WO2021176592A1 - 情報処理装置、生成方法、及び生成プログラム - Google Patents

情報処理装置、生成方法、及び生成プログラム Download PDF

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Publication number
WO2021176592A1
WO2021176592A1 PCT/JP2020/009138 JP2020009138W WO2021176592A1 WO 2021176592 A1 WO2021176592 A1 WO 2021176592A1 JP 2020009138 W JP2020009138 W JP 2020009138W WO 2021176592 A1 WO2021176592 A1 WO 2021176592A1
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Prior art keywords
information
guidance
providing
provision
situation
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PCT/JP2020/009138
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English (en)
French (fr)
Japanese (ja)
Inventor
雅樹 濱田
泰範 椿
建瑠 鈴木
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Mitsubishi Electric Corp
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Mitsubishi Electric Corp
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Priority to PCT/JP2020/009138 priority Critical patent/WO2021176592A1/ja
Priority to JP2020564277A priority patent/JPWO2021176592A1/ja
Publication of WO2021176592A1 publication Critical patent/WO2021176592A1/ja
Anticipated expiration legal-status Critical
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network

Definitions

  • This disclosure relates to an information processing device, a generation method, and a generation program.
  • Patent Document 1 For example, the display control system of Patent Document 1 predicts the behavior of a target person based on the behavior pattern learned from the behavior history information, generates a guidance image according to the prediction result, and displays the guidance image on the display unit.
  • the behavior pattern of the target person is learned. Therefore, in the above technique, guidance according to the predicted behavior of the target person is displayed. By the way, there are cases where it is desired to infer guidance or the like according to a situation in which a plurality of people exist.
  • the above technique is a technique for learning the behavior pattern of one target person. Therefore, the trained model generated by the above technique cannot infer guidance according to the situation.
  • the purpose of this disclosure is to generate a trained model that infers guidance etc. according to the situation.
  • the information processing device includes an acquisition unit that acquires guidance providing information, which is information related to the provision of guidance, and first surrounding situation information, which is information indicating the surrounding situation of the information providing device that provides the guidance, and the guidance.
  • guidance providing information which is information related to the provision of guidance
  • first surrounding situation information which is information indicating the surrounding situation of the information providing device that provides the guidance
  • the guidance information which is information indicating the guidance of the provision target according to the situation
  • the timing of providing the guidance information and the method of providing the guidance information based on the provided information and the first surrounding situation information.
  • It has a generator that generates a trained model that infers at least one of the above.
  • FIG. (A) and (B) are diagrams showing specific examples of the guidance information of the first embodiment.
  • FIG. 1 is a diagram showing a hardware configuration of the information processing apparatus according to the first embodiment.
  • the information processing device 100 is a device that executes the generation method.
  • the information processing device 100 may be called a learning device.
  • the information processing device 100 includes a processor 101, a volatile storage device 102, and a non-volatile storage device 103.
  • the processor 101 controls the entire information processing device 100.
  • the processor 101 is a CPU (Central Processing Unit), an FPGA (Field Programmable Gate Array), or the like.
  • the processor 101 may be a multiprocessor.
  • the information processing apparatus 100 may be realized by a processing circuit, or may be realized by software, firmware, or a combination thereof.
  • the processing circuit may be a single circuit or a composite circuit.
  • the volatile storage device 102 is the main storage device of the information processing device 100.
  • the volatile storage device 102 is a RAM (Random Access Memory).
  • the non-volatile storage device 103 is an auxiliary storage device of the information processing device 100.
  • the non-volatile storage device 103 is an HDD (Hard Disk Drive) or an SSD (Solid State Drive).
  • FIG. 2 is a diagram showing a functional block included in the information processing apparatus in the learning phase of the first embodiment.
  • the information processing device 100 has a storage unit 110, an acquisition unit 120, and a generation unit 130.
  • the storage unit 110 may be realized as a storage area reserved in the volatile storage device 102 or the non-volatile storage device 103.
  • a part or all of the acquisition unit 120 and the generation unit 130 may be realized by the processor 101.
  • a part or all of the acquisition unit 120 and the generation unit 130 may be realized as a module of a program executed by the processor 101.
  • the program executed by the processor 101 is also called a generation program.
  • the generation program is recorded on a recording medium.
  • the acquisition unit 120 acquires the learning data 10. Specifically, the acquisition unit 120 acquires the guidance providing information which is the information regarding the provision of the guidance and the surrounding situation information which is the information indicating the surrounding situation of the information providing device which provides the guidance. In other words, the acquisition unit 120 acquires the surrounding situation information which is the information indicating the surrounding situation of the information providing device for providing the information and the guidance providing information which is the information regarding the provision of the guidance performed by the information providing device in the situation. do.
  • the surrounding situation information is also referred to as a first surrounding situation information.
  • the surrounding situation information may be expressed as information indicating a situation in a preset range from the position where the information providing device exists.
  • the information providing device is a digital signage, a projector, a smartphone, etc. installed in a facility such as a station. Further, the information providing device may be called an information presenting device or an information output device.
  • the guidance providing information includes at least one of guidance information (for example, content) which is information indicating guidance, timing for providing guidance information, and a method for providing guidance information.
  • guidance information for example, content
  • the guidance indicated by the guidance information includes transfer guidance, route guidance, mobility support for vulnerable people, guidance on trouble occurrence, alerting, etiquette enlightenment, and the like.
  • the method of providing the guidance information is a method of displaying the guidance information on the display of the information providing device, a method of providing the guidance information by voice from the speaker of the information providing device, and providing information that the guidance information is received. This is a method of transmitting by vibration by the tactile presentation device of the device.
  • the surrounding situation information includes the degree of congestion, the degree of danger, the weather, the time zone, and the like.
  • the degree of congestion is obtained based on an image obtained from a surveillance camera, information on a group passing through an automatic ticket gate, information obtained from a sensor, and the like.
  • the risk level is set to a value based on the probability of accident occurrence.
  • the probability of an accident is calculated based on information such as the area around the platform when the train arrives, stairs, escalators, places with poor visibility, and places where accidents have occurred in the past.
  • the generation unit 130 may calculate the degree of congestion, the degree of risk, and the like by using the surrounding situation information of the learning data.
  • the weather is the weather of the place where the information providing device is located.
  • the time zone includes commuting rush hour, weekday time zone, holiday time zone, long vacation time zone, and the like.
  • the surrounding situation information may include the attributes of the customers who use the facility.
  • the attributes of the user are age, gender, wheelchair, stroller, white cane, and the like.
  • the attributes of the user can be obtained by analyzing the image obtained from the surveillance camera.
  • the guidance provision information and the surrounding situation information may be learning data created by the device by the user's operation. That is, the guidance provision information and the surrounding situation information may be fictitious data created by the user. Further, the guidance provision information may be information when the guidance is actually provided.
  • the surrounding situation information may be information on the surrounding situation of the past information providing device. That is, the guidance providing information and the surrounding situation information may be actual information.
  • the generation unit 130 generates a trained model based on the training data. Specifically, the generation unit 130 performs the learning process so that the guidance method or the like according to the surrounding situation of the information providing device is appropriate.
  • the learning process (that is, learning algorithm) includes supervised learning, unsupervised learning, reinforcement learning, semi-supervised learning, and the like. As an example, the case where reinforcement learning is used will be described.
  • an agent that is, an action subject
  • observes the current state that is, an environmental parameter
  • the agent is then rewarded as the environment changes.
  • the agent repeats the above process, and learns the action policy in which the most reward is obtained through a series of actions.
  • Q-learning and TD-learning are known.
  • the general update formula of the action value function Q (s, a) is expressed by the following formula (1).
  • s t represents the state of the environment at time t.
  • a t represents an action at time t.
  • the state is changed to s t + 1.
  • rt + 1 represents the reward obtained by changing the state.
  • ⁇ represents the discount rate.
  • ⁇ represents a learning coefficient.
  • the range of ⁇ is “0 ⁇ ⁇ 1”.
  • the range of ⁇ is “0 ⁇ ⁇ 1”. If the reinforcement learning is used, the guide provides information corresponding to the action a t, the surrounding status information corresponding to the state s t. And, best of the action a t in state s t at time t is learned.
  • equation (1) when the action value of the action a having the highest Q value at time t + 1 is larger than the action value of the action a at time t, the action value becomes large.
  • the action value of the action a having the highest Q value at time t + 1 when the action value of the action a having the highest Q value at time t + 1 is smaller than the action value of the action a at time t, the action value becomes small.
  • the action value function Q (s, a) is updated so that the action value of the action a at the time t approaches the best action value at the time t + 1. Then, the best action value in a certain environment is sequentially propagated to the action value in the previous environment.
  • the generation unit 130 has a reward calculation unit 131 and a function update unit 132.
  • the reward calculation unit 131 increases the reward r when the surrounding conditions improve. For example, the reward calculation unit 131 gives a reward of "1" when the degree of congestion is low or the degree of risk is low.
  • the reward calculation unit 131 reduces the reward r when the surrounding situation deteriorates. For example, the reward calculation unit 131 gives a reward of "-1" when the degree of congestion becomes high or the degree of risk becomes high.
  • the function update unit 132 updates the function for inferring the guidance method or the like according to the reward r.
  • action value function Q (s t, a t) represented by the formula (1) is, as a function for inferring such guidance method used.
  • Generator 130 Repeating the above learning, action value function Q (s t, a t) as trained model generates.
  • the generation unit 130 stores the trained model in the storage unit 110.
  • FIG. 3 is a flowchart showing an example of processing based on the reinforcement learning of the first embodiment.
  • the acquisition unit 120 acquires the learning data 10. That is, the acquisition unit 120 acquires the guidance provision information and the surrounding situation information.
  • the guidance providing information shall include the guidance information, the timing of providing the guidance information, and the method of providing the guidance information.
  • Step S12 The reward calculation unit 131 determines whether or not the surrounding situation indicated by the surrounding situation information is improved by the guidance method or the like indicated by the guidance providing information. Specifically, the reward calculation unit 131 determines whether or not the surrounding situation improves based on a preset standard. For example, the reward calculation unit 131 determines that the surrounding situation will improve when the degree of congestion becomes lower than the preset standard due to the guidance method indicated by the guidance provision information. If the surrounding conditions improve, the process proceeds to step S13. If the surrounding conditions worsen, the process proceeds to step S14.
  • Step S13 The reward calculation unit 131 increases the reward r. Then, the process proceeds to step S15.
  • Step S14 The reward calculation unit 131 reduces the reward r.
  • Step S15 function update unit 132, according to the reward r, action-value function Q (s t, a t) to update.
  • the generation unit 130 repeats steps S11 to S15. That is, the generation unit 130 executes the processes after step S12 every time the learning data 10 is acquired. Step S11 ⁇ 15 generated by repeats the action-value function Q (s t, a t) is, as a learned model, are stored in the storage unit 110. Further, the generation unit 130 may store the trained model in an external device that can be connected to the information processing device 100.
  • the generation unit 130 generates the trained model based on the guidance provision information and the surrounding situation information.
  • the information processing device uses the trained model to provide guidance information, which is information indicating guidance of the provision target, timing for providing the guidance information, and the guidance information according to the situation. At least one of the methods can be inferred. That is, the information processing device can infer what kind of guidance information is provided at what timing and by what method according to the situation by using the trained model.
  • FIG. 4 is a diagram showing a functional block included in the information processing apparatus in the utilization phase of the first embodiment.
  • the configuration of FIG. 4, which is the same as the configuration shown in FIG. 2, has the same reference numerals as those shown in FIG.
  • the information processing device 100a may be called an inference device.
  • the information processing device 100a is connected to the information providing devices 20_1 to 20_3.
  • the information providing device 20_1 is a digital signage.
  • the information processing device 100a includes a storage unit 110, an acquisition unit 120a, an inference unit 140, and a provision control unit 150.
  • the information processing device 100 and the information processing device 100a may be the same device or different devices.
  • the information processing device 100a has a generation unit 130.
  • a part or all of the acquisition unit 120a, the inference unit 140, and the provision control unit 150 may be realized by the processor included in the information processing device 100a.
  • a part or all of the acquisition unit 120a, the inference unit 140, and the provision control unit 150 may be realized as a module of a program executed by a processor included in the information processing device 100a.
  • the program is recorded on a recording medium.
  • the acquisition unit 120a acquires the surrounding situation information 11.
  • the surrounding situation information 11 is information indicating the surrounding situation of the information providing device 20_1.
  • the acquisition unit 120a acquires the surrounding situation information 11 from the surveillance camera installed above the information providing device 20_1.
  • the surrounding situation information 11 is also referred to as a second surrounding situation information.
  • the inference unit 140 may calculate the degree of congestion, the degree of risk, and the like by using the surrounding situation information 11.
  • the acquisition unit 120a acquires the trained model.
  • the acquisition unit 120a acquires the trained model from the storage unit 110.
  • the acquisition unit 120a acquires the trained model from the external device.
  • the inference unit 140 infers a guidance method or the like according to the situation indicated by the surrounding situation information 11 by using the surrounding situation information 11 and the learned model. That is, the inference unit 140 provides guidance information to be provided, timing for providing the guidance information, and the guidance information according to the situation indicated by the surrounding situation information 11 based on the surrounding situation information 11 and the learned model. Infer how to provide.
  • the guidance information is also referred to as the first guidance information.
  • the provision control unit 150 controls the information providing device regarding the provision of guidance based on the result of the inference.
  • FIG. 5 is a flowchart showing an example of processing executed by the information processing apparatus in the utilization phase of the first embodiment.
  • the acquisition unit 120a acquires the surrounding situation information 11. Further, the acquisition unit 120a acquires the trained model.
  • the inference unit 140 infers a guidance method according to the surrounding situation indicated by the surrounding situation information 11 based on the surrounding situation information 11 and the learned model.
  • the provided control unit 150 executes control based on the result of inference. Specifically, the provision control unit 150 provides information on the provision instruction of the guidance information to be provided, the information indicating the timing of providing the guidance information, and the information indicating the method of providing the guidance information based on the result of the inference. Send to the provider. For example, when the surrounding situation information 11 indicates the surrounding situation of the information providing device 20_1, the provision control unit 150 indicates the provision instruction of the guidance information to be provided and the timing of providing the guidance information based on the inference result. , And information indicating a method of providing the guidance information is transmitted to the information providing device 20_1.
  • the provision control unit 150 shall transmit the information to the information providing device 20_1.
  • the provision control unit 150 may transmit the guidance information of the provision target.
  • the information providing device 20_1 provides the guidance information to be provided by the method at the timing.
  • the information providing device 20_1 displays transfer guidance, route guidance, movement support for vulnerable people, guidance when a trouble occurs, alerting, etiquette enlightenment, etc. on the display of the information providing device 20_1.
  • the congestion is alleviated. By reducing congestion, the travel time of passengers within the facility will be shortened. Further, for example, the information providing device 20_1 displays the guidance information to prevent a fall accident.
  • FIG. 6 is a diagram showing an example in the facility of the station of the first embodiment.
  • FIG. 6 shows the home 200 and the concourse 201. Further, FIG. 6 shows digital signage 202_1 to 202_5 and speakers 203_1 and 203_2. Digital signage 202_1 to 202_5 and speakers 203_1 and 203_2 are information providing devices.
  • the information processing device 100a acquires the surrounding condition information 11 indicating that the periphery of the escalator existing near the digital signage 202_1 or the speaker 203_1 is congested.
  • the information processing device 100a infers a guidance method and the like by using the surrounding situation information 11 and the learned model. Based on the result of inference, the information processing device 100a transmits information prompting the user to use the stairs to the digital signage 202_1 or the speaker 203_1.
  • the digital signage 202_1 displays information prompting the use of the stairs.
  • the speaker 203_1 provides information prompting the use of the stairs by voice.
  • the information processing device 100a acquires the surrounding situation information 11 indicating that a wheelchair user exists around the digital signage 202_1 or the speaker 203_1.
  • the information processing device 100a infers a guidance method and the like by using the surrounding situation information 11 and the learned model. Based on the result of the inference, the information processing device 100a transmits information to the digital signage 202_1 or the speaker 203_1 to urge users other than the wheelchair user not to use the elevator.
  • the digital signage 202_1 displays information urging passengers other than wheelchair passengers not to use the elevator.
  • the speaker 203_1 audibly provides information prompting the passengers other than the wheelchair passengers not to use the elevator. This allows wheelchair users to use the elevator.
  • the information processing device 100a indicates that a user walking while using a smartphone or a user who violates the manners of carry-back exists around the digital signage 202_1 or the speaker 203_1. Get 11 The information processing device 100a infers a guidance method and the like by using the surrounding situation information 11 and the learned model. The information processing device 100a transmits the alert information to the digital signage 202_1 or the speaker 203_1 based on the result of the inference. Digital signage 202_1 displays alert information. Alternatively, the speaker 203_1 provides the alert information by voice.
  • the information processing device 100a acquires the surrounding situation information 11 indicating that the surroundings of the speaker 203_1 are congested.
  • the information processing apparatus 100a acquires the surrounding situation information 11 indicating that the surroundings of the digital signage 202_2 are congested.
  • the information processing device 100a infers a guidance method and the like by using the surrounding situation information 11 and the learned model.
  • the information processing device 100a transmits guidance information to the speaker 203_1 based on the result of inference.
  • the speaker 203_1 provides guidance information by voice. As a result, since the surroundings of the digital signage 202_2 are congested, even if the user cannot see the digital signage 202_2, the user can hear the guidance by voice.
  • the information processing device 100a acquires the surrounding situation information 11 indicating that a user who may fall from the home 200 exists around the digital signage 202_1 or the speaker 203_1.
  • the information processing device 100a infers a guidance method and the like by using the surrounding situation information 11 and the learned model.
  • the information processing device 100a transmits information calling attention to the digital signage 202_1 or the speaker 203_1 based on the result of the inference.
  • Digital signage 202_1 displays information that calls attention.
  • the speaker 203_1 provides information calling attention by voice.
  • the information processing device 100a displays information for guiding users during the commuting rush hour on the digital signage, and provides guidance at a time other than the commuting rush hour (for example, guidance for an event held in the facility). It may be displayed on digital signage.
  • 7 (A) and 7 (B) are diagrams showing specific examples of the guidance information of the first embodiment.
  • 7 (A) and 7 (B) are examples of guidance information displayed by digital signage.
  • the information processing device 100 can generate a trained model that infers guidance or the like according to a situation. Further, the information processing device 100a can provide appropriate guidance according to the situation via the information providing device by using the trained model.
  • the information processing device 100 and the information processing device 100a may be considered as cloud servers. Further, at least one of the information processing device 100 and the information processing device 100a may be included in the information providing device.
  • the information processing device 100 may learn actual information as learning data.
  • the guidance providing information is information regarding the provision of guidance provided by the information providing device when the situation around the information providing device is the first situation.
  • the surrounding situation information is information indicating the first situation.
  • the information processing device 100 can generate a learned model that infers a guidance method or the like according to the actual situation by using the actual information as the learning data.
  • the information processing device 100 may use information acquired from a plurality of information providing devices existing in the same area as learning data, or information acquired from a plurality of information providing devices existing in different areas. May be used as training data.
  • an information presentation device for which learning data is collected may be added in the middle.
  • the information presentation device for which the learning data is collected may be removed in the middle.
  • the information processing device 100 may be included in the information providing device.
  • the information processing device 100 executes a learning process using the learning data acquired from the information providing device, and the information providing device is different from the information providing device.
  • the learning process may be executed using the learning data acquired from the different information providing device.
  • Embodiment 2. ⁇ Utilization phase> Next, the second embodiment will be described. In the second embodiment, matters different from the first embodiment will be mainly described. Then, in the second embodiment, the description of the matters common to the first embodiment will be omitted. In the description of the second embodiment, FIGS. 1 to 7 are referred to.
  • FIG. 8 is a diagram showing a functional block included in the information processing device in the utilization phase of the second embodiment.
  • the information processing device 100a further includes a specific unit 160. Further, the information processing device 100a has a provision control unit 150a.
  • the storage unit 110 further stores the movement history of the group. In other words, the movement history of the group is the movement history of a plurality of users. Further, the storage unit 110 stores the route information.
  • the acquisition unit 120a acquires the movement history of the group existing around the information providing device from the storage unit 110. For example, when the surrounding situation information 11 indicates the surrounding situation of the information providing device 20_1, the acquisition unit 120a acquires the movement history of the group existing around the information providing device 20_1 from the storage unit 110.
  • the movement history of the group may be stored in an external device.
  • the acquisition unit 120a acquires the movement history of the group from the external device.
  • the movement history of the group is information indicating where the group has moved in the past.
  • the identification unit 160 identifies the destination to which the group moves based on the movement history of the group. For example, the identification unit 160 identifies a destination that is a destination of the movement of the group existing around the information providing device 20_1 based on the movement history of the group.
  • the acquisition unit 120a acquires route information indicating a route to the destination from the storage unit 110.
  • the route information may be stored in an external device.
  • the acquisition unit 120a acquires the route information from the external device. It is desirable that the route information is information indicating the route having the shortest distance to the destination.
  • the provision control unit 150a acquires route information via the acquisition unit 120a.
  • the provision control unit 150a identifies a plurality of information providing devices existing on the route indicated by the route information based on the route information.
  • the plurality of information providing devices include the information providing device 20_1.
  • the provision control unit 150a changes the guidance information based on the inference result into guidance that guides the group to the destination.
  • the provision control unit 150a controls a plurality of information providing devices based on the changed guidance information.
  • the providing control unit 150a controls the information providing device 20_1 so as to provide the guidance information at the timing and the providing method based on the inference result. do.
  • FIG. 9 is a flowchart showing an example of processing executed by the information processing apparatus in the utilization phase of the second embodiment.
  • the acquisition unit 120a acquires the surrounding situation information 11. Further, the acquisition unit 120a acquires the trained model.
  • the inference unit 140 infers a guidance method according to the surrounding situation indicated by the surrounding situation information 11 based on the surrounding situation information 11 and the learned model.
  • Step S33 The acquisition unit 120a acquires the movement history of the group existing around the information providing device of the surrounding situation information 11 indicating the surrounding situation of the information providing device from the storage unit 110. In other words, the acquisition unit 120a acquires from the storage unit 110 the movement history of the group existing in the preset range from the position where the information providing device exists in the surrounding situation information 11 indicating the surrounding situation of the information providing device. .. (Step S34) The identification unit 160 identifies a destination to which the group moves based on the movement history.
  • Step S35 The acquisition unit 120a acquires route information indicating a route to the destination from the storage unit 110.
  • Step S36 The provision control unit 150a identifies a plurality of information providing devices existing on the route indicated by the route information based on the route information.
  • steps S33 to 36 may be executed in parallel with steps 31 and 32.
  • the provision control unit 150a changes the guidance information based on the result of the inference to the guidance for guiding the group to the destination.
  • the provision control unit 150a performs control based on the changed guidance information on the plurality of information providing devices. Specifically, the provision control unit 150a transmits an instruction to a plurality of information providing devices so that the provision of guidance for guiding the group to the destination is synchronized. In other words, the provision control unit 150a transmits an instruction to a plurality of information providing devices so that the provision of the guidance for guiding the group to the destination is linked.
  • the plurality of information providing devices can provide guidance in synchronization with each other. In other words, the plurality of information providing devices provide guidance for guiding the group to the destination in an interlocking manner. The group is guided to the destination by the guidance of a plurality of information providing devices.
  • the information processing device 100a may display a colored alert on the information providing device existing at the branch point so that the user does not follow the wrong route at the branch point on the route. Further, the information processing device 100a may transmit an instruction to a plurality of information providing devices so that the user does not follow the wrong route at the branch point on the route and repeatedly displays the alert. The information processing device 100a may transmit an instruction to a plurality of information providing devices so that the user does not follow an erroneous route at a branch point on the route and displays a warning for a long period of time.
  • the information processing device 100a does not have to specify all the plurality of information providing devices existing on the route indicated by the route information.
  • the information processing device 100a may specify a plurality of information providing devices selected every other one from all the information providing devices existing on the route indicated by the route information.
  • FIG. 10 is a diagram showing a specific example in the case where the plurality of information providing devices of the second embodiment are synchronized.
  • FIG. 10 shows the home 300.
  • the frame 301 shows the periphery of the stairs.
  • the frame 302 shows the periphery of the elevator.
  • the frame 303 shows the periphery of the escalator.
  • FIG. 10 shows digital signage.
  • FIG. 10 shows digital signage 304a, 304b.
  • FIG. 10 shows that train 305 has arrived at the station.
  • the information processing device 100a acquires the surrounding situation information 11 indicating the surrounding situation of the digital signage 304a.
  • the information processing device 100a infers a guidance method according to the surrounding situation indicated by the surrounding situation information 11 based on the surrounding situation information 11 and the learned model.
  • the information processing device 100a acquires the movement history of the group existing around the digital signage 304a from the storage unit 110.
  • the information processing device 100a identifies a destination to which the group moves, based on the movement history.
  • the information processing device 100a acquires route information indicating a route to the destination from the storage unit 110.
  • the information processing device 100a identifies the digital signage 304a and 304b existing on the route indicated by the route information.
  • the information processing device 100a changes the guidance information based on the inference result into guidance that guides the group to the destination.
  • the information processing device 100a transmits an instruction to the digital signage 304a and 304b so that the provision of guidance for guiding the group to the destination is synchronized. That is, the information processing apparatus 100a transmits a command to the digital signage 304a and 304b so that the provision of the guidance for guiding the group to the destination is synchronized. Further, the information processing apparatus 100a controls the digital signage 304a so as to provide the changed guidance information at the timing and the providing method based on the inference result.
  • the digital signage 304a displays information for guiding the population in the direction of the digital signage 304b at a timing and providing method based on the result of inference. Then, the digital signage 304b displays information for guiding the group in the direction of the escalator. As a result, the information processing device 100a can smoothly move the group to the destination. In addition, the degree of congestion is alleviated by the smooth movement of the group.
  • the acquisition unit 120a acquires the position information of the portable device and the identification information of the portable device. For example, the acquisition unit 120a acquires the position information of the portable device and the identification information of the portable device from the portable device.
  • the acquisition unit 120a determines whether or not the position indicated by the position information exists in the periphery of the information providing device. In other words, the acquisition unit 120a determines whether or not the position indicated by the position information exists within a preset range from the position where the information providing device exists. For example, when the surrounding situation information 11 indicates the surrounding situation of the information providing device 20_1, the acquisition unit 120a determines whether or not the position indicated by the position information exists in the surroundings of the information providing device 20_1. When the position indicated by the position information exists in the periphery of the information providing device, the acquisition unit 120a acquires the movement history of the user who uses the portable device specified by the identification information. In other words, the acquisition unit 120a acquires the movement history of the user from the movement history, with the movement of the mobile device specified by the identification information as the movement of the user.
  • the user is also referred to as a user.
  • the identification unit 160 identifies the destination to which the user is moving based on the movement history.
  • the acquisition unit 120a acquires route information indicating a route to the destination.
  • the provision control unit 150a identifies a plurality of information providing devices existing on the route indicated by the route information based on the route information.
  • the surrounding situation information 11 indicates the surrounding situation of the information providing device 20_1, the plurality of information providing devices include the information providing device 20_1.
  • the provision control unit 150a changes the guidance information into a guidance that guides the user to the destination.
  • the provision control unit 150a controls a plurality of information providing devices based on the changed guidance information. Specifically, the provision control unit 150a transmits an instruction to a plurality of information providing devices so that the provision of the guidance for guiding the user to the destination is synchronized. In other words, the provision control unit 150a transmits an instruction to a plurality of information providing devices so that the provision of the guidance for guiding the user to the destination is linked. As a result, the plurality of information providing devices can provide guidance in synchronization with each other. Therefore, the information processing device 100a can smoothly move the user to the destination.
  • the information processing device 100a may cause the information providing device to provide the input information (for example, a character string, an image, etc.) by the operation of the staff of the facility. As a result, the information providing device provides the guidance that the facility staff wants to provide.

Landscapes

  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Automation & Control Theory (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
PCT/JP2020/009138 2020-03-04 2020-03-04 情報処理装置、生成方法、及び生成プログラム Ceased WO2021176592A1 (ja)

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