Lighting control simulating device and lighting control simulating method

Abstract

An illumination control simulation device (10) comprises a processing unit (12) that receives input of road map data which indicates a planned installation location of an illumination apparatus and a peripheral region, pedestrian data which indicates an attribute of a pedestrian, illumination apparatus specification data which indicates specifications pertaining to emission by an illumination apparatus to be installed at the planned installation location, and illumination emission pattern data which indicates a plurality of emission patterns of light emitted from the illumination apparatus, that virtually sets a location where the illumination apparatus is to be installed on the road map data, and that uses the illumination apparatus specification data and / or the illumination emission pattern data to acquire a simulation result of predicting how a pedestrian flow will change at the planned installation location and in the peripheral region.

Description

[Technical Field]

[0001] The present disclosure relates to a lighting control simulating device and a lighting control simulating method. [Background technology]

[0002] Patent Document 1 discloses an intra-regional mutual assistance patrol support device that determines routes for multiple patrol members to patrol multiple assigned patrol destinations.

[0003] Patent document 2 discloses an information provision method in which, based on the attribute information of each of a plurality of moving subjects, moving subjects that are presumed to have a relationship with each other are grouped together, and for each group, information is provided to each moving subject belonging to the group that will influence the destination of the moving subject.

[0004] Patent document 3 discloses a guidance system that includes a first output device that is placed at a predetermined location and outputs content, a first measurement device that measures people flow data that indicates the dynamic information of people moving around the first output device, and a control device that receives the people flow data measured by the first measurement device, calculates a coefficient for the people flow data based on the content, and selects content based on the coefficient or stops the output of the content so that the people flow data falls within a predetermined range.

[0005] Non-Patent Document 1 discloses that a pedestrian behavior model is constructed by constructing a model that describes the macroscopic movement path of a pedestrian, then incorporating an existing walking model that accounts for the sense of pressure from physical elements such as pillars and walls, and integrating the two models. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Japanese Patent Application Publication No. 2018-112929 [Patent Document 2] Japanese Patent Application Publication No. 2020-154458 [Patent Document 3] Japanese Patent Application Publication No. 2019-35992 [Non-patent literature]

[0007] [Non-Patent Document 1] Estimation and Verification of Pedestrian Behavior Models Using High-Precision Trajectory Data from Laser Sensors, Toshiyasu Osaragi, Arisa Homma, Hiroyuki Kaneko, Journal of Architecture and Planning, Architectural Institute of Japan, Vol. 84, No. 763, pp. 1883-1891, September 2019, DOI https: / / doi.org / 10.3130 / aija.84.1883 Summary of the Invention [Problem to be solved by the invention]

[0008] However, the conventional Patent Documents 1 to 3 and Non-Patent Document 1 have a problem in that they do not take any measures to simulate the effects that can be expected when introducing lighting fixtures.

[0009] Therefore, the present disclosure aims to provide a lighting control simulation device and a lighting control simulation method that can simulate in advance the effects that can be expected when introducing lighting equipment that can perform affordance lighting. [Means for solving the problem]

[0010] One aspect of a lighting control simulator according to the present disclosure is a lighting control simulator that simulates the effect of a lighting fixture on pedestrians depending on the conditions of a location where the lighting fixture is planned to be installed and the surrounding area of ​​the planned installation location, and includes a processing unit that receives as input road map data representing the location where the lighting fixture is planned to be installed and the surrounding area, pedestrian data representing attributes of the pedestrians, lighting fixture specification data representing specifications related to the illumination of the lighting fixture planned to be installed at the planned installation location, and lighting illumination pattern data representing a plurality of illumination patterns for emitting light from the lighting fixture, virtually sets where the lighting fixture will be installed on the road map data, and obtains simulation results that predict how the flow of pedestrians will change at the planned installation location and the surrounding area by using the lighting fixture specification data and / or the lighting illumination pattern data.

[0011] Furthermore, one aspect of the lighting control simulation method according to the present disclosure is a lighting control simulation method that simulates the effect of a lighting fixture on pedestrians depending on the conditions of a location where the lighting fixture is planned to be installed and the surrounding area of ​​the planned installation location, the method including inputting road map data representing the location where the lighting fixture is planned to be installed and the surrounding area, pedestrian data representing attributes of the pedestrians, lighting fixture specification data representing specifications related to the illumination of the lighting fixture planned to be installed at the planned installation location, and lighting illumination pattern data representing a plurality of illumination patterns for emitting light from the lighting fixture, virtually setting where the lighting fixture will be installed on the road map data, and obtaining simulation results that predict how the flow of pedestrians will change at the planned installation location and the surrounding area by using the lighting fixture specification data and / or the lighting illumination pattern data. [Effects of the Invention]

[0012] According to the present disclosure, it is possible to simulate in advance the effects that can be expected when a lighting fixture capable of implementing affordance lighting is introduced. [Brief explanation of the drawings]

[0013] [Figure 1] FIG. 1 is a block diagram showing a lighting simulation system according to an embodiment. [Figure 2] FIG. 2 is a diagram showing various data. [Figure 3] FIG. 3 is a diagram showing the results of the simulation. [Figure 4] FIG. 4 is a flowchart showing an example of the operation of the lighting control simulator according to the embodiment. [Figure 5] FIG. 5 is a block diagram showing a lighting simulation system according to a modified example of the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0014] The embodiments described below are all comprehensive or specific examples. The numerical values, shapes, materials, components, component placement and connection configurations, steps, and step order shown in the following embodiments are merely examples and are not intended to limit the present disclosure. Furthermore, among the components in the following embodiments, components not described in independent claims are described as optional components.

[0015] In addition, each drawing is a schematic diagram and is not necessarily an exact illustration. In addition, the same components are denoted by the same reference numerals in each drawing.

[0016] Hereinafter, the embodiments will be specifically described with reference to the drawings.

[0017] (Embodiment) <Summary> For example, by implementing affordance lighting by placing multiple lighting fixtures in a passageway, plaza, facility, etc. and adjusting the lighting mode of the light emitted from the lighting fixtures, it is possible to expect the following effects: guiding pedestrians in a predetermined direction, gathering guided pedestrians in a predetermined area, or guiding pedestrians gathered in a predetermined area to disperse. For example, the savanna effect is known, which states that pedestrians are guided to areas with brighter vertical illuminance than areas with darker vertical illuminance. Since affordance lighting mainly illuminates the ground, it is strictly different from the savanna effect, which is related to vertical illuminance. However, by changing the control state of a predetermined illumination pattern of light in order to achieve an effect similar to the savanna effect and influencing pedestrians' emotions through the savanna effect, it is possible to guide pedestrians.

[0018] Here, the illumination pattern refers to a scene in which affordance lighting is implemented, which is different from a scene in which the lighting is simply always on. An illumination pattern in which affordance lighting is implemented is realized, for example, by a dynamic control signal that repeatedly increases and decreases the light output. Changing the control state of the illumination pattern refers to executing affordance lighting from a scene in which the lighting is simply always on or off, executing a different affordance lighting from affordance lighting, or returning to a scene in which the lighting is simply always on or off. Increasing or decreasing the light output includes increasing or decreasing the luminous intensity and illuminance of light emitted by lighting fixtures, increasing or decreasing the luminous intensity and illuminance of light irradiated onto an irradiated surface, changing the color temperature or chromaticity of light emitted by lighting fixtures, and changing the color temperature or chromaticity of light irradiated onto an irradiated surface. An example of affordance lighting is lighting in which multiple lighting fixtures are arranged along a corridor, and the illuminance and chromaticity of the light irradiated onto an irradiated surface (light-irradiated area) gradually change from one side of the corridor to the other or from the other side to one side of the corridor.

[0019] <Configuration and Functions> A lighting simulation system 1 having a lighting control simulator 10 according to the following embodiment will be described with reference to FIGS. 1 to 3. FIG.

[0020] Fig. 1 is a block diagram showing a lighting simulation system 1 according to an embodiment. Fig. 2 is a diagram showing various data. Fig. 3 is a diagram showing the results of a simulation. In Fig. 3, pedestrians are indicated by black or white circles, and pedestrian flow is indicated by dashed or dashed lines.

[0021] As shown in Fig. 1, the lighting simulation system 1 of this embodiment is a system that simulates how the flow of pedestrians changes by virtually providing affordance lighting that can guide pedestrians (people) by adjusting the lighting mode of light emitted from lighting fixtures. The lighting simulation system 1 is, for example, a PC (Personal Computer) equipped with a display unit 20 such as a liquid crystal display and an input unit 5 such as a keyboard, or a dedicated tablet terminal.

[0022] Such a lighting simulation system 1 executes a simulation of a location where it is desired to guide people, such as a store, a park, an amusement park, a station, or a large-scale facility.

[0023] The lighting simulation system 1 includes an input unit 5, a lighting control simulator 10, and a display unit 20.

[0024] [Input section 5] The input unit 5 is an input interface such as a keyboard or a pointing device that can input various data to the lighting control simulator 10. The various data include at least road map data shown in Fig. 1, and pedestrian data, lighting fixture specification data, and lighting irradiation pattern data as shown in Fig. 2(a) to (e). Furthermore, the various data may include pedestrian traffic frequency data and vehicle traffic frequency data.

[0025] The road map data represents the planned installation locations of lighting fixtures and the surrounding areas of the planned installation locations. Virtual lighting fixtures can be placed in the road map data and superimposed on the road map data. Since the road map data indicates location information such as latitude and longitude, when virtual lighting fixtures are placed on the road map data, the placed location information can be linked to the virtual lighting fixtures.

[0026] The pedestrian data represents the attributes of the pedestrian. The pedestrian attributes include the pedestrian's gender, age, occupation, etc. For example, the pedestrian attributes may be a student going to or from school, an office worker commuting to work, shopping, taking a walk, a delivery person, a police officer on patrol, etc.

[0027] In addition to pedestrian data, the various data may include moving vehicle attribute data. The moving vehicle attribute data represents attributes of a moving vehicle. The moving vehicle attributes include the vehicle type, vehicle form, etc. For example, the moving vehicle attributes include bus, private car, taxi, commercial delivery vehicle, ambulance, police car, fire engine, etc.

[0028] The lighting fixture specification data indicates specifications related to the illumination of the lighting fixture to be installed at the planned installation location, including the color temperature, installation position, product number, etc. of the lighting fixture.

[0029] The lighting irradiation pattern data represents multiple irradiation patterns for emitting light from a lighting fixture. The irradiation pattern is composed of a combination of settings for the illuminance of the irradiation point when the lighting fixture shines light on the illuminated surface, whether the light emitted by the lighting fixture blinks, the time interval for blinking, the light color of the lighting fixture, whether the irradiation point is fixed or moving, and if the irradiation point is moving, whether the irradiation position range and movement speed are fixed or variable. In addition, the lighting fixture to be used can be specified when setting the irradiation pattern. Therefore, the lighting irradiation pattern data also includes the lighting fixture to be used.

[0030] The pedestrian traffic frequency data indicates time periods when the pedestrian traffic frequency (traffic volume) is higher than a reference value. For example, the pedestrian traffic frequency data indicates the pedestrian traffic frequency for each time period when the traffic frequency at a specified point is higher than a reference value, and may include only time periods with a traffic frequency equal to or higher than the reference value. The reference value is a preset value and can be changed as desired.

[0031] The vehicle traffic frequency data represents time periods when the frequency of vehicle traffic (traffic volume) other than pedestrians is higher than a reference value. For example, the vehicle traffic frequency data represents the frequency of vehicle traffic for each time period when the traffic frequency at a specified point is higher than a reference value, and may include only time periods with a traffic frequency equal to or higher than the reference value. The reference value is a preset value and can be changed as desired.

[0032] It should be noted that pedestrian traffic frequency data and vehicle traffic frequency data may or may not be input to the input unit 5.

[0033] As shown in FIG. 1, the input unit 5 outputs various input data to the lighting control simulator 10.

[0034] [Lighting control simulator 10] The lighting control simulator 10 acquires various data from the input unit 5. The lighting control simulator 10 stores the acquired various data in the corresponding first to sixth storage units 11a to 11f.

[0035] The lighting control simulator 10 simulates the effect of a lighting fixture on pedestrians according to the planned installation location of the lighting fixture and the situation (various data) of the surrounding area of ​​the planned installation location. For example, the lighting control simulator 10 simulates the effect of a lighting fixture on pedestrians by placing a virtual lighting fixture capable of performing affordance lighting at the planned installation location on road map data, or by inputting various data such as the planned installation location and the situation of the surrounding area of ​​the planned installation location.

[0036] Specifically, the lighting control simulator 10 includes a first storage unit 11a to a sixth storage unit 11f, and a processing unit 12.

[0037] 1 and 2, the first storage unit 11a stores road map data. When new road map data is acquired, the first storage unit 11a can update and store the road map data.

[0038] The second storage unit 11b stores pedestrian data for each of a plurality of pedestrians. When new pedestrian data is acquired, the second storage unit 11b can update and store the pedestrian data.

[0039] The third storage unit 11c stores the lighting fixture specification data for each of the lighting fixtures. When the lighting fixture specification data is acquired, the third storage unit 11c can update the lighting fixture specification data.

[0040] The fourth storage unit 11d stores illumination irradiation pattern data. When illumination irradiation pattern data is acquired, the fourth storage unit 11d can update and store the illumination irradiation pattern data.

[0041] The fifth storage unit 11e stores pedestrian traffic frequency pattern data. When the pedestrian traffic frequency pattern data is acquired, the fifth storage unit 11e can update and store the pedestrian traffic frequency pattern data.

[0042] The sixth storage unit 11f stores vehicle traffic frequency pattern data. When the vehicle traffic frequency pattern data is acquired, the sixth storage unit 11f can update and store the vehicle traffic frequency pattern data.

[0043] The first storage unit 11a to the sixth storage unit 11f may be integrated into one storage unit.

[0044] Furthermore, various data in first memory unit 11a to sixth memory unit 11f are updated by input from input unit 5. At least road map data, pedestrian data, lighting device specification data, and lighting irradiation pattern data can be updated by periodically or temporarily (manually) downloading them from a predetermined external device 9. Furthermore, various data in fifth memory unit 11e and sixth memory unit 11f can be updated by periodically or temporarily downloading them from a predetermined external device 9.

[0045] The processing unit 12 can acquire the results of a simulation that predicts how the flow of pedestrians will change in the planned installation location and the surrounding area.

[0046] Specifically, the processing unit 12 virtually sets where on the road map data the lighting fixtures will be installed based on the various data input to the input unit 5. After virtually setting where on the road map data the lighting fixtures will be installed, the processing unit 12 uses at least the lighting fixture specification data and / or the lighting irradiation pattern data to obtain the results of a simulation that predicts how the flow of pedestrians will change at the planned installation location and in the surrounding area.

[0047] For example, after virtually setting the locations on road map data for installing lighting fixtures, the processing unit 12 executes a simulation using an artificial intelligence simulation algorithm based on at least the position information of the virtually installed lighting fixtures, lighting fixture specification data, and / or lighting irradiation pattern data to predict how pedestrian flow will change at the planned installation location and the surrounding area, and obtains the simulation results. The artificial intelligence simulation algorithm may be a learning model obtained by machine learning of past sample data. The past sample data may be training data that has learned changes in pedestrian flow based on at least the virtual installation locations of the lighting fixtures and the lighting fixture specification data and / or lighting irradiation pattern data. The artificial intelligence simulation algorithm may be trained using one or more known statistical classification techniques. Furthermore, the processing unit 12 may update the simulation algorithm by receiving feedback from the simulation results.

[0048] Furthermore, when pedestrian traffic frequency data and vehicle traffic frequency data are further input as various data from the input unit 5, the processing unit 12 may acquire the results of a simulation that predicts how pedestrian flow will change at the planned installation location and the surrounding area. In this case, once the processing unit 12 has virtually set where on the road map data to install the lighting fixture, it may use an artificial intelligence simulation algorithm to execute a simulation that predicts how pedestrian flow will change at the planned installation location and the surrounding area based on the lighting fixture specification data and / or lighting irradiation pattern data, the pedestrian traffic frequency data, and the vehicle traffic frequency data, and acquire the results of the simulation.

[0049] Then, the processing unit 12 outputs the acquired simulation results to the display unit 20.

[0050] The processing unit 12 also acquires a simulation result of what proportion of a plurality of pedestrians can be guided when the irradiation pattern is executed, compared to the movement of pedestrians when the irradiation pattern is not executed. That is, the processing unit 12 acquires both the result of a simulation predicting how the flow of pedestrians will change (hereinafter referred to as a first simulation result) and the result of a simulation of what proportion of a plurality of pedestrians can be guided (hereinafter referred to as a second simulation result). The processing unit 12 outputs these two simulation results to the display unit 20.

[0051] Furthermore, the processing unit 12 may cause the display unit 20 to display an image that graphs the number of customers in a store before and after the introduction of a lighting device capable of implementing affordance lighting, as shown in Fig. 3. Furthermore, the processing unit 12 may cause the display unit 20 to display, as a result of the simulation, the change in the flow of pedestrians before the introduction of affordance lighting and the change in the flow of pedestrians after the introduction of affordance lighting.

[0052] [Display section 20] 1 and 3, the display unit 20 is a display such as a liquid crystal display or an organic EL (Electro Luminescence) display. The display unit 20 acquires the results of the simulation from the processing unit 12. When the display unit 20 acquires a first simulation result, it displays the first simulation result. When the display unit 20 acquires a second simulation result, it displays the second simulation result. When the display unit 20 acquires both the first simulation result and the second simulation result, it may display the first simulation result and the second simulation result in combination.

[0053] <Processing operation> The processing operations of the lighting control simulating device 10 and the lighting control simulating method according to this embodiment will be described.

[0054] (Example of operation) This operation example will be described with reference to Fig. 4. Fig. 4 is a flowchart showing an operation example of the lighting control simulator 10 according to the embodiment.

[0055] 4, first, the lighting simulation system 1 is started up and a simulation program of the lighting simulation system 1 is executed, whereby a user interface that allows various data to be input is displayed on the display unit 20.

[0056] Various data are input to the input unit 5 (S11). That is, the input unit 5 receives at least road map data, pedestrian data, lighting fixture specification data, and lighting irradiation pattern data as the various data. The input unit 5 may further receive pedestrian traffic frequency data and vehicle traffic frequency data as the various data. The input unit 5 outputs the input various data to the lighting control simulator 10.

[0057] Next, the worker uses the input unit 5 to virtually place the lighting fixtures on the road map data displayed on the display unit 20. As a result, the processing unit 12 virtually sets where on the road map data the lighting fixtures should be installed, based on the various data input to the input unit 5 and the virtual placement of the lighting fixtures on the road map data (S12).

[0058] Next, after virtually setting where on the road map data the lighting fixtures will be installed, the processing unit 12 uses at least the lighting fixture specification data and / or the lighting irradiation pattern data to obtain a simulation result predicting how the flow of pedestrians will change at the planned installation location and the surrounding area (S13). For example, the processing unit 12 uses an artificial intelligence simulation algorithm based on the position information of the lighting fixtures virtually installed on the road map data and the lighting fixture specification data and / or the lighting irradiation pattern data to execute a simulation predicting how the flow of pedestrians will change at the planned installation location and the surrounding area, and obtains the simulation result (first simulation result).

[0059] The processing unit 12 may also acquire a result (second simulation result) of a simulation of what proportion of multiple pedestrians can be guided when the irradiation pattern is executed, compared to when the irradiation pattern is not executed. That is, the processing unit 12 may acquire both the first simulation result and the second simulation result. The processing unit 12 may output the results of these two simulations to the display unit 20.

[0060] Next, the processing unit 12 outputs the results of the simulation to the display unit 20 (S14). As shown in FIG. 3, when the display unit 20 acquires the results of the simulation from the processing unit 12, it displays the acquired results of the simulation. When only the first simulation result is acquired, the display unit 20 displays only the first simulation result. When the display unit 20 further acquires the second simulation result, the display unit 20 may display the first simulation result and the second simulation result in combination. Furthermore, when only the second simulation result is acquired, the display unit 20 may display only the second simulation result.

[0061] Then, the lighting simulation system 1 ends the processing operation of the flowchart shown in FIG.

[0062] <Action and effect> Next, the effects of the lighting control simulator 10 and the lighting control simulating method according to this embodiment will be described.

[0063] As described above, the lighting control simulator 10 according to this embodiment is a lighting control simulator 10 that simulates the effect of lighting fixtures on pedestrians depending on the conditions of the planned installation locations of the lighting fixtures and the surrounding areas of the planned installation locations, and is equipped with a processing unit 12 that receives as input road map data representing the planned installation locations of the lighting fixtures and the surrounding areas, pedestrian data representing pedestrian attributes, lighting fixture specification data representing specifications related to the illumination of the lighting fixtures to be installed at the planned installation locations, and lighting illumination pattern data representing multiple illumination patterns for emitting light from the lighting fixtures, and virtually sets where on the road map data the lighting fixtures will be installed, and obtains simulation results that predict how the flow of pedestrians will change at the planned installation locations and in the surrounding areas by using the lighting fixture specification data and / or the lighting illumination pattern data.

[0064] This allows for the input of the planned installation location, the surrounding area of ​​the planned installation location, pedestrian data, lighting fixture specification data, and lighting irradiation pattern data, etc., to simulate the flow of pedestrians when lighting fixtures capable of implementing affordance lighting are introduced.

[0065] Therefore, the lighting control simulator 10 can simulate in advance the effects that can be expected when a lighting fixture capable of implementing affordance lighting is installed.

[0066] Furthermore, the lighting control simulating method according to this embodiment is a lighting control simulating method that simulates the effect that lighting fixtures have on pedestrians depending on the conditions of the planned installation locations of the lighting fixtures and the surrounding areas of the planned installation locations, and includes inputting road map data that represent the planned installation locations of the lighting fixtures and the surrounding areas, pedestrian data that represent pedestrian attributes, lighting fixture specification data that represent specifications related to the illumination of the lighting fixtures that are planned to be installed at the planned installation locations, and lighting illumination pattern data that represent multiple illumination patterns for emitting light from the lighting fixtures, virtually setting where on the road map data the lighting fixtures will be installed, and obtaining simulation results that predict how the flow of pedestrians will change at the planned installation locations and the surrounding areas by using the lighting fixture specification data and / or the lighting illumination pattern data.

[0067] This provides the same effects as those described above in the lighting control simulation method.

[0068] Furthermore, in the lighting control simulator 10 according to this embodiment, the processing unit 12 also acquires simulation results as to what percentage of the multiple pedestrians can be guided when the irradiation pattern is executed, compared to the movement of the multiple pedestrians when the irradiation pattern is not executed.

[0069] This allows users to know the expected effects of affordance lighting on guiding pedestrian flow as a basis for making decisions before installing lighting fixtures. If the expected effects are lower than expected, users can carefully consider the placement of lighting fixtures and the selection of illumination patterns that will meet their expectations before installing the lighting fixtures.

[0070] Furthermore, the lighting control simulator 10 of this embodiment acquires simulation results that predict how pedestrian traffic will change at the planned installation location and in the surrounding area by further inputting pedestrian traffic frequency data that indicates time periods when the pedestrian traffic frequency is higher than a reference value and vehicle traffic frequency data that indicates time periods when the traffic frequency of vehicles other than pedestrians is higher than a reference value.

[0071] For example, if a simulation is performed for all time periods, the processing load on the lighting control simulator 10 increases, and it may take a long time to obtain the results of the simulation.

[0072] However, according to this embodiment, for example, by narrowing down the simulation to dangerous time periods when traffic volume is heavy and traffic accidents are likely to occur, it becomes possible to perform a simulation in a shorter time.

[0073] In particular, in the case of a system that relies on the calculations of a remote external device 9 such as a cloud server for the simulation, limiting the calculations to only the most important ones makes it possible to suppress overloads on calculations and communications.

[0074] In addition, in the lighting control simulator 10 according to this embodiment, the irradiation pattern is configured by combining settings for the illuminance of the irradiation point, whether to blink or not, the time interval for blinking, the light color, and, if the irradiation point moves, settings for the irradiation position range and the moving speed, which are fixed or variable. The lighting fixture to be used can be specified when setting the irradiation pattern.

[0075] This allows various illumination patterns to be generated by changing the settings. Therefore, even if pedestrians have diverse preferences, illumination patterns tailored to each pedestrian can be provided. As a result, pedestrian data can be enriched, making it possible to obtain more accurate simulation results.

[0076] Furthermore, the lighting control simulator 10 according to this embodiment can periodically or ad hoc download and update at least the road map data, pedestrian data, lighting fixture specification data, and lighting irradiation pattern data from a predetermined external device 9.

[0077] This allows the latest data to be automatically or temporarily updated, thereby preventing a decrease in the accuracy of the simulation results and making the results more realistic.

[0078] (Modification of the embodiment) The lighting control simulator 10a and lighting control simulating method of this modification differ from the lighting control simulator and lighting control simulating method of the embodiment in that a communication unit 12a is used instead of a processing unit. The configurations and functions of the lighting control simulator 10a and lighting control simulating method of this modification that are the same as those of the lighting control simulator 10 and lighting control simulating method of the embodiment are designated by the same reference numerals, and detailed descriptions of the configurations and functions will be omitted.

[0079] <Configuration and Functions> A lighting control simulator 10a and a lighting control simulation method according to this modification will be described with reference to FIG.

[0080] FIG. 5 is a block diagram showing a lighting control simulator 10a according to a modified example of the embodiment.

[0081] In this modification, the lighting control simulator 10a includes a communication unit 12a in addition to the first to sixth storage units 11a to 11f.

[0082] The communication unit 12a transmits the various data input to the input unit 5 to an external device 9 such as a cloud server. That is, the communication unit 12a requests the external device 9 to perform a simulation to predict how pedestrian flow will change at the planned installation location and the surrounding area, based on the various data input to the input unit 5 and the virtual installation position (position information) of the lighting fixture on the road map data input to the input unit 5. The external device 9 executes a simulation to predict how pedestrian flow will change at the planned installation location and the surrounding area, and transmits the results of the executed simulation to the communication unit 12a. In this way, the communication unit 12a receives (acquires) the results of the simulation from the external device 9. The communication unit 12a outputs the acquired results of the simulation to the display unit 20.

[0083] <Action and effect> Next, the effects of the lighting control simulator 10a and the lighting control simulating method according to this modification will be described.

[0084] As described above, in the lighting control simulator 10a according to this modification, the processing unit is the communication unit 12a that can communicate with the external device 9. Then, a request is made to the external device 9 for a simulation that predicts how the flow of pedestrians will change at the planned installation location and in the surrounding area, and the results of the requested simulation are obtained from the external device 9.

[0085] According to this, by having the external device 9 analyze the effect of the irradiation pattern on pedestrians, it is possible to suppress an increase in the processing load on the lighting control simulator 10a.

[0086] (Other variations, etc.) The present disclosure has been described above based on the embodiments and modified examples of the embodiments, but the present disclosure is not limited to these embodiments and modified examples of the embodiments.

[0087] For example, the lighting control simulating device and the lighting control simulating method according to the present embodiment and the modified examples of the embodiment may be realized by a program that causes a computer to execute the lighting control simulating method. This program may be stored in a storage unit provided in the lighting control simulating device.

[0088] Furthermore, in the lighting control simulating device and lighting control simulating method in this embodiment and the modified example of the embodiment, the processing unit may use, in addition to road map data, pedestrian data, lighting fixture specification data, and lighting irradiation pattern data, moving vehicle attribute data to obtain simulation results that predict how pedestrian flow will change at the planned installation location and in the surrounding area.

[0089] Furthermore, the processing units and the like included in the lighting control simulating device and the lighting control simulating method in the present embodiment and the modified examples of the embodiment are typically realized as an LSI, which is an integrated circuit. These may be individually implemented as single chips, or some or all of them may be integrated into a single chip.

[0090] Furthermore, the integration is not limited to LSI, but may be realized by dedicated circuits or general-purpose processors. FPGAs (Field Programmable Gate Arrays), which can be programmed after LSI manufacturing, or reconfigurable processors, which allow the connections and settings of circuit cells within LSIs to be reconfigured, may also be used.

[0091] In the above-described embodiment and modified examples of the embodiment, each component may be configured with dedicated hardware, or may be realized by executing a software program suitable for each component. Each component may be realized by a program execution unit such as a CPU or processor reading and executing a software program stored in a storage medium such as a hard disk or semiconductor memory.

[0092] Furthermore, all of the numbers used above are examples used to specifically explain the present disclosure, and the embodiments and variations of the embodiments of the present disclosure are not limited to the numbers used as examples.

[0093] The division of functional blocks in the block diagram is an example, and multiple functional blocks may be realized as a single functional block, one functional block may be divided into multiple blocks, or some functions may be moved to another functional block.Furthermore, the functions of multiple functional blocks having similar functions may be processed in parallel or time-shared by a single piece of hardware or software.

[0094] The order in which the steps in the flowchart are executed is merely an example for specifically explaining the present disclosure, and an order other than the above may be used. Also, some of the steps may be executed simultaneously (in parallel) with other steps.

[0095] The following describes the features of the lighting control simulating device and lighting control simulating method described based on the above embodiment and the modified embodiment.

[0096] <Technology 1> A lighting control simulator that simulates an effect of a lighting fixture on pedestrians in accordance with a planned installation location of the lighting fixture and a situation in a surrounding area of ​​the planned installation location, comprising: road map data representing the planned installation location of the lighting fixture and the surrounding area; Pedestrian data representing attributes of the pedestrian; lighting fixture specification data representing specifications related to illumination of the lighting fixture to be installed at the planned installation location; illumination irradiation pattern data representing a plurality of irradiation patterns for emitting light from the lighting fixture; a processing unit that receives input of the above data, virtually sets where the lighting fixtures are to be installed on the road map data, and obtains a simulation result that predicts how the flow of pedestrians will change in the planned installation location and the surrounding area by using the lighting fixture specification data and / or the lighting irradiation pattern data. Lighting control simulator.

[0097] <Technology 2> The processing unit also acquires a simulation result regarding what proportion of the plurality of pedestrians can be guided in the movement of the plurality of pedestrians when the irradiation pattern is executed, compared to the movement of the plurality of pedestrians when the irradiation pattern is not executed. The lighting control simulator according to technology 1.

[0098] <Technology 3> Pedestrian traffic frequency data representing time periods when the pedestrian traffic frequency is higher than a reference value and vehicle traffic frequency data representing time periods when the traffic frequency of vehicles other than pedestrians is higher than a reference value are further input, thereby obtaining simulation results predicting how the pedestrian flow will change in the planned installation location and the surrounding area. The lighting control simulator according to any one of claims 1 to 2.

[0099] <Technology 4> The irradiation pattern is configured by combining settings for illuminance of the irradiation point, settings for blinking / not blinking, settings for the time interval when blinking, settings for the emitted color, and settings for the range of irradiation position and the moving speed as fixed or variable values ​​when the irradiation point moves, The illumination pattern can be set by specifying the lighting fixture to be used. The lighting control simulator according to any one of the first to third aspects of the present invention.

[0100] <Technology 5> At least the road map data, the pedestrian data, the lighting fixture specification data, and the lighting irradiation pattern data can be updated by being downloaded periodically or temporarily from a predetermined external device. The lighting control simulator according to any one of the first to fourth aspects of the present invention.

[0101] <Technology 6> the processing unit is a communication unit capable of communicating with an external device, A request is made to the external device for a simulation that predicts how the flow of pedestrians will change in the planned installation location and the surrounding area, and the results of the requested simulation are obtained from the external device. The lighting control simulator according to any one of the first to fifth aspects of the present invention.

[0102] <Technology 7> 1. A lighting control simulation method for simulating an effect of a lighting fixture on pedestrians according to a planned installation location of the lighting fixture and a situation of an area surrounding the planned installation location, the method comprising: road map data representing the planned installation location of the lighting fixture and the surrounding area; Pedestrian data representing attributes of the pedestrian; lighting fixture specification data representing specifications related to illumination of the lighting fixture to be installed at the planned installation location; illumination irradiation pattern data representing a plurality of irradiation patterns for emitting light from the lighting fixture; and inputting the data, virtually setting where the lighting fixtures will be installed on the road map data, and obtaining a simulation result that predicts how the flow of pedestrians will change in the planned installation location and the surrounding area by using the lighting fixture specification data and / or the lighting irradiation pattern data. Lighting control simulation method.

[0103] In addition, this disclosure also includes forms obtained by making various modifications to the embodiments and modifications of the embodiments that a person skilled in the art would think of, and forms realized by arbitrarily combining the components and functions of the embodiments and modifications of the embodiments within the scope that does not deviate from the intent of this disclosure. [Explanation of symbols]

[0104] 9 External device 10, 10a Lighting control simulator 12 Processing section 12a Communications Department

Claims

1. A lighting control simulator that simulates an effect of a lighting fixture on pedestrians in accordance with a planned installation location of the lighting fixture and a situation in a surrounding area of ​​the planned installation location, comprising: road map data representing the planned installation location of the lighting fixture and the surrounding area; Pedestrian data representing attributes of the pedestrian; lighting fixture specification data representing specifications related to illumination of the lighting fixture to be installed at the planned installation location; illumination irradiation pattern data representing a plurality of irradiation patterns for emitting light from the lighting fixture; a processing unit that receives input of the above data, virtually sets where the lighting fixtures will be installed on the road map data, and acquires a simulation result that predicts how the flow of pedestrians will change in the planned installation location and the surrounding area by using the lighting fixture specification data and / or the lighting irradiation pattern data. Lighting control simulator.

2. The processing unit also acquires a simulation result regarding what proportion of the plurality of pedestrians can be guided in the movement of the plurality of pedestrians when the irradiation pattern is executed, compared to the movement of the plurality of pedestrians when the irradiation pattern is not executed. The lighting control simulator according to claim 1 .

3. Pedestrian traffic frequency data representing time periods when the pedestrian traffic frequency is higher than a reference value and vehicle traffic frequency data representing time periods when the traffic frequency of vehicles other than pedestrians is higher than a reference value are further input, thereby obtaining simulation results predicting how the pedestrian flow will change in the planned installation location and the surrounding area.

3. The lighting control simulator according to claim 1.

4. The irradiation pattern is configured by combining settings of illuminance of the irradiation point, settings of whether to blink or not, settings of the time interval when blinking, settings of the emitted color, and settings of the irradiation position range and the moving speed as fixed or variable values ​​when the irradiation point moves, The illumination pattern can be set by specifying the lighting fixture to be used.

3. The lighting control simulator according to claim 1.

5. At least the road map data, the pedestrian data, the lighting fixture specification data, and the lighting irradiation pattern data can be updated by being downloaded periodically or temporarily from a predetermined external device.

3. The lighting control simulator according to claim 1.

6. the processing unit is a communication unit capable of communicating with an external device, A request is made to the external device for a simulation that predicts how the flow of pedestrians will change in the planned installation location and the surrounding area, and the results of the requested simulation are obtained from the external device.

3. The lighting control simulator according to claim 1.

7. 1. A lighting control simulation method for simulating an effect of a lighting fixture on pedestrians according to a planned installation location of the lighting fixture and a situation of an area surrounding the planned installation location, the method comprising: road map data representing the planned installation location of the lighting fixture and the surrounding area; Pedestrian data representing attributes of the pedestrian; lighting fixture specification data representing specifications related to illumination of the lighting fixture to be installed at the planned installation location; illumination irradiation pattern data representing a plurality of irradiation patterns for emitting light from the lighting fixture; and inputting the data, virtually setting where the lighting fixtures will be installed on the road map data, and obtaining a simulation result that predicts how the flow of pedestrians will change in the planned installation location and the surrounding area by using the lighting fixture specification data and / or the lighting irradiation pattern data. Lighting control simulation method.

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