JP2002302348A - Elevator control device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an elevator control device allowing the allotment of cars in number adequate for jammed floors for an elevator system having a plurality of elevators as one group. SOLUTION: The elevator control device comprises car stop cameras 1B and car cameras 1A for detecting the jammed condition of elevator car stops and cars, car stop area detecting means 3A and car area detecting means 3B for measuring passenger areas of the current elevator car stops and car occupied areas in accordance with the outputs of these cameras, additional allotment determining means 3C and traffic information learning means 3G for predicting future degrees of jam in both the elevator car stops and the cars in accordance with the outputs of these detecting means and past learning results, and allotment computing means 3D and operation control means 3E for allotting the plurality of cars on the car stops in accordance with the prediction results.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an elevator control apparatus for efficiently allocating a car by measuring the congestion degree in a landing and a car in advance in an elevator system having a plurality of elevators as a group. is there.

[0002]

2. Description of the Related Art Conventionally, a method for arranging one or more cars in advance for a highly congested landing even if no call is registered at the landing to improve the operation efficiency has been used. . As this dispatching method, a method of setting a congested floor in a congested time zone in advance and distributing the vehicle is common, but it is not a method of accurately detecting the congestion degree of the landing at the present time and accurately distributing the vehicle. . In order to solve this, there is an elevator control device as disclosed in, for example, Japanese Patent Application Laid-Open No. 8-161292. In this method, a congestion degree detection device is attached to an elevator hall, and the elevator is preferentially stopped at a congestion floor according to the hall congestion degree measured by the congestion degree detection device.

As a method of detecting the degree of congestion in an elevator, a method of measuring the weight in the elevator by a weighing device attached to the elevator is generally used.
However, in this case, it is not possible to measure the congestion degree due to the area of a shopping cart such as a shopping cart having a large area and a small weight. In order to solve the above problem, there is an elevator control device as disclosed in, for example, JP-A-6-144718. In this method, a device for detecting an object is installed in an elevator to measure the congestion degree in the elevator in terms of area, and when the occupied area in the elevator reaches a certain value or more, a full passage is detected.

[0004]

However, in the elevator control apparatus disclosed in Japanese Patent Application Laid-Open No. Hei 6-144718, the congestion degree of the elevator or the landing is measured not by the number of passengers but by the area, and the information is used as the basis. In addition, although it is determined whether or not to stop at the landing, the exact number of cars will not be dispatched to the congested floor while considering the congestion degree of both the elevator and the landing, so the exact number of cars on the congested floor There was a problem that a car could not be dispatched.

SUMMARY OF THE INVENTION The present invention has been made to solve the above-described problems, and it is an object of the present invention to allocate an appropriate number of cars to a congested floor for an elevator system including a plurality of elevators as a group. It is an object of the present invention to provide an elevator control device capable of performing the following.

[0006]

According to a first aspect of the present invention, there is provided an elevator control apparatus for detecting an elevator hall and a congestion state in a car, and the present elevator hall based on an output of the detector. Measuring means for measuring the passenger area of the car and the occupied area in the car; predicting means for predicting the future congestion degree of both the elevator hall and the car based on the output of the measuring means and the past learning result; Vehicle distributing means for distributing a plurality of cars to the landing based on the output of the means.

According to a second aspect of the present invention, in the elevator control apparatus according to the first aspect, the detecting means is mounted in the car and detects a total area of passengers and luggage in the car. And a landing camera attached to the landing and detecting the total area of passengers and luggage at each landing.

According to a third aspect of the present invention, in the elevator control apparatus according to the second aspect of the present invention, the measuring means calculates an occupied area in the car based on the detection information of the in-car camera. And a landing area detecting means for calculating a passenger area at each landing on the basis of the detection information of the landing camera.

According to a fourth aspect of the present invention, in the elevator control device according to the third aspect of the present invention, the prediction means includes a traffic information learning means for performing various traffic predictions based on past traffic data; The additional allocation determining means determines whether or not to perform additional allocation based on the output of the means and the various traffic prediction information generated from the outputs of the in-car area detecting means and the landing area detecting means.

According to a fifth aspect of the present invention, in the elevator control device according to the fourth aspect of the present invention, the dispatching means determines an optimal assigned car using a group management rule based on an output of the additional assignment determining means. It comprises an assignment calculating means and an operation control means for issuing an operation command to each car based on the assignment result of the assignment calculating means.

[0011]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described.
This will be described with reference to the drawings. Embodiment 1 FIG. FIG. 1 is an explanatory diagram showing a state of detection of a congestion degree using a camera in a car for detecting congestion degree in a car and a hall camera for detecting congestion degree in a hall in the present invention, and FIG. It is a figure showing the example of the whole composition of the management control device. In FIG. 1, an in-car camera 1A mounted in a car detects the total area of passengers and luggage 2A in the car. The in-car camera 1A is installed in all the cars. At the landing, passengers and luggage 2B at each floor landing are captured by a landing camera 1B attached to the landing.
The total area of is detected. This is the floor of each floor, all passengers,
Attach the required number of cameras so that the baggage can be detected.

The group management control device shown in FIG. 2 includes the units and devices 3A to 3I described below.
Each means and device of A to 3I is substantially constituted by software on a microcomputer. These are a landing equipment control device 3H for controlling the landing equipment, each car control device 3I for controlling each car, a landing equipment control device 3H,
A communication interface 3F for performing communication and data transmission with each control device 3I, a hall camera 1B attached to each hall and detecting a congestion state in the hall, a car attached to each car and detecting a congestion state in the car A landing area detecting means 3A for calculating an area at each floor based on the detection information of the inner camera 1A and the landing camera 1A, and an in-car area detecting means 3 for calculating an area in the car based on the detection information of the in-car camera 1A.
B, traffic information learning means 3G for performing various traffic predictions based on past traffic data, additional allocation based on the calculated landing area / car area and various traffic prediction information generated from the traffic information learning means 3G. Additional allocation determining means 3C for determining whether or not to perform the operation, allocation calculating means 3D for determining an optimum allocated car using the group management rule, and operation control for giving an operation command to each car based on the allocation result of the allocation calculating means 3D. Means 3E.

Next, the operation will be described with reference to FIGS. FIG. 3 is a diagram showing the state of detection of congestion in the car and the hall at the time of registration of the hall call, and the situation of performing additional allocation. FIG. 4 is a flowchart showing the process from hall call registration to additional allocation determination. . When a call is registered at the hall, it is determined whether or not additional allocation is necessary, and if necessary, the required number of cars are allocated to the hall call registration floor. Hereinafter, a specific method thereof will be described with reference to FIGS.

Assume that the hall call 4 is registered on the seventh floor as shown in FIG. 3 (step S40 in FIG. 4). At this time, an assignment calculation is performed by the assignment calculation means 3D to determine an assigned car (step S41). As a result, the basket 5 of # 2 in FIG.
Is selected. When the call is registered and the assigned car is determined, the current car occupied area (area of 2A) of the car 5 is obtained by the in-car camera 1A by the in-car area detecting means 3B in step S42. In step S43, the current landing passenger area (2B) is determined by the landing area detecting means 3A by the landing camera 1B.

Next, the assigned car 5 is a hall call registration floor (FIG. 3).
In step S44, the predicted occupied area in the car upon arrival at the hall call registration floor and the estimated landing passenger area upon arrival at the hall call registration floor at the time of arrival at the seventh floor are added allocation determination means 3C.
Is calculated by The estimated area occupied by the car upon arrival at the hall call registration floor is calculated by the following formula.

Predicted car occupancy area at arrival at floor call registration floor = Current car occupancy area + Predicted car increase area (If the total car interior area is exceeded, predicted car occupation area at arrival at the hall call registration floor = (Total area in the car) (If the floor call floor is the lowest floor or the top floor, the predicted car occupation area at the time of arrival at the floor call registration floor = 0)

Here, the predicted car interior area is a predicted value of the car interior area that increases from the current car position to the arrival at the hall call registration floor. This is obtained by learning based on past traffic data in the traffic information learning means 3G.

The estimated landing passenger area upon arrival at the landing call registration floor is obtained by the additional allocation determining means 3C according to the following equation (step S45). Estimated landing passenger area when arriving at the hall call registration floor = Current yard passenger area by direction + expected arrival time at the hall call registration floor ×
Here, since the passengers at the landing have the passengers heading in the UP direction and the DN direction, the passengers are separated according to the landing call registration direction, and the current direction-specific landing passenger area is obtained. The past learning result is used as a method for separating the hall call registration directions, which is calculated by the traffic information learning means 3G.

The estimated arrival time at the hall call registration floor is a predicted value of the time required to arrive at the hall call registration floor from the current car position, and is calculated in consideration of the car traveling time and the estimated number of stops on the way. The predicted number of stops is calculated using a past learning result or the like (traffic information learning means 3G). The hall call registration floor area increase rate by direction is a predicted value of the passenger area generated per unit time in the call registration direction, and is obtained by using a past learning result or the like (traffic information learning means 3G).

If the following conditions are satisfied in step S46, additional allocation is performed (to step S47). Estimated area occupied in the car at the time of boarding> Total area in the car Estimated area occupied in the car at the time of boarding = Estimated area occupied in the car when arriving at the hall call registration floor + Estimated occupant area in the arriving hall registration floor The process ends.

In step S47, additional allocation determination processing must be performed again by the additional allocation determination means 3C for passengers or luggage expected to be left unloaded in the allocated car 5;
According to the following formula, the remaining passengers or luggage are set as the current landing passenger area. Current passenger area of the landing = predicted car occupancy area at boarding-total car area

After step S47, the flow returns to step S41 to perform an allocation calculation process, determine an additional allocation car (select the additional allocation car 6 in FIG. 3), repeat the above processing, and finally select an appropriate number of cars. Can be dispatched.

Further, if the processing shown in FIG. 4 is performed not only at the time of hall call registration but also at regular time intervals or immediately before the car arrives at the floor where the hall call occurs (first floor or near the second floor),
Furthermore, the prediction accuracy of unloading the landing is increased.

[0024]

As described above, according to the first aspect of the present invention, the detecting means for detecting the congestion state in the elevator hall and the car, and the current passenger area of the elevator hall based on the output of the detecting means And measuring means for measuring the occupied area in the car, predicting means for predicting the future congestion degree in both the elevator hall and the car based on the output of the measuring means and past learning results, and the output of the predicting means And a vehicle allocation means for allocating a plurality of cars to the landing based on the above, so that the exact number of cars can be allocated to the congested floor while considering the congestion degree of both the elevator and the landing. There is.

According to the second aspect of the present invention, the detecting means is mounted in the car, detects the total area of passengers and luggage in the car, and a camera in the car, and is mounted on the landing. And a landing camera for detecting the total area of passengers and luggage at each landing, so that it is possible to contribute to distributing an appropriate number of cars on a congested floor.

According to a third aspect of the present invention, the measuring means calculates the occupied area in the car based on the detection information of the car camera, and the car area detection means calculates the occupied area in the car, and the detection information of the hall camera. And a landing area detecting means for calculating the passenger area at each landing on the basis of the above, there is an effect that it is possible to contribute to distributing an appropriate number of cars on the congested floor.

According to the fourth aspect of the present invention, the prediction means includes: a traffic information learning means for performing various traffic predictions based on past traffic data; an output of the traffic information learning means; Means and additional allocation determining means for determining whether to perform additional allocation based on various traffic prediction information generated from the output of the landing area detecting means, so that an appropriate number of cars can be allocated to a congested floor. There is an effect that it can contribute.

Further, according to the fifth aspect of the present invention, the dispatching means includes: an assignment calculating means for determining an optimum assigned car using a group management rule based on an output of the additional assignment determining means; And an operation control means for issuing an operation command to each car on the basis of the result of the allocation of the cars, so that it is possible to contribute to allocating an appropriate number of cars to the congested floor.

[Brief description of the drawings]

FIG. 1 is a diagram showing a state of congestion detection by a camera in a car and at a landing in Embodiment 1 of the present invention.

FIG. 2 is a diagram illustrating an overall configuration example of an elevator group management control device according to the first embodiment of the present invention.

FIG. 3 is a diagram showing a situation of detecting the congestion degree of a car and a hall and performing additional allocation at the time of hall call registration according to the first embodiment of the present invention.

FIG. 4 is a flowchart showing from a hall call registration to an additional split determination according to the first embodiment of the present invention.

[Explanation of symbols]

1A camera in the car, 1B landing camera, 2A passenger and luggage in the car, 2B passenger and luggage in the landing,
3A landing area detecting means, 3B car area detecting means,
3C additional allocation determining means, 3D allocation calculating means, 3E
Operation control means, 3F communication interface, 3G traffic information learning means, 3H hall equipment control unit, 3I equipment control unit for each car, hall call, 5 assigned car, 6 additional assigned car.

Claims (5)

[Claims] Detecting means for detecting a congestion state in an elevator hall and a car; measuring means for measuring a current passenger area of the elevator hall and an occupied area in the car based on an output of the detecting means; Prediction means for predicting the future congestion degree in both the elevator hall and the car based on the output of the measuring means and the past learning result; and a vehicle allocation for allocating a plurality of cars to the hall based on the output of the prediction means. Means for controlling an elevator. 2. The above-mentioned detecting means is mounted in the car and detects the total area of passengers and luggage in the car. The camera in the car is mounted on the landing and detects passengers and luggage at each floor. 2. The elevator control device according to claim 1, further comprising a hall camera for detecting a total area. 3. The in-car area detecting means for calculating an occupied area in the car based on the detection information of the in-car camera, and the passenger area in each floor hall based on the detection information of the hall camera. 3. The elevator control device according to claim 2, further comprising a landing area detecting means for calculating the landing area. 4. The prediction means includes: traffic information learning means for performing various traffic predictions based on past traffic data; and output from the traffic information learning means and outputs from the car area detection means and the landing area detection means. 4. The elevator control device according to claim 3, further comprising: an additional allocation determining unit that determines whether to perform additional allocation based on the generated various types of traffic prediction information. 5. The vehicle allocation means according to claim 1, further comprising: an allocation calculating means for determining an optimum allocated car using a group management rule based on an output of said additional allocation determining means; and each car based on an allocation result of said allocation calculating means. 5. An elevator control device according to claim 4, further comprising an operation control means for giving an operation command to the elevator.