laboratory Co., Ltd. (registered trademark) can be used.

  Next, the second measurement robot 16 is used to measure the radio wave environment in the three-dimensional space, that is, the actual value of the radio wave intensity. Referring to FIG. 13, a transmission node for transmitting measurement radio waves is arranged at a predetermined position in the three-dimensional space, a plurality of measurement points are determined in the three-dimensional space, and the radio wave intensity of the measurement radio waves at each measurement point. Is measured. Then, the radio wave intensity and the reception position are associated with each other to obtain actually measured value data.

  The actually measured value of the radio field intensity thus obtained is compared with the estimated value of the radio field intensity based on the simulation result. First, the estimated value of the radio wave intensity based on the simulation result is calculated by using the mathematical formula 1 corresponding to the position when the radio wave intensity is actually measured, that is, the position (xi, yi, zi) of the reception point.

  Next, in order to compare the estimated value of the radio wave intensity with the actually measured value, the difference between the estimated value of the radio wave intensity and the actually measured value is calculated using the mathematical formula shown in Equation 2.

  As can be seen from the above mathematical formula 2, the difference between the estimated value and the actually measured value is calculated by comparing the estimated value and the actually measured value of the radio field intensity at the same reception point.

  Then, the material parameter is updated and the simulation is repeated until the difference between the estimated value of the radio wave intensity and the actually measured value falls within the allowable range. Thus, the accuracy of the simulation can be further improved by updating the material parameter using the estimated value and the actually measured value of the radio wave intensity.

  As a method for updating the material parameter, that is, optimizing the parameter, an optimization algorithm such as a steepest descent method or a sequential quadratic programming method is used. Since this technique is widely known, a detailed description thereof is omitted here.

  Also, when the difference between the estimated value of the radio wave intensity and the actual measurement value falls within the allowable range, radio wave environment information indicating the radio wave environment in the three-dimensional space is created based on the simulation result at that time. That is, in this embodiment, since the material parameter is updated many times until the estimated value of the radio field intensity and the actually measured value match or substantially match, the simulation accuracy can be kept high.

  Thus, when the radio wave environment information is created, the radio wave environment information is visualized. Referring to FIG. 14, for example, a radio wave environment map is created based on a three-dimensional environment map and radio wave environment information, and the radio wave environment map is output (displayed) by output device 156 of central controller 10. For example, a radio wave environment map is obtained by superimposing radio wave environment information on a display of a three-dimensional environment map, and indicates a signal intensity distribution in a three-dimensional space. Since the radio wave environment in the three-dimensional space is visualized in this way, the administrator can appropriately grasp the radio wave environment in the three-dimensional space. Moreover, based on the visualized radio wave environment, appropriate arrangement of objects and base stations can be examined.

  Further, for example, the administrator can find a place where an access point is not installed in spite of showing a strong radio field intensity as a place where an unauthorized access point is installed in the radio wave environment map.

  The radio wave environment information may be visualized using other methods. For example, in another embodiment, an overlay of radio wave environment information may be displayed on a real-time image capturing a three-dimensional environment. In another embodiment, a radio wave environment information superimposed on a two-dimensional map such as a self-position estimation map or a plan view may be displayed. In still another embodiment, the radio wave environment information may be displayed using a head mounted display (HMD). In still another embodiment, an image based on the radio wave environment information may be drawn in real space using projection mapping.

  In another embodiment, the radio wave environment map may be obtained by superimposing the radio wave environment information on the display of the three-dimensional environment map.

  In another embodiment, when the output device 156 of the central controller 10 includes a printer, an image in which radio wave environment information is superimposed on a two-dimensional map such as a self-position estimation map or a plan view is displayed. It may be output from a printer.

  In still another embodiment, when a three-dimensional shape is acquired by the first measurement robot 14, a plurality of first measurement robots 14 may be used to efficiently acquire the three-dimensional shape. For example, referring to FIG. 15, when two first measurement robots 14 are used, regions are divided so that the areas are equal, and the first measurement robot 14 has a three-dimensional shape in each region. May be obtained. Further, the optimum paths of the plurality of first measurement robots 14 may be measured so that the total time required is the shortest. Furthermore, the optimally divided areas based on the multi-agent TSP solution or the like may be operated in parallel by the plurality of first measurement robots 14. The method described above may also be used when the radio field intensity is actually measured by the second measurement robot 16.

  Further, in the present embodiment, for example, when the difference between the estimated value of the radio wave intensity and the actually measured value does not fall within the allowable range even if the simulation is repeated, the material parameter can be obtained by actually measuring.

  Referring to FIG. 16, a second measurement robot 16 a that transmits measurement radio waves and a second measurement robot 16 b that receives measurement radio waves are prepared, and an administrator directly operates by connecting an operation terminal to each. In this state, for example, in a place where the measurement radio wave transmitted from the transmission node shown in FIG. 13 is difficult to reach, the measurement radio wave is transmitted from the second measurement robot 16a, and the measurement radio wave is transmitted from various positions by the second measurement robot 16b. Receive. Thereby, the material parameters of the object provided in the place where the measurement radio wave is difficult to reach, that is, the dielectric constant and the magnetic permeability can be obtained.

  Further, as shown in FIGS. 17A and 17B, the material parameter of a specific object may be measured by the two second measuring robots 16a and 16b described above. For example, when the administrator designates the center of the measurement target, the central control device 10 refers to the self-position estimation map and calculates a place where each robot can move on both sides of the measurement target. Then, the central control device 10 issues an operation command for moving each robot to the calculated position, transmits a measurement radio wave from one of the measurement targets, and receives the measurement radio wave on the other. Thereby, the material parameter of the measurement object can be obtained.

  Note that since the measurement antenna 116 has directivity, the measurement radio wave can be transmitted to the measurement target and the measurement radio wave thus transmitted can be received.

  In another embodiment, the material parameter table stored in the buffer may be stored in the memory 154 as data. In another embodiment, the radio wave environment may be simulated based on the three-dimensional environment map data and the material parameter table instead of the material parameter map. In the above-described embodiment, since the central control device 10 sets material parameters, the central control device 10 may be referred to as a “material parameter setting device”.

  The features of the present embodiment have been outlined above. Hereinafter, the present embodiment will be described in detail using the memory map of the memory 154 of the central controller 10 shown in FIG. 18 and the flowcharts shown in FIGS. 19 to 21.

  FIG. 18 is an illustrative view showing one example of a memory map of the memory 154 of the central controller 10. As shown in FIG. 18, the memory 154 includes a program storage area 302 and a data storage area 304. In the program storage area 302, a robot control program 310 for managing the operation of the sound collection robot 12 and the first measurement robot 14, the sound collection robot 12, and the first measurement robot as programs for operating the central control device 10. 14, a storage program 312 for storing data transmitted by 14, a map creation program 314 for creating a three-dimensional environment map, a self-position estimation map, and a material parameter map, a radio wave environment visualization program 316 for visualizing a radio wave environment, and a radio wave A simulation program 318 for simulating the environment is stored.

  In the data storage area 304, a communication buffer 330, a robot information buffer 332, a material parameter buffer 334, a simulation buffer 336, and the like are provided. The data storage area 304 also includes plan view data 338, measurement sound data 340, measurement sound table 342, 3D spatial information data 344, 3D environment map data 346, self-position estimation map data 348, material parameter map data. 350, actual measurement value data 352, radio wave environment information data 354, and the like are stored.

  In the communication buffer 330, data received from the sound collection robot 12 and the first measurement robot 14 is temporarily stored. The robot information buffer 332 temporarily stores robot information such as the current positions of the sound collection robot 12 and the first measurement robot 14. The material parameter buffer 334 temporarily stores a material parameter table as shown in FIG. 12, for example, when creating a material parameter map. The simulation buffer 336 temporarily stores the result of simulation by the simulation program 318.

  Plan view data 338 is data of a plane map corresponding to the three-dimensional space. The measurement sound data 340 is measurement sound data received from the sound collection robot 12. The measurement sound table 342 is a table having the configuration shown in FIG. 11, and stores a measurement position, a striking position, and a data name corresponding to the measurement sound data 340.

  The three-dimensional spatial information data 344 is obtained by associating the surrounding three-dimensional shape data transmitted from the first measurement robot 14 with the current position (acquisition position) of the first measurement robot 14 when acquired. . The three-dimensional environment map data 346 is map data as shown in FIG. 9B, for example. The self-position estimation map data 348 is map data as shown in FIG. 10, for example. When the self-position estimation map data 348 is created, it is distributed to each robot. The material parameter map data 350 is data including, for example, three-dimensional environment map data 346 and a material parameter table.

  The actual measurement value data 352 is data including the radio wave intensity in the three-dimensional space measured by the second measurement robot 16 and the measurement position at the time of measurement. The radio wave environment information data 354 is information indicating the radio wave environment in the three-dimensional space.

  Although not shown, the data storage area 304 is also provided with a buffer for temporarily storing various calculation results and / or other counters and / or flags necessary for the operation of the central controller 10. .

  The processor 150 of the central control apparatus 10 performs storage processing shown in FIG. 19, map creation processing shown in FIG. 20, radio wave environment visualization processing shown in FIG. 21, and the like under the control of a Linux (registered trademark) -based OS or other OS. Process multiple tasks, including

  FIG. 19 is a flowchart of the storage process. For example, when the central controller 10 is turned on and an execution command for storage processing is issued, the storage processing is executed.

  When the storage process is executed, the processor 150 determines whether or not data has been received from the sound collecting robot 12 in step S1. For example, it is determined whether the measurement sound data transmitted from the sound collection robot 12 is stored in the communication buffer 330. If “YES” in the step S1, that is, if the measurement sound data including the measurement sound and the position related to the measurement is received, the processor 150 stores the measurement sound data in a step S3. That is, the received data is stored in the memory 154 as measurement sound data 340. Therefore, the processor 150 that executes the process of step S3 functions as a storage unit. In addition, when the process of step S3 ends, the processor 150 proceeds to the process of step S9.

  If “NO” in the step S1, that is, if the measurement sound data is not received from the sound collection robot 12, the processor 150 determines whether or not the data is received from the first measurement robot 14 in a step S5. To do. For example, it is determined whether the three-dimensional shape data of the object transmitted from the first measurement robot 14 and the acquisition position when acquired are stored in the communication buffer 330. If “YES” in the step S5, that is, if the above data is received from the first measuring robot 14, the processor 150 stores the three-dimensional spatial information data in a step S7. That is, the data of the three-dimensional shape of the object and the acquisition position when the three-dimensional shape is acquired are associated with each other and stored in the memory 154 as the three-dimensional spatial information data 344. Therefore, the processor 150 that executes the process of step S7 functions as a three-dimensional shape storage unit. In addition, when the process of step S7 ends, the processor 150 proceeds to the process of step S9.

  Note that even if “NO” in the step S5, that is, even if data is not received from the first measuring robot 14, the processor 150 proceeds to the process of the step S9.

  Subsequently, in step S9, the processor 150 determines whether or not the operation is an end operation. That is, it is determined whether or not an operation for terminating the central control device 10 has been performed. If “NO” in the step S9, that is, if the end operation is not performed, the processor 150 returns to the process of the step S1. On the other hand, if “YES” in the step S9, that is, if an end operation is performed, the processor 150 ends the storage process.

  FIG. 20 is a flowchart of the map creation process. For example, when an administrator performs an operation of creating a three-dimensional environment map, a self-position estimation map, and a material parameter map, a map creation process is executed.

  When the map creation process is executed, the processor 150 creates a three-dimensional model in step S31. 3D that indicates the 3D environment of the 3D space based on the 3D shape of the 3D space included in the data and the acquisition position when the 3D shape is acquired. Create a model.

  Subsequently, in step S33, the processor 150 executes plane detection processing. That is, the planes of a plurality of objects such as a floor, a ceiling, a wall, and furniture are detected from the created three-dimensional model. Subsequently, in step S35, the processor 150 creates a three-dimensional environment map based on the detected plane of the object. That is, a three-dimensional environment map is created by associating the detected object plane with the three-dimensional coordinates corresponding to the name and the real space. The created 3D environment map is stored in the memory 154 as 3D environment map data 346. The processor 150 that executes the process of step S33 functions as a detection unit, and the processor 150 that executes the process of step S35 functions as a three-dimensional map creation unit.

  Subsequently, in step S37, the processor 150 creates a self-position estimation map based on the three-dimensional environment map. For example, a 3D environment map is cut horizontally at an arbitrary height from the floor surface when viewed from the ceiling side in the virtual space, and a self-position estimation map is created based on the cross section. . The created map is stored in the memory 154 as self-position estimation map data 348.

  Subsequently, in step S39, the processor 150 stores the detected plane name and three-dimensional position in the material parameter buffer 334. For example, the material parameter buffer 334 stores a material parameter table, and the name and 3D position of each plane included in the 3D environment map data 346 are stored in the material parameter table. Subsequently, in step S41, the processor 150 estimates a material based on the measurement sound data 340. For example, the mel frequency cepstrum coefficient calculated based on the measured sound data 340 is input to the discrimination model created based on the machine learning method described above. The result output from the discrimination model is the material estimation result. The processor 150 that executes the process of step S41 functions as an estimation unit.

  Subsequently, in step S43, the processor 150 associates a material with the detected plane based on the hitting position. That is, the impact position of the impact sound data corresponding to the estimation result is read from the measurement sound table 342 corresponding to the measurement sound data 340, and the corresponding plane is specified based on the position of the plane stored in the material parameter table. In the material parameter table, the estimated material corresponding to the specified plane is stored. The processor 150 that executes the process of step S43 functions as an association unit.

  Subsequently, in step S45, the processor 150 sets initial values of material parameters. That is, the material parameter of the material is read from the material parameter DB 160 based on the material stored in the material parameter table, and the material parameter corresponding to the material is stored in the material parameter table. The processor 150 that executes the process of step S45 functions as a setting unit.

  Subsequently, in step S47, the processor 150 creates a material parameter map. For example, a material parameter table is read from the material parameter buffer 334, and the table corresponding to the 3D environment map data 346 is stored in the memory 154 as the material parameter map data 350. The processor 150 that executes the process of step S47 functions as a creation unit.

  In addition, since a material parameter is set in the map creation process, the map creation process is sometimes referred to as a material parameter setting process.

  FIG. 21 is a flowchart of radio wave environment visualization processing. For example, when the administrator performs an operation to display the radio wave environment information, the radio wave environment visualization process is executed.

  When the radio wave environment visualization process is executed, the processor 150 reads the material parameter map data 350 in step S61. That is, the material parameter map data 350 is read in order to simulate the radio wave environment in the three-dimensional space. A material parameter table included in the material parameter map data 350 is stored in the material parameter buffer 334. Subsequently, in step S63, the processor 150 executes a simulation. That is, the simulation of the radio wave environment is executed based on the read material parameter map data 350. The simulation result is stored in the simulation buffer 336. The processor 150 that executes the process of step S63 functions as a simulation unit.

  Subsequently, in step S65, the processor 150 estimates the radio wave intensity based on the simulation result. In other words, the radio wave intensity is estimated at a position corresponding to the position where the radio wave intensity is actually measured in the material parameter map (three-dimensional environment map) using the mathematical formula of Formula 1. Subsequently, in step S67, the processor 150 reads the actual measurement value data 352. That is, the actually measured value of the radio field intensity measured by the second measuring robot 16 is read from the memory 154. Subsequently, in step S69, the processor 150 calculates a difference between the estimated value of the radio wave intensity and the actually measured value. That is, the difference between the estimated value of the radio wave intensity and the actually measured value is calculated using the mathematical formula of Formula 2.

  Subsequently, in step S71, the processor 150 determines whether or not the calculated difference is within an allowable range. That is, it is determined whether the calculated difference matches or substantially matches. If “NO” in the step S71, that is, if the calculated difference does not coincide or substantially coincides, the material parameter is changed in a step S73. That is, the value of the material parameter in the material parameter table stored in the material parameter buffer 334 is changed so that the difference between the estimated value of the radio wave intensity and the actually measured value becomes small. The processor 150 that executes the process of step S73 functions as a changing unit.

  Subsequently, in step S75, the processor 150 determines whether or not to change based on the actual measurement value. For example, as shown in FIG. 16 or FIGS. 17A and 17B, it is determined whether the administrator has actually measured the material parameter of a specific location. If “NO” in the step S75, the processor 150 returns to the process of the step S63 if, for example, the administrator has not measured the material parameter at an arbitrary place. That is, the simulation is executed again based on the changed material parameter.

  On the other hand, if “YES” in the step S75, for example, if the administrator measures the material parameter at an arbitrary place, the processor 150 changes the material parameter based on the actually measured value in a step S77. That is, the material parameter measured in the state as shown in FIG. 16 or FIGS. 17A and 17B is set in the material parameter table. Then, when the process of step S77 ends, the processor 150 returns to the process of step S63. That is, the simulation is executed again using the material parameter obtained based on the actual measurement.

  On the other hand, if “YES” in the step S71, for example, if the simulation is executed many times and the difference between the estimated value of the radio wave intensity and the actually measured value is coincident or substantially coincident, the processor 150 causes the simulation in the step S79. Radio wave environment information is generated based on the result. That is, information indicating the radio wave environment in the three-dimensional space is created, and the information is stored in the memory 154 as radio wave environment information data 354. Further, the material parameter included in the material parameter map data 350 is updated based on the material parameter table stored in the material parameter buffer 334. That is, the material parameter included in the material parameter map data 350 is updated to the optimum value.

  Subsequently, in step S81, the processor 150 displays the radio wave environment information. For example, a radio wave environment map is created based on the three-dimensional environment map data 346 and the radio wave environment information data 354, and the map is output (visualized) from the output device 156 of the central control device 10. Then, when the process of step S81 ends, the processor 150 ends the radio wave environment visualization process. Further, the processor 150 that executes the process of step S79 functions as a generation unit, and the processor 150 that executes the process of step S81 functions as an output unit.

  In another embodiment, the administrator may be prompted to actually measure the material parameter when the number of times the simulation is repeated or the time the simulation is repeated exceeds a threshold value.

<Second embodiment>
In the second embodiment, instead of the hitting sound, the direct sound of the sound generated in the three-dimensional space and the reflected sound transmitted after the sound is reflected on the object are used as the measurement sound, and the object provided in the three-dimensional space Estimate the material. Therefore, in the second embodiment, a speaker robot is used instead of the sound collecting robot 12, and a first measurement robot 14 having a configuration different from that of the first embodiment is used.

  FIG. 22 is an illustrative view showing an appearance of a speaker robot. Referring to FIG. 22, the speaker robot is attached to a two-dimensional LRF 200 mounted at a height of about 0.2 meters, a control device 202 provided on the lower side of the speaker robot, and a height of about 1 meter. A speaker 204 is included.

  The two-dimensional LRF 200 is used to detect an object such as a human, like other robots. The control device 202 is used for controlling the movement of the speaker robot. The speaker 204 is used for generating sound in a three-dimensional space. The speaker 204 can generate sound in the moving direction of the speaker robot, that is, in the front.

  FIG. 23 is a block diagram showing the configuration of the speaker robot. Referring to FIG. 23, as the mobile robot platform by the control apparatus 202, substantially the same robot robot as that of the first embodiment is used.

  The control device 202 includes a processor 220 and the like. The processor 220 is also called a microcomputer or CPU. In addition, a memory 224, a sensor input / output board 226, an audio input / output board 228, a wireless communication board 230, and the like are connected to the processor 220 via a bus 222. Further, the processor 220 is connected to the moving mechanism 232, the sensor input / output board 226 is connected to the two-dimensional LRF 200 and the path length measurement sensor 234, the audio input / output board 228 is connected to the speaker 204, and the wireless communication board 230 is connected. Is connected to an antenna 236.

  The processor 220 is responsible for overall control of the speaker robot. The memory 224 includes ROM, RAM, and HDD. In the HDD and ROM, a control program for controlling the operation of the speaker robot is stored in advance. For example, the control program includes a detection program for detecting the output (sensor information) of each sensor, a communication program for transmitting / receiving necessary data and commands to / from an external computer such as the central controller 10, and the like. included. The RAM is used as a work memory or a buffer memory for the processor 220.

  The sensor input / output board 226 is configured by a DSP, for example, and takes in a signal from the sensor and gives it to the processor 220. For example, the sensor input / output board 226 receives the measurement results up to surrounding objects from the two-dimensional LRF 200, and the wheel rotation pulse of the moving mechanism 232 is input from the path length measurement sensor 234. The sensor input / output board 226 performs predetermined processing on these inputs, and then outputs them to the processor 220. Note that the processor 220 estimates the self-position using the outputs of the two-dimensional LRF 200 and the path measurement sensor 234.

  The voice input / output board 228 is also configured by a DSP, and outputs a sweep sound according to the TSP signal given from the processor 220 from the speaker 204.

  The wireless communication board 230 is also configured by a DSP, and transmits transmission data given from the processor 220 to an external computer such as the central controller 10 via the antenna 236. The wireless communication board 230 receives data via the antenna 236 and supplies the received data to the processor 220. For example, the transmission data includes the self-position of the speaker robot. The received data includes a command for remotely operating the speaker robot.

  The moving mechanism 232 is substantially the same as each robot in the first embodiment.

  Such a speaker robot generates a sweep sound at an arbitrary position in the three-dimensional space and / or a position designated in advance by an administrator while referring to a map for self-position estimation. The generated sweep sound is collected by the first measurement robot 14 of the second embodiment described later. However, in another embodiment, a sweep sound may be generated by a remote control of a speaker robot by an administrator or the like.

  FIG. 24 is an illustrative view showing an appearance of the first measuring robot 14 of the second embodiment. Referring to FIG. 24, the first measurement robot 14 of the second embodiment further includes a microphone array 74 provided on the upper side of the control device 72 and about 1. It has a three-dimensional LRF 74 attached to a height of 0 meters.

  The microphone array 74 is used for collecting sounds generated by the speaker robot. The microphone array 74 includes a plurality of microphones in order to estimate the sound source direction. The microphone array 74 can be moved in the vertical direction as needed. Therefore, the three-dimensional sound source direction can be estimated based on the sound data collected by such a microphone array 74.

  In another embodiment, the first measurement robot 14 of the second embodiment is further provided with a measurement antenna, and the first measurement robot 14 obtains a three-dimensional shape, collects measurement sound, and measures radio waves. Actual measurement may be performed.

  FIG. 25 is a block diagram showing a configuration of the first measurement robot 14. Referring to FIG. 25, a voice input / output board 270 to which a microphone array 250 is connected is further connected to the processor 80 of the control device 72 of the second embodiment.

  The voice input / output board 270 performs predetermined processing on the sound collected by the microphone array 250 and inputs voice data corresponding to the collected sound to the processor 80.

  Such a first measurement robot 14 acquires a three-dimensional shape of a plurality of objects provided in a three-dimensional space while referring to a map for self-position estimation, and measures a sound generated by the speaker robot. To do. Then, the first measurement robot 14 transmits the measurement result to the central controller 10 together with the acquisition position and the measurement position. However, in another embodiment, an administrator or the like remotely operates the first measurement robot 14, and three-dimensional shapes of a plurality of objects are acquired according to the operation of the administrator or the like, and the sound generated by the speaker robot is measured. May be.

  Next, estimation of the materials of a plurality of objects provided in the three-dimensional space using the speaker robot and the first measurement robot 14 of the second embodiment will be described. The administrator autonomously moves in the three-dimensional space with respect to the speaker robot and the first measurement robot 14 of the second embodiment, and issues an operation command to collect the measurement sound in the three-dimensional space.

  Referring to FIG. 26, in the first measurement robot 14 of the second embodiment, the sound generated by the speaker robot is reflected on the plane of the surrounding object, and the reflected sound transmitted from the object is generated by the speaker robot. The position in the three-dimensional space is determined so that the direct sound can be collected. Then, after the first measurement robot 14 moves to an appropriate position, the speaker robot generates the above-described sweep sound. At this time, the first measurement robot 14 collects each of the direct sound and the reflected sound, and transmits the collected sound as a measurement sound to the central control device 10 together with the measurement position. The central control apparatus 10 stores the received measurement sound, that is, the direct sound and the reflected sound as measurement sound data, and associates the position of the measurement sound (measurement position) with the data name of the measurement sound data, thereby measuring the sound table. To remember.

  Referring to FIG. 27, the measurement sound table of the second embodiment includes a column of measurement positions and measurement sounds. The measurement sound sequence includes a sequence of direct sound and reflected sound. In the measurement sound table, data names (FD, FR) of direct sound and reflected sound are stored in association with measurement positions.

  When the collection of the measurement sound is completed, the central control device 10 first performs a sound source separation process such as a beamformer on each of the direct sound and the reflected sound in order to measure the directivity intensity of the reflected sound. To separate. Next, the ratio of the power value of the direct sound and the reflected sound is obtained for each frequency band, and the reflectance for each frequency band is obtained.

  In this embodiment, teacher data in which a material and a reflectance are associated with each other is created, and the teacher data is learned by a machine learning method such as SVM or GMM, thereby creating a discrimination model for estimating the material. In this embodiment, the estimation result of the material is obtained by inputting the reflectance not associated with the material to the discrimination model.

  Thus, by using the reflected sound and the direct sound, it is possible to easily estimate the material of the object provided in the three-dimensional space. In particular, in this embodiment, by using a speaker robot that generates sound, it is possible to automatically collect data for estimating the material of an object. Is done.

  When the material is estimated in this way, a material parameter map is also created in the second embodiment. In the second embodiment, the estimated material is associated with the plane based on the measurement position. Specifically, the sound source position of the reflected sound with respect to the measurement position is calculated, and the estimated material is associated with the plane of the object based on the calculated sound source position and the three-dimensional position of the plane. The plane name, position, and material parameter are set in the material parameter table in substantially the same procedure as in the first embodiment, and material parameter map data is created as in the first embodiment.

  In another embodiment, the material of an object may be estimated by combining the sound of the first embodiment with the direct sound and the reflected sound of the second embodiment. For example, in another embodiment, the material is basically estimated using direct sound and reflected sound, and when the estimation of the material is not successful, the material can be estimated using the hitting sound.

  In other embodiments, measurement sound collection, three-dimensional shape acquisition, and radio field intensity measurement may be performed by a single robot.

  In the first embodiment, a robot that automatically hits each of a plurality of objects may be used. In this case, as in the second embodiment, data for estimating the material of the object can be automatically collected.

  In addition to offices and houses, radio wave environments can be simulated in various three-dimensional spaces such as school buildings and shopping malls.

  In still another embodiment, the second measuring robot 16 may be provided with a variable directivity antenna. Moreover, an ESPAR antenna etc. can be considered as a variable directivity antenna. Thereby, when performing the cooperative work using the plurality of second measuring robots 16, the material parameters of the objects within a specific range can be easily obtained.

  When a variable directivity antenna is used, it is possible to detect a beacon signal and a data frame of radio waves transmitted from each base station (access point). In this case, based on the detected beacon signal and data frame, the position of the base station is estimated, the amount of power of the transmission output in each base station is estimated, the number of radio channels of each base station is estimated, and each base station It becomes possible to estimate the traffic state of the station. In this case, the radio wave environment information includes the position of the base station, the amount of power of transmission output at each base station, the number of radio channels of each base station, and the traffic state of each base station. Therefore, when the radio wave environment map is displayed, the administrator not only displays the signal intensity distribution in the three-dimensional space, but also the position of the base station, the amount of transmission power at each base station, and the number of radio channels at each base station. In addition, the traffic status of each base station can be grasped together.

  In another embodiment, a material parameter map may be created based on a 3D environment map created by 3D CAD software and a material parameter table.

  In addition, the wireless LAN base station of the present embodiment can transmit signals of 2.4G band and 5G band, and the radio wave environment map switches the radio field intensity of 2.4G band and 5G band, respectively. Can be displayed.

  In addition, in the simulation system 100 according to another embodiment, a radio wave environment such as wireless communication in fifth-generation or later mobile communication may be simulated instead of wireless communication in a wireless LAN.

  In still another embodiment, teacher data in which a material parameter is associated with the MFCC or reflectance calculated from the measurement sound may be created, and a discrimination model for estimating the material parameter may be created.

  In this embodiment, MFCC and reflectance are used as “information about measurement sound” for creating a discrimination model created by a machine learning method and inputting to the discrimination model. In the embodiment, other numerical values may be used.

  In other embodiments, the second measurement robot 16 may be provided with a wireless communication circuit and an antenna for remote operation. In this case, when actually measuring the radio field intensity, the power supply of the wireless communication circuit for remote operation is turned off.

  The sound collecting robot 12, the first measuring robot 14, and the second measuring robot 16 used in the first embodiment, and the speaker robot and the first measuring robot 14 used in the second embodiment are two-dimensional in a three-dimensional space. However, in another embodiment, a moving mechanism that moves three-dimensionally in a three-dimensional space may be provided. Moreover, as a robot provided with a moving mechanism that moves three-dimensionally in three dimensions, for example, a flying drone that moves autonomously, the moving mechanism that moves three-dimensionally in three-dimensional space can hover in the air. Includes a power unit such as a motor (engine) to which a propeller is attached. Note that the sound collecting robot 12 having a moving mechanism for moving three-dimensionally in a three-dimensional space may be referred to as a flying sound collecting device. Similarly, other robots may be referred to as a flight type first measurement device, a flight type second measurement device, and a flight type speaker device.

  In still another embodiment, the three-dimensional environment map may be periodically updated by operating the first measurement robot 14 periodically (for example, every day).

  The plurality of programs described in the present embodiment may be stored in the HDD of the data distribution server and distributed to the central control device of the system having the same configuration as that of the present embodiment via the network. In addition, storage programs such as CDs, DVDs, and BDs (Blu-ray (registered trademark) Disc) are sold or distributed with these programs stored in storage media such as USB memory and memory card. May be. When the plurality of programs downloaded through the server or storage medium described above are applied to the central control device of the system having the same configuration as that of the present embodiment, the same effect as that of the present embodiment can be obtained.

  The specific numerical values given in this specification are merely examples, and can be appropriately changed according to a change in product specifications.

DESCRIPTION OF SYMBOLS 10 ... Central controller 12 ... Sound collecting robot 14 ... 1st measuring robot 16 ... 2nd measuring robot 100 ... Simulation system 150 ... Processor 154 ... Memory 156 ... Output device 160 ... Material parameter database

Claims (13)

A storage unit for storing a three-dimensional map indicating a three-dimensional shape of a plurality of objects provided in a three-dimensional space and positions of the plurality of objects;
A movable sound collector that collects sound transmitted from each of the plurality of objects as measurement sound,
Storage means for storing a measurement sound collected by the sound collection device and a position relating to measurement;
Estimating means for estimating the material of the plurality of objects based on each measurement sound stored by the storage means;
Corresponding means for associating the materials of the plurality of objects estimated by the estimating means with each of the plurality of objects, and setting material parameters for each of the plurality of objects associated with the materials by the associating means A simulation system comprising setting means for performing.   The simulation system according to claim 1, wherein the sound collecting device includes a map for autonomously moving and a moving mechanism for autonomously moving the three-dimensional space two-dimensionally or three-dimensionally based on the map. Simulation means for simulating the radio wave environment of the three-dimensional space based on the three-dimensional map and material parameters set for each of the plurality of objects;
Generation means for generating information indicating the radio wave environment of the three-dimensional space based on a simulation result by the simulation means; and output means for outputting information indicating the radio wave environment of the three-dimensional space generated by the generation means. The simulation system according to claim 1, further comprising: A movable radio field intensity measuring device for measuring radio field intensity at a plurality of measurement points in the three-dimensional space;
When the measured value of the radio wave intensity in the three-dimensional space and the estimated value of the radio wave intensity based on the simulation result by the simulation unit do not match, the change unit further changes the material parameter set by the setting unit,
The simulation system according to claim 3, wherein the simulation unit simulates the radio wave environment of the three-dimensional space again in a state where the material parameter is changed by the changing unit.   When the measured value of the radio wave intensity in the three-dimensional space and the estimated value of the radio wave intensity based on the simulation result by the simulation unit match or substantially match, the generating unit matches the three-dimensional space based on the simulation result. The simulation system according to claim 4, which generates information indicating a radio wave environment of the computer.   The simulation according to claim 4 or 5, wherein the radio wave intensity measuring device includes a map for autonomous movement and a moving mechanism for autonomously moving the three-dimensional space two-dimensionally or three-dimensionally based on the map. system. A movable three-dimensional shape acquisition device for acquiring a three-dimensional shape of the plurality of objects;
3D shape storage means for storing 3D shapes and acquisition positions of a plurality of objects acquired by the 3D shape acquisition device;
Detection means for detecting a plane from the three-dimensional shape of the plurality of objects stored by the three-dimensional shape storage means, and a plane of the three-dimensional shape of the plurality of objects detected by the detection means, and three-dimensional of the plurality of objects 3D map creation means for creating a 3D map showing the 3D shape of the plurality of objects provided in the 3D space and the position of the plurality of objects based on the acquisition position of the shape;
The simulation system according to claim 1, wherein the storage unit stores a three-dimensional map created by the three-dimensional map creating unit.   The simulation system according to claim 7, wherein the three-dimensional shape acquisition device includes a map for autonomously moving and a moving mechanism for autonomously moving the three-dimensional space two-dimensionally or three-dimensionally based on the map. .   The simulation system according to any one of claims 1 to 8, further comprising a creation unit that creates a material parameter map based on the plurality of objects whose material parameters are set by the setting unit and the three-dimensional map. The measurement sound includes a hitting sound when hitting each of the plurality of objects,
The simulation system according to claim 1, wherein the estimation unit estimates a material of the plurality of objects based on a hitting sound when the plurality of objects are struck. The three-dimensional map includes a plane representing a three-dimensional shape of the plurality of objects,
The association unit associates the materials of the plurality of objects estimated by the estimation unit with each of planes representing the three-dimensional shape of the plurality of objects,
The simulation system according to any one of claims 1 to 10, wherein the setting unit sets a material parameter for each of the planes representing the three-dimensional shapes of the plurality of objects associated with the material by the association unit. A storage unit that stores a three-dimensional shape of a plurality of objects provided in a three-dimensional space and a three-dimensional map indicating the positions of the plurality of objects, and a movable that collects sound transmitted from each of the plurality of objects as measurement sound A material parameter setting method in a simulation system having a sound collecting device, wherein the processor of the simulation system comprises:
A storage step of storing a measurement sound collected by the sound collection device and a position relating to measurement;
An estimation step of estimating the material of the plurality of objects based on the respective measurement sounds stored in the storage step;
Associating the materials of the plurality of objects estimated by the estimating step with each of the plurality of objects, and setting material parameters for each of the plurality of objects associated with the materials by the associating step A material parameter setting method for executing a setting step. A storage unit for storing a three-dimensional map indicating a three-dimensional shape of a plurality of objects provided in a three-dimensional space and positions of the plurality of objects;
Storage means for storing a measurement sound based on a sound transmitted from each of the plurality of objects and a position related to the measurement;
Estimating means for estimating the material of the plurality of objects based on each measurement sound stored by the storage means;
Corresponding means for associating the materials of the plurality of objects estimated by the estimating means with each of the plurality of objects, and setting material parameters for each of the plurality of objects associated with the materials by the associating means A material parameter setting device comprising setting means for