FI112789B - Method and apparatus for assigning floor calls to elevator baskets by an elevator group - Google Patents

Description

112789

The present invention relates to a method and a device for implementing a method for distributing a call from a floor to a solution for lifting elevators, solution deployment.

The counting function should be used to distribute invitations to elevator cars according to specific optimization criteria in a type-specification device, whereby, for example, the minimum average waiting time or maximum transport capacity of all passengers can be used as an optimization criterion or operational objective. One important aspect of the call allocation is the prevailing traffic conditions, in which case there are in principle three different traffic categories depending on the circumstances, namely interlayer traffic, uplink traffic and downward traffic.

EP-B-0 032 213 and EP-A-0 356 731 disclose, for example, group control devices for interlayer communication, in which devices calculate, by mathematical formulas, the amount of passengers corresponding to waiting times, called operating costs. The basis for the calculation is then the waiting times of the passengers on the floors and at the stops in the elevator cars and the maturity of the passengers in the elevator cars. driving times for publishers. The operating costs obtained for each elevator in the group are compared with each other, whereby the given call is routed to the elevator car having the lowest operating capacity. '.' 25 labor costs. In this way, the average waiting time for all passengers should be minimized. Such control is based on a formula for calculating a predetermined operational objective. To achieve another operational objective, such as minimizing long waiting times, these devices are not suitable.

Elevator group controls of the type mentioned above, such as those described in DE-A-18 03 648 or EP-B-0 091 554, are often provided with devices for controlling downward and / or upward traffic. With such devices, in the event of major traffic collisions, where the direction is to one of the main stopping points, for example, after completion of work in an office building, the building can be completed in a relatively short time. In this case, the devices can be activated by means of a clock or a measuring device which detects the traffic flow in the direction of the main stopping point, thereby simultaneously reducing or completely interrupting the call service in the upward direction. The control algorithm or the Las-5 field formula is based, above all, on the latter device as well as on minimizing the waiting time of passengers and increasing the transport power of the elevator group.

Until the above-mentioned switching clock or traffic flow measuring device becomes effective, it may take a considerable amount of time to control both interlayer traffic and downward peak traffic. This may occur, for example, at the start of a lunch break, at the end of office hours, or when traffic suddenly increases at the end of a conference in one or more intermediate layers. In this case, few passengers occupy the elevator cars for going up, and many passengers who want to drive down will have to wait for an extremely long time. Moreover, in such a case, the transport capacity is poorly utilized.

It is an object of the invention to provide a method and apparatus for carrying out such a method at the outset, which, while avoiding the drawbacks described above, is always provided with elevator control appropriate to the particular operational objectives and traffic conditions so as to provide optimal paging.

This object is solved by the invention disclosed in claims 1 and 3.

• ;; In this case, the Solution Selector calculates, starting with the first solution given: * · '. 25 other possible solutions for call division, which solutions are passed to the simulator. The traffic modeling device coupled with the simulator delivers the information that the simulator generates for decision purposes in terms of passengers and / or elevator components. On the output side, the simulator is connected to a computation module which: by means of a computation function, evaluates the optimization criteria using the factors contained therein, so that possible solutions corresponding to the optimization criteria and the traffic conditions are found. On the output side, the calculation module is connected to a solution selection device, which is used to select the best solution for call allocation.

112789 3

The advantages of the invention are in particular that the elevator control automatically adapts to the given operational objectives or optimization criteria and changes in the traffic conditions. The optimization criteria in the computing module can be easily and quickly modified, which advantageously affects the specific requirements of the user of the elevator equipment.

The invention will now be described in more detail with the aid of the exemplary embodiment shown in the drawings.

Figure 1 shows a block diagram of a device according to the invention.

Figure 2 shows a graph of passenger waiting and traveling times.

Figures 3a and 3b show two diagrams showing the waiting time as a function of the number of passengers switching from interlayer traffic to downward peak traffic.

In Fig. 1, reference numeral 1 denotes a traffic modeling device communicating with a simulator 2 constituting factors relating to passengers and / or elevator components. On the output side, the simulator 2 is connected to a calculation module 3, which is connected on the input side with an unrepresented interface through which the optimization criteria can be provided. The calculation module 3 is on the output side, communicating with the solution selection device 4, to which data is input: the current status of the elevator cars and the calls made, and which device: '. ·. The 25 outlets are connected to the simulator 2. Situation module 5 is. : ·. connected to the simulator 2 and the solution selection device 4. As shown in Fig. 2, the waiting time of the passengers is marked on the x-axis and the travel time on the y-axis, where: v. the occupants are marked with dots in the two-dimensional factor mode. * ', The conversions are observed in the simulator 2. Information is derived from these arrangements, for example, for the calculation of the traffic density, which is proportional to the number of points. For example, a neutral data network can be used to distinguish and detect clustered point accumulation, which, after the learning process, '' can adapt so that the most diverse patterns can be identified. If factors related to elevator components are required in the calculation, 112789 4 can be performed as described above, for example, factors such as energy consumption and number of door openings are projected into the factor mode.

Figures 3a and 3b, which exemplify some of the advantages of the device 5 according to the invention, show the number of downlink passengers on the x-axis and the average wait time on the y-axis, 100% corresponding to the average wait time detected by conventional device. In the case of three passengers with upward calls, the change in mode of operation (increasing number of passengers with downward calls) results in an improvement in the average waiting time of about 10% (Figure 3a) and up to 20% (Figure 3b). In Fig. 3a, a better intermediate layer or downhill peak communication program was chosen as the reference. In Figure 3b, the program reference is automatically changed if the number of passengers with downward calls exceeds five (identification line A) or eight (identification line B).

15

The device described above operates as follows. The solution selection device 4 discovers possible solutions for the allocation of calls depending on the instantaneous situation of the elevator car and said calls and starting with the first solution calculated according to conventional rules. For this purpose, for example, a method called "alpha pruning" -20 is used. Here, a "tree" is formed, the branches of which are arranged with elevator baskets and the invitations serving them, thus presenting the possible solutions sought. The search for solutions to a given situation ends when. , ·, The latter changes. Probably the best solution is led to simulator 2. Simulator 2 receives information from the traffic modeler about the probable number: '. , 25 for waiting passengers on the floor, and ratings for their potential me .1: '. nokohteita. From this data, the factors (Figure 2) are probably generated for the best solution and transferred to the computation module 3. The computation module 3 evaluates: v, by means of the computation function, using the optimization criteria of the factors to find. ·. a solution that meets optimization criteria and traffic conditions. This solution is led to a solution selection device 4 which checks whether it is the best solution for paging. If it is not the best, one of the possible solutions is sought. The status assessment module 5 analyzes the current situation based on the information obtained from the simulator '' 2 and draws a conclusion from the future situation, taking into account the best solutions found. If the best 112789 5 solution now found in the call division would lead to an extreme situation, such as bunching of elevator cars, this solution would be rejected based on the evaluation of the situation assessment module 5.

The apparatus described above can be used for both layer call allocation and also destination call allocation, i.e., call distribution from layers to the desired destination layer.

Claims (4)

1. Method for assigning the calls given from the floors to lift baskets in a lift group, using a counting function to calculate call allocation solutions and find the best solution for use, characterized by: - the instantaneous lifting and giving calls situation is led to a solution weighing device (4), - that the solution weighing device from a first given solution calculates other possible solutions for the call assignment, 10. that the possible solutions are led to a simulator (2), - that they from a traffic model device (1) the information received is transmitted to the simulator (2), - that the simulator (2) for each solution forms factors that have to do with passengers and / or lift components, 15. that the factors are led to a calculator module (3), - to the calculator module (3). ) are given optimization criteria, - that the calculation module (3) estimates the optimization criteria with the help of the calculation function. using the factors such that one can find the possible solutions that meet the optimization criteria and traffic conditions, and 20. finding possible solutions is led to the solution selector device (4), with the help of which the best solution for call assignment is selected. 2. A method according to claim 1, characterized in that - information is passed from the simulator (2) to a situation estimation module! (5), that the situation estimation module (5) on the basis of the information analyzes the respective situation and by considering the best solution for call allocation; *, appreciates the coming situation, and t I '(- that in conjunction with an adverse result of the estimation found the best; the solution is rejected. » Apparatus for realizing a method according to claim 1, characterized in that the traffic model device (1) is combined with the simulator (2), which output side of the simulator communicates with the calculation module (3), and that the calculation module (3) on the output side is connected to the solution selector device (4) and on the input side with a coupling (Interface), and the solution selector device (4) on the output side 5 communicates with the simulator (2). 4. Apparatus for realizing a method according to claim 2, characterized in that the situation estimation module (5) is combined with the simulator (2) and the solution selection device (4).