JP2021038028A - Detecting system of number of people moving up/down in elevator and detecting method of number of people moving up/down in elevator - Google Patents

Abstract

To provide a detecting system of number of users moving up/down in an elevator and a detecting method of number of users moving up/down in an elevator capable of accurately grasping the number of users moving upward and downward by destination direction, who wait at the landing on the predetermined floor of the elevator.SOLUTION: A detecting system of number of users extracts the number of users every car number 5A-5D and the lighting state of a reservation indicating light 18 from the image of a camera 17 to take a picture of an elevator landing, determines if the extracted user by the lighting state of the reservation indicating light 18 gets into the boarding car bound for upward or into the boarding car bound for downward, and evaluates the destination direction of the user waiting at the landing. This system, for example, can improve pre-simulation accuracy to perform a group management control, or can effectively perform an operation control of the elevator because this system can accurately grasp the movement status of the user.SELECTED DRAWING: Figure 5

Description

The present invention relates to a vertical number detection system for an elevator that accurately grasps the number of users moving upward at an elevator platform and the number of users moving downward, and a vertical number detection method.

In relatively large buildings, multiple elevators are installed in order to improve the user transportation capacity by elevators, and a system has been introduced to select and service the most suitable car when registering a call at the platform. .. Furthermore, as the scale of the building increases, the number of elevators installed in the building also increases, and these multiple elevators are appropriately controlled by the group management control device to improve services such as reducing waiting time for users. ing.

In elevators using such a group management control device, in order to appropriately control the utilization efficiency of each elevator, the number of users is measured and each elevator is operated efficiently. For example, Japanese Patent Application Laid-Open No. 2016-8130 (Patent Document 1), Japanese Patent Application Laid-Open No. 2010-241566 (Patent Document 2), and the like propose the following systems.

In the elevator system shown in Patent Document 1, a load amount calculation device is provided in the car, and a surveillance camera device is provided in the elevator landing. The load amount calculation device calculates the load amount of the car, and the surveillance camera device detects the user at the landing from the image information obtained by photographing the landing. Then, when a user at the landing is detected while the car is open at the landing, the number of passengers who can board the car is calculated based on the calculated load amount of the car and calculated. The number of passengers that can be boarded is notified.

Further, in the elevator system shown in Patent Document 2, the passenger cars of a plurality of elevators are controlled so as to be able to transfer to each other on a predetermined transfer floor (second lobby floor), and the elevators are used upward on the transfer floor. The ratio of the number of passengers to the number of passengers going downward is calculated, and the arrival time of the car to the transit floor is controlled based on the calculated ratio.

Japanese Unexamined Patent Publication No. 2016-8130 Japanese Unexamined Patent Publication No. 2010-241566

By the way, in an elevator equipped with this kind of group management control device, in order to operate each elevator efficiently, the movement information of the user (movement of the building upward or downward, the user). It is necessary to accurately grasp the number of passengers, boarding machine, waiting time, waiting floor, etc.). If the movement information of the user can be accurately grasped in this way, the accurate parameter data required for the preliminary simulation for performing the group management control can be obtained, so that the accuracy of the simulation can be improved. In addition, if the movement status of the user can be accurately grasped, the operation control of the elevator can be performed more efficiently by reflecting it in the actual group management control in real time. Therefore, in the group management control device, it is strongly required to accurately grasp the movement information of the user.

An object of the present invention is to accurately grasp at least the number of users moving upward and the number of users moving downward, waiting at a landing on a predetermined floor of an elevator, for each destination direction. It is an object of the present invention to provide a system for detecting the number of people in the vertical direction of an elevator and a method for detecting the number of people in the vertical direction.

The feature of the present invention is that the number of users is extracted for each boarding machine from the image of the camera that captures the landing of the elevator, and the extracted users are used as the boarding machine that goes upward or the boarding machine that goes downward. It is a place to judge whether to board and accurately grasp the movement information of the user waiting at the landing.

According to the present invention, since the movement information of the user can be accurately grasped, for example, the accuracy of the preliminary simulation for performing the group management control can be improved, or the operation control of the elevator can be efficiently performed. ..

It is a block diagram which shows the outline of the elevator operation management system and the surveillance camera surveillance system which become 1st Embodiment of this invention. It is an external view which looked at the landing for demonstrating the idea of this invention from diagonally above. It is explanatory drawing explaining the lighting state of the reservation indicator light. It is explanatory drawing which shows the user detection range set for every boarding machine for explaining the idea of this invention. It is a flowchart explaining the method of detecting the number of people in the vertical direction of an elevator which becomes 1st Embodiment of this invention. It is a detailed control flow of the control steps S12 and S13 shown in FIG. It is a figure which shows the specific data of the log output executed in the control step S16 shown in FIG. It is a flowchart explaining the method of detecting the number of people in the vertical direction of an elevator which becomes the 2nd Embodiment of this invention. It is a flowchart explaining the method of detecting the number of people in the vertical direction of an elevator which becomes the 3rd Embodiment of this invention. It is a detailed control flow of the control step S27 shown in FIG. It is a figure which shows the specific data of the log output executed in the control step S16 shown in FIG.

Next, an embodiment of the present invention will be described in detail with reference to the drawings, but the present invention is not limited to the following embodiments, and various modifications and applications are included in the technical concept of the present invention. Is also included in the range.

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

The elevator operation management system 10 that functions as a group management control device is connected to the boarding machine elevator control systems 11A to 11N that control each boarding number of a plurality of elevators, and the boarding machine elevator control systems 11A to 11N operate the elevator. It has a function of receiving a control command from the management system 10 and actually operating the boarding machine. 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 / closing electric motor, and the like.

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

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

The receiving unit 10B is connected to the communication network 12, and various related information such as the number of upward users, the number of downward users, and the standby time for each floor is input from the surveillance camera control system 16. Has been done. The received various related information is sent to the learning unit 10A, and the various related information is learned by executing the rewriting process or the like.

In addition, the received information such as the number of users in the upward direction for each floor, the number of users in the downward direction, and the waiting time is sent to the number evaluation unit 10C for each floor, where a predetermined evaluation calculation process is performed. Will be executed. The evaluation calculation result is sent to the comprehensive evaluation unit 10D, and the comprehensive evaluation calculation is executed together with other evaluation calculation parameters. The operation allocation information of the boarding machine calculated by the comprehensive evaluation unit 10D is sent to the allocation command unit 10E, and the allocation command unit 10E sends a control command to the corresponding boarding machine elevator systems 11A to 11N, and the boarding machine elevator system. Have 11A-11N perform a predetermined function.

On the other hand, the surveillance camera control system 16 which is a feature of the present embodiment has an image input processing unit 16A, a detection range setting processing unit 16B, a user detection processing unit 16C, a standby number of people detection processing unit 16D, and a number of people output processing of the surveillance camera. It is composed of parts 16E, which 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 the user detection range can be set in any range. For example, a semicircular detection range having a predetermined radius or a rectangular detection range can be set in front of the landing door in front of the boarding machine of the landing.

Further, the detection range setting processing unit 16B sets the reservation indicator detection range in order to determine the display state of the reservation indicator that displays the operation direction (upward or downward) of each boarding machine by the brightness of the lamp. It has a function to do. The operation direction of each boarding machine can be determined by the brightness of the reservation indicator light in the reservation indicator light detection range. In this way, by simultaneously detecting the user and the reservation indicator light, the relationship between the user and the reservation indicator light can be set uniquely, and the operation direction can be defined without newly using other judgment parameters. , It is possible to execute rational judgment control from the viewpoint of control.

The user detection processing unit 16C obtains an image feature amount for detecting a person (= user) from an image taken by a surveillance camera input to the image input processing unit 16A, and determines a user from this feature amount. It has a function to identify and extract. Alternatively, it has a function of identifying and extracting a user by comparing a model of a person's head image or an overall image with a captured image. In any case, the user detection processing unit 16A has a function of extracting a user from an image taken by a surveillance camera.

The waiting number detection processing unit 16D calculates how many users are detected in the user detection range set by the detection range setting processing unit 16B. If the reservation indicator light detection range can be set, the number of people calculated here is the number of users in the user detection range in front of the boarding machine where the reservation indicator light is lit upward, and the reservation indicator light is downward. By calculating the number of users in the user detection range in front of the boarding machine that lights up in, it has a function to calculate the number of waiting users for upward and downward users by floor. In this case, it also has a function to detect the floor number, the current waiting time, and the like.

If the reservation indicator light detection range cannot be set due to the location of the surveillance camera or the shape of the wall surface of the landing, use the information on the traveling direction of the boarding machine to use the upward and downward directions for each floor. It may have a function of calculating the number of people waiting.

The number-of-person output processing unit 16E has a function of transmitting the number of waiting people, the waiting floor, the waiting time, etc. of the users in each vertical direction obtained by the waiting number-of-person detection processing unit 16D to the elevator operation management system 10, or as a log output. It has a function to store data such as the number of people waiting, the floor waiting, and the waiting time in a rewritable storage area separately provided.

When transmitting the number of waiting users, waiting floors, waiting time, etc. for each vertical direction to the elevator operation management system 10, it can be used for more efficient control of elevator operation, and data is separately output as log output. When stored in the provided storage area, it can be used as parameter data of a preliminary simulation for performing group management control.

Next, the details of the surveillance camera control system 16 which is a feature of the present embodiment will be described with reference to FIGS. 2 to 7. 2 to 4 are diagrams for explaining the concept of the present embodiment, and FIGS. 5 to 7 are diagrams for explaining the specific embodiment.

FIG. 2 shows a landing on a certain floor (for example, the fifth floor), and a surveillance camera 17 is installed at an arbitrary position on the landing. As the surveillance camera 17, a wide-angle camera capable of photographing the entire landing is used. In addition, four elevators are installed at this platform, and the boarding units 5A to 5D are operated respectively. Needless to say, the surveillance cameras 17 are also arranged on each floor other than this floor.

Then, a user is waiting at the landing in front of the boarding machine 5B, which operates upward, and the boarding machine 5D, which operates downward. In FIG. 2, as shown by the reservation indicator light 18, the boarding unit 5B in which four users Pup are waiting is operated upward, and seven users Pdn are waiting. The boarding machine 5D is operated downward.

There are various types of reserved indicator lamps 18, but generally, as shown in FIG. 3A, an upward indicator lamp 18up and a downward indicator lamp 18dn are provided as a pair. FIG. 3B shows that the upward indicator light 18up is lit and the boarding unit 5B is operated upwards, and FIG. 3C is a downward indicator light 18dn that is lit. It shows that the boarding machine 5D is operated downward. Therefore, if the lighting state of the reservation indicator lamp 18 is determined by image analysis, it is possible to determine in which direction the boarding machine is operated.

FIG. 4 shows the number of users for each boarding machine and the user detection range for performing image analysis for detecting the lighting state of the reservation indicator lamp 18. In front of the landing doors 19A to 19D of each boarding unit 5A to 5D, the user detection range 20A to 20D is set in a semicircular shape with a predetermined radius centered on the vicinity of the center of each of the landing doors 19A to 19D. Therefore, the user detection range 20A to 20D is set for each of the boarding units 5A to 5D.

At present, the users are waiting at the boarding machine 5B and the boarding machine 5D. Therefore, by image analysis, the user detection range 20B, the number of users waiting in the user detection range 20D, and the reservation indicator light 18 The lighting state can be detected. Of course, in this case, the boarding machine will also be recognized. The user detection range can be arbitrarily set by the image input processing unit 16A, and can be set to a rectangular shape or any other shape in addition to the semicircular shape.

Here, with respect to the user Pdn-1 located in the overlapping region where the adjacent user detection ranges 20A to 20D overlap, a state occurs in which it cannot be determined which user detection range belongs to. In this case, by image analysis, feature points such as the user's face and shoulders can be extracted, and the user detection range and the boarding number thereof can be determined from the posture and direction in which the user is facing. Alternatively, since the movement locus of the user can be estimated from the temporal change of the image, the user detection range and the boarding machine can be determined by determining which boarding machine the user has moved to. Therefore, in FIG. 4, the user Pdn-1 is counted as the number of people waiting to be detected in the user detection range 20D as the user who gets on the boarding machine 5D.

Even when waiting for the elevator, the position coordinates of the elevator are set in advance, or the elevator door is detected by the image taken from the landing, and the position coordinates are automatically set. As described above, it is possible to determine which elevator position coordinates are heading from the detected user's posture and direction, and to determine which boarding machine is waiting.

Based on this way of thinking, a specific embodiment will be described next. FIG. 5 is a flowchart showing a control flow by the computer of the above-mentioned processing executed by the surveillance camera control system 10. This control flow is started at the start timing every predetermined time. In the following, the description will proceed based on the state shown in FIG.

<< Step S10 >>
In step S10, the user detection range setting process is executed, and the user detection ranges 20A to 20D as shown in FIG. 4 are set based on the input image of the landing. Then, from the images in the user detection range 20A to 20D, the extraction of the user for each boarding machine is executed by the following step S11. When the setting process of the user detection range is completed, the process proceeds to step S11.

<< Step S11 >>
In step S11, the user detection process is executed, the image in the user detection range 20A to 20D set in step S10 is analyzed, and the user is extracted for each boarding machine. Is. For user extraction, an image feature amount for extracting a person is obtained from an image taken by a surveillance camera, and a person is specified and extracted from this feature amount. It is also possible to identify and extract a person by comparing the model of the head image or the whole image of the person with the captured image.

Here, when the images in the user detection range 20A to 20D are analyzed, if the user exists in the overlapping area where the user detection range overlaps, it is set as the user of which user detection range. It may not be possible to determine whether to do so. Therefore, when the user detection process is completed, the process proceeds to step S12 to execute the setting process of the user existing in the overlapping area.

<< Step S12 >>
In step S12, the user detection range of the user existing in the overlapping area is reset, and a process called person vector detection is executed here. This process determines which user detection range the user Pdn-1 existing in the overlapping area belongs to and resets it, and extracts feature points such as the user's face and shoulders by image analysis. Then, the user detection range and the boarding number thereof can be determined from the direction and posture in which the user is facing. In addition to this, 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 machine are determined by determining which boarding machine the user has moved to. can do. In this way, it is possible to set the user detection range of the user existing in the overlapping area from at least one or more information of the posture and direction of the user or the movement locus. When the person vector detection process is completed, the process proceeds to step S13.

This is quantified as the detected position coordinates of the user and an angle with respect to an arbitrary direction with respect to the direction in which the user is facing. For example, taking the user Pdn-1 of FIG. 4 as an example, in the layout of the landing plane viewed from above, the angle is set to 0 ° with respect to the angle perpendicular to the upper side in the figure. From there, the position coordinates of the elevator and the position coordinates of the user are used to detect which elevator is facing.

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

In this way, resetting the user detection range sets the waiting direction of each boarding machine, detects the user waiting direction of the overlapping area from the image of the surveillance camera, and compares it with the waiting direction of the boarding machine. It is possible to set the user detection range of the users existing in the overlapping area.

≪Step S13≫
In step S13, the number of users calculation process for each boarding machine is executed, and the user detection range extracted in steps S11 and S12 is every 20A to 20D, in other words, every boarding machine 5A to 5D. Calculate the number of users. When the process of calculating the number of users for each boarding machine is completed, the process proceeds to step S14.

<< Step S14 >>
In step S14, the lighting identification process of the reservation indicator lamp 18 is executed, and the lighting state of the reservation indicator lamp 18 as shown in FIG. 3 is identified based on the input image of the reservation indicator lamp 18. FIG. 3A shows a state in which there is no "call" of the car, and the reservation indicator light 18 is not lit. On the other hand, FIG. 3B shows that the upward indicator light 18up is lit and the boarding unit 5B is operated upward, and FIG. 3C shows that the downward indicator light 18dn is lit. It shows that the boarding machine 5D is operated downward. Therefore, the lighting state of each reservation indicator light 18 is image-analyzed to determine in which direction the respective boarding units 5A to 5D are operated. When the lighting identification process of the reservation indicator lamp 18 is completed, the process proceeds to step S15.

<< Step S15 >>
In step S15, the number of users for each boarding machine is calculated for each vertical direction, and the number of users for each boarding machine obtained in step S13 and each boarding machine obtained in step S14 are executed. The operating direction and the number of users of each boarding machine are calculated from the operating direction of. At this time, user movement information such as boarding unit information, upward or downward information, number of users, waiting time information, waiting floor information, etc. is required at the same time. When the process of calculating the number of users for each vertical direction is completed, the process proceeds to step S16, step S17, or steps S16 and S17.

<< Step S16 >>
In step S16, the movement information of the users is stored in the rewritable log storage area so that the number of users in each vertical direction and the related information thereof can be output as a log for each boarding machine obtained in step S15. ing. In this case, the user's movement information such as the boarding machine information, the upward or downward information, the number of users information, the waiting time information, and the waiting floor information is stored. Therefore, these data can be effectively used as parameter data when simulating the control operation of the elevator. When the log output process is completed, it exits to the end, ends the control flow, and waits for the arrival of the next start timing.

≪Step S17≫
In step S17, the user's movement information as described in step S16 is sent to the elevator operation management system 10 via the communication network 12. In the elevator operation management system 10, a predetermined evaluation calculation process is executed by the floor-based number evaluation unit 10C, and further, a comprehensive evaluation calculation is executed by the comprehensive evaluation unit 10D together with other evaluation calculation parameters. In this way, the user's movement information can be used for more efficient control of elevator operation. When the output processing to the elevator operation management system 10 is completed, the elevator exits to the end, the control flow is terminated, and the elevator waits for the arrival of the next start timing.

Needless to say, it is possible to execute the processes of step S16 and step S17 together. In this case, it is preferable to execute step S17 first and then execute step S16. .. As a result, the movement information of the user can be given to the elevator operation management system 10 in real time, and the control responsiveness can be improved.

Next, a specific example of step S12 and step S13 shown in FIG. 5 will be described with reference to FIG. When step S12 shown in FIG. 5 is completed, steps S18 to S22 shown in FIG. 6 are executed, and the process proceeds to step S14.

≪Step S18≫
In step S18, it is determined from the image of the camera whether or not a new user has been detected at the landing. Since individual users can be identified by image analysis, when a new user appears at the landing for a user before the present time, the new user can be identified by extracting this. In step S18, if a new user is not extracted, the process exits to the end, and if a new user is extracted, the process proceeds to step S19.

≪Step S19≫
In step S19, as shown in FIG. 4, it is determined whether or not the new user Pdn-1 exists in the overlapping region of the user detection range 20D and the user detection range 20C. Then, when it is determined that the new user Pdn-1 exists in the overlapping area, the process proceeds to step S20, and when it is determined that the new user Pdn-1 does not exist in the overlapping area, step S21 Move to.

<< Step S20 >>
In step S20, the person vector processing (step S12) shown in FIG. 5 determines the user detection range 20D to which the new user Pdn-1 belongs, and thereby also determines the boarding machine.

<< Step S21 >>
Since it is determined in step S19 that the new user Pdn-1 clearly belongs to the user detection range 20D, in step S21, the boarding machine is determined based on this user detection range 20D.

<< Step S22 >>
In step S22, the number of users in the overlapping area and the number of users extracted in the user detection range 20D are added to calculate the number of users for each boarding machine. For example, in FIG. 4, when the current number of users in the user detection range 20D is 6, and a new user Pdn-1 appears and exists in the overlapping area, the user of the overlapping area is processed by the person vector processing. Since Pdn-1 is set to the user detection range 20D, in step S22, one person in the overlapping area and six people in the user detection range 20D are added to obtain seven people.

On the other hand, when a new user Pdn-1 appears and does not exist in the overlapping area but exists in the user detection range 20D, it has moved to step S21 at the discretion of step S19, so it is newly added to the current 6 users. The number of users will be 7 by adding 1 user. When step S22 is completed, the end is reached, but the number of users for each boarding machine counted in step S22 will be used in step S15 of FIG.

FIG. 7 shows a specific example of the log output executed in step S16. In the log output, each "floor", "boarding machine" for each floor, "operation direction" for the boarding machine, and "waiting number of people" for each time zone are stored.

For example, in the boarding units 5A to 5D on the 5th floor, the boarding units 5A and 5C have no "call", so the operation direction is blank and the number of people on standby is 0. On the other hand, the boarding machine 5B is stored as an upward "call", so that the operating direction is upward, and the boarding machine 5D is stored as a downward "call", so that the operating direction is downward.

In addition, the number of people waiting in the time zone set at predetermined time intervals is stored in accordance with the passage of time at this time. For example, four users are on standby during the time zone from 8:00 to 8:00:59 on boarding machine 5B, and four users are also on standby during the time zone from 8:00 to 8:00:01:59. Is remembered to be waiting. In addition, 6 users are on standby during the time zone from 8:00 to 8:00:59 on boarding machine 5D, and 6 users are also on standby during the time zone from 8:00 to 8:00:01:59. Is remembered to be waiting.

In this embodiment, the above-mentioned floors, boarding units for each floor, operating directions of the boarding units, and the number of people waiting for each time zone are stored, but other storage items may be set as necessary. Is also possible.

By executing the above control flow, it is possible to accurately grasp the movement information including the upward movement and the downward movement of the user. Therefore, for example, a preliminary simulation for performing group management control can be performed. The accuracy can be improved, or the operation control of the elevator can be performed efficiently.

Next, a second embodiment of the present embodiment will be described with reference to FIG. The embodiment shown in FIG. 5 shows the case of counting the "number of people" of the users existing in the user detection range, but the example shown in FIG. 8 shows the case of calculating the degree of congestion in the user detection range. Is shown. The same step numbers as the control steps shown in FIG. 5 have substantially the same processing contents.

<< Step S10 >> ~ << Step S12 >>
Since it is the same as the control step of FIG. 5, the description thereof will be omitted. When step S12 is completed, the process proceeds to step S23.

<< Step S23 >>
In step S23, the ratio of how many users (not the number of people) exists within the range of each user detection range 20A to 20D is calculated. In the following, the ratio of the presence of all users in the user detection range will be described as the “congestion degree”.

The users waiting at the landing are a mixture of adults and children, as well as fat and thin people. Therefore, for example, the number of users alone cannot accurately reflect the users who can board the boarding machine. Therefore, in the present embodiment, the degree of congestion in the user detection range is estimated by image analysis.

The degree of congestion can be estimated, for example, by changing the brightness of the user detection range. The degree of congestion when there is no user in the user detection range is set to "0%", and when the user exists in the user detection range and the brightness of a certain range of the user detection range changes, the area is changed. The degree of congestion can be estimated from the change. For example, when there are many children, the degree of congestion tends to be lower than the count value of the number of people, so that more users can get on the boarding machine than the count value of the number of people. Therefore, obtaining such accurate movement information of the user is advantageous for simulation and elevator operation control. When step S23 is completed, the process proceeds to step S14.

<< Step S14 >>
Since it is the same as the control step of FIG. 5, the description thereof will be omitted. When step S14 is completed, the process proceeds to step S24.

<< Step S24 >>
In step S24, the user congestion degree calculation process for each vertical direction is executed for each boarding machine, and the congestion degree of the user detection range for each boarding machine obtained in step S23 and the degree of congestion in the user detection range obtained in step S14 are obtained. From the operating direction of each boarding machine, the operating direction of each boarding machine and the degree of user congestion are calculated. At this time, user movement information such as boarding machine information, upward or downward information, user congestion degree information, waiting time information, waiting floor information, etc. is required at the same time. .. When the user congestion degree calculation process for each vertical direction is completed, the process proceeds to step S25, step S26, or steps S25 and S27.

<< Step S25 >>, << Step S27 >>
Steps S25 and S26 are substantially the same as the control steps S16 and S17 of FIG. 5, and in step S25, the user congestion degree for each vertical direction can be output as a log for each boarding unit obtained in step S24. As described above, it is stored in the rewritable log storage area. Further, in step S26, the user's movement information as described in step S24 is sent to the elevator operation management system 10 via the communication network 12.

As described above, in the present embodiment, by estimating the degree of congestion in the user detection range, for example, when there are many children, the degree of congestion tends to be lower than the count value of the number of children, so that more users It is possible to obtain control information such as being able to board the boarding machine.

In the case of the present embodiment, in the log output shown in FIG. 7, the item of "waiting number of people" is changed to the item of "waiting congestion degree", and the log output is displayed as a percentage or a percentage. Therefore, obtaining such accurate movement information of the user is advantageous for simulation and elevator operation control.

Next, a third embodiment of the present embodiment will be described with reference to FIGS. 9 to 11. The embodiment shown in FIG. 5 shows a case where the upward or downward operation direction of the boarding unit is detected by image analysis of the reservation indicator light 18, but the examples shown in FIGS. 9 to 11 are monitoring. An example is shown in which the image analysis of the reservation indicator lamp 18 cannot be performed due to the position of the camera, the shape of the wall surface of the landing, and the like.

In the present embodiment, the number of waiting users in the upward and downward directions for each floor is calculated by using the information on the operation direction of the boarding unit itself. In the control flow shown in FIG. 9, the same step numbers as the control steps shown in FIG. 5 have substantially the same processing contents.

<< Step S10 >> ~ << Step S13 >>
Since it is the same as the control step of FIG. 5, the description thereof will be omitted. When step S13 is completed, the process proceeds to step S27.

≪Step S27≫
In step 27, since the lighting identification step (step S14) of the reservation indicator lamp 18 shown in FIG. 5 is not executed, the operating direction of the boarding unit cannot be determined. Therefore, in this control step, information on the operation direction is obtained based on the "call" information of the boarding machine. Details of this step S27 will be described with reference to FIG. Then, when the movement information of the user is obtained based on the operation information of the boarding machine, the process proceeds to steps S16 and S17.

<< Step S16 >>, << Step S17 >>
Since it is the same as the control step of FIG. 5, the description thereof will be omitted.

Next, the details of step S27 will be described with reference to FIG. When step S13 shown in FIG. 9 is completed, steps S28 to S32 shown in FIG. 10 are executed.

≪Step S28≫
Since the process of detecting the number of users by boarding machine is performed in step S13, it is determined in step S28 whether or not the number of users by boarding machine is detected. For example, in FIG. 4, since there are no users at the boarding units 5A and 5C on the 5th floor, the user exits to the end, and since the users are detected at the boarding units 5B and 5D, the process proceeds to step S29.

≪Step S29≫
In step S29, it is determined whether or not the user plans to answer the call in the upward direction to the "call" on the 5th floor for each detected boarding machine. That is, it is determined whether or not the boarding machine 5B or the boarding machine 5D currently in operation responds to the "call" of the boarding machine 5B or the boarding machine 5D on the 5th floor. The determination information of the response to this "call" is provided from the elevator operation management system 10 to the surveillance camera control system 16 via the communication network 12.

Here, the boarding machine 5B is operated upward in response to the "call" on the 5th floor, and the boarding machine 5D is operated downward in response to the "call" on the 5th floor. There is. Therefore, in step S29, in the case of the boarding machine 5B, the process proceeds to step S30, and in the case of the boarding machine 5D, the process proceeds to step S31.

<< Step S30 >>
In step S30, the number of waiting users of the boarding unit 5B on the 5th floor detected in step S13 is determined to be upward users based on the operation information from the elevator operation management system 10.

≪Step S31≫
In step S31, the number of waiting users of the boarding unit 5D on the 5th floor detected in step S13 is determined to be downward users based on the operation information from the elevator operation management system 10.

<< Step S32 >>
In step S32, the number of users for each boarding machine is calculated for each vertical direction, and the number of users for each boarding machine obtained in step S13 and the boarding obtained in steps S30 and S31 are executed. From the operation direction of each unit, the operation direction and the number of users of each boarding unit are calculated.

In this embodiment, based on the first embodiment, when the reservation indicator light lighting identification function is not provided, the number of users is calculated for each boarding unit in each vertical direction. However, based on the second embodiment, it can be applied even if the user congestion degree calculation process for each vertical direction is executed for each boarding machine when the reservation indicator light lighting identification function is not provided. It is a thing. In this case, in step S30, it is set as the upward user congestion degree, and in step S31, it is set as the downward user congestion degree.

FIG. 11 shows a specific example of the log output executed in step S16. In the log output, each "floor", "boarding machine" for each floor, "operation direction" for the boarding machine, and "waiting number of people" for each time zone are stored.

For example, in the boarding units 5A to 5D on the 5th floor, the boarding units 5A and 5C have no "call", so the operation direction is blank and the number of people on standby is 0. On the other hand, the boarding machine 5B is stored as an upward "call", so that the operating direction is upward, and the boarding machine 5D is stored as a downward "call", so that the operating direction is downward. However, in this case, the operation direction is set from the information of the call response schedule provided by the elevator operation management system 10.

In addition, the number of people waiting in the time zone set at predetermined time intervals is stored in accordance with the passage of time at this time. For example, four users are on standby during the time zone from 8:00 to 8:00:59 on boarding machine 5B, and four users are also on standby during the time zone from 8:00 to 8:00:01:59. Is remembered to be waiting. In addition, 6 users are on standby during the time zone from 8:00 to 8:00:59 on boarding machine 5D, and 6 users are also on standby during the time zone from 8:00 to 8:00:01:59. Is remembered to be waiting.

As described above, the present invention extracts the number of users for each boarding machine from the image of the camera that captures the elevator landing, and the extracted users are heading upward or boarding downward. It is configured to determine whether to board the unit and accurately grasp the movement information of the users waiting at the landing.

According to this, since the movement information of the user can be accurately grasped, for example, the accuracy of the preliminary simulation for performing the group management control can be improved, or the operation control of the elevator can be efficiently performed.

The present invention is not limited to the above-described embodiment, and includes various modifications. For example, the above-described examples have been 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 described configurations. It is also possible to replace one means of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. Further, it is possible to add, delete, or replace another configuration with respect to one means of the configuration of each embodiment.

10 ... Elevator operation management system, 10A ... Learning unit, 10B ... Reception unit, 10C ... Number of people evaluation unit by floor, 10D ... Comprehensive evaluation unit, 10E ... Allocation command unit, 11A-11N ... Elevator control system for boarding machine, 12 ... Communication network, 16 ... Surveillance camera control system, 16A ... Image input processing unit, 16B ... User detection processing unit, 16C ... Detection range setting processing unit, 16D ... Standby number of people detection processing unit, 16E ... Number of people output processing unit, 17 ... Surveillance camera, 18 ... Reservation indicator, 19A-19D ... Landing door, 20A-20D ... User detection range.

Claims (14)

This is an elevator vertical number detection system that analyzes the images of cameras that capture the landings of multiple elevator boarding units and grasps the movement information of the users at the landing.
The vertical number detection system for the elevator
A method for detecting the number of users, which extracts the number of users for each boarding machine from the image of the camera, and a means for detecting the number of users.
An operation direction determining means for determining whether or not each of the boarding units is operating in the upward or downward direction,
Use upward for each boarding machine based on the number of users for each boarding machine extracted by the number of users detecting means and the operating direction for each boarding machine determined by the operating direction determining means. An elevator vertical number detection system characterized in that it is equipped with a means for calculating the number of users in each vertical direction for calculating the number of users and the number of users going downward. The vertical number detection system for an elevator according to claim 1.
The vertical number detection system for the elevator
It is provided with a user detection range setting means for setting a user detection range for extracting users for each boarding machine from the image of the camera.
The user number detection means is an elevator vertical number detection system characterized in that users are extracted from the user detection range for each boarding machine set by the user detection range setting means. The vertical number detection system for an elevator according to claim 2.
The operation direction determination means determines the operation direction for each boarding machine by analyzing the lighting state of the reservation indicator lamp for each boarding machine installed at the landing from the image taken by the camera. A featured elevator vertical number detection system. The vertical number detection system for an elevator according to claim 2.
The vertical number detection system for the elevator
When a user exists in an adjacent overlapping area of the user detection range set by the user detection range setting means, an image of a user in the overlapping area is analyzed and a user existing in the overlapping area is analyzed. A vertical number detection system for an elevator, which comprises a user detection range resetting means for setting the user detection range. The vertical number detection system for an elevator according to claim 4.
The user detection range resetting means sets the waiting direction of each of the boarding machines, detects the waiting direction of the user in the overlapping area from the image of the camera, and compares the waiting direction with the waiting direction of the boarding machine. , A vertical number detection system for an elevator, characterized in that the user detection range of users existing in the overlapping area is set. The vertical number detection system for an elevator according to claim 2.
The operation direction determination means is an elevator vertical direction number detection system characterized in that the operation direction is determined from information on the operation direction of the boarding machine that is operated in response to the "call" of the landing. This is a method for detecting the number of people in the vertical direction of an elevator by analyzing the images of cameras that capture the landings of the boarding units of a plurality of elevators and grasping the movement information of the users of the landing.
The method for detecting the number of people in the vertical direction of the elevator is
The number of users is extracted for each boarding machine from the image of the camera that captures the landing.
It is determined whether or not each of the boarding units is operating upward or downward, and the operation is determined.
An elevator characterized by obtaining the number of upward users and the number of downward users for each boarding machine based on the number of users for each boarding machine and the operating direction for each boarding machine. How to detect the number of people in the vertical direction. The method for detecting the number of people in the vertical direction of an elevator according to claim 7.
The method for detecting the number of people in the vertical direction of the elevator is
A user detection range for extracting users from the camera image for each boarding machine is set.
A method for detecting the number of people in the vertical direction of an elevator, which comprises extracting users for each boarding machine from a set user detection range. The method for detecting the number of people in the vertical direction of an elevator according to claim 8.
When determining the operating direction of the boarding machine, the lighting state of the reservation indicator lamp for each boarding machine installed at the landing is image-analyzed from the image taken by the camera, and the vehicle operates for each boarding machine. A method for detecting the number of people in the vertical direction of an elevator, which comprises determining the direction. The method for detecting the number of people in the vertical direction of an elevator according to claim 8 or 9.
The method for detecting the number of people in the vertical direction of the elevator is
When a user exists in an overlapping area of an adjacent user detection range, the image of the user in the overlapping area is analyzed and the user detection range of the user existing in the overlapping area is reset. How to detect the number of people in the vertical direction of the elevator. The method for detecting the number of people in the vertical direction of an elevator according to claim 10.
The method for detecting the number of people in the vertical direction of the elevator is
The waiting direction of each of the boarding units is set, and the waiting direction of the user in the overlapping area is detected from the image of the camera.
A method for detecting the number of people in the vertical direction of an elevator, which comprises setting the user detection range of users existing in the overlapping area as compared with the waiting direction of the boarding machine. The method for detecting the number of people in the vertical direction of an elevator according to claim 8 or 9.
When determining the operating direction of the boarding machine, the number of people in the vertical direction of the elevator is characterized by determining the operating direction from the information on the operating direction of the boarding machine that is operated in response to the "call" of the landing. Detection method. This is an elevator vertical number detection system that analyzes the images of cameras that capture the landings of multiple elevator boarding units and grasps the movement information of the users at the landing.
The vertical number detection system for the elevator
A user detection range setting means for setting a user detection range for extracting users for each boarding machine from the camera image, and a user detection range setting means.
From the image of the camera, the user congestion detection means for obtaining the congestion degree, which is the ratio of the existence of all the users in the user detection range for each boarding machine, and the user congestion detection means.
An operation direction determining means for determining whether or not each of the boarding units is operating in the upward or downward direction,
Use upward for each boarding machine based on the congestion level for each boarding machine extracted by the user congestion detection means and the operating direction for each boarding machine determined by the operating direction determining means. A system for detecting the number of people in the vertical direction of an elevator, which comprises a means for calculating the degree of congestion of users in each vertical direction for calculating the degree of congestion of users and the degree of user congestion in the downward direction. This is a method for detecting the number of people in the vertical direction of an elevator by analyzing the images of cameras that capture the landings of the boarding units of a plurality of elevators and grasping the movement information of the users of the landing.
The method for detecting the number of people in the vertical direction of the elevator is
A user detection range for extracting users from the camera image for each boarding machine is set.
From the image of the camera, the degree of congestion, which is the ratio of all users in the user detection range, is obtained for each boarding machine.
It is determined whether or not each of the boarding units is operating in the upward or downward direction, and the operation is determined.
Based on the degree of congestion for each boarding machine and the operating direction for each boarding machine, it is characterized in that the degree of user congestion going up and the degree of user congestion going down are obtained for each boarding machine. How to detect the number of people in the vertical direction of the elevator.

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