JPH056500A - Moving body and equipment control system - Google Patents

Abstract

PURPOSE:To present a system which recognizes the attribute of a moving body and drives and controls an equipment as the object in accordance with this attribute. CONSTITUTION:The condition of the equipment is controlled based on a measuring means 1 which measures the moving body, a recognizing means 2 which recognizes the attribute of the moving body obtained by the measuring means, attribute information of the moving body obtained by the recognizing means, and information 4 indicating the state of the equipment as the movement object of the moving body. Thus, the control precision is improved because the equipment is controlled in accordance with the attribute of the moving body.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an apparatus for measuring and estimating a pedestrian flow network of, for example, a city, an area, an amusement park, an exhibition hall, a group of buildings, a building, and a controller for a service facility in the city, area, etc. It is a thing.

Therefore, a facility management system, an information guidance service system, an action instruction system (compulsory, guidance);
Mobile operation control system, mobile (car) entry restriction system, event holding support system, environmental media production system, evacuation guidance system, crime prevention monitoring system, city planning support system, optimal facility placement support system, market research support system, etc. It can be applied to a support system for smooth, comfortable and safe urban activities by utilizing information.

[0003]

2. Description of the Related Art Conventionally, as a problem of flow in a city,
First, in the case of vehicles, a traffic control system can be mentioned. In this case, vehicle detector, image sensor, AV
I (automatic vehicle identification device), a camera, etc. are used as a measuring device. Especially in the application of image processing, the time interval is 1 to
Every 5 minutes, items such as number of vehicles, average running speed, average length of occupancy, and vehicle type (large or small) AC amount are measured and used for signal control (Fuji Techno System: Monitoring and Control System Practical Handbook) p1550, 198
9). In addition, when targeting people, "I
The method described in "Real-time measurement of human flow by TV image, Technical Report of IEICE, IE80-73, 198.11" has been performed. In this case, ITV
A camera is used as a measuring device, a VTR is used as a storage device, a computer and the like are used as an image processing device, and it is said that the number of people can be relatively accurately measured at a place where people are sparsely moving.

[0004]

The above-mentioned prior art is mainly described for measuring the number and speed of moving bodies at points (measurement points). It was not considered about the prediction of the state change of the point, and the attribute of the moving body was not considered at all. Also, the weather
Although information such as the date and time has a great influence on the amount of movement of a moving body, it can only be considered empirically. Therefore, when looking at the information, the driver and the pedestrian had to estimate the truly necessary information from the empirical information.

In addition, in the above-mentioned city information system, only static information such as the contents of each service facility and service time zone can be obtained. At this point, it is necessary to go to that point, in what order, or in which route should it be taken? , I can't make a proper decision. This is because the current congestion level on each service point and route is unknown.

An object of the present invention is to detect information on the flow of vehicles and people online and model it together with information on the weather and date and time so that not only the present time of roads and service facilities but also future State changes such as congestion,
In other words, it is to provide a system that accurately grasps and predicts dynamic information and presents it. Another object of the present invention is to provide a system capable of recognizing an attribute of a moving body and drivingly controlling a target facility according to the attribute.

[0007]

In order to achieve the above object, according to the present invention, an image pickup means for picking up an image of a moving body that flows into or out of a facility, and the moving body based on the image information of the picked-up moving body. Recognition means for recognizing the attribute of the facility, storage means for storing information indicating the state of the facility, and means for changing the state of the facility from the recognized attribute information of the moving body and the information indicating the state of the facility. Is provided, and the state of the facility is controlled according to the attribute of the moving body.

Further, according to the present invention, a measuring means for measuring at least one of the number, speed and moving direction of the moving body, information indicating the condition of the area where the moving body moves, or a facility used by the moving body. Storage means for storing information regarding information relating to the measured moving body and information regarding the area or information regarding the facility, and computing means for accessing the information relating to the model created by the computing means. The system is composed of input / output means for displaying.

[0009]

[Operation] A moving body that flows in or out of the facility is imaged by a television camera or the like. If the moving body is a person, attributes such as gender and age are recognized by image processing from the image information of the moving body taken. The state of the facility is changed based on this attribute and the information indicating the state of the facility stored in advance. This makes it possible to control the facility according to the attribute of the moving body.

At least one of the number, speed and moving direction of the moving body is measured by a measuring means such as a camera, and the information is stored in advance indicating the condition of the moving area of the moving body or the facility used by the moving body. From the information and the information on the measured moving bodies, a model is created by calculating means, for example, the number of moving bodies is averaged according to the date and time, the weather, etc., and the prediction information about the created model is displayed. It is possible to accurately grasp the congestion level of roads and facilities.

[0011]

EXAMPLE An example of the present invention will be described below with reference to FIG. The system is composed of one or more measuring devices 1, one or more input / output devices 2, one or more computing devices 3, one or more storage devices 4, and the computing device 3 is connected to other devices. Take

First, the structure of the measuring apparatus 1 will be described with reference to FIG. The measuring device 1 displays a moving body observation device 11 such as a television camera, an observation information calculation device 12 that processes observation information such as image data sent from the observation device, and information processed by the calculation device. It comprises a display device 13 and a storage device 14 for storing processed information.

Further, the measuring device 1 will be described in detail with reference to FIG. 3. The moving body observing device 11 constantly observes the moving body with a television camera or the like, and sends the information to the observation information processing device 12. The arithmetic device first cuts out the image information that is constantly sent at predetermined time intervals Δt. If the information being sent is analog, it is converted to digital here. Next, the background component is removed by taking the difference between the images for each Δt, and only the information of the moving body is extracted. Then, the number of moving bodies is counted. A method of scanning digital image information is used for counting. The counter starts from 0, and the image data is scanned horizontally from above.
If the counter is 0 at the time when the information other than 0 is detected, the counter is incremented by 1. At that time, the location where the information other than 0 is detected and the location immediately before the location where the next 0 is detected when scanning horizontally (that is, the end points where the information other than 0 exists) are stored in the memory. I'll do it. Then, scanning is continued horizontally, and if information other than 0 is detected, the counter is similarly incremented by 1 to 0.
Both end points where information other than is present are added to the previously stored information and stored. Continuing to scan horizontally, if 0 is reached at the end of the horizontal line, scanning is started from the beginning of the next line. If the counter is not 0,
The end points where information other than 0 exists are detected and compared with the previously stored end point information. At this time, if there is only one of the both end points that the range overlaps, the information stored earlier when the horizontal line is scanned to the end without operating the counter is displayed. It erases and stores the information just detected in memory. If there are two or more, the counter is decremented by that number and memory operation is performed in the same manner. If there is no overlap, the counter is incremented by 1 and memory operation is performed in the same manner. In this way, the count of the number of moving objects is completed when the last line is scanned.

Further, in the processing, the center of the moving body is obtained for later calculation of the moving speed / direction. The center is the center of a rectangular area surrounded by the line at the start of scanning, the line at the end of scanning, and the rightmost and leftmost points in the end point information.

By the above processing, the number of moving objects and the center of each moving object (difference image) can be known from the information of the difference image between the two images across Δt. Therefore, since the moving vector of the moving body can be calculated from the information on the center of the moving body using two consecutive difference images, the velocity and direction can be known.

When the number, speed, and direction of the moving bodies are measured in this way, the flow information can be obtained as a movement locus by tracking each moving body. Thereby, it becomes possible to detect the abnormality of the flow by analyzing the movement locus. That is, when a moving path other than a right turn, a left turn, or a straight line is obtained when targeting a vehicle on a road, it is highly possible that a post-event has occurred at that point. Alternatively, from the traffic lights and the progress status of the vehicle, if the vehicle does not move for a certain period of time, for example, even though there is no traffic congestion at the green traffic light, it is highly possible that an accident has occurred. Further, when a person in the passage is targeted to pass an object other than an obstacle, that is, if there is a portion where the person does not pass, there is a high possibility that some accident has occurred there. By using it as an alarm for the occurrence of an abnormality in this way, it is sufficient to check the presence or absence of an abnormality only by looking at the image from the camera etc. at that time, while reducing the load that a person constantly monitors, and urgently. Correspondence becomes possible.

Also, if this is installed at the entrance of the facility, the flow of the moving body can be basically counted separately for those entering the inside and those flowing out. Therefore, the user is notified by displaying the information on the display device 13 that displays the current congestion degree, the number of times the facility itself is used or the waiting time for using the facility in combination with the information on the capacity of the facility, and By storing the information in the storage device 14, it is possible to quantitatively grasp the facility usage status. The waiting time can be calculated from the service provision information and the number of waiting customers at that time.

Further, the device for displaying the above information can display not only each of the individual facilities but also all or some of them together. In that case, it is also possible to make it easier to understand by displaying it together with the map. Further, if the number of pieces of information becomes large, it cannot be displayed at one time, so that it is possible to display necessary information by pointing with a pointing device such as a light pen or a mouse.

Also, in a place where people are relatively stationary, such as in a station or in a hall in front of an elevator, it is possible to measure how many people there are by installing a camera above it. Is.

Further, like the road intersection shown in FIG.
When a moving body such as a person or a vehicle is moving in a complicated manner with one TV camera or the like, the image of the moving body observing device 11 is observed by the observation information processing device 12 as described with reference to FIG. Before processing, the partial area of the image that has been set in advance (extracted image for number of people, which is the area surrounded by the broken line in FIG. 4, and for vehicle number measurement, which is the area surrounded by the alternate long and short dash line) Extracted image) is extracted. Then, the processing of the observation information processing device 12 is performed for each of the extracted partial images. In this case, if the processing speed of the processing device becomes slow,
If the observation information is not delivered in time, it can be dealt with by operating a plurality of processing devices in parallel.

Here, it is conceivable that the measurement of a relatively wide range and the measurement of a relatively narrow range as described above are performed by separate cameras, but when the cameras have a zoom function, one camera is used. It is possible to measure with. In this case, macro information such as the number, speed, and direction of moving objects is detected when overlooking the whole, and microscopic attribute information of an individual when zooming to view a partial area It is also possible to use them depending on the purpose of the measurement, such as detecting the difference between an adult and a child, whether the child is lost, whether it is a suspicious person, etc.).

Further, the depth information can be obtained from the principle of triangulation by processing the stereo image using the two cameras provided above. This makes it possible to determine the height of a human being and distinguish between adults and children.

Hereinafter, a method of identifying the attribute information of the person as the moving body will be described. First, an image captured by the optical system will be described. As an algorithm for cutting out a person from an image, which is necessary before recognizing an attribute, a difference image between a captured original image and a background image without a moving body such as a person is obtained. Here, both the original image and the background image are digital images, and here, a plurality of background images are switched and used, or if the background image cannot be obtained successfully, the autoregressive moving average is used. It needs to be estimated using a model. Obtaining the difference image means that subtraction is performed for each pixel. In general, a person as a moving body has information different from the background, so that a portion having no person has a value of 0 and a portion having a person has a value other than 0. As a result, the subtracted value with a certain threshold value is binarized into 0 and 1. Then, a label is attached to the binarized image in order to distinguish each person, and this image is used as a mask for multiplication with the original image. As a result, the image information of only the person excluding the background is obtained, and the cutout of the person is completed.

Next, a method for determining the attribute of each obtained image will be described. In order to identify a person's attributes such as sex, age, or occupation, it is necessary to combine not only one condition but also some conditions to make a determination. That is, it is difficult to determine the attribute absolutely by using only one condition. Therefore, it can be said that the determination method based on the correlation between the plurality of conditions and the attribute is more accurate. The determination condition will be described below. The first condition is the identification of men and women by the presence or absence of skirts. Generally, since the skirt is a female costume, at least the person wearing the skirt can be determined to be a female if the presence or absence of the skirt can be determined. As a judgment method, if the direction in which a person stands is the vertical direction of the screen, the horizontal length from the waist to the bottom (for example, the lower half of the person's image) in each binary image is sequentially If the lengths change abruptly when arranged, it can be determined that the skirt is worn. Alternatively, it is possible to see the differential value of the sequence of the length and determine that the skirt is worn with a sharp change in the value. There are two possible methods for determining the length sequence, one in which the length is determined from the hips to the toes and the other in the sequence from the feet to the hips. Next, the second condition is gender discrimination based on the presence or absence of a beard. Since the beard is unique to an adult male, it can be used as a condition if its presence can be determined. As a determination method, if the color distribution around the mouth in the image of the face from the front of the person includes a color that is different from the color of the human skin to a certain threshold value or more, then it is considered to be considered as a beard. Further, since the approximate position of the mouth of a person is determined in order to extract the image around the mouth, the extraction position can be set in advance. Next, the third condition is gender / age discrimination by lip color analysis. That is, the presence or absence of lipstick is determined, and if lipstick is applied, it is determined that the woman is an adult woman. The determination method is to extract the mouth and take the color distribution in the same manner as the above-mentioned method. If the red component is above a certain threshold, it is determined to be female. Next, the fourth
The condition is the age discrimination based on the height difference. Since children are generally short, it is possible to distinguish between adults and children with a certain threshold from the height information of the image of a person. However, this is not an absolute requirement, as some adults are short and some children are tall, so this is used as an auxiliary requirement. If a sufficiently small value is used as the threshold, it can be used as a determination condition for a child. Next, the fifth condition is the identification of men and women by color analysis of clothes. The determination method is to obtain the color distributions of clothes for a plurality of men and women in advance and classify them using statistical processing. Then, the classification to belong to is obtained from the color distribution of the image of the target person, and the gender is determined.
This method is also not as distinct as the above-mentioned judgment of a man and a woman based on the height difference, and is used as an auxiliary condition. Furthermore, the sixth condition is the determination of male and female by the length of hair. Since there are generally more women with longer hair than men, it can be determined that a person with longer hair is more likely to be a woman. The determination method assumes that the top of a person's image is hair and obtains the same color distribution as that. Then, the hair length is determined from the shape. Alternatively, it is determined from the color distribution of the head of the image of the person whether the face is facing forward, sideways, or rearward. Next, when facing the front, the ratio of the area of the hair to the area of the head, and when facing the side or back, the ratio of the area of the hair to the area of the whole body. If it is above a certain threshold, it is determined that there is a lot of hair and that the hair is long. As other conditions, not only the above-mentioned skirt, but also clothing can be recognized and determined.

The above is for an image picked up by the optical system, but the other ones will be described below. First, a method using X-rays will be described. X
When using lines, not only the surface of the body but also the information inside can be known. Therefore, it is possible to discriminate between men and women based on their physical characteristics. Further, it becomes possible to accurately obtain the age of the person from the bone fault information. It is also possible to apply medical MRI technology to this. On the other hand, information on the height of a person in the image can be obtained from a stereo image, a reflected wave of laser light, or the like. The body type of the person can be obtained from it, and the gender can be identified. By combining these judgment conditions, it is possible to perform more accurate attribute recognition.

The following system can be realized by using the above-mentioned person attribute determining method. First, by determining the attributes of passers-by on the street, it becomes possible to control facilities such as changing the exhibit in the show window. For example, when applied to a store related to apparel, a display appealing to men, a display appealing to women, and the like are prepared, and a mechanism for exchanging them is provided. Then, it is possible to perform control such that they are replaced according to the gender ratio of passersby. Also, when applied to a restaurant showcase, depending on the attributes of the person who is watching it, it will strongly appeal by presenting a menu that children may like to children and a menu that women may like to women. be able to. Or CD, A
Even for bank terminals such as TM and interfaces between general computers and people, by judging the attributes of the person who receives the service and responding to each individually, it is possible to provide a friendly and detailed response. It will be possible.

The example of measurement using a television camera or the like has been described above. In addition to this, an infrared camera, a sound sensor,
The weight sensor can also be measured by a reception type sensor such as a sensor. It is also possible to perform measurement using a transmission type sensor such as an infrared sensor, ultrasonic wave, or radar.

First, with an infrared camera, it is possible to measure by detecting the heat generated from a moving body and imaging it.

In the sound sensor, the sound emitted by the moving body is detected and the frequency thereof is analyzed, whereby the number can be measured by separating the individuals or the total amount can be roughly estimated. Alternatively, it is possible to estimate the total number from the correlation between the loudness and the number of moving objects. Furthermore, by using a plurality of sound sensors, it is possible to measure the moving direction and moving speed of the moving body by frequency analysis.

The weight sensor measures the internal weight of a vehicle such as an elevator or a train and estimates the number of people from the measured internal weight. This can be applied to, for example, an escalator, an auto road, or a general vehicle, but it can also be embedded in a floor in a building, a general roadway, or a sidewalk to measure information about people or vehicles.

The odor sensor detects cigarettes, cosmetics, body odors and bad breath or carbon dioxide emitted by humans in the case of humans, and nitrogen or carbon oxide concentrations in the case of vehicles by analyzing its components, and The moving object can be measured from the correlation between the detected amount and the actual number. Further, the infrared sensor detects the presence of a moving object by traversing infrared rays emitted linearly. By arranging them vertically to the moving direction, the speed and direction of the moving body can be detected by the time difference and order in which the moving body crosses the infrared ray, and by arranging them in the height direction, the height of the moving body can be detected. It is possible to The same can be done with an ultrasonic sensor. Also,
It is also possible to detect moving objects by using radar.

If the TV camera does not have sufficient brightness, the measurement accuracy will drop. Therefore, for example, by measuring the brightness online with an illuminometer, the brightness of the infrared camera is lower than a predetermined value. Can be switched to.

On the other hand, when each mobile unit has a transmitter, the number, speed and direction of the mobile units in the vicinity are measured by a device that receives information from the transmitter, not by the measuring device as described above. In addition, by installing the receiving device at a plurality of places, it becomes possible to track the moving body in a wide range. Also, in the transmitted information, the attribute of the individual (for example, if it is a person, sex, age, name, address,
Telephone number, occupation, hobby, information you want to obtain, etc., if both cars, car number, car type, ownership, location, attribute of vehicle or person,
The flow can be grasped in more detail by including the destination / information to be obtained. Here, the transmitter can obtain the most accurate information if all mobiles have it, but it has a certain number and even if that information is measured, it can be sampled to estimate the overall flow. Is.

Details of the input / output device 2 of FIG. 1 are shown in FIG.
The input / output device 2 is a terminal for accessing information held by the system and operating various devices of the system. The input device is a keyboard, a mouse, a touch panel, a numeric keypad, and the like, and the output device is an output device. A general-purpose display, a dedicated panel, and the like are installed as the display device, and a plurality of printers and the like are combined in various patterns as the printing device. Especially, on the dedicated panel that displays the map of the target area, the installation location of the measuring device is LE
Not only the information displayed by D and the information measured by the measuring device is displayed by the display element using the LED or the liquid crystal, the ITV is also displayed.
When is used, the video that is actually being shot is displayed at the same time. Also, when there are a large number of measurement points, there is a limit in displaying all of them. In such a case, it can be dealt with by providing a function of selectively displaying what is required by a pointing device. Further, the input / output device can be combined in several ways depending on the way of the communication path, from fixed wired connection to movable wireless connection.

Details of the arithmetic unit 3 of FIG. 1 are shown in FIG. The computing device 3 is mainly composed of one or more measurement device-specific model creation mechanism 31, influence propagation model creation mechanism 32, factor analysis patterning mechanism 33, input control mechanism 34, and output control mechanism 35.
Have.

The input control device 34 has a role of sending the information sent from the measuring device 1 to the above-mentioned three mechanisms 31, 32 and 33, and a role of receiving an information providing request from the peripheral device. The output control mechanism 35 plays a role of sequentially providing the information held by the arithmetic unit.

The model-by-measuring device model forming mechanism 31 is a mechanism for patterning the number, speed, and direction of moving bodies at the measurement point with respect to date and time, and this serves as a prediction model of future states. Two models are considered: a long-term model 311 that represents a normal state in which similar patterns are averaged, and a short-term model 312 that is created by modifying the long-term model 311 according to the situation of the day. These two models are model memory 31
The information is held in No. 3, and the information can be provided to the outside upon request. In addition, since the moving body changes over time and day,
The model side is also provided with an error determination mechanism 314 that determines an error between the model and the actual measurement value and a model correction mechanism 315 that corrects the model based on the determination result in order to correspond to the above.

The influence propagation model creating mechanism 32 is a mechanism for creating a network model by digitizing the degree of influence of each of a plurality of measurement points using parameters. That is, it is a mechanism for quantifying the degree of influence of the information obtained at a certain measurement point with a certain time delay on the information at another measurement point. The time delay is calculated by the travel time calculation mechanism 321 using map information in the storage device described later. The movement time calculation mechanism 321 calculates the movement distance in the movable range because the area where the moving body can move is limited on the map. In addition, since the mobile body changes with the passage of time / day, the model side responds to the same as the model making mechanism 31 for each measuring device, and therefore the error between the parameter representing the model and the actual measurement value is determined. The error determining mechanism 323 for performing the correction and the parameter correcting mechanism 324 for correcting the parameter based on the determination result.

The factor analysis parameterizing mechanism 33 analyzes the degree of influence with respect to various factors that affect the number and speed of movement of the moving body, such as weather, temperature, humidity, day of the week, season, presence of an event, and the like. , Is a mechanism for parameterizing. For example, in the case of the influence of the weather, a parameter is extracted from the information in the case of fine weather and the information in the case of rain to reduce the influence of the rain by what percentage. This enables more accurate prediction in consideration of such factors.

Details of the storage device 4 of FIG. 1 will be described with reference to FIG. The storage device 4 roughly divides and stores three types of information. The first is map information 41 of the target area
And has the actual size of the facility and two-dimensional arrangement information. The second is information 42 on the facility in the target area, which has information on the position / size of the facility and the content / time / capacity of the service provided. Here, not only enumerating the service information but also dividing it into some categories and further creating a network of related ones, the request is abstracted concretely at the time of scheduling in the schedule device 5 described later. It can be used as information to convert to different requests and to provide alternatives to requests that cannot be fulfilled (service facility vacation, full capacity). Third is the arithmetic unit 3 described above
It is the model information 43 (model for each measuring device and influence propagation model) created in the above, and it stores not only the current information but also the past information.

Here, an embodiment in the case of being applied to a vehicle on a road and a parking lot will be described with reference to FIG. First, the measuring device is installed above the road in the target area and at the entrance of the parking lot as shown in FIG. However, A and B in FIG. 8 indicate parking lots. With this, it is possible to measure the number of vehicles entering and leaving the area and the number of vehicles entering and leaving the parking lot. FIG. 10 is a diagram showing the measurement situation of the vehicle at the entrance of the parking lot. Then, the information measured there, that is, the current number of vehicles, the traffic jam condition, and the fullness / vacancy can be displayed by a display panel provided at the entrance of a road or a parking lot as shown in FIG. 9 without human intervention. However, it takes time to move to the parking lot, so just displaying the current situation at a distant point may lead to a situation in which even if there is a vacancy in the parking lot, it will not be fully parked when it arrives. . Therefore, with the prediction model in the present invention created based on the past usage information, it is possible to calculate the prediction information such as how many minutes later the vehicle will be full, or how many minutes the waiting time will be. It is possible to make an accurate judgment by displaying the image according to the display device.

An example of using the present invention as a city planning support system will be described below. In city planning, decide where and what size of the city to create. At this time, it is desirable to make a plan so as not to be locally congested, taking into consideration the flow of vehicles and the flow of people in the town. Therefore, by measuring the flow of a moving body such as a vehicle or a person by using the measuring device of the present invention and modeling the flow, it is necessary to change a road or a sidewalk, and determine a service inside the new or rebuilt building. It becomes possible to provide information.

An example in which the present invention is applied to a required number predicting system in the case where preparation of a service takes time and preparation, for example, in the case of making a catered lunch in an exhibition hall, will be described below. It takes time to make a catered lunch,
Also, if you make it first, you will be served something cold and not delicious, and you will have to throw away the leftovers.
Also, if you make a small amount of it because you are afraid of wasting it, you will lose your business opportunity. Therefore, if the exact required number can be predicted, fresh delicious lunches can be made without waste. Therefore, by examining the correlation (for example, proportional relationship) between the number of moving bodies such as vehicles and people and the required number of bento boxes, it is possible to predict the exact required number of bento boxes from the measured number through the correlation function. .

FIG. 11 shows a case where the schedule device 5 is connected to the arithmetic unit 3 of FIG. Details of the schedule device 5 will be described with reference to FIG. The schedule device 5 has a model monitoring mechanism 51 for monitoring a change in the model in the arithmetic device 3, a mechanism 52 for receiving information about a plurality of use requesting facilities through the input / output device 2, and a use order / time for a plurality of use requesting facilities. Allocation mechanism 5
3 and a mechanism 54 for outputting the assigned information through the input / output device 2. The facility use order / time allocation mechanism 53 allocates the order and time from the list of facilities sent from the use request facility reception mechanism 52 and the prediction information by the model in the arithmetic unit. In this case, the time-priority allocation mechanism 53 assigns the plan that first gives priority to time and allocates the shortest time.
1 is presented, and while the cost / movement route (movement distance) is confirmed by using it as the original plan, the dialog modification processing mechanism 532 repeatedly changes / adds to the interactive form to determine the final plan. Here, an embodiment in the case where the present invention is applied to an apparatus for efficiently creating a schedule for traveling from a station to a department store, a bank or a government office will be described with reference to FIG. Fig. 13 shows the layout of stations, department stores, banks, and government offices on a map. By using measuring devices at the entrances and exits of each station, the number of people can be measured to show the usage status of each facility at that time. Recognize. However, since there is a general distance between the place where you are and each facility, it takes time to move, and the time you receive services there is also different, so it is not enough to have information at that time. Therefore, by creating the prediction model of the present invention based on the information from the measuring device attached to each facility, it is possible to estimate the future usage situation, and it becomes possible to set up a more accurate schedule based on that information. . Specifically, a model for predicting the number of users per hour as shown in FIG. 14 is created based on the measured past information and information such as the date and weather of the day. Based on this information and the information about the service time in the storage device as shown in FIG. 15 and the information about the travel time obtained from the map information, the schedule device searches for and presents an order in which the start and end times can be traveled in the shortest time as a constraint condition. To do. Further, when a schedule is set up, the target facility may not be available, for example, in this example, the department store may be closed. At that time, it is also possible to search the storage device, find a similar facility as an alternative, and use it to make a schedule. The final plan of the schedule as shown in FIG. 16 is decided by repeating the above-mentioned interactive modification using the plan thus obtained as the original plan.

FIG. 17 shows the case where the facility drive device 6 is connected to the arithmetic unit 3 of FIG. 1, and FIG. 18 shows the case where the facility drive unit 6 is connected to the arithmetic unit 3 of FIG. FIG. 17
Details of the facility driving device 6 will be described with reference to FIG. The facility driving device 6 receives the information of the moving body from the computing device 3 at a certain time interval. In the drive device, the information (measurement number) is first received by the mobile body information conversion mechanism 61. The conversion mechanism outputs the actual operation amount and operation sequence for driving the facility based on the sent information. Internally, the operation amount and sequence are determined by condition judgment and fuzzy judgment. Then, the actuator operating mechanism 62 actually drives the facility 63 based on the output information. here,
As shown in FIG. 20, at the place where the moving body passes,
If artificial lighting, music, fountains (including artificial waterfalls and artificial rivers) devices (light amount adjusting device 621, water amount adjusting device 622, volume adjusting device 623, etc.) that can adjust the type and amount are used as this drive device, It will play a role as an environment calculation system that changes the environment according to the activity situation. For example, when considering a person as a moving body, in the moving body information conversion mechanism, when the number of people is large and the speed is fast, it is a quiet static when it is going to work and leaving in the morning and evening, and the number of people is large and the speed is slow. If the event is held and it is a hazy production, if there is a small amount of people and the speed is fast, it is a holiday and a light production, and if the amount of people is small and the speed is slow, it is a night and a moody production. Procedures are performed. Further, by adding media such as video and laser to this, the effect of production can be enhanced. In addition, here, in FIG.
Taking a movable wall or partition as an example of the facility drive device 6 shown in Fig. 1, a facility is provided with a plurality of service functions with different usage time zones at the same time, and the measurement of the time zone / people flow as a moving body. Information can change the capacity of the service. For example, in the case of a cafeteria and a conference room, the cafeteria has its peak usage at lunch and dinner, but at other times it is open. On the other hand, the conference room is used in the opposite way. By realizing these in one facility,
It is possible to eliminate wasteful space and improve the operating rate of facilities. However, if the service contents (diner and meeting room) are all replaced depending on the time of day, the service will be reduced (though the needs are small, they will be discarded). Therefore, in order to provide the two in a well-balanced manner, it is necessary to grasp the needs as human flow from the measuring device, and actually change the capacity by the movable walls and partitions according to the distribution obtained thereby. (FIG. 21 shows a view from above the movable wall or partition and a view from diagonally above.)
Here, an example in which the moving body / facility control system in the above-described embodiment is applied to an evacuation guidance system when a disaster such as a fire occurs will be described with reference to FIGS. 22 and 23. In the event of a disaster, building managers must direct people in the building to the proper routes and evacuate them safely. For that purpose, it is necessary to grasp the accurate personnel distribution inside. This is done by installing the above-mentioned measuring device at the building entrance and each floor (elevator entrance, staircase entrance) / tenant entrance, and measuring the number of people coming and going,
It will be possible. Then, by sending the information on the measured number of people to the command center, the center displays the information on a map showing the disaster points and the personnel distribution as shown in FIG. 22, and an appropriate evacuation plan can be made there. In the evacuation plan, considering the distribution of personnel and the capacity of the evacuation stairs and evacuation exits, the flow of people that does not congest locally is assumed, and the display is based on that. Then, the guidance route is instructed by using a general-purpose display device, a voice output device such as a speaker, or the like by a dedicated or LED matrix as shown in FIG.

Further, in connection with the evacuation guidance, by measuring the number, speed, and direction of people and vehicles in a building or on a street corner, and when the measured values change suddenly,
The present invention as a disaster / accident detection / countermeasure system for preventing damage from spreading before it is judged that some kind of disaster / accident has occurred, and information is provided to related organizations, or an action instruction display that avoids the location is displayed. Can be applied.

An example in which an air conditioner in a building is applied as the above-mentioned facility drive device is shown below. Generally, air conditioning such as heating in winter and cooling in summer requires some time to reach a predetermined temperature. Therefore, conventionally, it has been necessary to wait in an uncomfortable state until the user of the building arrives at the building and obtains a comfortable environment. This is a problem especially in buildings such as high-rise office buildings and department stores where many people come and go. Therefore, by applying the above-described mobile body / facility control system, the number of people visiting the building can be predicted in advance, and thus the operation of the air conditioner can be dynamically and beforehand adjusted depending on the number. Specifically, the number of people arriving at a station or bus stop where people are generated is measured, and the information is modeled by a processing device. With this, it is possible to predict how many minutes later the number of people will go to the target building.
The air conditioner as a facility drive receives that information,
The air conditioning amount is adjusted by a predetermined operation amount.

Further, when the present invention is applied to the control of an automatic door, it is possible to open the door continuously not only in the vicinity of the door but also in a wider range, so that the people passing by can open continuously even if the distance is small. Can be stored. This makes it possible to prevent an accident in which a person is caught in the door at a delicate timing after passing by. Also, when opening and closing the doors of vehicles such as elevators, for example, by measuring the speed and attributes of a moving person, if the person is judged to be an elderly person or a sick person, the timing of closing the door according to the slow motion. It is possible to control so as to slow down.

Although the measuring device according to the present invention is installed, it can be attached to a dedicated measuring instrument such as a dedicated pole. However, when looking down from above, a street lamp is used, when measuring from the side, trees or fire hydrants. Install it together with something that is normally there, such as. By installing it in a place that is invisible to the moving body, it is possible to prevent the deterioration of the landscape and to perform the measurement without making the moving body aware.

[0050]

By using the present invention, useless time such as waiting time and useless cost can be reduced, and time, resources and assets can be effectively used. Further, since it becomes possible to recognize the attribute of the moving body, the control accuracy of the facility etc. is improved accordingly.

[Brief description of drawings]

FIG. 1 is a configuration diagram of a system that is an embodiment of the present invention.

FIG. 2 is a configuration diagram of the measuring apparatus of FIG.

FIG. 3 is a diagram showing an outline of processing in an observation information processing device in the measurement device of FIG.

FIG. 4 is a diagram showing a processing range when an intersection is measured by a measuring device.

5 is a diagram showing a specific example of the input / output device of FIG.

FIG. 6 is a functional block diagram of the arithmetic processing device of FIG. 1.

7 is a diagram showing a storage device in the storage device of FIG. 1. FIG.

FIG. 8 is a diagram showing an installation example of a camera when the present invention is applied to a parking lot.

FIG. 9 is a diagram showing display contents of a display plate when the present invention is applied to a parking lot.

FIG. 10 is a diagram showing a state of a vehicle at a parking lot entrance / exit portion of FIG. 8;

FIG. 11 is a configuration diagram of a system that is another embodiment of the present invention.

12 is a functional block diagram of the schedule device in FIG. 11. FIG.

FIG. 13 is a diagram showing an arrangement of facilities which are targets of schedule creation.

FIG. 14 is a diagram showing an example of a model in which the number of users is predicted every hour.

FIG. 15 is a diagram showing information in a storage device.

FIG. 16 is a diagram showing an example of output from the schedule device.

FIG. 17 is a configuration diagram of a system that is another embodiment of the present invention.

FIG. 18 is a configuration diagram of a system that is another embodiment of the present invention.

FIG. 19 is a diagram illustrating an outline of processing of the facility driving device of FIGS. 17 and 18;

FIG. 20 is a diagram when applied to a system for producing the environment of the present invention.

FIG. 21 is a diagram showing a movable partition that is an example of a facility drive device.

FIG. 22 is a diagram showing a display example showing disaster points and personnel distribution in the evacuation guidance system.

FIG. 23 shows an evacuation guidance display example in the evacuation guidance system.

[Explanation of symbols]

1 ... Measuring device, 2 ... Input / output device, 3 ... Arithmetic device, 4 ... Storage device, 5 ... Schedule device, 6 ... Facility drive device.

─────────────────────────────────────────────────── ─── Continuation of the front page (51) Int.Cl. ⁵ Identification number Reference number within the agency FI Technology display location G08G 1/09 C 7103-3H (72) Inventor Kenji Baba 4026 Kuji Town, Hitachi City, Ibaraki Prefecture Co., Ltd. Hitachi Research Laboratory, Hitachi, Ltd. (72) Yasuo Morooka 4026 Kuji Town, Hitachi City, Hitachi, Ibaraki Prefecture Hitachi Research Institute, Ltd., Hitachi Research Institute, Ltd. (72) Takayoshi Yokota 4026 Kuji Town, Hitachi City, Ibaraki Hitachi, Ltd. In-house (72) Inventor Junzo Kawakami 4026 Kuji-machi, Hitachi City, Hitachi, Ibaraki Hitachi Ltd. (72) Inventor Takashi Kiyokawa 5-2-1 Omika-cho, Hitachi City, Ibaraki Hitachi Co., Ltd. Omika Factory

Claims (15)

[Claims] 1. Measuring means for measuring a moving body, recognizing means for recognizing an attribute from the moving body obtained by the measuring means, attribute information of the moving body obtained by the recognizing means, and movement of the moving body. A moving body / facility control system, which controls at least one of a moving body and a facility based on information indicating a state of a facility as a purpose. 2. An image pickup means for picking up an image of a moving body flowing into or out of the facility, a recognition means for recognizing an attribute of the moving body from the image information of the taken moving body, and a state of the facility. A storage unit for storing information; and a unit for changing the state of the facility from the recognized attribute information of the mobile unit and the information indicating the state of the facility, and the state of the facility according to the attribute of the mobile unit. A mobile / facility control system characterized by controlling 3. The mobile body facility control system according to claim 1, wherein the mobile body is a person, and the attribute is at least one of sex and age. Control system. 4. The moving body / facility control system according to claim 2, wherein the recognizing means recognizes an attribute of the moving body by using color information of image information of image information of the moving body. Body / facility control system. 5. The state of at least one of the number, speed and direction of moving bodies is measured and recognized, and the state of the facility that is the movement target of the moving body is changed based on the result of the measurement / recognition, or A moving body / facility control system characterized by displaying the state of the facility. 6. A measuring means for measuring at least one state among the number, speed and direction of moving bodies, information indicating a condition of a moving area of the moving bodies, or information on facilities used by the moving bodies. Storage means, an arithmetic means for processing the information from the measuring means and the storage means, and an input / output means for accessing the information processed by the arithmetic means and displaying the information. Mobile / facility control system. 7. The mobile body / facility control system according to claim 5, wherein the information on the facility used by the mobile body includes at least one of a position, a configuration and a service of the facility. 8. The storage device according to claim 5, wherein the storage means stores the information measured by the measuring means, and the computing means creates a prediction model for the moving body and the facility from the stored information. A mobile / facility control system characterized by. 9. The mobile object according to claim 8, wherein the calculation means updates the created prediction model.
Facility control system. 10. The moving body / facility control system according to claim 8 or 9, further comprising drive means for driving the facility based on the information of the prediction model. 11. The model created by the arithmetic unit according to claim 8 or 9, wherein the information of the moving body is classified and averaged according to the days of the week and holidays when the information of the moving body is measured, and the weather and temperature at that time are further classified. -A mobile / facility control system characterized by numerically expressing the effect of humidity as an effect coefficient. 12. The information processing apparatus according to claim 8, wherein the arithmetic means propagates the mutual influence of information in each measuring means by some parameters from the information of the moving body from a plurality of discretely arranged individual measuring means. A moving body / facility characterized in that a model describing the relationship is created, and a time delay of its influence propagation is calculated based on information indicating the condition of the moving area of the moving body stored by the storage means. Control system. 13. The required time and cost according to claim 8 or 9, using the list of use requesting facilities input from the input / output means and the prediction information of the facility use of the mobile body of the model created by the calculating means. A moving body / facility control system, characterized in that the moving body / facility control system is provided with a schedule creating means for forming a facility use schedule of a moving body by changing a weight of a moving distance evaluation scale. 14. The measuring device according to claim 5 or 6, wherein the measuring means installed at the entrance of the facility calculates the usage status and waiting time at the facility based on the measurement information and the service capacity information of the facility. A moving body / facility control system characterized by being provided with means for displaying. 15. The moving body / facility control system according to claim 10, wherein the drive means changes the size of the facility.