CN1035092A - The control method of elevator and device thereof and the method and the device thereof that require to the control setup input - Google Patents

Abstract

Input method and device that a kind of group management control method of the elevator that many elevators between many floors of being on active service is carried out group's management control and device and user propose to group management control apparatus about the requirement qualitatively (feelings) of elevator operation.Wherein will be, and the perception that will set (or requirement) object transformation is the controlled target of elevator to the requirement on elevator operation qualitative as perception or require target to set, carry out actual group with this controlled target again and manage and control.

Description

The control method of elevator and device thereof and the method and the device thereof that require to the control setup input

The present invention relates to the group management control apparatus of elevator, particularly about realizing the suitable controlling apparatus for elevator group manage of user to the multiple hope of elevator.

The mode that has now in controlling apparatus for elevator group manage to be adopted is for the running efficiency of improving elevator and to passenger's service, call out and considering under the service scenario that whole balcony is called out, giving only elevator by the balcony that monitor to take place with online mode, thereby the average latency is shortened call distribution.Recently, open clear 58-52162 the spy, GB2,111, the mode that proposes in 244 (the opening clear 58-63668 corresponding to the spy) etc. is for adding to the variable parameter value in order to estimate the evaluation function of each elevator when selecting to distribute the elevator of balcony calling from many elevators, change above-mentioned variable parameter value according to the traffic needs, use resultant result, prior learning can satisfy the parameter value of predefined expected value well, and according to the operational situation of elevator, utilize above-mentioned parameter, carry out call distribution control.

This mode is to make to set wait time and energy-conservation these two control target by switch or from the level instruction that building management system comes, estimate near the stopping call of bid, and the critical for the evaluation of repeatedly waiting on this elevator that stops call that stops call is preferentially distributed to bid in importing.Its effect is to obtain making wait time to become only weight coefficient by the weight coefficient that suitably changes the critical for the evaluation that stops call, otherwise as progressively making this weight coefficient become big, just can obtain energy-conservation effect.

On the one hand, at the public clear 62-70 of spy, also record among the special public clear 62-71 and consider wait time and energy-conservation, and on the other hand, in the public clear 58-56709 of spy, full prediction is added on the critical for the evaluation, in the public clear 62-47787 of spy, then records the probability that is not inconsistent with forecast and in the full probability at least one as critical for the evaluation and the person of adding.

It is by shortening the average latency that wait time and energy-conservation 2 controlled target persons etc. are arranged in above-mentioned prior art, thereby can eliminate the discontented of passenger, however still has several problems.Particularly, owing to long wait takes place always being with in the identical time on the certain floor, although perhaps the standby elevator on hand, but give elevator far away call distribution, although or the passenger in the big goods of shipment go-cart equivalent also, distribute to crowded elevator,, and passed to the owner in building and supvr etc. so elevator after setting out various complaints such as calling once more can take place also to send.

Again with regard to wait time and energy-conservation, wait time and full probability (probability that forecast is not inconsistent) control target in addition, do not consider, although other (for example also have a lot of controlled target, reservation change number of times, number takes a lift, take a lift the time etc.), and the owner, supvr etc. that all require the building down indication to carry out these controls be inconvenient, and can not accomplish the multi objective control of relevant various combinations.

In case in the building of elevator of packing in order to tackle various complaints, the owner in building, supvr's etc. elevator user requires elevator builder change, and must carry out the change of program or append, thereby carry out the heavily burning of ROM by manufacturing industry of the lift person one side.Therefore also there are the following problems, be that in fact this need a lot of staff and time, again to belonging to user's passenger, the owner in building, a lot of requirements of supvr etc. can not make it satisfied fully, and the effect in the time of for the user, pointing out behind programing change elevator real-world operation is inconvenient.

Like this in each building in the ability of the lift facility that can utilize, be that aspects such as elevator platform number, staffing, elevator speed are restricted, and will import at following the desired value that can realize of this limited case, then need through the repeatedly mistake or the experience of trail run.It is inconvenient that user's hope is not quantized in advance contradictorily.But in above-mentioned prior art owing to do not consider with user's hope input, therefore the gimmick of wishing about the decision of noncontradictory ground is not done any consideration yet, and the control of individual character that realize conforming with the elevator of setting is inconvenient.

The input of relevant assessment item in the prior art and for example set only the spy and open and disclose useful numerical value (%) among the clear 59-223672 and specify fractional energy savings, and be input in group's management of elevator for the information with tradition account reservation or centralized services etc. in the method that the spy opens among the clear 59-48364 to be disclosed.

The object of the present invention is to provide the group management control method and the device of the elevator of the multiple requirement that can answer user or building manager.

Can import user's hope and it directly is taken into group management control method and the device that direct control system can be reflected in the elevator in the control immediately to say the requirement that understandable form is represented for the user thereby another object of the present invention is to provide.

Another object of the present invention is to provide the group management control method and the device of the elevator of the various requirement project that can be easy to append the deletion user.

Another object of the present invention is to provide the multiple of user required as the hope of the i.e. so-called perception that the understandable form of user is shown or the hope input media and the hope input method of the elevator control device that requirement is imported.

In order to achieve the above object, according to a side of the present invention, the group management control apparatus of elevator has a plurality of controlled target (the balcony wait time of input with respect to a plurality of elevators, take a lift the time, the reservation volatility, traffic capacity, number takes a lift, wait as long for rate, the reservation report time, car call elder generation arrival rate, the car number of pass times, full number of pass times, information inquiry amount, noise level, energy-conservation, the elevator starter number of times, plural at least controlled target in the scheduled plan running) device, at least a marquis that selection is used for reaching in the control method of these controlled target mends the selecting arrangement of control method, ask the prediction of each controlled target to reach the device of value and reach the device of value decision control method with regard to the candidate method of selecteed control method, thereby can respond various requirement of user or building manager according to these predictions.

Preferably have the device that value is reached in prediction that demonstration can reach each controlled target according to controlling apparatus for elevator group manage of the present invention, and energy limit and user or building manager's dialogue, the limit can determine acceptable control method.

According to another side of the present invention, owing to import its expected value for each controlled target, priority, power etc., and with traffic needs or environment, the relation between each controlled target and a plurality of control method is stored in advance as knowledge, and reaches value by simulated experiment affirmation prediction, thereby the processing time is shortened, accuracy of predicting is improved.

According to another side of the present invention,, just can determine control method very simply by asking pareira spy (Pareto) optimum solution and determine control method with the linear programming technique of many purposes plan law or objective plan method etc.

Based on by the expected value of each controlled target of the elevator of input media input and the customer requirement of relevant priority or power etc., mend control method with the knowledge selection of original storage and the marquis that derives at least a control method of thinking the elevator that can satisfy customer requirement.

In this selecting arrangement for example, requirement as client is a wait time only, the time and energy-conservation takes a lift, then can by by stored as knowledge, traffic needs and control method and represent the empirical equation of the relation between these clients' the requirement or the relational expression of theoretical formula etc. and means such as many purposes plan law or objective plan method draw and are called separating of pareira spy's optimum solution.But owing to the relational expression between the requirement that seldom can obtain traffic needs or control method and client, so the control method that under the traffic needs of predicting by the knowledge of the relation between the requirement of representing traffic needs and control method and client of using storage in advance, can satisfy customer requirement, carry out inference with above-mentioned knowledge, and derive several marquis by this inference and mend control method.

Each marquis with regard to the control method of these derivation mends control method, to the predictor of each controlled target when with the traffic flow of predicting serving as each control method control elevator of basis use, obtain by the analogue experiment installation of simulation elevator action in computing machine.

From reaching value with the prediction of the controlled target these each control methods and, selecting the control method that can satisfy customer requirement with the expected value of the controlled target of input media input or with respect to the quality of the control method of decision elevator in the priority of this expected value or the power.

The control method of pointing out this to select to client by read out instrument, the predictor of resulting each controlled target with this control method the time, with expected value and its priority or the power of the controlled target of input media input, and before accepting, client carries out above program repeatedly always.Owing to point out requirement and its predictor of client in this wise to client, decide the control method of elevator with conversational mode, so can carry out to be the control method of client's acceptance.The maximum speed or the number that takes a lift of elevator of the condition during again the control method that becomes the decision elevator, the knowledge that the difference of the service floor of each elevator etc. is also taken into account is all stored and is carried out inference with it, this just must need big memory capacity, and also need a lot of time on the inference, but as make through inference and select several candidate solutions of separating, and with analogue experiment installation from wherein selecting better separating, then might in the time of practicality, obtain in the practicality satisfied separating.

According to another side of the present invention, elevator control device is characterised in that the device of the perceptual or requirement that has the input user and carries out the device that group's management is controlled according to this perception, and can manage the perception of controlling the reflection user to the group.

Preferably have according to elevator control gear of the present invention again perception or requirement are transformed to the device of a plurality of controlled target, and be easy to be applicable to group's management control.Specifically, by perception (requirement) input media, with perception (requirement) target of a plurality of projects and the environment for use (operational situation of elevator of elevator, traffic needs etc.) lump together and set, and the object transformation device is equipped with in knowledge base with respect to the transforming function transformation function (the subordinate varying function that is equivalent to fuzzy control) of the predetermined item that requires target with each environment for use of elevator, and is transformed to the control target of elevator with this transforming function transformation function.(weighting between projects of controlled target or priority also can lump together the gimmick that waits with AHP (Analytical Hierarchy Process analyze level handle) and determine).Roll up the 7th phase 430-438 page or leaf about AHP in " system and control " the 30th again, on the books in 1986 " many purposes meaning decision-theories and application-I-many purposes meanings decision and AHP-".

According to another side of the present invention, elevator control device has direct input controlled target (balcony wait time, take a lift the time, the reservation volatility, traffic capacity, the number that takes a lift waits as long for rate, the reservation report time, car call elder generation arrival rate, car number of pass times, full number of pass times, information inquiry amount, noise level, energy-conservation, the elevator starter number of times, at least two above controlled target in the scheduled plan running) device reaches the device of carrying out group's management control with these controlled target.

According to another side of the present invention, elevator control device is characterised in that the device that has the decision control method, so that reach the controlled target of being imported through above-mentioned perception (requirement) input media or the device of directly importing controlled target.Specifically, it is characterized in that having and select at least one device in order to the candidate control method of the control method that reaches controlled target, just the candidate control method of the control method of selecting ask each controlled target predictor device and on the basis of these predictors the device of decision control method.(preferably try to achieve predictor by simulating, then more effective.)

According to another side of the present invention, elevator control device is provided with according to the operational situation of elevator or time band and makes the possible calling mechanism of being selected to of method of operation (decision table), carries out the appending etc. of content of calling mechanism by extraneous signal.

According to another side of the present invention, the control method of elevator is input perception (requirements), calculates the call distribution bounds evaluation and the parameter of group's management from the requirement of input, carries out group's management and controls along with this bounds evaluation and parameter.

According to another side of the present invention, the perception of elevator control device (requirement) input media has the device of input perception (requirement) and the requirement that will import is transformed to the device of a plurality of controlled target.

Perception (requirement) input media according to another side of the present invention elevator control device has the device of importing perception (requirement) and being transformed to controlled target, reason out the device that suitable control method is also determined, control method is registered to the device of elevator control device.Best, the device that input required and be transformed to a plurality of controlled target constitutes and needs data bank to pass through the inference function with predefined requirement input knowledge base and environment traffic to determine control target, and decide weighting or priority between projects of controlled target with AHP, inference control method and the device that determine constitute based on weighting between control target and projects or priority again, need data bank and control method to determine that knowledge base decides control method with the environment traffic.

According to another side of the present invention, the input method that requires of elevator control device comprises the requirement qualitatively of importing the user with predetermined guide form.

About proposing the perceptual of requirement qualitatively or require the input of target (being sense of worth, interest, hobby, sensation, taste etc.) should use understandable language or radar map etc. as moving to elevator, even make is not that the expert that elevator is controlled also can set simply, and use by the poll table and investigate resulting parameter function as an example, be control target with perception (requirement) object transformation of setting.About a plurality of control target (reaching weighting or priority between the projects that can consider controlled target as required) that obtain, be replaced by control method based on preset rule by the expected value that each project is relevant, thereby fully be taken into user's hope, to be implemented in personnalit group's management control in each building.

Again, for to a certain extent, having the user of the knowledge of elevator operation aspect, is not directly to import requirement, decides control method but make it directly to import controlled target.

Again, about not requiring or perception is transformed to controlled target, just directly adopt into elevator control device, and the call distribution bounds evaluation or the parameter of decision group management control, thereby make it be reflected to the actual last thing of group's management control, also can accomplish as long as carry out the restriction of initial conditions.

Fig. 1 is total pie graph of one embodiment of the invention;

Fig. 2 is the details drawing of control method determination section;

Fig. 3 is the example of controlled target table;

Fig. 4 is an example of knowledge;

The example that Fig. 5 need show for traffic;

Fig. 6 is an elevator performance environment table;

Fig. 7 reaches the example of value table for prediction;

Fig. 8 is the example of decision table;

Fig. 9 A, 9B are the instruction diagram of complete optimum solution;

Figure 10 A, 10B are the instruction diagram of Pareto optimal solution;

Figure 11 is the instruction diagram of large-scale optimum solution and local optimum solution;

Figure 12 is the general flowchart that makes usage of the present invention;

Figure 13, Figure 14 are the expected value of expression controlled target and an example of the drawing that value is reached in prediction;

Figure 15, Figure 16 are the example with question and answer mode input controlled target;

Figure 17, Figure 18 are the example with coordinate input controlled target;

Figure 19 is the transformat when transmitting decision table;

Figure 20 represents the figure with the example of phone circuit connection control method determination section and group's management control part;

Figure 21 is total pie graph of another embodiment of the present invention;

Figure 22 is the action specification figure that requires goal-setting portion and object transformation portion;

Figure 23, Figure 24 are for setting the example that requires target;

Figure 25 is the radar map of expression building character;

Figure 26 is the instruction diagram of the method for controlled target conversion;

Figure 27 A-27C is an example of object transformation function;

Figure 28 is the corresponding diagram that requires target and controlled target;

Figure 29 is the action specification figure of control implementation portion;

Figure 30 A-30C is an example of control method selective rule;

Figure 31 is the action flow chart of another embodiment of the present invention;

Figure 32 is user's diagram of circuit of part soon;

Figure 33 is the setting example of elevator specification;

Figure 34 is for requiring the goal-setting modification;

Figure 35 is an example of object transformation function;

Figure 36 is the example of controlled target table;

Figure 37 reaches an example of value for prediction;

Figure 38 is total pie graph of the distortion of relevant another embodiment of the present invention;

Figure 39 is total pie graph of other embodiment of the present invention;

Figure 40 is about total pie graph of an embodiment again;

Figure 41 is again the action specification figure that requires input part of an embodiment;

Figure 42 is an example of the representational specification when requiring to import;

Figure 43 requires the figure of the input method of target for expression;

Figure 44 is in order to obtain the relevant kilsyth basalt of a plurality of controlled target from require target;

The figure of the input method of the power that Figure 45 carries out with AHP for expression;

The figure that compares one to one that Figure 46 carries out with AHP for expression;

Figure 47 is the example of the rule of the knowledge base of decision control method;

Figure 48 is an example of decision table;

Figure 49 is for to plant total pie graph of embodiment about him;

Figure 50, Figure 51 plant the processing flow chart of embodiment for him;

Figure 52 is the figure of expression one embodiment of the invention and external equipment;

Figure 53 is the diagram of circuit of the data between each component part of the present invention;

Figure 54 is for puing question to statement list;

Figure 55 shows for the default that preestablishes of every kind of building purposes;

Figure 56 is relevant kilsyth basalt;

Figure 57 is important kilsyth basalt;

Figure 58 is control purpose value table;

Figure 59 is the diagram of circuit that requires in the object transformation portion;

Figure 60-Figure 62 is an example at the degree of correlation knowledge base table in hotel;

Figure 60 is for puing question to statement list;

Figure 61 is for preestablishing (derault) table and relevant kilsyth basalt;

Figure 62 is control purpose value table;

Figure 63 requires the example of (grade) b and prediction degree of reaching e for prompting;

Figure 64 is total pie graph of one embodiment of the invention;

Figure 65 A-65C decides the figure of the method for power with AHP for explanation;

Figure 66 is the total pie graph that is added with an embodiment of simulated experiment portion;

Figure 67 is an example that requires to import knowledge base;

Figure 68 is an example of the method for the relative Link Importance of input AHP;

Figure 69 is an example of traffic flow environment data base;

Figure 70 is an example of customer requirement table;

Figure 71 is an example of the knowledge base of decision control method;

Figure 72 is an example of decision table;

The example of Figure 73 A-73C for comparing one to one by the inclination of balance;

Figure 74 makes the expected value of controlled target and prediction reach the radar map that value overlaps.

Followingly come one embodiment of the invention are described according to figure.Fig. 1 is total pie graph of the present invention.From take a lift number or take a lift the time of input/output unit 1 input what is called, the reservation volatility, the expected value and the power corresponding of the controlled target of the elevator of wait time (balcony is called out the continuation time) with it, and deliver to the control method determination section.Receive that the multiple goal will determination sections 21 in the control method determination section 2 of these inputs deliver to inference portion 24 with the expected value and the power corresponding with it of controlled target, inference portion 24 needs the environment data base 22 to take out the traffic needs of elevator of condition of service of the elevator of expression each hour from traffic, the service floor of each elevator, command speed, the so-called elevator performance of staffing etc., the kind that is provided with the building of elevator reaches the surrounding environment of the so-called elevator whether report to the leadship after accomplishing a task mouth or station etc. are arranged near the building, and several knowledge that are used in the knowledge base 23 derive several control methods, and this method might realize the expected value and the power corresponding with it of the controlled target sent here from multiple goal will determination section 21 under above-mentioned these conditions.Herein, so-called control method is the minimum call distribution mode (Min) of for example wait time, maximum wait time minimum call distribution mode (Min-Max), wait time distribution allocation scheme etc., and preparation has the mode that these modes are combined.Several control methods of Dao Chuing are delivered to the elevator simulation experiment portion 25 of simulant elevator action like this.Simulated experiment portion 25 needs the environment data base 22 to take out the surrounding environment of traffic needs, elevator performance, elevator from traffic, and carry out simulated experiment with regard to the occasion of carrying out each control method with this understanding, obtain the prediction of each controlled target when carrying out each control method and reach value.The prediction of each controlled target when this each control method and this control method of employing is reached value and is delivered to multiple goal will determination section 21.In multiple goal will determination section 21, use and come the prediction of each controlled target when taking these control methods to reach value from the expected value of the controlled target of input media 1 input and its power to compare, value is reached in the expected value of optimum controling method and each controlled target and prediction in input/output unit 1, shown together.As disagree with expected value or its power of reaching value and controlling party rule change controlled target with the prediction of this demonstration, and carry out above program repeatedly.As obtain grantable result and then this control method is delivered to group management control part 3.Group management control part 3 to estimating from the calling of balcony call button 4, and is controlled the terraced control part 5 of each number electromechanics according to this control method.

Fig. 2 is the figure that represents control method determination section 2 in detail.From the expected value of the controlled target of input/output unit 1 input and the control target table 21a that power is delivered to multiple goal will determination section 21.Fig. 3 is the example of control target table 21a.Multiple goal will decision input and output control part 21c delivers to the content of control target table in the inference portion 24.Inference portion 24 needs environment data base 22 to take out traffic needs, the performance of elevator, the surrounding environment of elevator from traffic, and takes out knowledge from knowledge base 23 and carry out inference.An example of expression knowledge in Fig. 4, the expression traffic needs table in Fig. 5, an example of the environments table of expression elevator in Fig. 6.As the environment around the elevator is simple, from the expected value of the controlled target of input/output unit 1 is simple, there is the empirical equation that has control method in the knowledge base 23 and a relation between controlled target as knowledge find the solution (can not be mathematical expression also again, but table, curve, algorithm etc.) by linear programming technique with regard to available record.At this moment, inference portion 24 delivers to multiple goal will decision input and output control part 21c with empirical equation, multiple goal will decision input and output control part 21c delivers to the multiple goal will decision evaluation 21b of portion with this empirical equation, the multiple goal will decision evaluation 21b of portion asks Pareto (Pareto) optimum solution by many purposes plan law, and its result is transmitted back to multiple goal will decision input and output control part 21c.The control method that the multiple goal will decision input and output 21c of portion will as a result of be provided is delivered to simulated experiment portion 25.In simulated experiment portion 25, need the environment data base 22 to use traffic needs, performance, surrounding environment from traffic as the elevator of purpose, value is reached in the prediction of each controlled target when calculating with this control method, and send back to the prediction reach among the value table 21d.

Expression has prediction to reach an example of value table in Fig. 7.The multiple goal will decision evaluation 21b of portion reaches value table 21d with prediction and compares with separating of obtaining of linear programming technique, not quite then prediction is reached the content of value table 21d as difference and deliver to target will decision input and output control part 21c, multiple goal will decision input and output control part 21c makes this prediction reach the content of value table 21d and the content of control target table 21d shows on input/output unit 1, tries to achieve the judgement whether this goes.Complicated when the surrounding environment of elevator, just can not find the solution when perhaps the expected value of controlled target is for the value of difficulty with linear programming technique.Inference portion 24 is according to the traffic needs at this moment, and the expected value of the performance of elevator, environment and controlled target is used the knowledge that is stored in the knowledge base 23, selects several control methods that might reach the expected value of each controlled target.The control method of selecting is like this delivered to simulated experiment portion 25, the content that the 25 usefulness traffic of simulated experiment portion need environment data base 22 is calculated prediction with regard to various control methods and is reached value, and is sent to prediction and reaches value table 21d.The odds that the content that the multiple goal will decision evaluation 21b of portion reaches value table 21d with this prediction is carried out each control method.About the comparison of this quality, for example, as expected value in order to each controlled target

(i=1 ..., n) be the vector of key element

Represent expected value, and reach value f in order to the prediction of each controlled target _i, (i=..., n) be the vector f=(f of key element ₁, f ₂..., f _n) represent to predict and reach value, then use weighting 1 _pNorm,

Measure prediction and reach the distance of value vector, and can select this distance to be minimum control method from the expected value vector.In view of the above, can be made it control method as far as possible near controlled target.Important on elevator is not to make at the wait time of balcony etc. near certain expected value, and more wishes to take can make it to be lower than the control method of expected value.This also is same with regard to the number of taking a lift.Again, operational throughput preferably can be greater than expected value.When on about the occasion that surpasses this expected value and evaluation, existing difference less than the occasion of this expected value as long as select following control method to import auxiliary variable

And make $1_p=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}\left(w_I^{+}{d}_i^{+}{w}_i^{-}{d}_i^{-}\right)$ Control method for minimum.D herein _i ⁺With

Represent the situation that relative i expected value surpasses and do not reach respectively, can be described as poor parameter.Because w _i ⁺And w _i ^-Be d _i ⁺, d _i ^-Weight coefficient,

So resemble wait time or the car number that takes a lift etc. when only requiring that being lower than expected value can wait, imported w as long as use by input/output unit 1 _i ⁺Power, and make w _i ^-Be 0, and resemble operational throughput etc. occasion, as long as make w greater than expected value in expectation _i ⁺Be 0, and use by input/output unit 1 input w _i ^-Power just.

Value is reached in the prediction of selected like this control method and its controlled target and expected value shows on input/output unit 1, and tried to achieve this whether good judgement.As bad, then change the expected value and the power thereof of controlled target, repeatedly Yi Shang program.As good, then the decision table 3b in the multiple goal will decision input and output control part 21c rewriting group management control part 3 is so that carry out this control method.Expression has an example of decision table in Fig. 8.Because the traffic flow time to time change, in order to can do with various traffic flow, decision table has many, and expression has the use zero hour of each decision table and use to end constantly.

The so-called adjustment between a plurality of controlled target to carry out this problem of control that client can agree can be expressed as follows by formula as the multi-purpose project problem.Promptly become the purpose relation that makes

At limiting condition

Be minimum or maximum problem down.Describe with regard to being minimum occasion herein, and be maximum occasion, add that as both sides " 1 " can handle too.

Herein, x=(x ₁, x ₂..., x _n) be that the n dimension determines parameter vector, f (x)=(f ₁(x), f ₂(x) ..., f _k(x) be k dimension vector function, $\hat{f}=({\mathrm{<figure-callout\; id="1"\; label="f"\; filenames="8910056600821.png,8910056600871.png"\; state="\{\{state\}\}">f</figure-callout>}}_1,{\mathrm{<figure-callout\; id="2"\; label="f"\; filenames="8910056600651.png,8910056600821.png"\; state="\{\{state\}\}">f</figure-callout>}}_2,\&hellip;\&hellip;,$ f _k) be k dimension expected value vector, g (x)=(g ₁(x), g ₂(x) ... g _m(x)) be m dimension vector restricted function.Be that multi-objective problem becomes following point and promptly obtains under m inequality limiting condition and make k purpose function be the decision parameter vector of minimum n dimension simultaneously.Aspect group's management control of elevator, decision parameter vector x is equivalent to control method, and vector restricted function g (x) is equivalent to the performance and the surrounding environment of traffic needs or elevator.Expected value vector again Ingredient f ₁, f ₂..., f _nExpected value for each controlled target.

Fig. 9 A, 9B, Figure 10 A, 10B are the figure of the notion of separating of expression multi-purpose project problem.Make the expected value vector herein for simplicity $\hat{f}=0.$ The figure that the complete optimum solution that Fig. 9 A, 9B directly enlarge for the notion of the occasion that just makes single purpose describes.Represent that herein objective function is two kinds of occasions.Herein F (x)=f (x) | x ∈ xIt is the field in the cards in the purpose function space.Fig. 9 A represents the purpose function space, at a point, f ₁, f ₂All become minimum.Fig. 9 B is for using x-f space representation f ₁, f ₂Figure, f ₁, f ₂All on an a, become minimum.So complete optimum solution exists only in all purpose function f ₁, f ₂..., f _nBe on the occasion of minimum simultaneously, and on the purpose function is at war with such occasion, generally be non-existent.On such occasion in order to improve the value of certain purpose function, separating of can be defined as follows promptly have to the major general in addition the value of 1 purpose function change badly, and be referred to as Pareto optimal solution.Figure 10 A, 10B are the instruction diagram of explanation Pareto optimal solution.Figure 10 A is for using x-f space representation f ₁, f ₂Figure.f ₁Get minimum value at a b, f ₂Then get minimum value at a c.Thereby any one x from a b to a c also is a Pareto optimal solution of having had to change bad the opposing party when improving a side.Figure 10 A is a situation about representing with the purpose function space, and some b, some c are respectively f ₁Smallest point and f ₂Smallest point.Even be Pareto optimal solution equally, in a b place purpose function f ₁Be minimum, and the purpose function f ₂Then be the worst in Pareto optimal solution.Equally in a c place, purpose function f ₂Be minimum purpose function f ₁Then become the worst.Like this, even owing to be that each purpose function of Pareto optimal solution also has different values equally, so separate in order to determine that the will decision maker is favorite, be necessary by weighting on each purpose function as mentioned above, in order to find the solution, be necessary to make the multi-purpose project problem become the problem of single purpose again by scalarization.Promptly become following point herein, be about to the multi-purpose project problem with respect to purpose function f (x)=(f ₁(x), f ₂(x) ..., f _kAnd target value set (x))

Distance with weighted norm 1 _PExpression, and to make it be minimum.When carrying out such scalarization and finding the solution, generally can only obtain local Pareto optimal solution with linear programming technique.The figure that Figure 11 describes for large-scale optimum solution and local optimum solution with regard to the occasion of 2 parameters.A, b, c are local optimum solution among the figure, and wherein c is the optimum solution of the overall situation.In the means of common linear programming technique or progressively obtain in the better method of separating with each a small amount of change parameter can be in the hope of the optimum solution of the such part of a, but can't understand in the better large-scale optimum solution of c place existence.When not studying, do not want the expensive time again with regard to one of all point with leaking.Therefore in such occasion, exist the zone that local optimum is separated, then as obtain each local optimum and just separate and compare and to try to achieve large-scale optimum solution as knowing in advance.Promptly with the knowledge zone that inference exists local optimum to separate in inference portion 24 of knowledge base 23, and ask local optimum to separate, and in the multiple goal will decision evaluation 21b of portion, these local optimums are separated and compared just by the linear programming means.But aspect the group management control of elevator, represent that the purpose function usually is very difficult, and the purpose function changes with the state that is provided with of elevator etc. with mathematical expression.Thereby in such occasion, there is the zone that local optimum is separated in inference in inference portion, use the Several Parameters in this zone and in simulated experiment portion 25, ask the prediction of each controlled target to reach value, in the multiple goal will decision evaluation 21b of portion, it is compared, and make it for separating.Can not guarantee with such means whether it is Pareto optimal solution, but can obtain unobstructive separating in practicality.

Now describe with the knowledge of Fig. 4 a example to the method for inference control method in inference portion 24.The kind in building is the office building, now establishes when turning out for work and the Quan Weixiao of the reservation volatility of controlled target, and big for the Quan Zewei that waits as long for.Because so but the building is the office building selective rule 1, and knows that the user has got used to this, and it is little to be accustomed to the weight of this condition and reservation volatility according to this user, so but selective rule 2; When waiting as long for, then accomplish the change reservation.Again because the building is the office building, and be these conditions constantly of turning out for work at that time, so but selective rule 5 and accomplish concentrated the service in the benchmark building.According to above situation, can concentrate in the benchmark building as the mode of elevator and to serve, to produce long Shi Wen etc. and bide one's time and then change reservation continually resembling.More than be that the just relevant controlled target of being imported from input/output unit 1 or the inference of environmental conditions describe, further will carry out inference according to these conditions with from the detailed traffic needs data of traffic needs environment data base 22 or the performance of elevator, obtain the scope of concrete specified evaluation formula of elevator or parameter separately, be sent to simulated experiment portion 25 and obtain prediction and reach value.

Figure 12 is the expression general flowchart that makes use-case of the present invention.At first be provided with the environmental conditions and the transportation condition (201) of elevator from input/output unit 1 input.Then from input/output unit input controlled target and power (202).Then in multiple goal will determination section 21 and inference portion 24, select the control method (203) of several candidates, need and be provided with under the condition of environment at elevator place in the traffic that provided, in using (203), carry out simulated experiment (204) under the occasion of each selected control method.Use the result of this simulated experiment in multiple goal will determination section 21, each control method to be compared, obtain best separate (205) thereafter.On input/output unit 1, show this control method of selecting and each the control item purpose during with this control method is predicted and reached value (206).And carry out the whether good judgement (207) of this result, as bad then turn back to (202), as good group's management control part 3 (208) that then will write in order to the parameter of carrying out this control method.

Figure 13, Figure 14 are the example of the drawing of expression expected value of each controlled target and predictor.Figure 13 is the embodiment when representing that with hexagonal radar map value is reached in each expected value and prediction, represents expected value with solid line, reaches value and dot prediction.Can understand balance between each controlled target well according to this mode.Figure 14 is for representing each expected value and the embodiment of prediction when reaching value with the bar type chart, solid line is represented expected value, and dotted line represents to predict and reach value that this puts identical with Figure 13.Be easy to check out according to this mode how many expected values with respect to each controlled target can finish.In these embodiments, make and will represent with 5 grades with respect to the ratio of the standard value that is determined in each building kind, actual wait time can show and preengages volatility and then represent with % with numerical table second.

Figure 15 is for importing expected value and its embodiment temporary of each controlled target with interrogation reply system.According to present embodiment, owing to be that power is one by one imported, so can carry out tiny setting, but input method becomes numerous and diverse.The embodiment of Figure 16 during for the input expected value of each controlled target and its priority.According to present embodiment, tiny setting becomes and can only be undertaken by changing expected value, but input can be carried out very easily.Figure 17 is the embodiment when importing expected value by the hexagonal shape of input expected value.Hexagonal shape is to import by the coordinates of input devices of usefulness and mouse shape robot scaling equipment (mouse) or read out instrument all-in-one-piece touch pad etc.According to present embodiment operability is improved, and the influence to other controlled target also is easy to grasp when the expected value that makes each controlled target changes.The embodiment of Figure 18 when importing the expected value of each controlled target and weight with cursor.Even coordinates of input devices that need not be special according to the present invention only also can expect to obtain the effect close with the embodiment of Figure 17 with keyboard.

Figure 19 is for from the transformat of control method determination section 2 when the group manages the content of control part 3 serial transfer decision tables, Figure 20 for input/output unit 1 and control method determination section 2 are placed on guardian chamber and office and and machine chamber in group's management control part 3 between embodiment (same-sign means the part identical with Fig. 1) when modulating a demoder and be connected with telephone wire.6 are communication modulation one demoder, and 7 is telephone wire.According to present embodiment also can resemble guardian chamber and the office etc. from away from the setting of place change group management control.As input media, also recording media such as available IC-card is imported again.

According to the present invention, can carry out following control method, the existing control project of promptly being not only the so-called time of waiting at the balcony place and saving the energy, and just for what is called take a lift the time and the reservation volatility, the requirement of the project of majorities such as the number that takes a lift also can obtain the control method of mediation, and because till point out the prediction of employing during this control method to reach value to ask it to be altered to client and can to accept, so can satisfy the operation of the elevator of customer requirement.

Find the solution owing to being not only again, and reach value, so accuracy of predicting is improved by simulated experiment affirmation prediction according to inference.Again because the difficulty that variety produced of group's management of the so-called elevators such as intersection of minor variations that needs for traffic or service floor, also by selecting several candidate control methods, thereby and the result of simulated experiment compared select better method to be eliminated, separate practicality is unobstructive so knowledge base that might need not be excessive just can be tried to achieve with the time of practicality.

By addressing Figure 21-Figure 37 another embodiment of the present invention is described.

Figure 21 is the figure of total formation of expression elevator control device according to another embodiment of the present invention.The control setup relevant with group's management control of the present invention is made of three squares of rough segmentation.The 1st square is for requiring goal-setting portion 102, and it sets requiring expected value and should reaching the operational situation of elevator of above-mentioned requirements expected value and the environment for use of the elevator that traffic needs etc. of user.By being set, this configuration part also can carry out the change of control method and running reservation etc. very simply even without the expert of elevator.In this figure, be to use the input terminal (Personal Computer that keyboard and read out instrument are combined, bench board etc.) 102-1 imports the predetermined condition 102-2's that requires expected value etc., also can manage and establish DI P switch etc. on the control part 101 but replace this mode, change directly impose a condition (elevator controlled target) by the conversion of switch the group.Also can utilize telephone line in addition or manage on the control part 101 the group and directly set by the recording media of IC-card etc.The 2nd square is an object transformation portion 103, the user's that it will set by above-mentioned requirements goal-setting portion 102 hope (requiring expected value) is transformed to the numerical value of using in actual control system, it is used to data and object transformation function (for example at the function shown in the square 103a of Figure 22) extraction to make according to the data that obtain from the user in advance by poll by each requirement project about the environment for use of elevator etc. import together using there when setting requires expected value, the function that re-uses this extraction decides actual control expected value (for example at the reference table shown in the square 103b of Figure 22), thereby decision can reach the control method of controlled target best.These control target are stored in each condition that traffic is needed etc. and carry out in the sorted table.This object transformation portion 103 also can not be located at the inside of group management control part 101 and be located at the outside again, or is assembled into and requires in the goal-setting portion 102 and form one.Decision and selection can reach the control method of controlled target the best in the 3rd square (control implementation portion 104), and according to the balcony call control department of forming by balcony call button switch etc. 105 with judge the operating condition of elevator etc. from the data of the terraced control part 106 of each number electromechanics, from above-mentioned table, take out corresponding to the control method of the operational situation of from the control method (calling allocation method etc.) that is predetermined, judging and also implemented, and its result is sent on the dynamo-electric ladder of each number.The judgement of operational situation is carried out according to the number of starts (number of calls) and the elevator number that takes a lift down of interior balcony call control department of for example each unit time.Native system by such formation can reflect user's hope rapidly in control, thereby the degree easy to use of elevator is improved.Require expected value to report out that what have been done has satisfied the action of target setting by in object transformation portion 103, conversely the operation result of the reality of the dynamo-electric ladder of each number being transformed to again to the user.

Figure 22 requires the figure of the action of goal-setting portion 102 and object transformation portion 103 for explanation.(for example the time is with the environment for use of setting the elevator that must reach the above-mentioned requirements expected value by requiring expected value configuration part 102a to require goal-setting portion 102, the running condition of volume of traffic etc. and the performance in the building of elevator is set, the specification of elevator etc.) elevator environment for use configuration part 102b form.But what is called requires expected value directly not set the expected value that the user wishes with physical quantity, but the degree of having represented indirectly to be felt psychologically as power of liking etc.Can say so by caused requirement qualitatively such as user's sense of worth, interest, hobby, sensation, taste to the elevator operation.For example, if not the expert (designer, maintenance person etc.) of elevator even then speak of " wishing fast dot product ", promptly so-called with the numerical value of quantification " at * floor and be provided with * platform and speed be per minute * * elevator of rice because of wait time be about * * second be suitable, so please than this * * second hurry up " to claim generally be very difficult.Thereby the present invention make exactly with " hope take advantage of empty car " or " wishing fast dot product " this class what is called qualitatively expected value as the solution that requires the expected value introducing in the hope of the problems referred to above.It is so-called again that to require expected value also to be said to be control data [the balcony wait time that makes with respect to the control situation that can observe elevator, take a lift the time, reservation volatility (forecasting rate), the number that takes a lift (number when for example door is shut in car), conveying number (number of transporting in each unit time) etc.] expected value (control target) normalization and the value of representing with analog quantity (or digital quantity).Actual control target is according to the kind (hotel in building, department store, the office block that company occupied, office of official and public institution building etc.), the number of floor levels of service, elevator platform number, the specification of elevators such as staffing, traffic need wait condition of service and change to some extent, but owing to requires target regular so can freely be set.The example of its normalized method is expressed as follows.For example, if the average latency support time in the building that a company occupies band, can minimum service is 25 seconds and to establish the maximum average latency be 70 seconds, and for the average latency that makes average latency normalization establish maximum is 100, and the minimum average latency is 0.Promptly as to set 50 value be 70-(45/100) * 50=47.5 second as the control target that requires expected value then to obtain, thus can from a plurality of control methods, select the control method that can make it littler than this value.So-called again the requirement also can be described as the requirement that 3 relatively shows with the size between beginning a project, and can be described as all conditions of consideration elevator again and the behaviour in service of elevator is divided into multistage and showed between minimum value and maxim.As the above-mentioned target that requires is to consider on the basis of mode etc., make control target etc. carry out quantification with respect to the direct operation of elevator and when representing to have any problem with concrete numerical value, a kind of means of introducing, and other all manifestation modes can also be arranged.

Even but the user of elevator proposes " empty car is taken advantage of in hope ", " wishing fast dot product " ... Deng making all cuits obtain satisfied requirement fully, but as consider that it is inconvenient that conveying efficiency etc. then will satisfy opposite cuit (hope of the hope so for example " will taking advantage of the empty wagons railway carriage or compartment " on the rush hours band and " wish will fast dot product ") simultaneously.Thereby be necessary to preestablish which is wished is preferential, and give order to it.(this order of giving, no matter it is which kind of degree expected value qualitatively, but because the problem of corresponding comparison, so be possible).Can be thought of as first as the determining method of this priority is to be the method for order with the input sequence, the secondth, and the method for the order of setting simultaneously please when setting requires expected value.Outside this priority, also can consider to give weighting, also use then better effects if as priority and weighting.

What is called requires expected value as mentioned above owing to be expected value qualitatively again, show user's hope size simply, so as the expected value that requires of its input is not transformed to actual control target (controlling quantity), then can't carry out the control of elevator.But when planting object transformation, require expected value just decision once owing to depending merely on, so this requires expected value in conjunction with input, also to import environment for use (the platform number of elevator and the specification of elevators such as speed, staffing of electric sample, hotel, company special use, department store, live together the specification in the building in building etc., the condition of service of season, time band (or time), floor, volume of traffic etc.).And, the function or the rule that are used for object transformation according to decision among the control system target determination section 103a of the environment for use of this elevator, also determine and require the corresponding control target of expected value simultaneously, and by each project with this value record in controlled target table 103b.Then explanation below of concrete grammar as for this controlled target of conversion.

The setting value that makes in Figure 22 with 1-5 requires expected value, and input mode is different from Figure 23 and the radar map that also can use shown in Figure 24 therewith, and uses the method for mouse formula robot scaling equipment usefulness such as (mouse) simulation to set.Figure 23 is the figure that requires the target example in expression hotel, and the example that judges and set from the condition of service of elevator etc. in advance for designer etc.In the hotel, use the time band of elevator as shown in this figure the lodging guest, because except that require to take the hope of empty car as far as possible owing to having object, also have and require to make the few hope of mobile amount because of holding object, the requirement of event " car of hope notice arrival correctly " etc. is big, and requiring of " wishing fast dot product " or " wishing to transport at short notice more people " is little.But recreational activities etc. are arranged sometimes, the requirement of " wishing to transport at short notice more people " then also can take place.This moment just no longer can be by the original requirement of satisfying the sundry item of " the sky car is taken advantage of in hope " etc. like that.This intensity of variation is to change according to the required amount of each project and significance level.With regard to the significance level that reaches this requirement, be to require in Figure 22 with the additional sequence input, and as figure radar map in also consider to ask the method for additional sequence maybe setting to be judged as in proper order the method for the order of importance.The example that requires target when Figure 24 occupies the building for expression one company.In this figure, consider the work efficiency in company, have tendency to make " wish as early as possible by reservation car ", " wishing to transport at short notice more people ", projects such as " wishing fast dot product " want changes persuing big.

But be necessary when requiring to import, to set in the lump the specification in building, and as represent that with radar map the character in building can see clearly as shown in figure 25 that then its character has a difference according to purposes is different.The solid line of Figure 25 represents that a company occupies the character in building, and dotted line (b) is then represented the character in hotel, because of this qualitative difference, and becomes the difference of above-mentioned requirements expected value.

Figure 26 is transformed to the formation of control target for the expected value that requires that expression is used for setting.

As mentioned above, when requiring expected value, setting should be set with the also information of the environment for use of elevator in the lump by elevator environment for use configuration part 102b.The use information of this elevator such as the words of rough segmentation then can be divided into character 102b1 and the elevator specification 102b2 and the environment for use information 102b3 in building.The specification of elevator and the character in building is as in case just set and can not change significantly, about environment for use information 102b3 then necessarily contains the project that is necessary to set again (for example being necessary to satisfy the project of volume of traffic and time band, the floor etc. of new demand) when the user sets new the requirement.Be sent to the controlled target configuration part 103a of object transformation portion 103 by elevator environment for use information that requires target and set by elevator environment for use configuration part 10 2b that requires that the 102a of goal-setting portion sets etc.Object transformation portion 103 (contains controlled target transforming function transformation function generation rule selection portion 103a1 by controlled target configuration part 103a, transforming function transformation function data bank 103a2, the 103a3 of object transformation portion) and controlled target data sheet 103b form.So-called herein controlled target transforming function transformation function generation rule selection portion 103a1 can start the transforming function transformation function selective rule of setting by each building character from the environment for use information of elevator, and select with in transforming function transformation function data bank 103a2, write down in advance require the corresponding transforming function transformation function project of target S ₁, S ₂..., the function f among the Sn _S1... f _Sn

Expression has an example of transforming function transformation function in Figure 27 A, 27B, 27C.This subordinate that is equivalent to fuzzy control becomes (membershin) function etc.In Figure 27 A,, can select f for example for the destination item that requires of " wishing fast dot product " _1a(x ₁) or f _1b(x ₁) (f herein _1d(x ₁) be the function when the balcony information query device is arranged, f _1b(x ₁) function when not having then) and function.Consider that promptly the balcony information query device has or the environment for use of the elevator when not having, in controlled target transforming function transformation function generation rule selection portion 103a1, be retrieved as " IF (as) no balcony information query device AND (and) wish to take advantage of THEN (then) f at once ₁(x)=f _1b(x ₁) " this rule, and select controlled target transforming function transformation function f _1b(x ₁).Same " the sky car is taken advantage of in hope " represented respectively for Figure 27 B, 27C, " wish to hurry up and arrive " waits requires destination item, also will consider elevator environment for use separately, the selection transforming function transformation function.

Again, as in the example shown in Figure 27 A-27B, what be readily understood that is such, and the judgement project of establishing the environment for use of elevator is a kind of, and the combination that is actually by a plurality of projects decides the transforming function transformation function that will use.

Below, expression is used the fwd transforming function transformation function and will be required expected value to be transformed to the example of control target.

This that to " wish fast dot product " in Figure 27 A as when goal-setting requires expected value to be set at 4, and transforming function transformation function reaches according to generation rule selects f ₁(x)=f _1b(x ₁), then can calculate expected value x from transforming function transformation function as the wait time of control target ₁Be in particular x ₁=40 seconds.40 seconds that calculate these value decidables are maximum wait time (limits value) of allowing, wait time are recorded as to be lower than 40 seconds value in controlled target table 103b.This environment for use and weighted value that must reach the elevator of controlled target also is recorded on this controlled target table 103b certainly in the lump again.Thereby the indirect qualitatively expected value that requires of general is transformed to quantitative direct control target.

In Figure 28, represent to have and require corresponding control item purpose one example of destination item.

It is corresponding one by one to require target and controlled target to record and narrate in Figure 28, and actually one require target can influence a plurality of controlled target [for example be not only wait time when what is called is wished the project of fast dot product and car call arrives first rate (lighted outside the elevator of reservation lamp the wrong number of times that arrives of elevator divided by the merchant of total balcony calls gained) satisfying, or the information inquiry amount being greatly affected also].

Be sent in the control implementation portion 104 (three according to Figure 21) by a plurality of control target that above method determined.In control implementation portion 104 shown in Figure 29 with existing knowledge (control method selective rule) among the knowledge base 104e to derive several candidate control methods of the control method that exists attainable possibility (for example minimum latency distribute control (Min), maximum wait time to minimize distribute control (Min-Max), average latency to minimize distribute control, the service control etc. of floating) according to the information of controlled target table 103b.(as attainable control method is a kind of, then can be used to determine control method.) several candidate control methods that derive like this are sent to the elevator simulation experiment 104g of portion of simulation elevator action on software.In the 104g of simulated experiment portion, from previous controlled target table 103b, take out the data of the specification etc. of volume of traffic, elevator, carry out simulated experiment with a plurality of control methods of having selected, put its result in order according to previous each controlled target project, and value is reached in the prediction of obtaining each controlled target.The prediction of being obtained is reached value and is sent on the multiple goal will determination section 104h, herein and the control target that is predetermined compare, select it to reach the control method of degree the best.

About the comparison of its quality, for example make expected value in order to each controlled target Vector for key element Expression expected value as a whole is in order to the expected value f of each controlled target _i(i=1 ... n) be the vector f=(f of key element ₁, f ₂... f _n) represent that prediction as a whole reaches value, and by reaching the value vector for expected value vector f and prediction with weighting

The value 1 of distance _p(norm

Measure and compare, and select its control method apart from minimum.The control method of Xuan Zeing is pressed the information storage of every kind of elevator environment for use in control method data bank 104f like this.More than be just to describe in the action of off line (off-line) mode.

Describe with regard to action below again with online (on-line) mode.Will be in control implementation portion 104 from the signal S of the terraced control part 106 of each number electromechanics ₂Signal S from balcony call control department 105 ₁Be input to elevator service data collection unit 104a.Use the data of input to make the short time in the elevator service data collection unit 104a elevator of (promptly starting at before take place that balcony calls out about 10 minutes) uses information data, and (traffic needs data, the position of elevator and rotation direction, distribute balcony to call out, ridership (ridership) in the car, etc.).The data letter of obtaining is herein suffered from S ₃Be sent to learning system 104b.In learning system 104b, learn traffic needs and wait time and other data of each time band according to these data.The information S that uses these to learn ₅Use information S with the short time that on the 104a of data gathering portion, makes ₃, the operational situation of judgement elevator in control method selection portion 104.Again in this control method selection portion 104d as previously mentioned for a plurality of control target of input in advance, the knowledge base 104e that selects from control method and storing has in the control method data bank 104f of 104g of simulated experiment portion and the control method that determined among multiple goal will determination section 104h and uses the control method selective rule to select the control method that matches with the elevator running operational situation.Selected herein control method is used as signal S ₄Send to crowd management control system 104c, use the control method of sending to carry out the dynamo-electric terraced evaluation of each number herein, and decision selection number dynamo-electric ladder, new balcony call distribution is instructed as signal S ₂Send to and select number dynamo-electric ladder.

Figure 30 A-30C represents an example of the control method selective rule of call distribution.Rule list is made of three parts as shown in the figure.For expression should be applicable to the registration rule the table whether rule on the rotation direction in each building is defined, be added with the symbol place well-regulated definition of " zero " among the same figure at the T11 shown in Figure 30 A.In this example, represent to have rising calling registering rule 3, call out for the rising in the 3rd buildings and then registering rule 1 and regular 3 for the 1st building.Other the above-mentioned explanation of partial sum that is added with symbol " zero " is identical, and each rule is being registered in expression.At the rule condition table of the T12 shown in Figure 30 B for each regular condition part of record.Have as condition enactment the environment for use information that is equivalent to elevator what day, constantly, the command content of traffic needs etc. and control target (wait time, the rate that takes a lift, call out report time etc.).These conditions all as AND (with) condition handles, with OR (or) then register when condition is handled as other rule.These each data are being write with the criterion formula.For example so-called take a lift rate the condition below 30% can record and narrate into WEIGHT (K)=＜SEKISAI (K) * 0.3 ... (1) but WE1GHT (K): the personnel SEKISAI (K) by bus of K number dynamo-electric ladder: the staffing of K number dynamo-electric ladder

At the T13 shown in Figure 30 C is the rule implementation table of the implementation part when having write down each regular condition establishment, and records number number of bounds evaluation or allocated elevators.Be to select the bounds evaluation of the elevator of the fastest arrival to be described as follows the elevator below 30% for example from staffing:

……(2) ASIGN?K?FOR?MIN[VALUE(.K)]

(3) but VALUE (K): the arrangement K of evaluation number: corresponding to the parameter ASSIGN of number machine: Distribution Unit MAX: the data that in fact maxim is recorded in each table are with the above-mentioned various binary data that microelectronic computer may be carried out computing that is transformed to.Place, empty again hurdle means there is not condition.

If with flowcharting action recited above, then as shown in figure 31.At first set the environment for use (E10) of elevator.Select and the cooresponding destination item that requires of E10 target setting value (E20) then.According to the elevator environment for use of setting with require target, make the starting of controlled target transforming function transformation function create-rule, changes persuing exchange the letters number (E30).Just, when single decision control target, in create-rule determination section 103al decision control target.Utilize selected transforming function transformation function then, requiring expected value to be transformed into control target (E40) at E30.Control target after the conversion is recorded in (E50) on the controlled target table.Operation is carried out device 104 from transferring to control here.Utilize the value of controlled target table, utilize the expertise of pre-determined setting, select the control method (G10) of candidate.Selected different control methods is transfused to the 104g of simulated experiment portion, utilizes the system with the action of software mode simulant elevator, makes it to carry out dry run (G20) according to imposing a condition.From this operation result, calculate each control item purpose prediction and reach value (G30).Value is reached in the prediction of each control method done than sieve with the expected value of utilizing the input of multiple goal will determination device, select target reaches the control method (G40) of degree the best.Again, also can show control method,, then carry out repeatedly from requiring the processing of goal-setting E20 to G30, to select best control method if can not get approving of to the user.The control method of choosing is used information with elevator, is deposited in control method data sheet (decision table 64) (G50).Above-mentioned from E10-E50, the processing of G10-G50, from the control of elevator, can off line processing.

Then, sign on L10 is carried out in control according to elevator, begins to carry out the running control of elevator.The processing of at first carrying out each balcony calling signal is that balcony is called out input processing (L20).The letter that passes through that execution again will exchange from the various data of each number elevator control part is handled (L30).Ask environment for use information according to these data, utilize the environment for use information of trying to achieve, from the mode data; Instruction 104f selects the control method of using (L40).Then, determine only call distribution car, carry out call distribution and handle (L 50) by the control method of choosing.Arrive predicted time etc. according to each balcony call distribution information and elevator, determine the guiding content of each balcony guided display, report processing (L60).Except that above-mentioned processing, also carry out the following reason (L70) of the output of various data and demonstration etc.Then differentiating, behind this a series of EO, is that Shu Jixu carries out camel commentaries on classics (L80), in the time will remaining in operation, repeats the processing of L20 once more, finishes in the time of will finishing in running.

Utilize Figure 32 to illustrate in the above-mentioned diagram of circuit shown in Figure 31, user's eyes can be seen the general flowchart of the processing of part.At first, in case the user closes a switch, the drawing that requires target (for example the 23rd figure, the 24th figure) that the initial stage just occurred setting (E0).Then, at the drawing of initial setting, the user utilizes mouse shape robot scaling equipment etc., and the expected value (E20) of the target of change is wished in input.In case all change value end of input (EOI) (send change end signal) promptly utilize the device of transforming function transformation function etc., requiring object transformation to become controlled target (E40).As if then, utilize controlled target table and knowledge base, selection can reach the control method (G10) of marquis's benefit of each controlled target best.Here, the control method of the candidate of choosing is 1 sometimes, is a plurality of sometimes, so will differentiate 1 still a plurality of (G15) is only arranged, if only there is 1, this method is sent to the 104g of simulated experiment portion (G20 ') immediately.At the 104g of simulated experiment portion, the traffic flow data of setting when utilizing input to require target etc. is simulated.From its experimental result, ask the prediction of the controlled target of previous setting to reach value (G30 ').Its result is changed into by inversion and requires target, shows (G45 ') with the previous target of setting that requires of user.

And under the situation of having chosen a plurality of control methods, carry out simulated experiment (G20) with regard to each control method, consequently, with regard to each control method, the target of prediction that calculates each controlled target is reached value (G30).Then, the target of prediction that calculates is reached value and expected value is made comparisons, calculate the integration objective degree of reaching (G35) of per 1 control method.Relatively this integration objective degree of reaching of each control method is decided to be optimum controling method (G40) to target Achievement Level maximum (or little).The target of prediction of this control method of choosing is reached value transform become to require expected value, do to show (G 45) with the expected value that requires that previous user sets.If the user shows drawing according to this, the control method that is judged as with system's decision is

Passable (G60) then is sent to this method control method table (G70).If be judged as with this method badly, then repeat to carry out from E20 once more.

Then according to object lesson, to from requiring target input to the processing that control method writes the off line sexual act of decision table 641 to describe.

At first, suppose as the building specification in the elevator environment for use, hotel and elevator specification (platform number, speed, service floor etc.) are set as shown in figure 33, secondly, suppose the environment for use information as elevator, key horizon (information desk layer), volume of traffic are general, the time of check in (check-in) band etc. is set.

At this moment, establishing and requiring destination item is 6 projects shown in Figure 34, and the value that then makes solid line is as initial value, sets in system side in advance.(certainly, also can constitute and directly set by the user) establish the input media that the user utilizes mouse shape robot scaling equipment etc., require what " wish to be multiplied by as soon as possible " among this figure expected value to set to be altered to 4 value (Figure 31 E20) from 1 value.Set change simultaneously with this, also import the priority that reaches together.If the priority that reaches is identical with the priority that reaches of initial setting, and the lower words of priority that the project of setting change request is arranged, because control method in the cards is no change also, so urge the client reprioritize.Here, make expected value become big, priority is taken to No. 1, and when expected value diminishes than initial setting value, the companion order is taken to No. 6 (at last) than initial setting value owing to setting change.

Then, require expected value to be transformed into the expected value of control usefulness for hope being multiplied by as soon as possible this, controlled target transforming function transformation function create-rule determination section 103al is started.Provide an example of rule (hotel is used) below.

1) hope is multiplied by the rule group of this project as soon as possible

Rule 1

The time that II (if) hotel AND (and) checks in

THEN (then) f ₁(x)=f _1h(x ₁)

Rule 2

IF (if) hotel AND (and) lunch time

THEN (then) f ₁(x)=f _1h(x ₂)

……………

Select the object transformation function (Figure 31 E30) of the condition consistent with above-mentioned rule.This selected object transformation function (is established the f of Figure 35 here _1h(x ₁) selected) be sent to object transformation portion 103 (Figure 21), calculate controlled target at this.Promptly, because the expected value that requires of initial setting is 1, so before this, wait time was set at below 40 seconds, and because current the setting, require expected value to be set to 4, so this expected value is set to (Figure 31 E40) below 25 seconds.According to this expected value, the previous controlled target tabular value of setting (Figure 31 E50) of change.At this moment, also change together of the power of controlled target table.Figure 36 provided current controlled target before changing with after changing state.

Utilize in advance the knowledge base that configures by expertise etc., select to satisfy the control method (Figure 31 G10) of the candidate of this this controlled target.Provide an example of this selective rule below.

Rule 1

IF (if) time band=T _Z1And (with) volume of traffic 〉=a and (with) the information desk layer

φ=T then ₁

Rule 2

IF (if) time band T _Z1And (with) volume of traffic 〉=a and (with) general layer

φ=T then ₂

…………

Herein, T _Z1The time band that expression checks in, volume of traffic a people/platform 5 minutes, T ₁, T ₂Show calling allocation method.At this, calling allocation method T ₁Be wait time smallest allocation method (Min), its evaluation number is tried to achieve with following formula.

φ _k＝T _k-α·T _Ak+α’·T _Bk ……(4)

T ₁＝min(φ ₁，……φ _k) ……(5)

Wherein, φ _k: the balcony wait time evaluation number of k elevator

T _k: the k elevator arrives the new time of distributing balcony to call out layer

T _Ak: the distribution of having considered the k elevator finishes that balcony is called out and car call

Evaluation number stops call

T _Bk: concentrate evaluation number with the corresponding load of elevator state

α, α ': weight coefficient

In addition, T ₂Maximum wait time minimum calling allocation method (Min-Max), try to achieve with following formula:

φ _ki＝T _ki+T _Pi-α·T _Aki+α’·T _Bki ……(6)

φ _Ki: the evaluation number of distributing to the i floor Room calling of k elevator

T _Ki: the k elevator played the time that arrives the i layer from now

T _Pi: call out the generation elapsed time from the i floor Room

T _Aki: the evaluation number that stops call of k elevator

T _Bki: concentrate evaluation number with the corresponding load of elevator state

α, α ': weight coefficient

φ _k＝max(φ _k1，……φ _ki) ……(7)

T ₂＝min(φ ₁，φ ₂，……φ _k) ……(8)

Just, ask the balcony of distributing to each each number elevator to call out one by one evaluation number (or (6)), select its maximum evaluation number (formula (7)), give its evaluation number minimum call distribution.

In addition, also preparing to select average latency distributive judgement method, wait time distribution distributive judgement method, car distributive judgement method and made up evaluation method of these evaluation methods etc., the rule of Gong Shihua distributive judgement method uniformly-spaced in the knowledge base.

At this control method selective rule determination section 103a1, except calling allocation method, also can select simultaneously in conjunction with various operation scheme.In the example in above-mentioned hotel, also instruction makes the elevator of not bearing calling return the porch mode (so-called porch mode, refer to allow the car of uncertain whereabouts return the mode that porch is waited for) of key horizon simultaneously.At this, suppose that the user imports the result who requires expected value, minimum evaluation method of wait time and the such two kinds of methods of average latency evaluation method are as being derived like the control method that can realize.And in the initial setting of system side,, obtain the expected value of initial setting by suppressing to wait as long for the minimum calling allocation method of maximum wait time of generation.But, because wait time smallest allocation evaluation method and average latency distributive judgement method are selected as the candidate method, so selected two kinds of call distribution evaluation methods and operation scheme are sent to simulated experiment portion and carry out simulated experiment (Figure 31 G20).Experimental result, the result when obtaining to adopt above-mentioned two kinds of distributive judgement methods and other operation scheme.If the distributive judgement method is changed, then can obtain the prediction of each controlled target as shown in figure 37 and reach value (Figure 31 G30).From this result,, utilize norm by the multiple goal will decision gimmick of reaching one of value evaluation gimmick that the front illustrated $l_p=\underset{i=0}{\overset{n}{\mathrm{\&Sigma;}}}\mathrm{\&omega;i}|f_i-\widehat{f_i}|,$ Ask the l of each distribution method relatively _pSpecifically, the evaluation method of reaching as this target is evaluated as zero to the value of the project that has satisfied target value set, is multiplied by each weight coefficient value on the value not reaching, and asks target not reach the size of value.Again, the power of weight coefficient ω i as setting when each controlled target is set.According to above-mentioned condition, by the norm formula $l_p=\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}\mathrm{\&omega;i}|f_i-\widehat{f_i}|,$ Degree of reaching is asked by each control method of Figure 37 of simulated experiment acquisition in the front.For example, about degree of the reaching l of wait time minimum method _Pi, be shown below:

l _P1＝8(40-30)+7(5-3)+6(3-3)+9(25-25)+5(-35+30)+4(0.1-1)

In following formula, the 1st is the rate of taking a lift, and the 2nd is the reservation volatility, and the 3rd arrives first rate for car call, and the 4th be the balcony wait time, and the 5th be traffic capacity, and the 6th is to preengage report time.Herein, the expected value of the 5th traffic capacity be 30 people/minute more than, be the bigger the better than expected value, all the other are every more the smaller the better than expected value, so the plus-minus the formula difference.Ask l according to above-mentioned condition _P1, then

l _P1＝8×10+7×2+6×0+9×10+5×0+4×0＝94

If equally the average latency method is carried out computing, then l _P2=147.As mentioned above, specifically in order to make explanation be convenient to understand, negative item as zero, but other evaluation method is arranged in fact also, promptly the weight coefficient ω i of each each assessment item as making the coefficient of respectively controlling the project smoothing, the value good the delivery rate that is changed to 0 specifically also adds evaluation number evaluation.

Its result, the minimum calling allocation method of the wait time of smaller side is selected.The control target of the control method that this is selected is changed into by inversion again and requires target, with the form of radar chart, shows simultaneously with the initial setting value in (dotted line of Figure 34).Here, passable if the user is judged as with this method, then selected control method is registered, is credited to the control method data sheet.

Above with concrete example, the processing of the E10-G50 of Figure 31 is illustrated.So far explanation is to establish under the situation that all processing all carry out in the group manages control part.

Figure 38 has provided the version of one embodiment of the invention.Present embodiment is by requiring goal-setting support portion 109 and group's management control part 101 ' to constitute, and the part after the group manages control part 101 ' and multiple goal will determination section 104h, the 104g of simulated experiment portion and knowledge base 104e remove in the control implementation portion 104 that illustrated from the front is identical.Just, from control implementation portion 104, take out the off line action part that constitutes by 104g, 104h, 104e, the part of remainder as 1 device.

Require goal-setting support portion 109 to comprise: formation requires require the target input and output 102a ' of portion and the elevator environment for use of goal-setting portion 102 to import configuration part 102b ', constitutes the controlled target transforming function transformation function create-rule determination section 103a of object transformation portion 103 ₁, transforming function transformation function data bank 103a ₂And the 103a of object transformation portion ₃, and 104 mode selective rule 104he, the 104g of simulated experiment portion and the control method database part 104f interior, that made up many purposes will determination section and knowledge base of control implementation portion that were included in Figure 29 originally.Require goal-setting support portion 109 roles to be, a plurality of control methods that require target of input are satisfied in decision, and this determined control method is recorded in the control method data bank in group's management control part.If constitute like this, just can manage the control part main body fully irrespectively with the group, to require this understandable form input user's of target requirement, and be converted into controlling valu, so following effect is arranged, promptly, for example, can be with portable personal microcomputer (lap top type etc.) or various terminating set, make the goal-setting support portion 109 that requires, and utilize it, in the places such as service warehouse of separating fully in the building with being provided with of elevator, enter into negotiations with regard to the problems such as control of elevator operation etc. with the user.

Provide other embodiment from Figure 39.Its formation with illustrated at Figure 38 require goal-setting support system 109 and group management control apparatus 101 ' basic identical, characteristics are, adopt the back that the AHP gimmicks of introducing such as (Analytic Hierarchy Process) is carried out adjustment between requirement target (control 2 marks).

Figure 39 is whole pie graph, and the goal-setting support portion 109 that requires of the embodiment among control method determination section 109 ' and front Figure 38 adopts roughly the same formation.Specifically be, it is by requiring input part 109 '-1 and control method inference portion 109 '-2 to constitute, require input part 109 '-1 user's the expected value that requires, should reach the environment for use of elevator of operation conditions etc. of the elevator of requirement expected value, utilize input terminal I (this is identical with 102-1 among Figure 21) input, utilize again and require input knowledge base 109 '-4, environment, traffic needs data bank 109 '-5 grade to be transformed into control target (and weighting or priority), 109 '-2 in control method inference portion utilizes environment, traffic needs data bank 109 '-5 and control method decision knowledge base 109 '-6, by inference, select the decision control method.Again, group management control part 101 " be that the data sheet with control method that storage obtains by control method determination section 109 ' (is commonly referred to as decision table etc., sees square frame 3b and Figure 48 of Fig. 2.), and according to from the signal of each number elevator control part 106 and the signal of balcony, differentiate the operation conditions of elevator, take out the control method in the data sheet, implementation control, it has collects for example data of the service condition of wait time, ridership etc., and differentiate the learning system 101 '-1 of feature mode, generates new feature mode, work out (with reference to Japanese kokai publication sho 59-48369 numbers) such as intelligence systems 101 '-2 of new operation procedure.

Figure 40 illustrates the example that knowledge acquisition portion 109 '-3 is set at control method determination section 109 '.

Knowledge acquisition portion the 109 '-3rd, the learning system 101 of the group being managed control part 101 ' "-1 that collect, be sent to control method determination section 109 ' for the implementation result of each controlled target and situation at that time; when for the degree of reaching of controlled target when low; require control method decision knowledge base to reappraise; when with environment, traffic need data than set difference is arranged significantly the time, require to allow registration as new data.By additional this knowledge acquisition portion 109 '-3, the control method that can seek in the control method determination section 109 ' selects the precision of decision to improve.

The concrete action of control method determination section 109 ' then is described.

Figure 41 is requirement input part 109 '-1 and the action specification figure that requires input knowledge base 109 '-4.

User (client) is by the input terminal of the telltale etc. of personal microcomputer or band touch pad (touch panel), the kind of at first selecting the building (for example, 1 office building, 2 hotels, 3 department stores, 4 hospitals, 5 governments and public institution, 6 live together the building, etc.).If selected the office building to describe among Figure 41.Then, show the specification of representational elevator as shown in figure 42 according to the kind in this building.When changing specification if desired, utilize keyboard or mouse shape robot scaling equipment etc., making amendment from input terminal I gets final product.After this revised the result, input environment, traffic needed again as required.With question and answer mode (guiding form), import user's requirement then.This requires one of example of input, as shown in figure 43.Specifically be, every enquirement for the generic request target of [problem 1 thinks to be multiplied by as soon as possible elevator], have [1. special, 2. a little, 3. general, 4. not very, 5. pay no attention to] such 5 other answers of level, if as answering, selected for 4 (being equivalent to the requirement expected value), the i.e. input of requirement by control method determination section 109 ' knowledge base 109 '-4 (109b ') carry out inference, rule 1 is selected, is transformed into the control target of wait time so concrete controlled target below 40 seconds.(in this example, requiring the project of target and the project of controlled target is one to one.)

Except that the method for above-mentioned requirement input, also have various methodologies, as illustrating among the embodiment in front, employing radar chart etc. also can be imported.For example,, provide the project that requires target and the test pattern of expected value,, set the size of (modification) user's hope according to this figure with radar chart according to the kind in the building of setting, specification, environment for use etc.This method is highly effective (example of the radar chart in office's (company occupies) building is asked for an interview Figure 24) for the user who is unfamiliar with, uncomfortable elevator is controlled.Figure is again, and for all items that requires to import, it is impossible all satisfying best hope, so, can implement following scheme and ask control target.Promptly (1) reports that the scope of the variable expected value of this project (for example, carries out the demonstration of " wait time can be set in 30-40 scope second ".With zone demonstration of different colours etc.), (2) offer user (for example 20 minutes) comprehensively holding branch, allow the user pro rata distribute between projects.Certainly, for the user that can set, also can allow it directly set cuit and expected value according to user's requirement.

Yet, so-called this requires target as mentioned above, be to represent the language that machinery uses with the accessible language of common people, its value be we can say, be to make for the control data that can observe elevator control situation (balcony wait time, the time that takes a lift, reservation volatility, full percent of pass, the number that takes a lift, conveying number, or the like) expected value (control target) normalization (being divided into 5 grades), and represent with analog quantity or digital quantity.In addition, sometimes, 1 requires target also can comprise controlled target more than 2.

Again, be to consider requiring expected value and must meeting the requirements of environment, traffic needs of input, ask control target and utilize the requirement input knowledge base 109 '-4 (109 ' b) of Figure 41 to carry out inference.But in the production rule shown in the requirement input knowledge base 109 '-4 (109 ' b) of Figure 41, needn't use the transforming function transformation function or the map table (Figure 27 etc.) that illustrated among the embodiment in front, promptly be transformed into control target, and for inapt factor (also comprising weather etc.), then be necessary to use special-purpose transforming function transformation function, map table, be transformed into control target (this some explanation is because of identical with fwd embodiment, so give up what one treasures).

Can will require object transformation to become quantitative controlled target qualitatively with said method, but requiring destination item and controlled target project may not be one to one, in fact, require destination item often to have influence on a plurality of controlled target projects.For example, in " wish hurry up " such requiring under the situation that destination item is transfused to, shorten requirement, the hope of wait time except hope and shorten the requirement of the time that takes a lift, also comprising for the various requirements such as requirement of not wanting to wait as long for (reduction that waits as long for rate).Therefore, be necessary the project that requires target is divided into the project of a plurality of controlled target, ask each expected value again.As an example, environment for use, traffic needs according to elevator, in advance by methods such as simulations, ask the mutual degree of correlation of control project that requires corresponding to the user, and describe with regard to cutting apart aforementioned the requirement by relevant kilsyth basalt shown in Figure 24 (being stored in requirement input knowledge base 109 '-4 etc.).For example, establish " wish hurry up " this requirement 0-5 by normalized numerical value in, input 4.This moment environment for use if the relevant kilsyth basalt of Figure 44 1., then because in this example, the degree of correlation is with the numeric representation of 0-5, so, the degree of the requirement of each controlled target is respectively with respect to the above-mentioned requirements expected value:

Wish fast dot product (wait time): 4 * 3/5=2.4

Wish to shorten the time (taking a lift the time) of taking advantage of: 4 * 5/5=4

Wish to reduce and wait as long for (waiting as long for rate): 4 * 2/5=1.6

Wish to take advantage of empty car (degree of congestion in the car): 4 * 1/5=0.8

As implied above resetting requires expected value, and with this value, the method that illustrated with the front, $\left[\begin{array}{c}0.033\\ 0.063\end{array}\right]$

The result of above-mentioned example is, is 0.513 at the wait time of balcony, and the time of taking a lift is 0.261.

Again, if use relevant kilsyth basalt shown in Figure 44, then because power has been included in the value of its degree of correlation, so, there is no need to set new weighting or priority.Also have, adopting the scope that requires input time limit value of setting the goal, or hold under the situation of method etc. of branch, also can omit during being set with of weighting or priority.

Utilize above-mentioned gimmick, make the customer requirement table 109 among Figure 41 ' c.At this customer requirement table 109 ' storing control target and weighting (priority) among the c, then in control method inference portion 109 '-2, decision can be satisfied the control method (seeing Figure 40) of this control target.

When this is selected when decision, at first, to be the selected various operating methods in every kind of building (for example, be provided with the operation in the district that walks rapidly, interlayer or the skip floor operation of serving every multilayer, the through operation to certain layer preestablishes the operation of starting order, be preferably the operation of certain layer service, or the like) make stipulations regular chosen.For example, if at the work hours in office building band, the requirement of traffic capacity is paid attention in input, when being provided with 6 elevators, just can allow 3 in the low layer district, in addition 3 are separately used at high rise zone, perhaps when key horizon had several elevators waiting for, by providing starting order, one reaches predetermined seating capacity promptly allowed it set out, or allow it set out at a certain time interval, the traffic capacity of operation is improved.Also can regulation the operating method that combines more than 1 or 2 in this operating method.Then select the call distribution control method of the operating method that is prescribed and the parameter of use.When selecting these control methods, need data sheet 109 '-5, select with control method decision knowledge base 109 '-6 (rule) shown in Figure 47 with reference to environment, traffic.Value is reached in the prediction of inferring when adopting this selected operating method and call distribution control method and operation parameter, requires target with requiring input part 109 '-1 inversion to change into, shows at input terminal 1.Just, show prediction to client and reach value, after obtaining client and admitting, be recorded in shown in Figure 48, be located at group management control apparatus 101 " in be transformed into control target.

Again,, be divided into two stages to ask control target, require target input knowledge data base 109 '-4, also can try to achieve control target once from the degree of correlation by driving even be not as implied above.

As implied above, can try to achieve control target from requiring target.But when also having control not satisfy control target fully, can expect fully, have the control method of carrying out team control and can not one make decision the situation that the control target of setting is not fully reflected.Therefore, it is necessary to, set and pay attention to what this weighting or priority ranking each controlled target (requiring target).This weighting etc. can certainly directly determine by user's side as described in the embodiment in front, if but adopt the AHP gimmick then more effective.

Utilize Figure 45 and Figure 46 that this AHP is described.If passenger's requirement has " wishing to be multiplied by as soon as possible (wait time) ", " wish to carry more people's (traffic capacity) ", " wish to reduce the time (taking a lift the time) of taking advantage of ", " wish the car (prediction hit rate) of correct notice reservation ", " wishing empty car (degree of congestion in the car) " such 5.For these requirements, as shown in figure 45, with the comparison of the importance degree between each requirement with 1 pair 1, the input of dialogism ground.From this setting value, be compiled into 1 couple as shown in figure 46 1 comparison sheet, make 1 couple 1 relatively determinant A from this table, the inherent vector V of the comparison determinant A by asking this 1 couple 1, decision is for the importance degree that respectively requires project (weight coefficient value). $A\left[\begin{array}{ccccc}1& 5& 3& 9& 7\\ 1/5& 1& 1/3& 5& 3\\ 1/3& 3& 1& 7& 5\\ 1/9& 1/5& 1/7& 1& 1/3\\ 1/7& 1/3& 1/5& 3& 1\end{array}\right]$ $V=\left[\begin{array}{c}0.513\\ 0.129\\ 0.261\end{array}\right]$ Decision table 101 " on-3.Again, Figure 48 is that benchmark is represented with the time band, still, also can make it simultaneously by traffic flow pattern and divide, and service direction also can be recorded on the same table.Manage the control part side the group, utilize the traffic flow pattern of learning, in clock, the differentiation situation of establishing, call out out and the cooresponding decision table of various situations, carry out the control that meets this content.

As the variation of other embodiment of the invention described above, according to circumstances also can make as follows.

At first, as shown in figure 40, knowledge acquisition portion 109 '-3 is set in control method determination section 109 '.

The group is managed control part 101 " among the working control elevator result; with the cooresponding data of each controlled target; collect by learning system, and need reach by each environment, traffic by 1 day for unit, got off in 1 week for the outcome record that unit carries out statistical treatment.This learning system 101 again "-1; though also succeed in school not have direct connection with client simultaneously; the item of remote effect is arranged; for example, the reject rate that takes a lift, floor height are measured the data of the running time of usefulness, the generation that waits as long for unusually and elevator state at that time, the generation that stops for a long time etc.Above learning data can pass through control method determination section 109 ', shows to client.In addition, in control method determination section 109 ', accept learning data, and in knowledge acquisition portion 109 '-3, control target and learning data that previous input is on request made are made comparisons, if satisfied expected value, then the measured result contravariant is changed into the accessible target that requires of client, and demonstrate with radar chart etc.If the item less than the foot-eye value has taken place, then investigate, in service condition at that time, whether specific phenomenon has taken place (for example, whether does refusal takes a lift often take place? whether the Occupation coefficient of the floor outside the prediction has increased or the like), if this phenomenon has taken place, then utilize above-mentioned environment for use data, by control method inference portion 109 '-2, reselect other control method.If do not meet the selective rule of environment for use data, then utilize immediate environment for use data to carry out inference.

Making comparisons of the control method that obtains by this inference and parameter and last time, if identical with last time, just, would require to work out new rule to the outside report.If selected different control methods and parameter, just put question to client, could in above-mentioned actual measurement environment for use, use, obtain permission, just it be recorded in the intelligence system 101 of being located at group management control part 101 ' " decision table 101 in-2 " on-3.In addition, this knowledge acquisition portion 109 '-3 also has, when the group manages control part 101 " learning system 101 "-1 detect new environment has taken place, when traffic needs data, with its as new data replenish to add environment, traffic needs database function, and the device that replenishes has been made in report.

As another change shape, it is exactly the function 109 '-7 of giving control method determination section 109 ' additional mode draft experiment (simulator) shown in Figure 49, obtain the degree of reaching that requires the control target that input part 109 '-1 sets relatively in knowledge acquisition portion 109 '-3, this degree of reaching is as little (or big), then with the environment of surveying, the data that traffic needs correct in the selection that control method inference portion 109 '-2 carries out control method, carry out the result with the simulator prediction, satisfy on the basis of controlled target confirming, control method managed control part 101 to the group " in decision table 101 "-3 transmissions.

In addition, in above-mentioned control method inference portion 109 '-2, selecting occasion, when the control system method of being selected again and estimate with parameter and be used for working control be same person the time, with extract out less than the relevant controlled variable of the item of foot-eye value, the controlled variable that is drawn out of is changed, and simulate, then the value that can meet expected value is registered as new parameter.

Use Figure 50 below, the example of 51 pairs of overall process flow describes.

At first set the kind (301) in building at the control method determination section.Then point out (302) to the specification of the representative elevator in similar building etc.Whether the specification of above-mentioned prompting needs to revise by client is judged (303).Revise if desired and just carry out specification correction (304).That next imports client requires target (305).With requiring to import knowledge base the object transformation of importing is become controlled target (306).Inquire then whether the priority between each control target can set (307) by client one side.As not setting, then, please it between two targets, set relatively value (308) by carrying out man-to-man comparison with AHP.And, make man-to-man comparator matrix according to this input results, calculate eigen value (309).This eigen value like this as weighting.In addition, if determined power, just ask client to import power (310).The control target of decision is here write down (311) with acting temporarily as for the customer requirement table and by each controlled target.Then this table is sent (312) to control method inference portion.In control method inference portion, use the control method knowledge base, and environment, traffic need data to select control method (313).As selecteed control method is a kind of words, then best control method is by decision (316), selecteed control method is sent (3 17) to control setup on the basis that user's (requiring the importer) understands be a plurality of occasions (314) if be judged to be selecteed control method, then reach value (315) with simulating the prediction of obtaining each control target, the control target of this value and previous decision is compared, the high control method decision that meets degree of reaching most is optimal control method (3 16).Prediction value of finishing of this determined control method is prompted to client, and sends (317) at the decision table in being located at group's management control part on the basis that client understands.

In addition, Figure 51 is the action of expression knowledge acquisition portion.At first read in the data (401) of group's management control part actual measurement.Next need compare (402) to the data and previous environment, the traffic of setting as expected value that utilize environment, traffic to need in the data of reading in.Judge whether be new state (403) according to this comparative result.If new state compares (404) to controlled target and measured data, judge and whether satisfy expected value.If less than the foot-eye value, newly utilizing environment to need data bank to write down (406) to environment, traffic.Then, in control method inference portion, select (407) with newly utilizing environmental data to carry out control method.Whether to selecteed control method is a plurality of judge (408).In the occasion of having selected a plurality of control methods, each method is simulated (409) with the environmental data that newly utilizes of actual measurement.This result and control target are compared, the control method (410) of select target degree of reaching maximum.In addition, selection result in previous control method is the occasion of mono-control method, as the words (411) different with the control method of last time, this control method is considered as best control method, and this control method is sent (412) to the decision table of group management control apparatus.In addition, if environment for use and environment, traffic need the corresponding to words of data bank (403), carry out the comparison (413) of control target and measured data, as the words (414) that satisfy expected value.Then finish the operation of knowledge acquisition portion.If do not satisfy as yet, the destination item (415) of then releasing and satisfying expected value, extract the rule relevant out with this destination item, the parameter of putting down in writing on rule is changed, and simulate (417), the parameter that can satisfy target is registered as new regulation, and old rule is eliminated.In addition, if in step 405, satisfied target, then new environment for use and control method are at that time registered.

As above, in order to revise new environment, rule, have and to extract ungratified rule out, and can realize the superfine operation control that causes based on The actual running results.

At last, the present invention is to be that object is illustrated with the group management elevator, yet also can be suitable for independent elevator etc.Even just for resembling progress control method (for example express district and the setting that do not stop floor, to (realizations of VIP's (VIP) service etc.), and the guiding to balcony information that just increases is recently represented, the control of door opening and closing speed etc., also can control with realization, perhaps make people's one machine raising by importing support tool by the requirement that imports so-called user.

If according to the present invention, owing to make elevator user's the target (amount qualitatively) that requires automatically be transformed into actual controlled target, therefore might carry out desirable control method without elevator expert's hand.

In addition, after including in, for the actual result who makes the elevator operation, also can utilize earlier operating data conversely inversion change into and require target or control target and prompting, whether the desirable control of front user is being carried out, thereby also can diagnose the situation of utilizing of elevator.

In addition, owing to being on the basis that the user understands, to adopt, so user's ease of use has improved with the employed control method of control executive device.

Other embodiments of the invention are described to Figure 63 with Figure 52.Present embodiment is to have adopted to speak of in Figure 44 and the relevant kilsyth basalt that has illustrated and the similar controlling apparatus for elevator group manage of table.

Figure 52 be main assembly figure of the present invention and and the figure of the relation of peripheral unit, requiring input media 501 is characteristics of present embodiment, and other parts 504,505 and Fig. 1 etc. are similar.Requiring input part 501 is by the 501-1 of output/input interface portion, requires the 501-of object transformation portion 2, degree of correlation knowledge base table 501-3 and read out instrument 502, and input media 503 is formed.Control method determination section 504 is by multiple goal will determination section 504-1, the control method inference 504-2 of portion, the 504-3 of simulated experiment portion, environment traffic flow data storehouse 504-4, control method decision knowledge base 504-5 forms.Group management department 505 manages control part 501 by the group, each number of elevator machine 505-2, and balcony is notified from a phone call button switch 505-3, and distributive judgement data sheet 505-4 forms.In addition, Figure 53 is a data flow diagram.In Figure 52 and Figure 53, the 501-1 of output/input interface portion with control controller function of requirement input part 501 is a form as shown in Figure 54, be write among the degree of correlation knowledge base table 501-3 n inquire a. in conjunction with the user only with INQUIRE statement, or comprise and explain that statement reads in, and to read out instrument 502 outputs.The user presses A (especially need) with hope (grade) b. at each inquiry according to perception to the inquiry a of expression, B (needs), and three stages of C (not wanting) answer, and from input media 503 inputs.This hope (grade) b. is sent to and requires the 501-2 of object transformation portion, and the knowledge C. that utilizes degree of correlation knowledge base table 501-3 presses m controlled target to the importance degree conversion with regard to each hope project.The importance degree that is transformed into is further obtained weighting, the priority of many controlled target by calculation process.Make the value quantification of controlled target in view of the above.Each power priority value of each controlled target (this general name as destination data d.) is sent to control method determination section 504 by the 501-1 of output/input interface portion.

At control method determination section 504, the many purposes will determination section 504-1 with control controller function sends destination data d. to the control method inference 504-2 of portion.The control method inference 504-2 of portion is according to the environment traffic flow data storehouse 504-4 and the control method decision knowledge base 504-5 of relevant this balcony, and several can finish the group management control method of the destination data d. that has obtained inference.This inference result with the data among the environment traffic flow data storehouse 504-4, carries out dry run at the 504-3 of simulated experiment portion that elevator operation, distribution are simulated, and obtains prediction degree of reaching e..At many purposes will determination section 504-1, consider prediction degree of reaching e..From the inference result, select, determine optimal control method.Prediction degree of the reaching e. of selecteed control method to requiring input part 501 to return transmission.

Acceptance is returned post a letter after, the 501-1 of output/input interface portion according to the hope b. of user's input and prediction degree of reaching e. to read out instrument prompting (Figure 63), and seek user's permission.In the occasion that the user can not approve the result, carry out from the input of beginning.In the occasion that the user can approve, enabling signal is circulated a notice of to control method determination section 504 by the 501-1 of output/input interface portion.

Many purposes will determination section 504-1 accepts this, and that group management control method g. is transmitted to group management department 505 with IC routine list etc.

In group management department 505, signal from the balcony call button switch 505-3 of each floor is distributed to many elevator 505-2, and the distributive judgement data sheet 505-4 of group's management control part 505-1 rewrites in the content that obtains from IC-card etc.

Next, come the content of degree of correlation knowledge base table 501-3 is described to Figure 58 with Figure 54.Degree of correlation knowledge base table 501-3 is made up of five program blocks.First program block (Figure 54) is the INQUIRE statement table.Second program block (Figure 55) is to preestablish table (default table) by what each building purposes was divided, and the 3rd program block (Figure 56) is the kilsyth basalt of being correlated with between hope project one control order.The 4th program block (Figure 57) is the expression degree of correlation and input rank and sets in advance the important kilsyth basalt that concerns between the table by what each building purposes was divided.The 5th program block (Figure 58) is the map table of control target.

Figure 54 is the INQUIRE statement table.For n inquiry language name, make to have item number respectively 1., 2. ... n.For each project, cut-and-dried inquiry language name and declarative statement when construction knowledge base.

Figure 55 is that preestablish (default) of each building purposes of expression shows.For a kind of building purposes, in projects, from the purposes in this building, be suitable for big (very important), in (important), little (not really important) preestablish for three kinds.

Figure 56 be with numerical value represent respectively to require project and control what kind of correlationship is arranged between the purpose, with 3 (closely related), 2 (having relevant), 1 (remote effect are arranged), not 0 (not having relevant especially), five kinds of degrees of correlation of-1 (negative being correlated with arranged) are represented.

Figure 57 is used for from user's input rank, the degree of correlation that knowledge base obtains, to setting in advance the function table that carries out calculation process.

Figure 58 is used for the resulting priority of processing that requires the 501-2 of object transformation portion from narrating by the back, is transformed into the map table of quantitative value by each control purpose.

Next the processing method that requires the 501-2 of object transformation portion is described.At first function and the subscript of here using thereof described.

Parameter index word i={ 1., 2., }: the hope item number, 1. ← expression is next

Get soon

I={1,2 ... m}: control purpose numbering, 1 ← expression wait time,

Index word k={1,2 ... l}: building purposes numbering, the special use of 1 ← expression, one company

The building.

Function ... λ (i): the grade of importing at hope (A, B, C)

μ (i, j): the degree of correlation between hope project and control purpose

{3，2，1，0，-l}

δ _k(i): the preset value of each building purposes of relative hope project

Big, in, little }

ρ _k(i, j): each controls purpose, for the importance degree of each hope project

{5，4，3，2，1，0，-1，-2，-3}

τ _k(j): the power of each control item purpose $\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{\mathrm{\&rho;}}_k(i,j)$

φ _k(j): each controls the priority τ of purpose _k(l) ..., τ _k(m) function

ψ _k(j): each controls the value of purpose.

Figure 59 is the diagram of circuit of the requirement object transformation 501-2 of portion.Make employed parameter max (maxim) 801, min (minimum value), pr (in proper order) initial stageization.Obtain building purposes k and from good user's input rank λ (i) 802.

In the circulation of the relevant i of 803-808, read in from preestablish table (Figure 55) 804 and to preestablish δ _k(i), in 805-807 circulation 806, (i, j) back is to the loop jump of the relevant i of 809-819 to read in degree of correlation μ from relevant kilsyth basalt (Figure 56).810-813 the circulation in 811, and with important kilsyth basalt (Figure 57) from λ (i), μ (i, j), δ _k(i) obtain the importance degree ρ of each hope project relatively in _k(i, j).And by it being added to τ with 812 _k(j), at the end can respectively be controlled purpose power τ in the 810-813 circulation _k(j).814,815,816,817 τ _k(j) maxim, minimum value are updated to parameter Max, go among the min.In addition, 818, utilize operation ordering W ₁, perform from number of degrees classification algorithms and use acquisition τ _kThe preparation of priority (j), in 820-823 circulation, for from authority to MINIMUM WEIGHT, at 821 order pr to operation with ordering W ₂Substitution is used W 822 ₁Pr is upgraded.In the circulation of the relevant j of 824-827, with 825 W from before having obtained ₂Obtain the priority φ that respectively controls purpose among the result _k(j), 826 from φ _k(j) in and utilize the controlled purpose value of control purpose value table (Figure 58) ψ _k(i).Just determined the destination data d of the power priority value of control purpose according to the processing of the diagram of circuit of Figure 59 like this.

At last, use reality the experiment situation of this processing to be represented.For the purpose of oversimplifying, make that the building purposes is the hotel, the control purpose is 1: wait time, 2: degree of congestion in the car, 3: reservation is hit rate, 4: elevator time, totally four purposes (m=4).The hope project is got 5 (n=5).

Inquiry among Figure 60 is the inquiry that comprises the hope project of perception.In the perception, 1. mainly being values, 2. is quality, 3., 4. is hobby, is 4. come by the perception guiding.1. the answer of inquiry supposition acquisition is hereto: A, 2.: A, 3.: C, 4.: B, 5.: A.(802 among Figure 59)

λ(①)＝A?λ(②)-A?λ(③)＝C?λ(④)＝B?λ(⑤)＝ A

Function δ is obtained in preestablishing in table, the relevant kilsyth basalt that hotel from Figure 61 is used _{The hotel}(i), μ (i, j) (step 803-808)

δ _{The hotel}(1.)=middle δ _{The hotel}(2.)=big

δ _{The hotel}(3.)=little δ _{The hotel}(4.)=in

δ _{The hotel}(5.)=in $\mathrm{\&mu;}(i,j)=\left[\begin{array}{cccc}3& -1& -1& 1\\ -1& 3& 1& 2\\ 2& -1& 3& 2\\ -1& -1& 1& -1\\ 1& 0& 3& 1\end{array}\right]$

When (i j) carries out conversion with Figure 57, has then determined importance degree ρ this μ _{The hotel}(i j), and then when each control purpose (longitudinal direction) is added computing, just obtains power τ _{The hotel}(j).

(step preface 810-813+819)

τ _{The hotel}(1)=3 τ _{The hotel}(2)=5

τ _{The hotel}(3)=4 τ _{The hotel}(4)=6

Step preface 809+814-823 is for obtaining obtaining according to the number of degrees classification application preparation of priority, and its numerical value is omitted, consequently (step 825)

_ _{The hotel}(1)=4 _ _{The hotel}(2)=2

_ _{The hotel}(3)=3 _ _{The hotel}(4)=1

The step preface 826 in, just can determine from Figure 62 each controlled target quantification value ψ _{The hotel}(j).

ψ _{The hotel}(1): wait time ... below 35 seconds

ψ _{The hotel}(2): bridge railway carriage or compartment degree of congestion ... below 50%

ψ _{The hotel}(3): give the rate of hitting approximately ... more than 93%

ψ _{The hotel}(4): the elevator time ... below 30 seconds

Like this by determined power τ _{The hotel}(j); Priority _ (j), value ψ _{The hotel}(j) will become destination data d.

In addition, Figure 63 is that expression is according to the hope of user's input and an example of prediction completeness.

If according to present embodiment, owing to be the method for having taked to use knowledge base to the processing that requires object transformation portion, so the expansion of hope project is easier to.For the complex relationship between the hope project, by changing for preestablishing or the value of the function table (Figure 61 and Figure 62) of importance degree just can make it flexible adaptation.In addition, because knowledge is occurred with the form of form, thus have fast effect of processing time.

In the present embodiment, because therefore the relevant kilsyth basalt in having prepared from Figure 54 to Figure 58 not necessarily needs to have whole forms.Just allow it directly import purposes, the control purpose etc. in building, and by allowing that the user is weighted etc., thereby make omissions, change and become possibility to the user.

The present invention and since be to use knowledge base with perception this require qualitatively or hope is transformed into quantitative control purpose, therefore the composition of the relevant kilsyth basalt in the knowledge base can freely be set up.

Now the main points with present embodiment are as follows for summing up.

At first, give earlier by the expert controlled target with require project to extract out, and these the degree of correlation put together constitute degree of correlation knowledge base table.User, or building manager's etc. importer (user) import and respond with the form that requires project affix grade relatively.Require input part each grade transformation that requires project of having imported to be become the importance degree of each controlled target with degree of correlation knowledge base table.To each controlled target.Importance degree carries out computing, and weight or priority this value obtains make its controlled target quantification with knowledge base.Quantification the value of controlled target, be used for carrying out the control method determination section transmission of the instrument of word target control to conduct with group's management of elevator.At the control method determination section, for quantification controlled target, consider to carry out the computing of prediction completeness by group management control method, signal is returned require input part again.Require input part user's input and the prediction completeness radar chart that obtains, chart such as clavate chart or numerical value are to user prompt.The user can not approve as the result to prompting, then imports again, if can approve, then permits the setting to the elevator group controller control part.Licensed result is by conveyor line, and floppy disk, IC-card etc. are managed control part to the group and transmitted and be set.User's hope is will manage control part the group as quantitative control purpose by following means to set just and reached.

Input perception or the input medium that requires are with keyboard, input end, contact plate etc., user's perception or require as the answer of inquiring is accepted by device.Knowledge base, be as therein, the degree of correlation, the conversion that have deposited the preestablishing of inquiry content, each building purposes, hope project and controlled target in are independently being placed with the file disengaging program of function table, control target etc.Shift means is transformed into control target to the hope from the user according to the content of knowledge base.And output means also utilizes demonstration etc., from user's hope with from the prediction completeness of installing the hope of coming the user being pointed out.

If adopt present embodiment, can be the language representation who uses straightforward to user's inquiry.Even and have and do not know difficult buzz word, also can be hope (perception) datumization to the elevator operation, this a kind of to the user effect and make knowledge enlarge, revise and change easily this a pair of builder's effect.

Secondly, Figure 64-Figure 74 mentions and has illustrated other embodiment.These embodiment, with at Figure 44, mention the same among Figure 45 etc. with the embodiment that has illustrated, its principal character is to adopt the various requirement of the means (being man-to-man comparison, characteristic vector) of AH P etc. to user's input, make its weighted sum attach priority, then be taken into group's management control.

Below, according to accompanying drawing one embodiment of the invention being described, Figure 64 is main assembly figure of the present invention.From I/O device 601 to requiring input part 602 building purposes etc. and the environment that surrounds elevator, and elevator performance etc., and user or supvr imported as the information qualitatively of perceptual form by inquiry and response etc. the requirement of elevator action.Next, this requires input part 602, with the environment of the encirclement elevator of this input and client's requirement, to be stored in the knowledge that requires in the input knowledge base 621, by requiring to import inference portion 622, come the expected value of inference controlled target.And then, from 601 pairs of projects that are equivalent to each controlled target of I/O device, carry out mutual man-to-man comparison, with this result's input, and with its AHP calculating part 623 transmissions in requiring input part 602.At AHP calculating part 623, from this man-to-man comparative result make a pair of relatively row to, calculate this a pair of relatively row eigen value and characteristic vector of drawing.The weight of the composition of this characteristic vector, with it with formerly merge, make customer requirement table 624 with the expected value that requires to import each controlled target that inference portion 622 derives as each controlled target.When the inference control target, be not only from I/O device 601 about flow of traffic and environment, elevator platform number and performance thereof etc. of surrounding elevator and import, also can use and give the data that are stored in earlier in environment, the traffic flow data storehouse 634.

Next, this customer requirement table 624 is promptly delivered to control method determination section 603.At control method determination section 603,, carry out to reach the inference of the such control method of customer requirement table 624 in control method inference portion 632 to give the knowledge that is stored in earlier in the control method decision knowledge base.And then, in control method inference portion 632, obtain the prediction of each controlled target that adopts this control method occasion and reach value, this result is pointed out to I/O device 601, and whether satisfied to turning round and look to this to inquiry.

If, consequently can not be satisfied with, carry out once above program more repeatedly,, then write in the decision table 641 in group's management control part 604 with this control method with for the parameter that realizes the method if this result is satisfied.Group management control part 604 is controlled according to this decision table 641, makes in view of the above to have adopted client and want the group of grave to manage to become possibility.Like this, by client's requirement as the perception this indeterminate be that thing is imported qualitatively, and this inference is transformed into quantitative controlled target with the means of AHP, just can realize having received people proposed group the managing of requiring hastily of giving knowledge fully that does not have relevant elevator.

Then, use Figure 65 A-65C, decide the method for weight to describe adopting AHP.At first, shown in Figure 65 A.By making each controlled target carry out mutual man-to-man comparison, and make a pair of comparison sheet as Figure 65 B.Then, be that the basis makes maximum eigen value λ max and the characteristic vector V that a pair of relatively ranks A as Figure 65 C obtains these ranks with this a pair of comparison sheet.Each of this characteristic vector V becomes to be divided into the weight of each controlled target.

Figure 66 is the pie graph at the control method determination section 603 of the occasion with the simulated experiment function 633 that makes the function that possesses the simulant elevator action in control method determination section 603.In this embodiment, decide with control method determination section 603 and severally can satisfy the such control method of customer requirement table 624, the prediction of each controlled target when carrying out this control method is reached value, by being simulated, the action of carrying out group's management occasion in simulated experiment portion 633 tries to achieve, based on this result, judge that with control method inference portion 632 what kind of control method is better, the result who judges at I/O device 601 enterprising line displays, if good, just write in the decision table 641.

When simulating, use the data that are stored in environment, the traffic flow data storehouse 634 with simulated experiment portion 633.If adopt present embodiment, reach value for prediction, owing to be to use Simulation result, therefore there is no need to give the knowledge of the good relevant this respect of deposit earlier, even there being service floor is different elevators, or the speed of each elevator and the different special occasions of ordering goods, also can try to achieve prediction and reach value with reliability.

Figure 67 is an example of requirement input knowledge base.Belong to client's perception or the traffic of the example that requires need be as prerequisite with the handle of input, and derive the value of each control target.For example, in the office building, for the requirement of giving conversion approximately such as low words, then from rule 1 and rule 2, become to give and hit rate approximately more than 90%, require then, to become bridge railway carriage or compartment degree of congestion below 60% for number of passengers from rule 3 as low.

Figure 68 is a pair of relatively example of input method of AHP.Owing to require relative Link Importance between project, so, just have the effect that to be imported which side of easy resolution visually as important situation if adopt present embodiment with the cursor key input of I/O device.

Figure 69 is an example of flow of traffic, environment data base 634.Be the environment in the building of having stored in the elevator or the flow of traffic in each time, each season and week etc., or elevator platform number, performance etc., from I/O device 601 input or give and be stored in the there earlier, in the inference of carrying out control target or when simulating, to requiring to import inference portion 622, or 633 outputs of simulated experiment portion.

Figure 70 is an example of customer requirement table.Figure 71 is an example of control method decision knowledge base, and Figure 72 is an example of decision table.

Figure 73 A-73C is a pair of method of relatively importing of carrying out AHP by the sky flat dip.If adopt present embodiment, can make this abstract concept of power of each controlled target and sky flat dip this weight concept physically is corresponding represents.

Figure 74 is a radar map, and the expected value of each controlled target of the input of input media is as requested represented that with long and short dash line the prediction of overlapping expression solid line is reached value on same radar map.

Outside above embodiment, do not try to achieve controlled target from perception of having imported or the project that requires, and try to achieve weighting or priority with AHP, and directly import controlled target, try to achieve weighting or priority etc. with the AHP of projects and also might be fit to implement.

The main points of present embodiment are as follows.

The principal character of present embodiment is the multiple requirement of the user being imported with the means of AHP, weighting or attached with priority, and put into group's management control.

Its feature is particularly in for from having imported perception or the claimer of user to the elevator operation, or to ask a plurality of controlled target from the requirement of having imported (be whole wait times at least, the multiplying time, give about interconversion rate, traffic capacity, the using escalator number, wait time, the reservation report time, first arrival rate is called out in the bridge railway carriage or compartment, bridge railway carriage or compartment number of pass times, satisfy number of pass times, the information guide amount, noise level, saving in energy, the elevator starter number of times, scheduled plan is operating more than two) person or directly imported among the controlled target person, to projects weighting or invest the priority aspect and adopted AHP, even notion such as introducing project power does not decide weighting or priority with AHP.

The group management control apparatus of present embodiment, the firstth, to possess user that a plurality of elevator controlled target of input decision use or building manager's hobby, the so-called perception of values and quality or the input media that requires, the inference device of inference controlled target project and control target from the above-mentioned requirement of having imported, calculate the weighting or the priority calculating apparatus of send as an envoy to user or building manager's qualitative requirement with AHP, inference is its feature for the inference device of the control method that realizes each control target and its weighting or priority.

The secondth, give the knowledge base that has stored earlier as environment, elevator platform number and the performance etc. of the encirclement elevator of knowledge and carry out inference if utilize, then better effects if.

The 3rd is that it is its feature that one side is carried out inference so that one side and user or building manager engage in the dialogue with the guiding form.

The 4th is to possess and asks the prediction of each controlled target to reach value, the device of the user being pointed out with chart etc. can be reached prediction value when the operation and carries out understandable prompting engaging in the dialogue with user or building manager.

For the words summed up of action is exactly at first to be necessary to obtain and with the perceptual of input media input or require corresponding controlled target.Here be by input earlier or specify the building purposes or this class of elevator speed is surrounded the environment or the elevator performance of elevator, answer successively again with these and be input as the basis and the inquiry of sending, come the inference control target.

This inference is exactly the knowledge that is transformed into appropriate control target for the environment that will surround elevator and elevator performance for the basic requirement of importing, give being stored in earlier in the knowledge base, use knowledge in this knowledge base and carry out inference and go down and derive control target.

Next,, between each requires, carry out a pair of comparison, make a pair of relatively ranks according to its result for the quite requirement of each control target.Then obtain this a pair of relatively vectorial sum eigen value of ranks.Each of this characteristic vector becomes to be divided into the power of each controlled target relatively.

And then with the expected value of each controlled target of derivation and the prediction that weight is tried to achieve each controlled target are reached value like this, point out to user or building manager by this being transformed into easy to understand ground such as chart, can determine the control method of elevator with conversational mode, thereby can carry out to be the control of user or this class of building manager client understanding.

If according to present embodiment, can be easily to projects weighting that the user imported or attached with priority.

In addition, if according to present embodiment, can realize being not only the wait time of balcony, save the original control project of this class of the energy, and for the time of taking a lift, give about interconversion rate, the requirement of a plurality of projects of these clients such as the number that takes a lift obtains the control method of mediation, moreover because can be with to these control item purpose users, building manager's requirement, with the perception is the form input that class is understood easily, and its prediction result pointed out to client, so can realize the elevator control that allows client satisfy.

Claims (58)

1. many elevators of being on active service between many floors are carried out the elevator control gear that group's management is controlled, its feature comprises:

The device of the controlled target of at least two above-mentioned elevators of input, and

Carry out the device of above-mentioned group's management control with above-mentioned each controlled target.

2. elevator control gear as claimed in claim 1, its feature also comprise each weighting of setting above-mentioned controlled target or the device of priority.

3. elevator control gear as claimed in claim 1 is characterized in that above-mentioned group's management control implementation device comprises:

It is each controlled target or to the quality of its performance that hints or pattern that performance visually contains following each content, relative power, and the device of the key element of volume, area or length, and

By above-mentioned factor change is decided respectively with respect to the weighting of each controlled target or the device of priority.

4. elevator control gear as claimed in claim 1 is characterized in that also having the device of decision in order to the control method that reaches above-mentioned controlled target, and carries out above-mentioned group's management control according to this control method.

5. elevator control gear as claimed in claim 4 is characterized in that above-mentioned control method determination device decides control method according to weighting or priority between each target of the control target of above-mentioned controlled target and controlled target.

6. elevator control gear as claimed in claim 4, it is characterized in that above-mentioned control method determination device contains the device of the candidate control method of selecting at least one control method that is used to reach above-mentioned controlled target, ask the prediction of above-mentioned controlled target to reach the device of value and reach the device that value determines control method according to these predictions with regard to the candidate method of selected control method.

7. elevator control gear as claimed in claim 6 is characterized in that the above-mentioned device of asking prediction to reach value contains with regard to the candidate control method of above-mentioned selection to simulate, reach the analog machine of value to obtain prediction.

8. elevator control gear as claimed in claim 6, it is characterized in that also being provided with make above-mentioned prediction reach value corresponding to the input above-mentioned controlled target and carry out device shown.

9. elevator control device of many elevators between many floors of being on active service being carried out group's management control, it is characterized in that having a plurality of methods of operation of registration and can be with the calling mechanism of selecting method of operation according to operating condition or each time of above-mentioned elevator, and by from exterior signal the content that is registered in the method for operation in the above-mentioned calling mechanism being appended, changed or eliminates.

10. elevator control gear as claimed in claim 9 is characterized in that above-mentioned method of operation contains the control method and the parameter of call distribution at least.

11. elevator control gear as claimed in claim 6, it is characterized in that above-mentioned controlled target contains the balcony wait time, take a lift the time, the reservation volatility, traffic capacity, the number that takes a lift waits as long for rate, the reservation report time, car call arrives first rate, the car number of pass times, full number of pass times, information inquiry amount, noise level, energy-conservation, elevator starter number of times, and at least two key elements in the scheduled plan running.

12. many elevators of being on active service between many floors are carried out the group management control apparatus that the group manages the elevator of control, it is characterized in that having a plurality of elevators of input controlled target device and show that for above-mentioned each controlled target accessible prediction reaches the device of value.

13. the group management control apparatus of elevator as claimed in claim 12 is characterized in that also having that to reach value with the prediction of above-mentioned demonstration be the device that control method is decided on the basis.

14. the group management control apparatus of elevator as claimed in claim 12, it is characterized in that above-mentioned controlled target contains the balcony wait time, take a lift the time, the reservation volatility, traffic capacity, the number that takes a lift waits as long for rate, the reservation report time, car call elder generation arrival rate, the car number of pass times, full number of pass times, information inquiry amount, noise level, energy-conservation, elevator starter number of times, and at least two key elements in the scheduled plan running.

15. many elevators of being on active service between many floors are carried out the group management control apparatus that the group manages the elevator of control, it is characterized in that having the expected value of at least one in priority and the power of device import to(for) the controlled target of a plurality of elevators, storing traffic in advance needs or environment, the knowledge device of the relation between above-mentioned each controlled target and a plurality of control method, by from the signal of above-mentioned input media and be used for reaching the candidate control method of control method of above-mentioned each controlled target with above-mentioned knowledge device inference and the selection device of at least one wherein, candidate control method with regard to the control method selected asks the prediction of above-mentioned each controlled target to reach the device of value by simulated experiment, and is the device that control method is decided on the basis with these predictors.

16. the group management control apparatus of elevator as claimed in claim 15, it is characterized in that above-mentioned controlled target contains the balcony wait time, take a lift the time, the reservation volatility, traffic capacity, the number that takes a lift waits as long for rate, the reservation report time, car call arrives first rate, the car number of pass times, full number of pass times, information inquiry amount, noise level, energy-conservation, elevator starter number of times, and at least two key elements in the scheduled plan running.

17. many elevators of being on active service between many floors are carried out the group management control apparatus that the group manages the elevator of control, it is characterized in that having device for the controlled target input priority and at least one expected value in the power of a plurality of elevators; Store the knowledge device of the relation between traffic needs or environment, above-mentioned each controlled target and a plurality of control method in advance; Thereby ask the special optimum solution of pareira to determine device with above-mentioned knowledge device and by many purposes plan law or objective plan method in order to the control method that reaches above-mentioned each controlled target according to the signal that comes from above-mentioned input media.

18. the group management control apparatus of elevator as claimed in claim 17, it is characterized in that above-mentioned controlled target contains the balcony wait time, take a lift the time, the reservation volatility, traffic capacity, the number that takes a lift waits as long for rate, the reservation report time, car call arrives first rate, the car number of pass times, full number of pass times, information inquiry amount, noise level, energy-conservation, elevator starter number of times, and at least two key elements in the scheduled plan running.

19. elevator control gear that many elevators of being on active service between many floors are carried out group's management control, it is characterized in that having the device of input user, and carry out the device of above-mentioned group's management control according to the perception of above-mentioned input the perception of above-mentioned elevator.

20. elevator control gear as claimed in claim 19 is characterized in that above-mentioned perception contains the value that requires normalization and represented qualitatively that makes above-mentioned elevator operation.

21. elevator control gear as claimed in claim 19 is characterized in that so-called above-mentioned perception contains at least with regard to three sizes that require project relatively to represent the degree of these requirements.

22. elevator control gear as claimed in claim 19 is characterized in that so-called above-mentioned perception contains behaviour in service with above-mentioned elevator and is divided into a plurality of grades and represented between minimum value and maxim.

23. elevator control gear as claimed in claim 22 is characterized in that above-mentioned perceptual input device contains the device that the environment for use of a plurality of perceptual targets and above-mentioned elevator is lumped together input.

24. elevator control gear as claimed in claim 23, it is characterized in that also having the device that is a plurality of controlled target of above-mentioned elevator, and realize above-mentioned group's management control with each controlled target with a plurality of perceptual object transformations.

25. elevator control gear as claimed in claim 24, it is characterized in that above-mentioned controlled target converting means has knowledge base, and be above-mentioned control target with above-mentioned perceptual object transformation with the rule of above-mentioned knowledge base.

26. elevator control gear as claimed in claim 24, it is characterized in that above-mentioned knowledge base has the transforming function transformation function to the environment for use of at least one intended target, relevant every kind of above-mentioned elevator in the above-mentioned perceptual target, and above-mentioned perceptual target is transformed to the control target of above-mentioned elevator respectively with this transforming function transformation function.

27. elevator control gear as claimed in claim 25, it is characterized in that above-mentioned knowledge base has the relevant kilsyth basalt of the connection of each perceptual target of expression and above-mentioned control purpose, and ask above-mentioned control target by this relevant kilsyth basalt.

28. elevator control gear as claimed in claim 24 is characterized in that also having each weighting of the above-mentioned controlled target of setting or the device of priority.

29. elevator control gear as claimed in claim 28 is characterized in that above-mentioned weighting or priority handle (analytical hierarchy process) with the layering of analyzing and obtain.

30. elevator control gear as claimed in claim 24, it is characterized in that also having the device of decision, and be that above-mentioned group's management control is carried out on the basis with this control method in order to the control method that reaches above-mentioned controlled target.

31. elevator control gear as claimed in claim 19, it is characterized in that above-mentioned control carries out device and contain and be collected in the device of in fact each elevator being carried out the result of control, above-mentioned object transformation device contains the device that above-mentioned control contravariant as a result is changed to perceptual expected value, and wherein the contravariant above-mentioned control result that is changed to perceptual expected value is reported to above-mentioned perceptual setting device.

32. elevator control gear as claimed in claim 19 is characterized in that the setting of above-mentioned perceptual target is carried out with radar map.

33. the perceptual input device of an elevator control device, it is characterized in that having the input user to the perception qualitatively of many elevators between many floors of being on active service and be transformed to the device of a plurality of controlled target, the device that carries out inference and determine control method in order to reach each control target, and this control method is registered to device on the control setup of the group management control of carrying out above-mentioned elevator.

34. input media as claimed in claim 33 is characterized in that also having with the above-mentioned control method above-mentioned elevator control device of posting a letter.

35. input media as claimed in claim 33, it is characterized in that the device of importing above-mentioned perception and being transformed to a plurality of controlled target contains predefined perception input knowledge base and the environment traffic needs data bank, and constitute with above-mentioned knowledge base and data bank and by the inference function and decide control target and determine weighting or priority between projects of controlled target.

36. input media as claimed in claim 33, the device that it is characterized in that above-mentioned inference and determine above-mentioned control method needs data bank and control method decision knowledge base to decide control method based on weighting between above-mentioned control target and projects or priority with above-mentioned environment traffic.

37. input media as claimed in claim 36, resulting measured data is the basis detects needs the inconsistent new data of data in data bank and the control method decision knowledge base with above-mentioned environment traffic generation when it is characterized in that also having with the above-mentioned elevator of real-world operation, and these data are appended respectively registers to above-mentioned environment traffic and need the knowledge in data bank and the control method decision knowledge base to obtain device.

38. input media as claimed in claim 36, it is characterized in that also having analog machine, when in above-mentioned control method decision knowledge base, select more than 2 reach the control method of above-mentioned control target the time carry out simulated experiment by above-mentioned analog machine, and the good control method decision after will reaching controlled target on the basis of the data of the experimental result that obtains is optimum controling method.

39. input media as claimed in claim 37, it is characterized in that when above-mentioned measured data reaches above-mentioned control target, need the data inference to determine the device of above-mentioned control method by the environment traffic of using above-mentioned measured data, select control method again, and ask with above-mentioned analog machine with regard to the control method selected and to predict and reach value, give the user with its results suggest, and after admitting, register on the above-mentioned elevator control device.

40. one kind is used for according to the perceptual input device of expectant control purpose to the elevator group controller control of the balcony call distribution elevator of elevator passenger, it is characterized in that having the device of input with respect to the perception input of elevator operation, with so that knowledge base that should the perception quantification and above-mentioned perception is transformed to the converting means of a plurality of control purposes of quantification according to the knowledge in this knowledge base.

41. input media as claimed in claim 40 is characterized in that above-mentioned control purpose for using wait time, waits as long for rate, take a lift the time, the reservation report time, rate is hit in reservation, degree of congestion in the compartment, traffic capacity, percent of pass, information inquiry amount, fractional energy savings, in noise suppression rate or the balcony degree of congestion at least one, with as assessment item, so that try to achieve its improvement.

42. input media as claimed in claim 40, it is characterized in that above-mentioned perception is the values from user or building manager, interest, hobby, the hope qualitatively that sensation or taste derive to the elevator operation.

43. input media as claimed in claim 40 is characterized in that the input of above-mentioned perception is carried out with the guide form that predefined a plurality of hope projects are answered.

44. input media as claimed in claim 40, but it is characterized in that above-mentioned knowledge base is with the form indication hope project of table and a plurality of control purpose degrees of correlation of quantification.

45. input media as claimed in claim 44 is characterized in that the kind correction above-mentioned degree of correlation of above-mentioned knowledge base according to the building.

46. input media as claimed in claim 40, it is characterized in that above-mentioned converting means contain perception that the with good grounds knowledge that is stored in the above-mentioned knowledge base will import be transformed to a plurality of controlled target and with its result carry out between a plurality of controlled target weighting, add priority, carry out the device of quantification again.

47. elevator control method that many elevators of being on active service between many floors are carried out group's management control, it is characterized in that importing the perception of user to above-mentioned elevator, at least calculate the call distribution bounds evaluation and/or the parameter of above-mentioned group's management control by the perception of above-mentioned input, carry out above-mentioned group's management control according to above-mentioned bounds evaluation and parameter.

48. control method as claimed in claim 47, it is characterized in that with above-mentioned perception be transformed to above-mentioned elevator controlled target, and calculate above-mentioned bounds evaluation and/or parameter with this controlled target.

49. call out lift group management control method for the balcony of elevator passenger for one kind according to expectant control purpose allocated elevators, it is characterized in that importing the perception of user, and will be transformed to a plurality of control purposes of quantification with the perception of knowledge base input to the elevator operation.

50. control method as claimed in claim 49 is characterized in that above-mentioned control purpose for using wait time, waits as long for rate, take a lift the time, the reservation report time, rate is hit in reservation, degree of congestion in the compartment, traffic capacity, percent of pass, information inquiry amount, fractional energy savings, in noise suppression rate or the balcony degree of congestion at least one, with as assessment item, so that try to achieve its improvement.

51. control method as claimed in claim 49 is characterized in that the hope qualitatively to the elevator operation that above-mentioned perception derives for values, interest, hobby, sensation or taste from user or building manager.

52. control method as claimed in claim 49, the input that it is characterized in that above-mentioned perception are to carry out with the guide form that predetermined a plurality of hope projects are answered.

53. control method as claimed in claim 49, but it is characterized in that above-mentioned knowledge base makes the degree of correlation that requires a plurality of controlled target of project and quantification with the form indication of table.

54. control method as claimed in claim 53 is characterized in that above-mentioned knowledge base changes the above-mentioned degree of correlation along with the difference of building kind.

55. control method as claimed in claim 49, it is characterized in that the above-mentioned perception that will import according to knowledge that is transformed to is transformed to a plurality of controlled target, carry out the weighting between a plurality of controlled target or add priority with its result, carry out quantification again.

56. control method as claimed in claim 49 is characterized in that projects of above-mentioned perception show with radar map, and imports perceptual expected value with this radar map.

57. the elevator control gear that many elevators between many floors of being on active service are carried out group's management control is characterized in that having and is equipped with in wait time and the car degree of congestion and carries out the device that above-mentioned group's management is controlled as the controlled target of above-mentioned elevator and with each controlled target.

58. control setup as claimed in claim 57 is characterized in that outfit takes a lift the time as above-mentioned controlled target.

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