WO2019087251A1

WO2019087251A1 - Elevator usage log output system, and elevator usage log output method

Info

Publication number: WO2019087251A1
Application number: PCT/JP2017/039131
Authority: WO
Inventors: 貴大羽鳥; 正康藤原; 章小町; 孝道星野; 訓鳥谷部; 加藤　学; 藤野　篤哉; 渉鳥海
Original assignee: 株式会社日立製作所
Priority date: 2017-10-30
Filing date: 2017-10-30
Publication date: 2019-05-09
Also published as: CN111212802B; CN111212802A; JP7005648B2; JPWO2019087251A1

Abstract

The present invention provides an elevator usage log output system that can accurately understand movement information of users, and an elevator usage log output method. ID information and distinguishing information for distinguishing a user are set and assigned to each passenger Pa-Pd on the basis of an image from a camera 17 that photographs an elevator landing, or from a camera 20 that photographs the inside of an elevator car, the movement of users Pa-Pd is traced on the basis of this distinguishing information and ID information, and at least the boarding floor and disembarking floor of the users are associated and stored, and movement information of users is accurately understood. As a result, movement information of a user can be accurately understood, and therefore, for example, the accuracy of advance simulations for group management control can be improved.

Description

Elevator usage log output system and elevator usage log output method

The present invention relates to an elevator usage log output system for accurately grasping movement information of a user using an elevator, and an elevator usage log output method.

For relatively large-scale buildings, we have installed multiple elevators to improve the user transport capacity by elevator, and introduced a system to select and serve the most suitable car at the time of call registration at the platform. . Furthermore, as the scale of the building becomes larger, the number of elevators provided side by side increases, and these group elevators are appropriately controlled by the group management control device to improve services such as waiting time for users. ing.

In an elevator using such a group management control device, in order to control each elevator appropriately, the user's behavior or the like is measured to control the elevator. For example, in JP 2010-254391 (PT 1), JP 2003-221174 (PT 2), JP 2006-21852 (PT 3), etc., the following systems are available. Proposed.

In the elevator system shown in Patent Document 1, a detector for detecting an event drawn in around the landing door is provided, and a history recording unit for recording the event drawn in by the detector is provided. Then, a detection number counting unit for counting the number of detected events by the history recording unit is provided, and the opening / closing of the landing door is controlled based on the number of detected events in a predetermined period. According to this, it is possible to prevent in advance the pinched event to the landing door and the drawn event to the door pocket.

Further, in the elevator system disclosed in Patent Document 2, a surveillance camera is provided in a car, and a camera image is transmitted to an elevator maintenance company at a predetermined time to confirm a user. According to this, it is possible to easily confirm the last leaving of the building and the night entering from the distant place, and it is possible to improve the security function of the building.

Furthermore, in the elevator system shown in Patent Document 3, a video recording means for recording a video in a car taken by a surveillance camera is provided, and when a signal regarding an event with a high possibility of crime is received, the reception time The image in the car of the predetermined time zone recorded in the image recording means is stored together with the data and the identification data representing each event. According to this, the recording capacity of the video in the car can be reduced, and the video at the time of occurrence of the event can be searched quickly.

Unexamined-Japanese-Patent No. 2010-254391 JP 2003-221174 A Unexamined-Japanese-Patent No. 2006-21852

By the way, in an elevator equipped with this kind of group management control device, in order to operate the elevator efficiently, it is often required to perform simulated operation by simulation in advance. For this purpose, it is necessary to accurately grasp the user's movement information (moving upward or downward of the building, the number of users, boarding number, waiting time, departure floor, arrival floor, etc.) There is. As described above, if the movement information of the user can be accurately grasped, accurate parameter data required for the simulation in advance for performing group management control can be obtained, so that the accuracy of the simulation can be improved. Therefore, in the group management control apparatus, it is strongly demanded that the user's movement information be accurately grasped.

An object of the present invention is to provide an elevator usage log output system capable of accurately grasping movement information of a user, and an elevator usage log output method.

The feature of the present invention is to set and give discrimination information and ID information for discriminating the user to each of the users from the image of the hall camera that photographs the elevator hall or the camera in the car that photographs the inside of the car The movement of the user is traced based on the discrimination information and the ID information, and at least the user's boarding floor and the getting-off floor are linked and stored, and the user's movement information is grasped.

According to the present invention, since movement information of the user can be accurately grasped, for example, accurate parameter data required for a previous simulation for performing group management control can be obtained, so that the simulation accuracy can be improved.

BRIEF DESCRIPTION OF THE DRAWINGS It is a block diagram which shows the outline of the elevator operation control system which becomes the 1st Embodiment of this invention, and a monitoring camera control system. It is the external view which looked at the landing from diagonally upper. It is an explanatory view showing the user detection range set up for every boarding number machine. It is an explanatory view explaining movement of the user of the boarding board from the fourth floor to the first floor. It is explanatory drawing which illustrates a user's movement and which shows the landing of the 5th floor before a user board | plates a boarding board. It is explanatory drawing which illustrates a user's movement, and shows the landing on the 5th floor after a user boarded in a boarding number machine. It is explanatory drawing which illustrates a user's movement and which shows the boarding point of the 7th floor which one user got off. It is explanatory drawing which illustrates a user's movement, and shows the landing of the 8th floor where two users got off. It is an explanatory view for explaining the movement of the user, and showing the landing on the 9th floor where one user got off. It is an explanatory view showing the landing on the ninth floor before one new user gets on. It is a flowchart explaining the method of acquiring the movement information of the user of the elevator which becomes embodiment of this invention. It is a detailed control flow of control step S12 shown in FIG. It is a detailed control flow of control step S13 shown in FIG. It is a detailed control flow of control step S20 shown in FIG. It is a figure which shows the concrete data of the log output performed by control step S19 shown in FIG. It is a figure which shows the other concrete data of the log output performed by control step S19 shown in FIG.

Next, embodiments of the present invention will be described in detail with reference to the drawings. However, the present invention is not limited to the following embodiments, and various modifications and applications may be made within the technical concept of the present invention. Is included in the range.

FIG. 1 is a block diagram showing an outline of a group management controlled elevator according to a first embodiment of the present invention.

The elevator operation management system 10 functioning as a group management control device is connected to boarding elevator control systems 11A to 11N that control boarding machines of a plurality of elevators, and the boarding elevator control systems 11A to 11N operate elevators It has a function of receiving a control command from the management system 10 and actually operating the boarding number. For example, it controls the electric motor of the hoisting machine of the boarding machine, the brake mechanism of the hoisting machine, the door opening and closing electric motor and the like.

The elevator operation management system 10 is connected to the hall elevator service request device 13, the building management system 14, the public organization management system 15, and the monitoring camera control system 16 via the communication network 12. The landing elevator service request device 13, the building management system 14, and the public organization management system 15 are not related to the present embodiment, and thus detailed description will be omitted. Moreover, the system configuration shown in FIG. 1 is operated as a private system built for each building or for each of a plurality of buildings.

The elevator operation management system 10 according to the present embodiment includes a learning unit 10A, a receiving unit 10B, a floor-by-floor number evaluation unit 10C, a general evaluation unit 10D, and an allocation command unit 10E, each of which is a computer. It can be realized as a control function.

The reception unit 10B is connected to the communication network 12, and various related information from the monitoring camera control system 16 is input. The received various pieces of related information are sent to the learning unit 10A, and learning of the various pieces of related information is performed by executing rewriting processing and the like.

Further, the received various types of related information are sent to the floor-by-floor number-of-people evaluation unit 10C, where predetermined evaluation calculation processing is executed. The evaluation calculation result is sent to the total evaluation unit 10D, and the total evaluation calculation is executed together with other evaluation calculation parameters. The operation assignment information of the boarding machine calculated by the general evaluation unit 10D is sent to the allocation command unit 10E, and the allocation command unit 10E transmits a control command to the corresponding boarding machine elevator system 11A to 11N, and the boarding machine elevator system Have 11A to 11N execute a predetermined function.

On the other hand, the monitoring camera control system 16 which is a feature of the present embodiment is an image input processing unit 16A of a monitoring camera, a detection range setting processing unit 16B, a user detection processing unit 16C, an ID setting processing unit 16D, and users by floor. A detection processing unit 16E, a movement information output processing unit 16F, and a log output processing unit 16G can also be realized as a control function of a computer.

The detection range setting processing unit 16B has a function of setting the user detection range of the user detected by the following user detection processing unit 16C, and can set the user detection range in an arbitrary range. For example, a semicircular detection range of a predetermined radius can be set or a rectangular detection range can be set in front of the landing door on the front of the boarding board of the landing.

The user detection processing unit 16C obtains an image feature amount for detecting a person (= user) from the image captured by the monitoring camera input to the image input processing unit 16A, and uses the feature amount to determine the user. It has a function to identify and extract. Alternatively, it has a function of identifying and extracting a user by comparing a head image or an overall image model of a person with a captured image.

In any case, the user detection processing unit 16C has a function of specifying and extracting the user from the image captured by the monitoring camera. In addition, the user detection processing unit 16C has a function of storing discrimination information of the detected individual user, for example, an image feature amount of the individual user. This makes it possible to identify and identify the user who has moved to another floor. In the following, the image feature amount for determining the user is described as the determination information. However, information other than the image feature amount that identifies the user is handled as the determination information.

The ID setting processing unit 16D has a function of setting and giving ID information to all the users detected by the user detection processing unit 16C. For example, if identification information of a user's face or body is associated with ID information, ID information can be traced by image analysis of the user. The identification information and the ID information of individual users can be linked by other methods. In addition, it is desirable to encrypt individual user identification information, ID information, etc. in order to ensure confidentiality.

Furthermore, the condition for releasing the user and the ID linked can be set. In these cases, the release condition may change depending on a value fixed when the system is stored or a communication request of a system that cooperates with various types. In order to associate the user with the ID, it is necessary to store the feature points of the user in the computer, and therefore it is necessary to consider the confidentiality more in the usage scene of the system.

The floor-based user detection processing unit 16E detects the movement information of each user based on the identification information and the ID information of the user for each floor. The movement information of the user detected here is, for example, the generation time of the ID information and its floor, the boarding number of the passenger, the boarding time of the user and its floor, based on the identification information of the user and the ID information Departure time of the person and its floor.

Acquisition of such movement information is possible by setting and giving discrimination information and ID information by image analysis of the user, which can be traced by a surveillance camera on each floor or a surveillance camera in a car, This makes it possible to accurately obtain the user's movement information described above.

The movement information output processing unit 16F has a function of storing the user movement information for each floor obtained by the floor-based user detection processing unit 16E in a separately provided rewritable storage area so as to be able to log output. Have.

The log output processing unit 16G has a function of outputting a log of the movement information of the user stored in the movement information output processing unit 16F. Therefore, user's movement information that is output as a log can be effectively used as parameter data of a simulation in advance for performing group management control.

Next, details of the monitoring camera control system 16 which is a feature of the present embodiment will be described with reference to FIGS. FIGS. 2 to 5 are views for explaining the concept of the present embodiment, and FIGS. 6 to 11 are views for explaining the specific embodiments.

In FIG. 2, the landing of a certain floor (for example, the fourth floor) is shown, and the landing surveillance camera 17 is installed at an arbitrary position of the landing. The landing surveillance camera 17 is a wide-angle camera capable of photographing the entire landing. In addition, four elevators are installed at this landing, and boarding machines 4A to 4D are operated respectively.

It goes without saying that the landing surveillance camera 17 is disposed on each floor other than this floor. The landing surveillance camera 17 on each floor is configured as a network camera, and is comprehensively managed and controlled by the surveillance camera control system 16, whereby tracing of the user is enabled. At the landing, a user stands by in front of a boarding machine 4B operated upward and a boarding machine 4D operated downward. In the boarding machine 4B, four users Pdn going downwards stand by, and in the boarding machine 4D, six users Pup going upwards stand by.

FIG. 3 shows a user detection range where image analysis is performed to detect a user for each boarding number. In front of the landing doors 18A to 18D of the boarding machines 4A to 4D, the user detection ranges 19A to 19D are set in a semicircular shape having a predetermined radius centering around the center of each of the landing doors 18A to 18D. Therefore, user detection ranges 19A to 19D are set for each of the boarding vehicles 4A to 4D.

Since the user stands by at the boarding board 4B and the boarding board 4D at present, it is possible to detect the user present in the user detection range 19B and the user detection range 19D by image analysis. The setting of the user detection range can be arbitrarily set by the image input processing unit 16A and the detection range setting processing unit 16B, and may be set to a rectangular shape or any other shape besides this, in addition to the semicircular shape. Is also possible.

For all users detected in the user detection range, image feature points that are identification information of the user are extracted by image analysis, and ID numbers are set so that they can be linked to the image feature points of this individual user , Will be granted. Therefore, if there is a user whose image feature point of the user photographed by another landing surveillance camera 17 matches, the movement trajectory of the user can be estimated from the ID number.

Here, with respect to the user Pdn-1 located in the overlapping area where the adjacent user detection areas 19A to 19D overlap, it is not possible to determine which user detection area belongs to. In this case, the user detection range and the boarding board can be determined from the posture and direction in which the user is facing by extracting feature points such as the user's face and shoulders by image analysis. Alternatively, since the moving trajectory of the user can be estimated from the temporal change of the image, the user detection range and its boarding car can be determined by determining to which boarding board the vehicle has moved.

In addition, even when waiting for an elevator, elevator position coordinates are set in advance, or an elevator door is detected by an image captured from a landing, and the position coordinates are automatically set, and the position coordinates of the elevator are described above. As described above, it is possible to determine to which elevator position coordinate the user is facing based on the detected attitude and direction of the user, and to determine to which board the passenger is waiting.

Therefore, in FIG. 3, the user Pdn-1 is detected in the user detection range 19D as a user who gets on the boarding vehicle 5D. The user detection range can be determined by the same process even in the overlapping area of other user detection ranges. As a matter of course, it is needless to say that the user existing in the overlapping area is also set and given an ID number linked to the image feature point which is the discrimination information.

In such a state, it is possible to acquire movement information such as an image feature point which is identification information of an individual user, an ID number, a time when the ID number is given, a boarding floor, a boarding machine and the like. Furthermore, when the user disappears from the user detection range, the boarding time information can be acquired as the time when the user boarded the corresponding boarding number.

FIG. 4 shows the moving state of the user who gets on the boarding vehicle 4B shown in FIG. 3 and moves downward. Hall surveillance cameras 17-4 to 17-1 are installed on each floor, and the image information of each hall surveillance camera 17 is sent to the surveillance camera control system 16 to be comprehensively managed and controlled. Incidentally, "n" of reference numeral 17-n of the surveillance camera means a floor number. Similarly, the in-car monitoring camera 20 is installed in the car 21 of the boarding car 4B, and the image information of the in-car monitoring camera 20 is also sent to the monitoring camera control system 16 and comprehensively managed and controlled.

Next, the moving state of the user will be described based on FIGS. 5A to 5E, but FIGS. 5A to 5E show the case where the car 21 moves upward, contrary to FIG.

First, the user waiting on the fifth floor waits for the arrival of the boarding vehicle 4B as shown in FIG. 5A. In this case, there are four users Pa to Pd. Therefore, by analyzing the image from the landing surveillance camera 17-5 at this time, discrimination information of individual users Pa to Pd in the user detection range 19B is extracted. Further, an ID number is set and assigned so as to be linked to the discrimination information of the users Pa to Pd, and at the same time, the set time of the ID number is measured and stored. Then, when the boarding number machine 4B arrives, as shown in FIG. 5B, the users Pa to Pd board the boarding number machine 4B. At this time, when the users Pa to Pd disappear from the user detection range 19B, it is determined that the users Pa to Pd have got on the boarding machine 4B, and the boarding floor and the boarding time are measured and stored.

When the users Pa-Pd get on the boarding board 4B, the in-car monitoring camera 20 of the car 4B sends the images of the users Pa-Pd to the monitoring camera control system 16, and from this image, the users Pa-Pd Discrimination information is obtained and compared with the discrimination information of the user sent from the landing surveillance camera 17-5. If the comparison result is the same, it is recognized that all the passengers Pa to Pd of the hall have taken the boarding vehicle 4B. On the other hand, if the comparison result is different, it is recognized that some of the users who do not match move using the stairs or the like.

Next, when the boarding number 4B ascends and stops on the seventh floor, as shown in FIG. 5C, the user Pd gets off, but the image of the user Pd is displayed on the surveillance camera control system 16 by the landing surveillance camera 17-7. The identification information of the user Pd is sent from this image, and compared with the identification information of the user Pd of the image sent from the landing surveillance camera 17-5. If the comparison result is the same, it is recognized that the user Pd has got off on the seventh floor, and the getting off floor, the getting off time, etc. are stored.

Since the user Pd disappears also from the image of the in-car monitoring camera 20 of the car 4B, it can be recognized that the user Pd gets off on the seventh floor. Therefore, the accuracy of the user's recognition can be improved by comparing the discrimination information by the landing surveillance camera 17-7 with the discrimination information by the in-car surveillance camera 20 of the car. Of course, it is needless to say that the accuracy of recognition can be improved by executing the same process on the following floors.

Next, when the boarding number 4B ascends and stops on the eighth floor, as shown in FIG. 5D, the users Pa and Pb get off, but the image of the users Pa and Pb is monitored by the landing surveillance camera 17-8. Discrimination information of the users Pa and Pb is sent to the control system 16 from this image, and compared with discrimination information of the users Pa and Pb of the image sent from the landing surveillance camera 17-5. If the comparison result is the same, it is assumed that the users Pa and Pb get off on the eighth floor, the getting off floor, the getting off time, and the like are stored. Since the users Pa and Pb also disappear from the image of the in-car monitoring camera 20 of the car 4B, it can be recognized that the users Pa and Pb have dismounted on the eighth floor.

Next, when the boarding number 4B ascends and stops on the ninth floor, the user Pc gets off as shown in FIG. 5E, but the image of the user Pc is displayed on the surveillance camera control system 16 by the landing surveillance camera 17-9. The identification information of the user Pc is sent from this image, and is compared with the identification information of the user Pc of the image sent from the landing surveillance camera 17-5. If the comparison result is the same, it is assumed that the user Pc gets off on the ninth floor, the getting off floor, the getting off time, and the like are stored. In addition, since the user Pc disappears also from the image of the in-car monitoring camera 20 of the car 4B, it can be recognized that the user Pc gets off on the ninth floor.

Next, when the user Pe heading downwards newly appears at the landing on the 9th floor, as shown in FIG. 5F, the user Pe exists in the user detection range 19C and extracts the discrimination information of the user Pe. The ID information is set and assigned, and at the same time, the set time of the ID number is measured and stored. After this, the movement of the user Pe is traced to acquire movement information.

Based on such a concept, a specific embodiment will now be described. FIG. 6 is a flowchart showing a computer-based control flow of the above-described process performed by the monitoring camera control system 10. This control flow is started at the start timing of each predetermined time.

«Step S10»
In step S10, a user detection range setting process is performed, and user detection ranges 19A to 19D as shown in FIG. 3 are set based on the input landing image. Then, from the images in the user detection ranges 19A to 19D, the extraction of the user for each boarding vehicle is performed in the following step S11. When the user detection range setting process is completed, the process proceeds to step S11.

<< step S11 >>
In step S11, the user detection process is executed, the images in the user detection ranges 19A to 19D set in step S10 are analyzed, and the extraction of individual users for each boarding board is executed. It is In the extraction of individual users, an image feature amount for extracting a user is obtained from an image captured by the landing surveillance camera 17, and an individual user is specified and extracted from the feature amount. Since this feature quantity is used as discrimination information of individual users, it is configured to be stored in a storage area (not shown).

Here, when the image in the user detection range 19A to 19D is analyzed, if the user exists in the overlapping area where the user detection range overlaps, the user detection range is set as the user. There are times when it can not be judged. Therefore, when the user detection process ends, the process proceeds to step S12, and the setting process of the user present in the overlapping area is performed.

<< step S12 >>
In step S12, resetting of the user detection range of the user present in the overlapping area, here, processing called human vector detection is performed. This processing is to determine and reset which user detection range the user Pdn-1 (refer to FIG. 3) present in the overlapping area belongs to, and the image analysis allows the user's face, shoulder, etc. The user detection range and its boarding car can be determined from the direction and posture in which the user is facing by extracting the feature points of. In addition, since the movement locus of the user Pdn-1 can be estimated from the temporal change of the image, the user detection range and the boarding vehicle can be determined by determining which boarding vehicle has moved to. can do. As described above, the user detection range of the user present in the overlapping area can be set based on at least one piece of information on the posture and direction of the user, or the movement trajectory. The human vector detection process will be described in detail with reference to FIG. When the human vector detection process is completed, the process proceeds to step S13.

<< step S13 >>
In step S13, ID numbers are set and assigned to the individual discrimination information of all the users extracted in steps S11 and S12. By linking identification information including feature amounts of the user's face and body with ID information, it is possible to trace ID information of the moving user by image analysis of the user. In step S13, the ID number associated with the identification information of the individual user is stored.

For example, an ID number of "0001" is set to the user Pa as shown in FIG. 4, an ID number of "0002" is set to the user Pb, and an ID number of "0003" to the user Pc. The user Pd can be set and the ID number "0004" can be set. Therefore, for example, when the user Pa moves from a certain departure floor to a different arrival floor, the discrimination information of the user Pa is acquired in the departure floor, so the image of the user Pa in the arrival floor If the same discrimination information is obtained in the analysis, the user Pa can be traced by the ID number "0001". The ID assignment process will be described in detail with reference to FIG.

The identification information and the ID information of individual users can be linked by other methods. In addition, it is desirable to encrypt individual user identification information, ID information, etc. in order to ensure confidentiality. When the ID number assignment process is completed, the process proceeds to step S14.

<< step S14 >>
In step S14, an individual user reaches the landing user detection range, sets an ID number, and stores the assigned time (occurrence time). For this reason, the occurrence time is different for each ID number, and for example, it is possible to acquire the departure time distribution of the user for each floor and the like.

<< step S15 >>
In step S15, it is detected whether or not the user has got in the boarding number which has arrived. As this detection method, it can be detected based on the disappearance of the user from the image. That is, when the user disappears from the user detection range, it is determined that the user has got on the boarding number. Of course, in this case as well, since the identification information of the user and the ID information are acquired, it is possible to obtain the individual user's boarding information.

Further, instead of judging from the image of the landing surveillance camera 17, it is also possible to obtain the user's boarding information from the image of the in-car surveillance camera 20 provided in the car 21. As described above, since the identification information of the user by the landing surveillance camera 17 and the ID number are acquired, the use by using the standby at the landing by comparing with the identification information of the user by the image of the in-car surveillance camera 20 It can be determined whether a person has boarded. When the detection processing of the passenger is completed, the process proceeds to step S16.

<< step S16 >>
In step S16, the time (boarding time) when the user boarded the boarding number is stored. Also in this case, since the identification information of the user and the ID number are acquired, as shown in step S15, it is possible to acquire the time when the user has boarded from the boarding information detected for each user. When the boarding time is acquired, the process proceeds to step S17.

<< step S17 >>
In step S17, when the boarding number on which the user has boarded reaches a desired getting-off floor, the getting-off information of the user is detected. The user's getting off detection can be detected by the landing surveillance camera 17 on the arrival floor. That is, although the user alights on the arrival floor, the landing surveillance camera 17 on the arrival floor sends the image of the user to the surveillance camera control system 16. In the surveillance camera control system 16, the discrimination information of the user who got off is obtained from the sent image, and compared with the discrimination information of the user of the image sent from the landing surveillance camera 17 on the departure floor. If the comparison result is the same, it is recognized that the user getting on from the departure floor has got off, and the ID number, the getting off floor, etc. are stored. In addition, since the user disappears also from the image of the in-car monitoring camera 20, it can be estimated that the user has dismounted. When the detection processing of the getting-off user is completed, the process proceeds to step S18.

<< step S18 >>
In step S18, the time when the user got off the boarding machine (alighting time) is stored. Also in this case, since the identification information of the user and the ID number are acquired, as shown in step S17, it is possible to acquire the time when the user got off from the alighting information detected for each user. When the getting-off time is acquired, the process proceeds to step S19.

«Step S19»
In step S19, a log storage area in which the user's movement information can be rewritten so that the individual user's movement information (movement history) acquired by executing each control step described above can be log-outputted. It is memorized by. In this case, "user identification information", "ID number" associated with this, "occurrence time (set time)" of the ID number, and "occurrence floor number" where the ID number is generated, The "ride time" and "ride floor number" on which the passenger board was taken, and the "disembarking time" and "land floor number off" on which the passenger board got off are stored. In addition to the above, since information on the user detection range and the boarding car is also stored, it can be stored in the log storage area as needed. When the user movement information is stored in the rewritable log storage area, the process proceeds to step S20.

«Step S20»
In step S20, the ID number of the individual user and the determination information linked to it are released (erased), and only the substantial movement information of the user is left as a history. When step S20 is ended, the control flow of FIG. 6 is ended, and the process waits for the next start timing. As described above, since the movement information of the user can be accurately grasped, it is possible to improve the accuracy of the preliminary simulation for performing the group management control. The ID release process will be described in detail with reference to FIG.

Next, a specific example of step S12 shown in FIG. 6 will be described with reference to FIG. When step S11 shown in FIG. 6 is completed, steps S30 to S34 shown in FIG. 7 are executed, and the process returns to step S13 again.

«Step S30»
In step S30, it is determined from the image of the camera whether a user is newly detected at the landing. Since image analysis enables identification of individual users, when a new user appears on the landing for a user before the current time, this new user can be identified by extracting this. In step S30, if a new user is not extracted, the process goes to the end, and if a new user is extracted, the process proceeds to step S31.

<< step S31 >>
In step S31, as shown in FIG. 3, it is determined whether a new user Pdn-1 exists in the overlapping area of the user detection range 19D and the user detection range 19C. Then, if it is determined that a new user Pdn-1 exists in the overlapping area, the process proceeds to step S32, and if it is determined that a new user Pdn-1 does not exist in the overlapping area, step S33. Migrate to

«Step S32»
In step S32, the user detection range to which the new user belongs is determined by the human vector processing (step S12) shown in FIG. 6, and the boarding car is also determined. This is digitized as a position coordinate of the detected user and an angle based on an arbitrary direction with respect to the direction in which the user is facing. For example, in the case where the user Pdn-1 in FIG. 3 is taken as an example, in the layout viewed from above the landing plane, the angle is perpendicular to the upper side in the figure, and is 0 °. From there, it is detected from which elevator the user is facing which elevator it is facing.

For example, if simply 1 ° to 90 °, wait for Unit 1; if 91 ° to 180 °, wait for Unit 2; if 181 ° to 270 °, wait for Unit 3; 4 if 271 ° to 0 ° In the case of waiting for a car, or the position area of the elevator may be set, and the angle for detecting the waiting for each car may be changed according to the position coordinates of the user. In the case of the example of FIG. 3, when the direction of the user is detected and the user of the user Pdn-1 is 120 °, it is determined that the second unit is waiting.

Thus, the user detection range is reset by setting the waiting direction of each boarding vehicle, detecting the waiting direction of the user of the overlapping area from the image of the monitoring camera, and comparing with the waiting direction of the boarding vehicle. The user detection range of the user existing in the overlapping area can be set.

«Step S33»
Since it is determined in step S31 that the new user clearly belongs to the user detection range, a boarding vehicle is determined in step S33 based on the user detection range.

«Step S34»
In step S34, the boarding number is assigned to the user of the overlapping area and the user extracted in the user detection range. On the other hand, even when a new user appears and does not exist in the overlapping area but exists in the user detection range, the boarding number is assigned to the user extracted in the user detection range. When this process is completed, the process proceeds to step S13 of FIG. 6, and the operation of the control flow shown in FIG. 6 is continued.

Next, a specific example of step S13 shown in FIG. 6 will be described with reference to FIG. When step S12 shown in FIG. 6 is completed, steps S40 to S41 shown in FIG. 8 are executed, and the process returns to step S14 again.

«Step S40»
In step S40, it is determined whether the discrimination information of the user present in the user detection range is detected for the first time. In this case, since the discrimination information of the user existing in the user detection range before the current time is already stored in the storage area of the monitoring camera control system 16, the discrimination information stored this time and the discrimination detected this time By comparing the information, it can be determined whether the user is detected for the first time.

If the discrimination information is not detected for the first time, the process goes to the end. If the discrimination information is detected for the first time, the process proceeds to step S41.

<< step S41 >>
In step S41, an ID number is newly assigned to the user identification information detected for the first time. Then, since the identification information of the user and the ID number are linked and stored, it is possible to trace the movement state of the user who has been given the ID number. When this process is completed, the process proceeds to step S14 of FIG. 6, and the operation of the control flow shown in FIG. 6 is continued.

Next, a specific example of step S20 shown in FIG. 6 will be described with reference to FIG. When step S19 shown in FIG. 6 is completed, steps S50 to S51 shown in FIG. 9 are executed to shift to the end.

«Step S50»
In step S50, it is determined whether or not the release process of the ID number is necessary. In the present embodiment, the case where the movement information (movement history) of the user is traced over a predetermined time and the case where it is not so are set, and as an example, they are set in “one day”. Then, when the release state condition is set as "one day unit", the process proceeds to step S51, and when it is not set, the process proceeds to step S52.

<< step S51 >>
In step S51, the identification information (feature amount) and the ID number are not associated with each other until the date and time becomes 0:00:00, but are associated with each other and held. This makes it possible to trace the movement of the user over the time of day.

«Step S52»
In step S52, when the predetermined release condition is satisfied within the time less than "on a daily basis", the ID number assigned to the individual user and the discrimination information associated with this are released (erased) Be done. As described above, what is released is the ID number assigned to the individual user and the discrimination information linked to this, and the "occurrence time (set time)" of the other ID numbers. , “Exit floor number where ID number is generated”, “ride time when you boarded the boarding number” and “boarding floor number”, “disembarking time” when you got off the board number and “dismounting floor number” Is held as parameter data of

Here, as the release condition set in step S52, (1) the release condition that the user got off the boarding vehicle is (2) time such as one round time in the traffic calculation used in the installation plan of the elevator (3) Assuming that the time expiration used is a release condition, assuming that there is a first elevator group and a second elevator group, assuming the connection, the first elevator group to the second elevator group or the second elevator group Release condition when transferring from the first group of elevators to the first group of elevators (for example, when there is a transfer from the lower layer to the upper layer, the release condition is when the higher elevator is dismounted) It is possible to set an appropriate release condition because it can be considered.

FIG. 10 shows a specific example of the log tabulation process executed in step S19, and is a log output when the case of getting off the boarding vehicle is regarded as the ID release condition.

The log output includes “user identification information” representing the user, “ID number” linked to it, “occurrence time” of the ID number, and “occurrence floor number” at which the ID number is generated. A "ride time" and "ride floor number" on which the ride number boarded, and "disembarkation time" and "dismount floor number" off the ride number machine are stored.

For example, for the user Pa, the ID number is set to "0001", and this ID number is set to "5:00" and "8:00:01", and the user Pa is "5th floor". It is possible to obtain information that the passenger boarding board “8:01:05” at the boarding point and that the user Pa has got off the boarding board at “eighth floor” from “boarding board” to “8:01:20”. The same applies to other users, and it is possible to improve the accuracy of the prior simulation for performing group management control from the movement information of these users.

Note that when the ID release process is executed, the user's identification information and the "ID number" associated with it are deleted, and general user information (for example, A, B, C, etc.) is deleted. Will be replaced. Since the simulation does not require the user's personal information, there is no problem if the personal information such as the user's discrimination information is deleted, and it is also desirable from the viewpoint of protection of the personal information.

FIG. 11 shows a specific example of the log aggregation process executed in step S19, and is a log output when “one day unit” is an ID release condition. The log output is basically the same as in FIG. 10, but since the ID release condition is “on a day” basis, movement information is acquired on a “day basis” as shown by the user Pc.

For example, in the first detection process, the ID number is set to "0003" for the user Pc, and this ID number is set to "8:00:04" on the "5th floor", and the user Pc is Board the boarding number at 8:01:06 on the 5th floor and further, the user Pc gets off from the boarding platform on the 9th floor at 8:01:55. You can get information that you went to the office.

In addition, even after the user Pc works for nine times in the office and the time elapses, the ID number of the user Pc is held as "0003", and this ID number is "9th floor" and "10: The user Pc is detected again at 10:25 ", and the user Pc takes" 10:10:36 "to the boarding machine at the" 9th floor "platform, and the user Pc also operates the" 1st floor "platform You can get the information that you got off at "10:11:03" from the boarding vehicle. The same applies to other users, and it is possible to improve the accuracy of the prior simulation for performing group management control from the movement information of these users. Furthermore, by setting the release condition of the ID, it is possible to create data for maintaining the simulation accuracy in any usage scene in consideration of privacy.

In the present embodiment, the “user identification information” representing the above-described user, the “ID number” associated with the user, the “occurrence time” of the ID number, and the “occurrence floor where the ID number is generated. The floor number, the boarding time on which the boarding machine was boarded, the boarding floor number, and the boarding time on which the boarding board was dismounted are stored. It is also possible to set other storage items.

The above-described embodiment shows an example in which the surveillance camera control system 16 comprehensively manages and controls the images of the hall surveillance camera 17 provided at the landing of each floor and the in-car surveillance camera 20 provided in the car. However, the user's movement information may be acquired using only the landing monitoring camera 17 provided at the landing of each floor, or the user using only the car monitoring camera 20 provided in the car. You may acquire movement information of

When acquiring user's movement information using only the landing surveillance camera 17 provided at the landing of each floor, it can be basically realized by the same control as the control flow shown in FIG. In this case, the boarding user detection process of step S15 and the getting-off user detection process of step S17 detect the behavior of the user from the image of the boarding surveillance camera 17 on board and the image of the boarding surveillance camera 17 aboard Can be implemented by That is, when getting on the vehicle, it can be detected when the user disappears from the user detection range, and when getting off, it can be detected when the user appears in the user detection range.

In addition, when acquiring movement information of the user using only the in-car monitoring camera 20 provided in the car, the identification information of the individual user detected by the in-car monitoring camera 20 is associated with the ID number The time of appearance when the user appears in the car and the time of disappearance when the user has disappeared from the car are stored for each ID number. Then, the departure floor and the arrival floor can be linked from the board number information and the time information for each ID number, and the log output can be acquired.

As described above, according to the present invention, the identification information and ID information for identifying the user are set and given to each of the users from the image of the hall camera for photographing the elevator hall or the in-car camera for photographing the inside of the car The movement of the user is traced based on the discrimination information and the ID information, and at least the user's boarding floor and the getting-off floor are linked and stored, and the user's movement information is grasped.

According to this, since the movement information of the user can be accurately grasped, for example, accurate parameter data necessary for the simulation in advance for performing the group management control can be obtained, so that the accuracy of the simulation can be improved.

The present invention is not limited to the embodiments described above, but includes various modifications. For example, the embodiments described above are described in detail in order to explain the present invention in an easy-to-understand manner, and are not necessarily limited to those having all the configurations described. In addition, one means of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. In addition, it is possible to add, delete, and replace other configurations with respect to one means of the configurations of the respective embodiments.

DESCRIPTION OF SYMBOLS 10 ... Elevator operation control system, 10A ... Learning part, 10B ... Reception part, 10C ... Number-of-people evaluation part according to a floor, 10D ... Comprehensive evaluation part, 10E ... Allocation command part, 11A-11N ... Ride number elevator control system, 12 ... Communication network 16 Monitoring camera control system 16A Image input processing unit 16B Detection range setting processing unit 16C User detection processing unit 16D ID setting processing unit 16E Floor-specific user detection processing unit , 16F: movement information output processing unit, 16G: log output processing unit, 17: landing surveillance camera, 18A to 18D: landing door, 19A to 19D: user detection range, 20: in-car surveillance camera.

Claims

An elevator-based log output system for analyzing an image of a hall camera that captures a hall of a plurality of elevator cars and grasping movement information of a user of the hall,
The elevator usage log output system
User detection means for detecting discrimination information for discriminating individual users from the image of the landing camera;
ID number setting means for setting and giving individual ID numbers corresponding to the discrimination information;
Movement information detection means for detecting movement information of an individual user from the discrimination information and the ID number;
And a storage means for storing the movement information detected by the movement information detection means in correspondence with the ID number.
It is an elevator utilization log output system of Claim 1, Comprising:
The movement information detection means
The discrimination information at the time of boarding is compared with the discrimination information of the individual user who gets on the boarding machine from the platform and the discrimination information of the individual user who gets off the boarding system to the other platform Use of an elevator characterized by comprising user recognition means for specifying an individual user who agrees with the discrimination information at the time of getting off, and detecting the movement information of the individual user recognized by the user recognition means Log output system.
It is an elevator utilization log output system of Claim 2, Comprising:
The elevator usage log output system
A user detection range setting unit configured to set a user detection range for extracting a user for each of the boarding cars in the hall from the image of the hall camera;
The elevator usage log output system, wherein the user detection means extracts the discrimination information of the individual user from the user detection range for each of the passenger cars set by the user detection range setting means. .
It is an elevator utilization log output system of Claim 3, Comprising:
The elevator usage log output system
When there is a user in the overlapping area of the adjacent user detection range set by the user detection range setting means, the user of the overlapping area is analyzed and the user existing in the overlapping area is analyzed An elevator utilization log output system comprising a user detection range resetting means for setting the user detection range of (4).
It is an elevator utilization log output system of Claim 4, Comprising:
The user detection range resetting means sets the waiting direction of each of the boarding cars, detects the waiting direction of the user of the overlapping area from the image of the landing camera, and compares it with the waiting direction of the boarding cars. The elevator use log output system, wherein the user detection range of the user existing in the overlapping area is set.
It is an elevator utilization log output system of Claim 2, Comprising:
The elevator usage log output system
When the movement information is stored in the storage unit, the ID number release unit releases the ID number of the individual user according to a predetermined release condition and the identification information associated with the ID number. Elevator usage log output system characterized by.
An elevator usage log output method for analyzing an image of a hall camera which captures a hall of a plurality of elevator cars and grasping movement information of a user of the hall,
The elevator usage log output method is
From the image of the landing camera, discrimination information for discriminating an individual user is detected;
Set an individual ID number corresponding to the discrimination information,
The movement information of an individual user is detected from the discrimination information and the ID number,
And storing the detected movement information in correspondence with the ID number.
The elevator use log output method according to claim 7, wherein
When detecting the movement information,
The discrimination information of the individual user who gets on the boarding machine from the hall and the discrimination information of the individual user who gets off from the boarding machine to the other hall are compared, and the discrimination information at the time of boarding and alighting A method for outputting an elevator usage log, comprising: identifying an individual user with whom the discrimination information coincides with one another and detecting the movement information.
The elevator use log output method according to claim 8, wherein
The elevator usage log output method is
Setting a user detection range for extracting a user for each of the boarding cars in the hall from the image of the hall camera;
A method of outputting an elevator usage log, characterized in that the discrimination information of an individual user is extracted from the set user detection range for each boarding number set.
It is the elevator utilization log output method according to claim 9,
The elevator usage log output method is
Analyzing the image of the user of the overlapping area when the user exists in the overlapping area of the adjacent user detection area, and resetting the user detection area of the user existing in the overlapping area; Elevator usage log output method characterized by
11. The elevator usage log output method according to claim 10, wherein
The method of detecting the number of persons in the vertical direction of the elevator is
Setting the waiting direction of each of the boarding cars and detecting the waiting direction of the user of the overlapping area from the image of the landing camera;
An elevator usage log output method, wherein the user detection range of the user existing in the overlapping area is set in comparison with the waiting direction of the boarding car.
The elevator use log output method according to claim 8, wherein
The elevator usage log output method is
When the movement information is stored, the elevator utilization log output method is characterized in that the ID number of the individual user and the discrimination information linked thereto are released according to a predetermined release condition.
An elevator-use log output system for analyzing an image of a camera in a car for capturing the inside of a car of a plurality of elevator cars and for grasping movement information of a user in the car,
The elevator usage log output system
User detection means for detecting discrimination information for discriminating individual users from the image of the in-car camera;
ID number setting means for setting and giving individual ID numbers corresponding to the discrimination information;
Movement information detection means for detecting movement information of an individual user from the discrimination information and the ID number;
And a storage means for storing the movement information detected by the movement information detection means in correspondence with the ID number.
An elevator usage log output method for analyzing an image of an in-car camera for capturing the inside of a car of a plurality of elevator cars, and for grasping movement information of a user in the car;
The elevator usage log output method is
The discrimination information for discriminating the individual user is detected from the image of the in-car camera,
Set an individual ID number corresponding to the discrimination information,
The movement information of an individual user is detected from the discrimination information and the ID number,
And storing the detected movement information in correspondence with the ID number.