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JP4720126B2 - Neckwork type elevator group management control device - Google Patents

Neckwork type elevator group management control device Download PDF

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JP4720126B2
JP4720126B2 JP2004248187A JP2004248187A JP4720126B2 JP 4720126 B2 JP4720126 B2 JP 4720126B2 JP 2004248187 A JP2004248187 A JP 2004248187A JP 2004248187 A JP2004248187 A JP 2004248187A JP 4720126 B2 JP4720126 B2 JP 4720126B2
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elevator
car
network
determination
elevator group
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JP2006062833A (en
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シャンドル マルコン
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Fujitec Co Ltd
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Description

本発明は、ネットワーク型群管理制御機構を自動的に生成するエレベータ装置の改良に関するものである。   The present invention relates to an improvement of an elevator apparatus that automatically generates a network type group management control mechanism.

エレベータ群管理システムの制御機構に「GNP」(Genetic network programming)を用いることにより、専門家や利用者に理解可能な制御ルールを自動的に生成するものについて、最近提案されている。
「Elevator Group Supervisory Control Systems Using Genetic Network Programming」(学会CEC2004での発表論文)
Recently, a control rule that can be understood by experts and users by using “GNP” (Genetic network programming) as a control mechanism of an elevator group management system has been proposed.
“Elevator Group Supervisory Control Systems Using Genetic Network Programming” (Papers presented at CEC 2004)

GNPを構成する判定ノードや処理ノードにはエレベータかご番号を直接使うため、エレベータかごの台数が増えると処理の段階が大幅に増加することになり、ネットワークの規模が急速に拡大してしまう。
さらに、ネットワークが自動的に形成される過程で、ネットワーク上の多数のパスのごく一部しか実行されず、ネットワーク全体の正確な評価が困難であった。
Since the elevator car number is directly used for the determination node and the processing node constituting the GNP, if the number of elevator cars is increased, the number of processing steps will be greatly increased, and the scale of the network will be rapidly expanded.
Furthermore, in the process of automatically forming a network, only a small part of many paths on the network is executed, and it is difficult to accurately evaluate the entire network.

本発明は、エレベータかごへ乗場呼びを割当てる手段として、エレベータ群の状態に関する判定処理を行う複数の判定ノードと前記判定処理に基づいて複数のかごの中から1つのかごを選択するかご割当処理を実行する複数の処理ノードと、これらをつなぐ接続が自動的に形成されるネットワークを備えたエレベータにおいて、前記複数の判定ノードに基づいて呼びを割当てる処理ノードを決定し、該処理ノードのランキング順位とかごのランキングデータに基づいて、エレベータかごを間接的に指定・割当てるものである。 The present invention provides, as means for allocating a hall call to an elevator car, a plurality of determination nodes that perform determination processing relating to the state of an elevator group and a car assignment process that selects one car from a plurality of cars based on the determination process. In an elevator equipped with a plurality of processing nodes to be executed and a network in which a connection is automatically formed, a processing node to which a call is assigned is determined based on the plurality of determination nodes, and the ranking of the processing nodes is determined. The elevator car is indirectly designated and assigned based on the ranking data .

比較的少ないノードにより高度な制御ルールが実現できるようになり、従来の構成と比べて、GNPの処理時間を大幅に短縮できる。又、エレベータかごの指定を間接的に行うために、できあがったGNPネットワークは、エレベータかご台数にほとんど関係なくエレベータの運転モードが一部変わっても正しい制御が行える。一方、他の現場のGNPとの交換・比較なども可能となり、出荷時の初期設定が簡単にできる。
さらに、GNPの規模が小さくなるため、自動生成の際に正確な評価ができ、効率よく高性能なGNPが構築できる。又、自動生成されたGNPネットワークが表現している制御則を理解しやすい利点がある。
Advanced control rules can be realized with a relatively small number of nodes, and the processing time of GNP can be greatly reduced as compared with the conventional configuration. In addition, since the elevator car is indirectly designated, the completed GNP network can perform correct control even if the operation mode of the elevator changes partially regardless of the number of elevator cars. On the other hand, it is possible to exchange and compare with other on-site GNP, and the initial setting at the time of shipment can be simplified.
Furthermore, since the scale of GNP is reduced, accurate evaluation can be performed during automatic generation, and a high-performance GNP can be constructed efficiently. In addition, there is an advantage that it is easy to understand the control law expressed by the automatically generated GNP network.

本発明は、新たな乗場呼びに対し、GNPネットワークを利用し所定のランキングに基づいてエレベータかごを指定・割当てるものである。 According to the present invention, an elevator car is designated / assigned to a new hall call based on a predetermined ranking using a GNP network.

以下、本発明の実施例について、図面を用いて説明する。図1は本発明の一実施例を示す全体の構成図、図2は図1に示すGNPネットワークの一例を示すフローチャート図である。 Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is an overall configuration diagram showing an embodiment of the present invention, and FIG. 2 is a flowchart showing an example of the GNP network shown in FIG.

図中、1は複数のエレベータを示すエレベータ群、2はエレベータ群1の状態を監視するエレベータ状態監視部で、各種のエレベータ情報3を出力する。4は例えば待ち時間D・エレベータ負荷L・UPピーク/DOWNピークなどの交通状況TRの順位を演算するエレベータ順位演算部で、ランキングデータ5を出力する。6は本発明に係る後述するGNPネツトワークで、制御判断信号7を出力する。8は制御指令演算部で、この制御判断信号7を受けて割当指令9をエレベータ群1に出力するものである。  In the figure, 1 is an elevator group indicating a plurality of elevators, and 2 is an elevator state monitoring unit that monitors the state of the elevator group 1, and outputs various types of elevator information 3. Reference numeral 4 denotes an elevator rank calculation unit that calculates the rank of traffic conditions TR such as waiting time D, elevator load L, UP peak / DOWN peak, and the like, and outputs ranking data 5. Reference numeral 6 denotes a GNP network to be described later according to the present invention, which outputs a control determination signal 7. Reference numeral 8 denotes a control command calculation unit which receives the control determination signal 7 and outputs an allocation command 9 to the elevator group 1.

ここで、GNPネットワーク6は図2に示すように、4つの判定ノードと4つの処理ノードとSTARTノードより構成され、エレベータの間接指定には例えば「待ち時間D」及び「エレベータ負荷L」の2通りのランキングを用いる。 Here, as shown in FIG. 2, the GNP network 6 is composed of four determination nodes, four processing nodes, and a START node. For indirect designation of the elevator, for example, 2 of “waiting time D” and “elevator load L” are used. Use street ranking.

エレベータ群1から割当て判断が要求された時には、次の動作が行われる。
先ずエレベータ群1の状態を表す信号3、例えば各かごの現在階、方向、走行状態、登録されている呼びなどがエレベータ状態監視部2でまとめられてエレベータ順位演算部4へ転送される。次に信号3より、エレベータ順位演算部4で各エレベータかごの動作などが予測され、発生した呼びが割当てられた場合の待ち時間が計算されて、それによる順位付けが行われる。待ち時間が最小となりそうなかごは「D1」、次は「D2」、…と言うように決定される。同様にして各エレベータかごの割当てられた呼びの数などから「負荷L」(L1は負荷の一番小さいかご、L2はその次のかご、L3は…)の順位付けも行われる。
When the assignment determination is requested from the elevator group 1, the following operation is performed.
First, a signal 3 indicating the state of the elevator group 1, for example, the current floor, direction, traveling state, registered call, etc. of each car is collected by the elevator state monitoring unit 2 and transferred to the elevator rank calculation unit 4. Next, from the signal 3, the operation of each elevator car is predicted by the elevator rank calculation unit 4, the waiting time when the generated call is assigned is calculated, and ranking is performed based thereon. The car whose waiting time is likely to be minimized is determined as “D1”, the next is “D2”, and so on. Similarly, ranking of “load L” (L1 is the car with the smallest load, L2 is the next car, L3 is...) Is also performed based on the number of calls assigned to each elevator car.

次に、エレベータ順位演算部4からランキングデータ5がGNPネットワーク6に転送され、このGNPネットワーク6は前回の処理ノード(最初はSTARTノードから)より順番に判定ノードをたどり判定を行う。GNPネットワーク6は処理ノードにたどり着いたら、そのノードが示す間接かご指定を制御判断信号7として制御指令演算部8に送る。   Next, the ranking data 5 is transferred from the elevator rank calculation unit 4 to the GNP network 6, and the GNP network 6 performs the determination by tracing the determination nodes in order from the previous processing node (initially from the START node). When the GNP network 6 arrives at the processing node, the indirect car designation indicated by the node is sent as a control determination signal 7 to the control command calculation unit 8.

制御指令演算部8はランキングデータ5および制御判断信号7を組み合わせて、割当て指令9を決定し、エレベータ群1に入力する。エレベータ群1は割当て指令9に基づいてエレベータかごの指定を行い、その割当てを実施する。 The control command calculation unit 8 determines the allocation command 9 by combining the ranking data 5 and the control determination signal 7 and inputs them to the elevator group 1. The elevator group 1 designates the elevator car based on the assignment command 9 and performs the assignment.

図2に示すフローチャートについて、より詳細に説明すると、先ず交通状況TRは「TR=UP?」かの判定が行われ、UPピークでない場合には、処理ノード「D1」により直ちに「D1」の意味する待ち時間の最小のエレベータかごが決定され、処理が終了する。もし、UPピークの交通状況であれば、「D1=L1?」の判定が行われ、つまり「最も速くサービスできるエレベータかごは、負荷も最小か?」が問われ、そうであれば「D1」の意味する待ち時間の最小の エレベータかごに決定・割当てられる。   The flowchart shown in FIG. 2 will be described in more detail. First, it is determined whether the traffic situation TR is “TR = UP?”, And if it is not an UP peak, the processing node “D1” immediately means “D1”. The elevator car with the minimum waiting time is determined, and the process ends. If the traffic situation is UP peak, a determination of “D1 = L1?” Is made, that is, “Is the elevator car that can be serviced fastest is the least loaded?” If so, “D1” It is determined and assigned to the elevator car with the minimum waiting time.

そして、上記の判定が「NO」であれば、次に「D2=L1?」の判定が行われ、「二番に速く到着するエレベータかごが負荷が最小か?」が「YES」であれば、そのエレベータかごに決められる。以下同様に判定と決定が繰り返され、何れかの処理ノードにたどり着けば、そこで処理が終了することになる。   If the above determination is “NO”, then the determination of “D2 = L1?” Is made, and if “the elevator car that arrives second fastest has the minimum load?” Is “YES”. , That elevator car is decided. Thereafter, determination and determination are repeated in the same manner, and when one of the processing nodes is reached, the processing ends there.

以上の説明では、飽くまで本発明の基本コンセプト及び一実施例について述べているが、処理ノードに最終的な決定を行うノード以外に、一時的な値を記憶し、その後の判定などにそれを使えるようにする代入ノードを追加するようにしてもよい。つまり、GNPネットワーク処理中に「A号機」「B号機」を決めて後に「A=L1?」などのように使うことも考えられる。また、判定ノードの条件文に、論理演算以外のファジィー演算を導入するようにしてもよい。
In the above description, the basic concept and one embodiment of the present invention have been described. However, in addition to the node that makes the final decision in the processing node, temporary values are stored and can be used for subsequent determinations and the like. You may make it add the substitution node to do. That is, it is conceivable that “A No. A” and “No. B B” are determined during the GNP network processing and used later such as “A = L1?”. Further, a fuzzy operation other than a logical operation may be introduced into the conditional statement of the determination node.

本発明の一実施例を示す全体の構成図である。It is the whole block diagram which shows one Example of this invention. 図1に示すGNPネットワークの一例を示すフローチャート図である。It is a flowchart figure which shows an example of the GNP network shown in FIG.

符号の説明Explanation of symbols

1 エレベータ群
2 エレベータ状態監視部
4 エレベータ順位演算部
6 GNPネットワーク
8 制御指令演算部
DESCRIPTION OF SYMBOLS 1 Elevator group 2 Elevator state monitoring part 4 Elevator order | rank calculating part 6 GNP network 8 Control command calculating part

Claims (1)

エレベータかごへ乗場呼びを割当てる手段として、エレベータ群の状態に関する判定処理を行う複数の判定ノードと前記判定処理に基づいて複数のかごの中から1つのかごを選択するかご割当処理を実行する複数の処理ノードと、これらをつなぐ接続が自動的に形成されるネットワークを備えたエレベータにおいて、前記複数の判定ノードに基づいて呼びを割当てる処理ノードを決定し、該処理ノードのランキング順位とかごのランキングデータに基づいて、エレベータかごを間接的に指定・割当てることを特徴とするネットワーク型エレベータ群管理制御装置。 As means for allocating a hall call to an elevator car, a plurality of determination nodes for performing a determination process on the state of the elevator group and a plurality of car allocation processes for selecting one car from a plurality of cars based on the determination process In an elevator equipped with a processing node and a network in which a connection between them is automatically formed, a processing node to which a call is assigned is determined based on the plurality of determination nodes, and the ranking of the processing node and the ranking data of the car Network type elevator group management control device characterized in that an elevator car is indirectly designated and assigned based on the above .
JP2004248187A 2004-08-27 2004-08-27 Neckwork type elevator group management control device Expired - Lifetime JP4720126B2 (en)

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KR100202720B1 (en) * 1996-12-30 1999-06-15 이종수 Method of controlling multi elevator
JPH1121031A (en) * 1997-07-02 1999-01-26 Hitachi Ltd Elevator group management device

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