Elevator system control device
The elevator control device addresses the challenge of managing user emotions by analyzing angry users, creating movement tables, and adjusting priorities, resulting in improved allocation and waiting strategies that enhance user experience and operational efficiency.
Patent Information
- Application Number
- JP2024098129
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2024-06-18
- Publication Date
- 2025-04-28
- Estimated Expiration
- 2044-06-18
AI Technical Summary
Existing elevator control systems do not adequately consider the emotions of users, particularly anger, when managing elevator operations, which can lead to inefficient allocation and waiting priorities.
A control device for an elevator system that includes a first analysis unit to identify users with angry feelings, a second analysis unit to track user movements, a movement table creation unit to aggregate angry user data, a priority determination unit to adjust allocation and waiting priorities based on this data, and an operation control unit to implement these priorities.
The system effectively prioritizes elevator car allocation and waiting based on the presence of angry users, improving user experience by reducing wait times and improving service efficiency during peak angry user periods.
Smart Images

Figure 0007669570000001_ABST
Abstract
Description
[Technical field]
[0001] FIELD OF THE DISCLOSURE An embodiment of the present invention relates to a control device for an elevator system. [Background technology]
[0002] Improvements to elevator operation have been proposed from various perspectives, including a technology that grasps elevator demand based on the flow of elevator users and controls elevator operation according to this demand. [Prior art documents] [Patent documents]
[0003] [Patent Document 1] JP 2020-193072 A [Patent Document 2] JP 2012-086922 A Summary of the Invention [Problem to be solved by the invention]
[0004] There is room for further study on controlling elevator operation while taking into account the emotions of elevator users.
[0005] An embodiment provides a control device for an elevator system that can control operation while taking into consideration the feelings of elevator users. [Means for solving the problem]
[0006] The control device for an elevator system according to one embodiment includes a first analysis unit, a second analysis unit, a movement table creation unit, a priority determination unit, and an operation control unit. The first analysis unit analyzes information related to elevator users to determine which of the elevator users have at least an angry feeling. The second analysis unit analyzes information related to the elevator users to determine the departure floor at which the user got into the elevator car and the destination floor at which the user got off the car. The movement table creation unit creates a movement table for each time period that tallies the number of users who have at least an angry feeling for each correspondence between the departure floor and the destination floor. The priority determination unit determines the priority of the car for each time period based on the movement table for each time period. The operation control unit performs group management control of the operation of the car based on the priority. [Brief description of the drawings]
[0007] [Figure 1] FIG. 1 is a diagram illustrating an example of a configuration of an elevator system according to an embodiment. [Diagram 2] FIG. 2 is a diagram showing an example of the configuration of an elevator hall as an elevator landing. [Diagram 3] FIG. 3 is a diagram showing an example of an image analysis result by the image analysis unit. [Figure 4] FIG. 4 is a diagram showing an example of a movement table. [Diagram 5] FIG. 5 is a flowchart showing a migration table creation operation of the user information management device. [Figure 6] FIG. 6 is a flowchart showing a priority determination operation of the user information management device. [Figure 7] FIG. 7 is a diagram illustrating an example of a method for determining the allocation priority. [Figure 8] FIG. 8 is a diagram for explaining an example of a method for determining the standby priority. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0008] Hereinafter, an embodiment will be described with reference to the drawings. FIG. 1 is a diagram showing an example of the configuration of an elevator system according to an embodiment. The elevator system 1 shown in FIG. 1 is a system that performs group management of elevators. The elevator system 1 shown in FIG. 1 performs group management of, for example, three elevators. Hereinafter, the three elevators may be referred to as elevator A, elevator B, and elevator C. Herein, FIG. 1 shows a system that performs group management of three elevators, but the number of elevators is not limited to three.
[0009] The elevator system 1 includes elevator control devices 11a, 11b, and 11c, cars 12a, 12b, and 12c, a hall call registration device 16, cameras 17a, 17b, and 17c, a group management control device 20, and a server 30. The hall call registration device 16 and the cameras 17a, 17b, and 17c are installed in an elevator hall 15 on each floor.
[0010] The elevator control device 11a controls the operation of the car 12a of car A. The elevator control device 11b controls the operation of the car 12b of car B. The elevator control device 11c controls the operation of the car 12c of car C. Specifically, the elevator control devices 11a-11c each control the corresponding car, such as controlling a motor (hoist) (not shown) for raising and lowering the corresponding car, and controlling the opening and closing of the doors. The elevator control devices 11a-11c are configured using a computer including a processor and a memory.
[0011] The car 12a is the car of the A-th car. The car 12b is the car of the B-th car. The car 12c is the car of the C-th car. The cars 12a-12c are each raised and lowered in the elevator shaft by the drive of a motor. A load sensor 13a is installed, for example, at the bottom of the car 12a. A load sensor 13b is installed, for example, at the bottom of the car 12b. A load sensor 13c is installed, for example, at the bottom of the car 12c. The load sensors 13a-13c are, for example, load cells, and detect the load in the car. The load data detected by the load sensors 13a-13c is transmitted to the group management control device 20 via the elevator control devices 11a-11c.
[0012] Also, a camera 14a may be installed, for example, on the ceiling of the car 12a. A camera 14b may be installed, for example, on the ceiling of the car 12b. A camera 14c may be installed, for example, on the ceiling of the car 12c. The cameras 14a-14c photograph the inside of the car. The photographed images obtained by the cameras 14a-14c may be transmitted to the group management control device 20 via the elevator control devices 11a-11c.
[0013] The group management control device 20 is a control device of the elevator system 1 for group management control of the operation of the cars 12a-12c. The group management control device 20 is configured using a computer including a processor and a memory, similar to the elevator control devices 11a-11c. The group management control device 20 has a call storage unit 21, a user information management device 22, and an operation control unit 23. Here, some or all of the functions of the user information management device 22 may be provided in the server 30.
[0014] The call storage unit 21 stores hall calls registered by operating the hall call registration device 16.
[0015] The user information management device 22 is a device that manages information on elevator users. The user information management device 22 recognizes the emotions of elevator users. The user information management device 22 then creates a movement table based on the recognition result of the emotions of the users. The movement table is a table that compiles, for example, from which floor to which floor each user who has an angry emotion moved for each time period. Furthermore, the user information management device 22 determines the priority of the elevator cars 12a-12c based on the created movement table. The user information management device 22 then notifies the operation control unit 23 of the priority. The user information management device 22 may be configured to communicate with the server 30. The user information management device 22 will be described in detail later.
[0016] The operation control unit 23 controls the operation of multiple elevators through the elevator control devices 11a-11c. The operation control unit 23 performs general group management control unless there is an instruction from the user information management device 22, but performs group management control by prioritizing the notification when a priority notice is received from the user information management device 22. In addition, when a new hall call is registered, the operation control unit 23 selects a car to which the hall call is to be assigned from among the cars 12a-12c, and directs the selected car to the elevator hall 15 of the floor where the hall call is registered.
[0017] The server 30 stores in a predetermined storage device the information created by the user information management device 22. When the server 30 is provided with some or all of the functions of the user information management device 22, the server 30 can perform the same processing as the user information management device 22.
[0018] Fig. 2 is a diagram showing an example of the configuration of an elevator hall 15 as an elevator landing. However, the configuration shown in Fig. 2 is just one example. The configuration of the elevator hall 15 is not limited to the configuration shown in Fig. 2.
[0019] A hall call registration device 16 for registering hall calls is installed in the elevator hall 15 on each floor. In the example of Fig. 2, a hall call registration device 16 installed on an arbitrary floor is shown for convenience, but in reality, at least one hall call registration device 16 is installed on each floor. The hall call registration device 16 is connected to the group management control device 20 via a transmission cable (not shown). The hall call registration device 16 is equipped with a hall call button that allows a user to specify the destination direction as either up or down.
[0020] In the following description, a "hall call" refers to a call signal registered by operating the hall call registration device 16 in the elevator hall 15, and includes information on the departure floor and destination direction. In contrast, a "car call" refers to a call signal registered by operating a destination floor button in a car, and includes information on the car and the destination floor.
[0021] In addition, cameras 17a, 17b, and 17c are installed corresponding to the respective elevators in the elevator hall 15 on each floor. The cameras 17a-17c are installed, for example, above the landing doors 18a-18c, and capture an area including the faces of users waiting near the landing doors 18a-18c. The captured images obtained by the cameras 17a-17c are transmitted to a user information management device 22 in the group management control device 20.
[0022] The user information management device 22 will be further described. As shown in Fig. 1, the user information management device 22 has an image analysis unit 22a, a transfer table creation unit 22b, an information storage unit 22c, and a priority determination unit 22d. The user information management device 22 can execute the operations of the image analysis unit 22a, the transfer table creation unit 22b, and the priority determination unit 22d by, for example, executing a program stored in a memory with a processor.
[0023] The image analysis unit 22a analyzes the captured images obtained by the cameras 17a-17c installed in the elevator hall 15 on each floor. Then, the image analysis unit 22a stores the image analysis results of the captured images in the information storage unit 22c.
[0024] Specifically, the image analysis unit 22a recognizes the faces of users waiting near the landing doors 18a-18c by performing face recognition processing on the captured image, and identifies the users. Then, the image analysis unit 22a recognizes the emotions of each user. For example, the image analysis unit 22a extracts facial features from the captured image, recognizes facial expressions from the facial features, and recognizes emotions from the facial expressions. In the embodiment, the image analysis unit 22a recognizes at least the anger of the user. Here, the image analysis unit 22a may perform emotion recognition based on an emotion recognition model constructed by having a deep learning model such as CNN learn the relationship between the facial features and the facial expressions. In addition, the image analysis unit 22a may recognize each emotion of joy, anger, sadness, and happiness by distinguishing them from each other, or may classify each emotion of joy, anger, sadness, and happiness into positive emotions and negative emotions. Specifically, the image analysis unit 22a may classify and recognize emotions of joy and enjoyment as positive emotions, and emotions of anger and sadness as negative emotions. Furthermore, the image analysis unit 22a may be configured to recognize the degree of each emotion as a numerical value, for example, based on the relationship between facial features and facial expressions.
[0025] The image analysis unit 22a also estimates which floors each user has moved from, based on the user identification results obtained by analyzing the images captured by the cameras 17a-17c between the multiple floors. Specifically, the image analysis unit 22a identifies the floors where each user boarded the car and the floors where each user disembarked from the car, based on the images captured at the multiple floors. The image analysis unit 22a then associates the departure floor and destination floor of each user with the ID of the identified user.
[0026] Fig. 3 is a diagram showing an example of the image analysis result by the image analysis unit 22a. As shown in Fig. 3, the image analysis result includes fields for storing information on "date", "time period", "user ID", "departure floor", "destination floor", and "emotion".
[0027] "Date" is the date on which the captured image was taken. "Time period" is the time period when the captured image was taken. The time period may be determined in units of time, such as every hour of each day or every day, or may be determined in units of morning, afternoon, evening, and night of each day. Instead of or in addition to the time period, the image analysis result may have a field for storing information on the actual time when the captured image was obtained.
[0028] "User ID" is a unique ID given to each individual user recognized from a captured image. The same user ID is assigned to each individual user.
[0029] The "departure floor" is the floor where the user with the corresponding user ID boarded the elevator during the corresponding time period. The "destination floor" is the floor where the user with the corresponding user ID disembarked during the corresponding time period.
[0030] "Emotion" is the emotion of the user with the corresponding user ID during the corresponding time period. FIG. 3 shows an example in which either "Anger" indicating the emotion of anger or "-" indicating no emotion of anger is stored. As described above, emotions other than anger may also be stored separately as emotion information. Furthermore, when the degree of emotion is recognized as a numerical value, information indicating the type of emotion and its degree may be stored in "Emotion".
[0031] Here, the image analysis unit 22a may perform a similar image analysis on the images captured by the cameras 14a-14c instead of or in addition to the images captured by the cameras 17a-17c. In one example, the image analysis unit 22a performs both the determination of the emotion of anger and the determination of the change of floors. These determinations may be performed by separate image analysis units.
[0032] The movement table creation unit 22b creates a movement table based on the image analysis result by the image analysis unit 22a. Then, the movement table creation unit 22b stores the movement table in the information storage unit 22c. FIG. 4 is a diagram showing an example of a movement table. The movement table is created, for example, for each time period. The movement table is a table created, for example, by taking the departure floor in the column direction and the destination floor in the row direction, in which the number of users with angry feelings who moved from the corresponding departure floor to the destination floor is stored in each field. The movement table creation unit 22b counts the number of users with angry feelings who have the same departure floor and destination floor in the same time period and stores it in the corresponding field. In the example of FIG. 4, it is shown that the number of users who moved from the 4th floor to the 1st floor and the number of users who moved from the 3rd floor to the 2nd floor were more angry. By accumulating such movement tables, it is possible to grasp the approximate tendency of users with angry feelings from which floor to which floor they were going to go for each time period.
[0033] Here, instead of storing each created transfer table in the information storage unit 22c, the transfer table creation unit 22b may store an average transfer table of transfer tables for the same time period created in the past in the information storage unit 22c.
[0034] In addition, the movement table may be created for each time period and for each day of the week. Alternatively, the movement table may be created separately for weekdays and holidays. For example, in an office building elevator, in the early morning of a weekday, there are many users from the reference floor, i.e., a floor that tends to have many users, such as one that is directly connected to the entrance of the building, and as a result, the number of users who have angry feelings tends to be large on the reference floor. On the other hand, such a tendency may not necessarily apply to holidays. By creating a movement table for each time period and for each day of the week or separately for weekdays and holidays, multiple types of movement tables with different tendencies are taken into consideration, and erroneous determination of priority, which will be described later, can be suppressed.
[0035] In addition, when each emotion of joy, anger, sadness, and happiness is recognized by the image analysis unit 22a, the movement table creation unit 22b may store the number of users who have each emotion of joy, anger, sadness, and happiness in each field. In addition, the movement table creation unit 22b may store the number of users who have positive emotions and negative emotions in each field. Furthermore, when the degree of each emotion is quantified by the image analysis unit 22a, the movement table creation unit 22b may weight the count of the number of people according to the numerical value representing each emotion. For example, the movement table creation unit 22b may create the movement table shown in FIG. 3 by dividing the numerical value of the emotion of anger into three stages, counting the number of users with high anger as 1, the number of users with medium anger as 0.67, and the number of users with low anger as 0.33.
[0036] The information storage unit 22c is composed of, for example, a storage device, and stores various information such as images captured by cameras 14a-14c, images captured by cameras 17a-17c, image analysis results created by image analysis unit 22a, and a movement table created by movement table creation unit 22b.
[0037] The priority determination unit 22d acquires a movement table for each time period from the information storage unit 22c, and determines the priority of the elevators 12a-12c for each time period based on the acquired movement table. For example, when a plurality of hall calls are registered, the priority determination unit 22d increases the priority of elevator allocation to floors where many users have angry feelings among the floors where hall calls are registered, and decreases the priority of elevator allocation to floors where few users have angry feelings. In addition, when no hall calls are registered, the priority determination unit 22d may increase the priority of elevator waiting at floors where many users have angry feelings, and decrease the priority of elevator waiting at floors where few users have angry feelings.
[0038] Here, when each emotion of joy, anger, sadness, and happiness is recognized by the image analysis unit 22a, the priority determination unit 22d may use emotions other than the emotion of anger to determine the priority. For example, the priority determination unit 22d may determine the final priority by reducing the priority determined based on the number of users having the emotion of anger according to the number of users having the emotion of joy. Alternatively, the priority determination unit 22d may determine the priority based on the ratio of the number of users having the emotion of anger to the number of users having the emotion of joy. Furthermore, the priority determination unit 22d may determine the priority based on the ratio of the number of users having the emotion of anger to the number of users having the emotion of joy.
[0039] Next, a description will be given of the operation of the elevator system 1. Fig. 5 is a flow chart showing the movement table creation operation of the user information management device 22. The movement table creation operation is performed at a predetermined time such as early in the morning or at night each day.
[0040] In step S1, the image analysis unit 22a acquires a captured image from, for example, the information storage unit 22c. Here, the image analysis unit 22a does not need to acquire a captured image that has already been used to create a movement table.
[0041] In step S2, the image analysis unit 22a performs image analysis on each of the acquired photographed images. Specifically, the image analysis unit 22a recognizes the faces of the users in each photographed image by face recognition processing on the photographed images, and recognizes at least the anger emotion of each recognized user. Furthermore, the image analysis unit 22a estimates which floors each user has moved from to which floors based on the user identification results by analyzing the photographed images obtained by the cameras 17a-17c between multiple floors. Then, the image analysis unit 22a creates an image analysis result by associating the photographed date, the photographed time period, the user ID, the departure floor, and the emotion. As described above, the image analysis unit 22a may perform image analysis on the photographed images obtained by the cameras 14a-14c.
[0042] In step S3, the image analysis unit 22a stores the generated image analysis results in the information storage unit 22c.
[0043] In step S4, the movement table creation unit 22b acquires the image analysis results for each time period from the information storage unit 22c, and creates a movement table based on the acquired image analysis results. For example, the movement table creation unit 22b counts the number of users who have angry feelings, ie, the number of floors from which each user moved to which floor. Then, the movement table creation unit 22b stores the counted number of users in the corresponding field of the movement table. Here, the movement table creation unit 22b may create an average movement table in which the average value of the number of users who moved is stored in each field.
[0044] In step S5, the transfer table creation unit 22b stores the transfer table created this time and / or the average transfer table created this time in the information storage unit 22c. After that, the process of FIG.
[0045] 6 is a flowchart showing the priority determination operation of the user information management device 22. The priority determination operation is performed periodically while the elevator system 1 is in operation.
[0046] In step S11, the priority determination unit 22d determines whether or not hall calls to multiple different floors are registered in the call memory unit 21. If it is determined in step S11 that multiple hall calls are registered in the call memory unit 21, the process proceeds to step S12. If it is determined in step S11 that multiple hall calls are not registered in the call memory unit 21, the process proceeds to step S16.
[0047] In step S12, the priority determination unit 22d determines whether the number of data in the movement table created for the current time period exceeds a predetermined threshold. If it is determined in step S12 that the number of data in the movement table created for the current time period exceeds the threshold, the process proceeds to step S13. If it is determined in step S12 that the number of data in the movement table created for the current time period does not exceed the threshold, the process returns to step S11. In this case, the priority determination unit 22d does not notify the operation control unit 23 of the priority. Therefore, the operation control unit 23 performs general group management control.
[0048] In step S13, the priority determination unit 22d acquires a transfer table for the current time period from the information storage unit 22c. The priority determination unit 22d may acquire all transfer tables created in the past for the current time period, may acquire some of the past transfer tables, or may acquire an average transfer table.
[0049] In step S14, the priority determination unit 22d determines the allocation priority based on the acquired movement table. The allocation priority is a priority indicating which floor hall call is to be given priority in car allocation among multiple hall calls. An example of a method for determining the allocation priority will be described below.
[0050] Fig. 7 is a diagram for explaining an example of a method for determining allocation priority. Fig. 7 shows a movement table for a certain time period. Here, the number of people in each field in Fig. 7 is the average of the number of people moving in multiple past movement tables. The priority determination unit 22d may obtain multiple past movement tables from the information storage unit 22c, and create an average movement table from the obtained multiple movement tables.
[0051] In one example of the allocation priority determination, the priority determination unit 22d calculates the total number of users who have angry feelings on each departure floor. This total is the "total" shown in Fig. 7. For example, in Fig. 7, the total number of users who have angry feelings and whose departure floor is the 7th floor is 1+1+0+6+7+7+2+6+0=30 (people).
[0052] When the number of data of the movement table created for the same time period exceeds the threshold, it can be said that the average movement table shows an approximate tendency of how many angry users are present at each departure floor during that time period. From this, it can be considered that the tendency of the number of angry users during the current time period is similar to that of the average movement table. Therefore, the priority determination unit 22d increases the priority of car allocation to floors where the number of angry users is large among floors where hall calls are registered. In the example of FIG. 7, when hall calls are registered on the 7th floor and the 1st floor, the priority determination unit 22d increases the priority of car allocation to the 7th floor over the priority of car allocation to the 1st floor.
[0053] In the example of Fig. 7, the departure floor with the largest number of angry users is floor 7. On the other hand, if no hall call is registered on floor 7, the priority determination unit 22d does not consider floor 7 as a target for determining the priority of car allocation.
[0054] Furthermore, the priority determination unit 22d may adjust the priority according to the number of users who have the emotion of joy. For example, when there are three users who have the emotion of joy on the seventh floor, the priority determination unit 22d may adjust the priority by setting the "total" value to 30-3=27 (people). The priority determination unit 22d may directly adjust the priority value to a lower value according to the number of users who have the emotion of joy.
[0055] Furthermore, the priority determination unit 22d may weight the priority according to the number of angry users. That is, the weight for the priority of the elevator car allocation to a floor where the number of angry users is large may be increased, and the weight for the priority of the elevator car allocation to a floor where the number of angry users is small may be decreased.
[0056] In step S15, the priority determination unit 22d notifies the operation control unit 23 of the allocation priority. After that, the processing of FIG. 6 ends. The operation control unit 23 performs group management control of the operation of the elevator car including the allocation priority notified by the priority determination unit 22d. For this reason, the elevator car is more likely to arrive preferentially at a floor where the number of angry users is large among floors where hall calls are registered. Here, the degree of consideration of the allocation priority notified by the priority determination unit 22d in the group management control in the operation control unit 23 may be given as a weight. For example, if the number of angry users is large during a time period, the weight of the consideration of the allocation priority may be increased, and if the number of angry users is small during a time period, the weight of the consideration of the allocation priority may be decreased.
[0057] In step S16, when it is determined that multiple hall calls are not registered, the priority determination unit 22d determines whether the number of data in the transfer table created for the current time period exceeds a predetermined threshold. In step S16, when it is determined that the number of data in the transfer table created for the current time period exceeds the threshold, the process proceeds to step S17. In step S16, when it is determined that the number of data in the transfer table created for the current time period does not exceed the threshold, the process returns to step S11. In this case, the priority determination unit 22d does not notify the operation control unit 23 of the priority. Therefore, the operation control unit 23 performs general group management control.
[0058] In step S17, the priority determination unit 22d acquires a transfer table for the current time period from the information storage unit 22c. The priority determination unit 22d may acquire all transfer tables created in the past for the current time period, may acquire some of the past transfer tables, or may acquire an average transfer table.
[0059] In step S18, the priority determination unit 22d determines the waiting priority based on the acquired movement table. The waiting priority is a priority indicating at which floor the car is to be kept waiting in advance. An example of a method for determining the waiting priority will be described below.
[0060] Fig. 8 is a diagram for explaining an example of a waiting priority determination method. Fig. 8 shows a movement table for an early morning time period. Here, the number of people in each field in Fig. 8 is the average of the number of people moving in a plurality of past movement tables. The priority determination unit 22d may obtain a plurality of past movement tables from the information storage unit 22c, and create an average movement table from the obtained plurality of movement tables.
[0061] In one example of the waiting priority determination, the priority determination unit 22d calculates the total number of users who have angry feelings on each departure floor. As shown in Fig. 8, since there are many users on the first floor, which is the reference floor, in the early morning hours, the number of users who have angry feelings tends to be the highest on the first floor.
[0062] Unlike the allocation priority, in the case of the waiting priority, the priority determination unit 22d increases the waiting priority of the car to the floor where the number of angry users is large. In the example of Fig. 8, the waiting priority of the car to the 1st floor is set to the highest.
[0063] As with the allocation priority, the priority determination unit 22d may adjust the priority according to the number of users who have the emotion of joy. Also, the priority determination unit 22d may weight the priority according to the number of users who have the emotion of anger.
[0064] In step S19, the priority determination unit 22d notifies the operation control unit 23 of the standby priority. After that, the processing of FIG. 6 ends. The operation control unit 23 performs group management control of the operation of the elevator car including the standby priority notified by the priority determination unit 22d. For this reason, it becomes easier to perform control to have the elevator car wait in advance with priority at a floor where the number of angry users is expected to be large. Here, the degree of consideration of the allocation priority notified by the priority determination unit 22d in the group management control in the operation control unit 23 may be given as a weight. For example, if the number of angry users is large during a time period, the weight of the consideration of the allocation priority may be increased, and if the number of angry users is small during a time period, the weight of the consideration of the allocation priority may be decreased.
[0065] As described above, according to the embodiment, a movement table is created for each time period, which shows which floors angry users have moved from to which floors. Then, based on the movement table for each time period, the priority of car allocation and waiting priority of cars are determined when multiple hall calls are registered. It is expected that the elevator system can be controlled in consideration of the emotions of users for each time period by group management control that takes such priorities into account.
[0066] In addition, in the embodiment, if the number of data in the travel table created for each time period does not exceed the threshold, the priority is not determined. This can prevent group management control based on the priority determined based on an inaccurate travel table.
[0067] (Modification) A modified example of the embodiment will be described below. In the embodiment, for example, an average movement table is used in determining the priority. In contrast, as described above, there is a certain tendency in the number of angry users present at each departure floor for each time period. Therefore, the movement table creation unit 22b may be configured to have a machine learning model that inputs time period information and outputs a movement table. Learning is performed by inputting past movement tables as training data into this machine learning model. Then, the movement table creation unit 22b may input time period information into this trained model to create the current movement table of step S13 or step S17.
[0068] In addition, in the embodiment, the total number of angry users at each departure floor is used to determine the priority. The travel table does not necessarily have to have information on the destination floor. On the other hand, it goes without saying that the destination floor information may be taken into consideration in determining the priority. For example, in the travel table, a field with a large number of people indicates that a large number of users are traveling to that destination floor, meaning that there is high demand from users. Therefore, such a field with a large number of people may be weighted and counted more than usual when calculating the total.
[0069] In the embodiment, the emotion is determined based on the facial expression of the user detected from the captured image obtained by the camera 14a-14c or 17a-17c. The emotion may be determined by any method. For example, the emotion may be determined by detecting a specific behavior of the user that indicates the emotion of anger detected from the captured image obtained by the camera 14a-14c or 17a-17c. The specific behavior that indicates the emotion of anger may be a predetermined gesture of the user, such as stomping one's feet or folding one's arms. The emotion may be determined based on the voice of the user collected by a microphone installed in the elevator hall 15 or the car 12a-12c. Furthermore, the emotion may be determined based on the brain wave pattern of the user collected by an brain wave sensor installed in the elevator hall 15 or the car 12a-12c.
[0070] Although several embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope and spirit of the invention, and are included in the scope of the invention and its equivalents described in the claims. [Explanation of symbols]
[0071] 1... elevator system, 11a, 11b, 11c... elevator control device, 12a, 12b, 12c... car, 13a, 13b, 13c, 14a, 14b, 14c... camera, 15... elevator hall, 16... call registration device, 17a, 17b, 17c... camera, 18a, 18b, 18c... landing door, 20... group management control device, 21... call memory unit, 22... user information management device, 22a... image analysis unit, 22b... movement table creation unit, 22c... information storage unit, 22d... priority determination unit, 23... operation control unit, 30... server.
Claims
1. A first analysis unit that analyzes information related to elevator users and determines which of the elevator users have at least an angry emotion; a second analysis unit that analyzes information related to a user of the elevator to determine a departure floor at which the user boarded the elevator car and a destination floor at which the user exited the elevator car; a movement table creation unit that creates a movement table for each time period in which the number of users who have at least an angry feeling is tallied for each correspondence between the departure floor and the destination floor; A priority determination unit that determines the priority of the elevator for each time period based on the movement table for each time period; An operation control unit that performs group management control of the operation of the elevator based on the priority; A control device for an elevator system comprising:
2. The information related to the elevator user is an image taken by a camera installed at the elevator hall or in the elevator car, The first analysis unit determines whether the user has at least an angry emotion based on a facial expression of the user in an image captured by the camera. The control device for an elevator system according to claim 1 .
3. The information related to the elevator user is an image taken by a camera installed at the elevator hall or in the elevator car, The first analysis unit detects a specific gesture of the user in the image captured by the camera, and thereby determines whether the user has at least an angry emotion. The control device for an elevator system according to claim 1 .
4. The information related to the elevator user is a voice of the user, The first analysis unit determines, based on the voice, that the user has at least an angry emotion. The control device for an elevator system according to claim 1 .
5. The information related to the elevator user is an image taken by a camera installed at the elevator hall or in the elevator car, The second analysis unit determines a departure floor and a destination floor of each of the users based on images of the cameras on multiple floors in which the same user is photographed. The control device for an elevator system according to claim 1 .
6. the priority determination unit, when a plurality of hall calls are registered, acquires the movement table for the time period in which the plurality of hall calls are registered, and based on the acquired movement table, increases the priority of the allocation of the elevator to a departure floor in which a large number of people have the emotion of anger among the departure floors in which a plurality of hall calls are registered. The control device for an elevator system according to claim 1 .
7. The priority determination unit acquires the movement table for the current time period, and based on the acquired movement table, increases the waiting priority of the elevator for a departure floor where a large number of people have the anger emotion. The control device for an elevator system according to claim 1 .
8. the priority determination unit does not perform the priority determination when the number of data in the movement table created for the time period used for determining the priority is equal to or less than a threshold value; The control device for an elevator system according to claim 1 .
9. The first analysis unit further determines the user having an emotion of joy, The movement table creation unit further counts the number of users who have the emotion of joy for each correspondence between the departure floor and the destination floor, The priority determination unit further determines a priority of the elevator car allocation based on the number of users who have the emotion of joy. The control device for an elevator system according to claim 1 .
Citation Information
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