CN102339017A - Cluster control dispatching method of energy-saving elevators in dynamic subareas during rush time - Google Patents

Abstract

The invention relates to the field of elevators, aims to provide a method for saving energy, lowering consumption and particularly solving the problem of high energy consumption during operation rush time of elevators. The technical scheme adopted by the invention is as follows: a cluster control dispatching method of energy-saving elevators in dynamic subareas during rush time is realized by means of a cluster controller and comprises the following steps of: acquiring the current positions and operation directions of all the elevators by the cluster controller, acquiring all information of passengers inside and outside the current lift car by using a destination floor registration plate, and carrying out rolling dynamic optimization on service floor subareas of all the elevator according to a system energy consumption minimizing rule; during dynamic optimization, calculating the total system energy consumption of the current subarea, the total system energy consumption of an ascending subarea and the total system energy consumption of a descending subarea by using the cluster controller, comparing the three kinds of energy consumption, and carrying out dynamic subarea adjustment on all the subareas in an energy consumption minimum positioning way, so that the energy-saving optimization of cluster control dispatching during rush time is realized. The method is mainly applied to elevator dispatching control occasions.

Description

Team control peak period dynamic partition energy saving elevator dispatching method

Technical field

The present invention relates to the elevator field, relate in particular to a kind of team control peak period dynamic partition energy saving elevator dispatching method.

Background technology

Along with the continuous surge of skyscraper, the demand of elevator becomes increasing in recent years.Under many circumstances, single portion elevator has been difficult to satisfy the needs that efficient quick conveys passengers, so the group control system of being made up of the multi-section elevator becomes more and more general because carrying capacity is limited.

Multiple lift control system is meant installs the multi-section elevator in building; And with this group elevator be connected with central cluster control unit; Control each single portion elevator by means of the management and dispatching of cluster control unit, thereby whole elevator group is moved more efficiently, for the passenger provides better pick-up service.

The core of group control system is a group control algorithm.The subregion dispatching method is one of team control dispatching method relatively more commonly used at present; Its principle is that all floors in the building are divided into different zones; And assign each elevator to be responsible for the different regional floor of service respectively; Thereby realize the dispersion scheduling of using escalator passenger flow,, reach team control scheduling optimization to make full use of the carrying capacity of each elevator.Static partition or dynamic partition dispatching method are two kinds of more common partition methods.Static partition assigns different elevators to be responsible for meeting and sending off different time ladder floors regularly, and dynamic partition is a kind of improvement to static partition, dynamically adjusts the subregion floor that each elevator is responsible for, and carries out the dynamic real-time optimizing scheduling.But above two methods do not consider to practice thrift the whole energy consumption problem of elevator device, can't effectively instruct the energy-saving distribution of multiple lift control system.

In addition, the peak pattern is one of modal travel pattern in the elevator device, mainly comprises peak and following peak.Last peak refers to that mainly a large amount of passengers go to different floors from the building bottom is up, for example, and the working passenger flow in morning etc.; And the peak mainly refers to a large amount of passengers from the descending bottom of going to of the different floors of building down, for example, and next passenger flow at dusk etc.Very severe energy waste will be caused because the using escalator large contingent is improper like the elevator group controlling scheduling in the peak up and down.

Summary of the invention

For overcoming the deficiency of prior art, provide a kind of energy-saving and cost-reducing, the high problem of energy consumption when especially tackling elevator operation peak; The technical scheme that the present invention takes is; Team control peak period dynamic partition energy saving elevator dispatching method realizes by means of cluster control unit, and comprises the following steps:

Cluster control unit will be gathered current each elevator position and traffic direction, gather all information of passenger inside and outside the current car by zone of interest reservation plate, and according to minimization system energy consumption principle to the floor subregion of each elevator service dynamic optimization that rolls; During dynamic optimization; Cluster control unit will calculate the system's total energy consumption under the current subregion respectively; On move and move down the system's total energy consumption under the subregion; And above three energy consumptions are compared, by the partitioned mode that energy consumption is minimum each subregion is carried out the dynamic partition adjustment, realize the energy-conservation optimization of peak period team control scheduling with this.

On move and move down subregion and be meant: suppose that elevator arrangement is in the building of M floor height; Multiple control lift portion number is N; Then every elevator be responsible for number of floor levels should be

because every elevator is responsible for serving a subregion; Then each subregion be responsible for number of floor levels also is

generally speaking; According to the multiple control lift equipping rules; M should be divided exactly by N, if aliquant, then the number of floor levels to each subregion service suitably increases and decreases; On move subregion and be meant that the subregion floor that each elevator is responsible for brings Forward; 1, the subregion of 2,3 layers of composition will become 2,3,4 layers, and 4,5,6 layers of subregion become 5,6,7 layers, by that analogy; Become M-1, M, 1 layer until M-2, M-1, the M subregion at top, building, be about to all floors and be regarded as the dynamic partition ring that a first floor bottom links to each other; Similar with it; Be meant each subregion floor is sent behind that the subregion of 1,2,3 layer of composition will become M, 1,2 layer for moving down subregion, 4,5,6 layers of subregion become 3,4,5 layers; By that analogy, M-2, M-1, the M subregion until the top, building becomes M-3, M-2, M-1 layer.

The total energy consumption of following peak period:

$=\underset{b=0}{\overset{N-1}{\mathrm{\Σ}}}\left\{\underset{j=q-\mathrm{bD}}{\overset{q+D-1-\mathrm{bD}}{\mathrm{\Σ}}}\right[|n\left(j\right)\×\stackrel{\‾}{m}+m_{\mathrm{car}}-m_{\mathrm{cwt}}|\×g\×h\left(j\right)]+E_c\×T\left(b\right)\}+\underset{b=0}{\overset{N-1}{\mathrm{\Σ}}}\{(m_{\mathrm{cwt}}-m_{\mathrm{car}})\×g;$

$\×h\left[\min (q-\mathrm{bD}+D+1,M)\right]\}$

The time of each purpose floor ladder number when n (i) is last peak; N (j) is the time ladder number of respectively waiting terraced floor when descending the peak; Each purpose floor was apart from the displacement of bottom when h (i) was last peak; H (j) respectively waits the displacement of terraced floor apart from bottom during for following peak, and T (a) is responsible for the elevator of this subregion during for last peak and meets and sends off total start-stop number of times that the passenger is taken place in this group in the ladder cycle Be passenger's average quality, m _CarBe unloaded car quality, m _CwtBe the counterweight quality, the heavy 40%-50% of the unloaded car of the fair ratio of counterweight, g is an acceleration of gravity, E _cFor elevator once quickens starting and slows down to stop required energy consumption and often be worth; T (b) is that the elevator of being responsible for this subregion when descending the peak is met and sent off total start-stop number of times that the passenger is taken place in this group in the ladder cycle; P is the top floor level number sign indicating number that subregion is descended on last peak most, and q is a ground floor level number sign indicating number of going up subregion when descending the peak most.

The present invention has following technique effect:

The present invention according to the system energy consumption situation, carries out dynamic partition adjustment to each subregion by means of cluster control unit, thereby the ladder of sending of the present invention's elevator operation can be to elevator especially peak load operation the time plays a role, thereby reduces the energy consumption of total system.

Description of drawings

Fig. 1 elevator group controlling scheduling synoptic diagram.

The energy-conservation dynamic partition algorithm flow chart of Fig. 2.

Fig. 3 subregion is dynamically adjusted synoptic diagram.

The last peak period of Fig. 4 system energy consumption calculation flow chart.

System energy consumption calculation flow chart in peak period under Fig. 5.

Fig. 6 algorithm simulating structural drawing.

Embodiment

In current building, it is more and more general that multiple lift control system has become.The power saving of group control system is a difficult point problem of team control Optimization Dispatching always.Partitioning algorithm is one of team control dispatching method commonly used at present, but this method does not consider how to reduce system energy consumption through effective scheduling.In addition, the elevator peak load phase is one of modal travel pattern in the group control system, because the using escalator passenger under this pattern is numerous, system often consumes energy in the peak period at most, so how effectively to handle the key point that peak period energy-saving distribution problem is a group control energy-saving group ladder.To the problems referred to above; The present invention proposes a kind ofly to send terraced method to solve the energy-saving distribution problem of team control peak period towards energy-conservation dynamic partition; Through towards energy-conservation subregion adjustment principle, constantly dynamically adjust the service floor that each subregion is responsible for, realize the energy-saving run of group control system.In practical application, only need algorithm of the present invention is embedded in the cluster control unit of control building multi-section elevator operation, can effectively reduce the power consumption of elevator group control system peak period, have good application prospects and economic worth.

The present invention is integrated as main research means with theoretical method and virtual emulation technology, to elevator group controlling peak period scheduling problem, proposes a kind of dynamic partition energy-saving scheduling method, and has carried out experimental verification through computer virtual simulation.

This energy-conservation dynamic partition method is divided into different partition areas with all floors of building; Be responsible for serving different partition areas by different elevators; In the actual schedule process; Constantly carry out dynamic optimization, the subregion floor that each elevator is responsible for is constantly adjusted, the foundation of adjustment is to make every effort to make each subregion and system's total energy consumption to minimize.

In order to estimate the system energy consumption size under each partitioned mode, a kind of each subregion energy consumption and system's total energy consumption computing method are proposed, system's total energy consumption is all subregion scheduling energy consumption sums under the current partitioned mode.

In addition, consider the characteristics of peak period scheduling, a large amount of passengers go to up different floor from bottom during last peak, and a large amount of passengers go to the building top layer from different floors during following peak, dispatch processing respectively so need to go up the peak with following peak.When energy-conservation dynamic partition was dispatched, last peak period need be by passenger's purpose floor subregion, and following peak period need be by passenger's time ladder floor subregion.Simultaneously, peak subregion and system energy consumption computing method are also inequality up and down, two kinds of energy consumption calculation methods so the present invention has derived respectively under the peak pattern up and down.

At last, by means of computer virtual simulation, institute of the present invention extracting method has been carried out simulating, verifying, the result has proved that this dispatching method can effectively reduce the energy consumption of multiple lift control system in the peak period scheduling.

The energy-conservation dynamic partition team control dispatching method that the present invention proposes has been accomplished the software realization and has been carried out emulation experiment on the elevator group controlling virtual emulation environment of exploitation.Under elevator virtual emulation environment, set following simulation parameter:

Building and elevator environmental parameter: number of floor levels: 24 layers; Story height: 4 meters of entrance hall height, 3 meters on all the other floors; Elevator arrangement: 4 elevators that have energy-conservation feedback function; Rated speed of lift: 2.5 meter per seconds; Elevator acceleration: 1 meter per second ²The elevator switch door time: 1 second; Nominal capacity: 12 people.

Select for use several kinds of following typical traffic flow patterns to carry out emulation experiment, and this algorithm and minimum latency algorithm, static partition dispatching algorithm are done comparison.

Traffic flow 1: go up the peak traffic pattern, in 10 minutes, arrive 200 people;

Traffic flow 2: following peak traffic pattern arrived 200 people in 10 minutes;

Algorithm 1: minimum latency algorithm;

Algorithm 2: static partition algorithm;

Algorithm 3: energy-conservation dynamic partition algorithm.

Each algorithm simulating result contrasts as follows:

Visible from experimental data: on multiple lift control system the scheduling on peak and following peak; The energy consumption index of the energy-conservation dynamic partition algorithm that the present invention proposes is superior to other dispatching methods all the time; The average waiting time of this algorithm of while, waiting time and crowding index and other algorithms are suitable basically.In a word, in the scheduling of peak period, this energy-conservation algorithm is not influencing under the prerequisite that the passenger takes advantage of waiting time and crowding index, has reduced the electric energy energy consumption of group elevator system to greatest extent.

Again the energy consumption and performance index of algorithm is carried out quantitative test below:

Under traffic flow 1 (going up the peak pattern), energy-conservation dynamic partition algorithm lacks power consumption 34.4% than the minimum latency algorithm, lacks power consumption 24.6% than the static partition algorithm.

Under traffic flow 2 (following peak pattern), energy-conservation dynamic partition algorithm lacks power consumption 50.0% than the minimum latency algorithm, lacks power consumption 44.5% than the static partition algorithm.

Below in conjunction with accompanying drawing the present invention is made further detailed description.

This energy-conservation dynamic partition method is divided into different partition areas with all floors of building; Be responsible for serving different partition areas by different elevators; In the actual schedule process; Subregion floor to each elevator is responsible for is continued to optimize adjustment, and the foundation of adjustment is to make every effort to make each subregion and system's total energy consumption to minimize.In order to measure the system energy consumption size under each partitioned mode, the present invention proposes a kind of each subregion energy consumption and system's total energy consumption computing method.

In addition, consider the characteristics of peak period scheduling, a large amount of passengers go to up different floor from bottom during last peak, and a large amount of passengers go to the building top layer from different floors during following peak, dispatch processing respectively so need to go up the peak with following peak.When energy-conservation dynamic partition was dispatched, last peak period need be by passenger's purpose floor subregion, and following peak period need be by passenger's time ladder floor subregion.Simultaneously, peak subregion and system energy consumption computing method are also inequality up and down, two kinds of energy consumption calculation methods so the present invention has derived respectively under the peak pattern up and down.

At last, by means of computer virtual simulation, institute of the present invention extracting method has been carried out simulating, verifying, the result has proved that this dispatching method can effectively reduce the energy consumption of multiple lift control system in the peak period scheduling.

Referring to Fig. 1,, the elevator group controlling device need be set be optimized scheduling for the multi-section elevator that is installed in the building.Cluster control unit will be according to outgoing call floor and passenger's situation, and current running status of each elevator and direction etc. are sent terraced method to be made by team control and sent the ladder decision-making, promptly send which elevator to go to serve the outgoing call passenger of different floors.

Referring to Fig. 2, according to this energy-conservation dynamic partition method, the peak period sends ladder to realize that system is with carrying out the subregion initialization earlier by following flow process.

Because the peak up and down of traffic flow is because different characteristics needs to adopt different energy-conservation dynamic partition modes to dispatch.

During last peak, a large amount of passengers go to different floors from the building bottom is up, need to disperse passenger's passenger flow, maximize each car carrying capacity by passenger's purpose floor subregion during the team control scheduling.Otherwise if to wait terraced floor subregion, all passengers of one deck time ladder will all take a certain elevator being responsible for bottom place subregion and meet and send off, and all the other multiple control lifts will be in idle condition, and this obviously is irrational.

Relative with it, during following peak, a large amount of passengers go to bottom from the different floors in building, need be by passenger's time ladder floor subregion during the team control scheduling.Otherwise if with purpose floor subregion, then all descending passengers will all take a certain elevator being responsible for bottom place subregion and meet and send off, and all the other elevators will leave unused.

When sending trapeziodal modulation to be spent at every turn; Cluster control unit will be gathered current each elevator position and traffic direction; Gather inside and outside all information of passenger (this information can be preengage acquisitions such as plate technique by zone of interest) of current car, and according to minimization system energy consumption principle to the floor subregion of each elevator service dynamic optimization that rolls.During dynamic optimization; System will calculate the system's total energy consumption under the current subregion respectively; On move and move down the system's total energy consumption under the subregion; And above three energy consumptions are compared, by the partitioned mode that energy consumption is minimum each subregion is carried out the dynamic partition adjustment, realize the energy-conservation optimization of peak period team control scheduling with this.

Referring to Fig. 3, the subregion dynamic adjustment mechanism is illustrated.Suppose that elevator arrangement is in the building of M floor height; Multiple control lift portion number is N; Then every elevator be responsible for number of floor levels should be because every elevator is responsible for serving a subregion; Then each subregion be responsible for number of floor levels also is generally speaking; According to the multiple control lift equipping rules; M should be divided exactly by N; If aliquant, can the number of floor levels of each subregion service suitably be increased and decreased.

For the purpose of explanation, suppose the group control system D=3 among Fig. 2, promptly each subregion comprises 3 floors, and every elevator is responsible for serving 3 floors.When the ladder beginning is sent in the peak period, will carry out initialization to subregion, when sending ladder afterwards each subregion carried out towards energy-conservation dynamic adjustment at every turn according to the primary partition among the figure.The inventive method will calculate successively current subregion, on move subregion, move down the elevator device total energy consumption under three kinds of partitioned modes of subregion, and carry out the adjustment of subregion according to the minimum mode of total energy consumption.Concrete subregion energy consumption and system's total energy consumption computing method will detail in the back.

Move subregion in three kinds of partitioned modes and be meant that the subregion floor that each elevator is responsible for brings Forward; In Fig. 2; 1, the subregion of 2,3 layers of composition will become 2,3,4 layers, and 4,5,6 layers of subregion become 5,6,7 layers, by that analogy; Become M-1, M, 1 layer until M-2, M-1, the M subregion at top, building, all floors are regarded as the dynamic partition ring that a first floor bottom links to each other here.Similar with it, be meant each subregion floor is sent behind for moving down subregion, in Fig. 2; 1, the subregion of 2,3 layers of composition will become M, 1,2 layer; 4,5,6 layers of subregion become 3,4,5 layers, and by that analogy, M-2, M-1, M subregion until the top, building become M-3, M-2, M-1 layer.

When method of the present invention carries out dynamically moving to subregion; Move a floor at the most at every turn; Reason is: elevator traffic stream has very strong continuity; If instantaneous subregion is moved a large amount of floors, in the current time car under the existing passenger floor subregion will and new subregion floor between have huge range difference distance, can make elevator when sending existing passenger and meeting new passenger, cross over very long distance even a plurality of subregion like this; Not only the violent actual effect that moves subregion often can not be energy-conservation, also can further consume energy.In addition; If in current each elevator the using escalator passenger seldom, when subregion was moved a plurality of floors system energy consumption is reduced, institute of the present invention extracting method also can pass through dynamic adjustment mechanism;, partitioned mode is adjusted under the optimally partitioned pattern of group control energy-saving in the ladder cycle in very short several groups.

Peak period different partition areas energy consumption and total energy consumption computing method up and down will be detailed below.

Referring to Fig. 4, the subregion energy consumption and the total energy consumption computing method of last peak period are following:

System need at first obtain the top layer number p that descends subregion most, all is responsible for which purpose floor (go up the peak period, dynamic partition is by purpose floor subregion) to confirm each subregion.

The present invention is divided into elevator energy consumption the carrying energy consumption and returns energy consumption, and calculates respectively.Wherein, the carrying energy consumption is meant that elevator goes to certain from current location and wait terraced floor and meet and send off the energy consumption that the passenger is taken place, and refers to elevator after having met and sent off the passenger and return energy consumption, returns original floor district location and awaits orders, and prepares the electric energy that pickup and delivery service next time consumes.

The carrying energy consumption is made up of operation energy consumption and start-stop energy consumption again.

$E_{u-s}\left(a\right)=\underset{j=p-D+1+\mathrm{aD}}{\overset{p+\mathrm{aD}}{\mathrm{\Σ}}}\left[\right|n\left(i\right)\×\stackrel{\‾}{m}+m_{\mathrm{car}}-m_{\mathrm{cwt}}|\×g\×h\left(i\right)]+E_c\×T\left(a\right)$

Wherein, E _U-s(a) for each subregion of last peak period meet and send off passenger's energy consumption, n (i) be the time ladder number of each purpose floor, h (i) be the displacement of each purpose floor apart from bottom, T (a) meets and sends off total start-stop number of times that passenger take place in this group in the terraced cycle for the elevator of responsible this subregion,

Be passenger's average quality, m _CarBe unloaded car quality, m _CwtBe the counterweight quality, the heavy 40%-50% of the unloaded car of the fair ratio of counterweight, g is an acceleration of gravity, E _cFor elevator once quickens starting and slows down to stop required energy consumption and often be worth.

Total carrying energy consumption of last peak period group control system can be by computes:

$E_{u-s}=\underset{a=0}{\overset{N-1}{\mathrm{\&Sigma;}}}{E}_{u-s}\left(a\right)=\underset{a=0}{\overset{N-1}{\mathrm{\&Sigma;}}}\left\{\underset{j=p-\mathrm{<figure-callout\; id="1"\; label="D\; +"\; filenames="HDA0000086056030000031.png"\; state="\{\{state\}\}">D</figure-callout>}+1+\mathrm{aD}}{\overset{p+\mathrm{aD}}{\mathrm{\&Sigma;}}}\right[|n\left(i\right)\&times;\stackrel{\&OverBar;}{m}+m_{\mathrm{car}}-m_{\mathrm{cwt}}|\&times;g\&times;h\left(i\right)]+E_c\&times;T\left(a\right)\}$

Wherein, E _U-sTotal carrying energy consumption for last peak period group elevator system.

The energy consumption of returning during last peak is meant elevator after having met and sent off the passenger, returns each floor subregion bottom from passenger's purpose floor, prepares the energy consumption that service is next time taken place.

E _u-r(a)＝(m _cwt-m _car)×g×h[max(p-D+1+aD，1)]

Wherein, E _U-r(a) be the energy consumption of returning of each elevator of last peak period.

The energy consumption of always returning of last peak period group control system can be by computes:

$E_{u-r}=\underset{a=0}{\overset{N-1}{\mathrm{\&Sigma;}}}{E}_{u-r}\left(a\right)=\underset{a=0}{\overset{N-1}{\mathrm{\&Sigma;}}}\{(m_{\mathrm{cwt}}-m_{\mathrm{car}})\&times;g\&times;h[\max (p-\mathrm{<figure-callout\; id="1"\; label="D\; +"\; filenames="HDA0000086056030000031.png"\; state="\{\{state\}\}">D</figure-callout>}+1+\mathrm{aD},1)\left]\right\}$

Wherein, E _U-rAlways return energy consumption for last peak period group elevator system.

According to above formula, the total energy consumption of last peak period group control system is total carrying energy consumption and always returns the energy consumption sum:

$E_u=E_{u-s}+E_{u-r}$

$=\underset{a=0}{\overset{N-1}{\mathrm{\&Sigma;}}}\left\{\underset{j=p-\mathrm{<figure-callout\; id="1"\; label="D\; +"\; filenames="HDA0000086056030000031.png"\; state="\{\{state\}\}">D</figure-callout>}+1+\mathrm{aD}}{\overset{p+\mathrm{aD}}{\mathrm{\&Sigma;}}}\right[|n\left(i\right)\&times;\stackrel{\&OverBar;}{m}+m_{\mathrm{car}}-m_{\mathrm{cwt}}|\&times;g\&times;h\left(i\right)]+E_c\&times;T\left(a\right)\}+\underset{a=0}{\overset{N-1}{\mathrm{\&Sigma;}}}\{(m_{\mathrm{cwt}}-m_{\mathrm{car}})\&times;g$

$\&times;h\left[\max (p-\mathrm{<figure-callout\; id="1"\; label="D\; +"\; filenames="HDA0000086056030000031.png"\; state="\{\{state\}\}">D</figure-callout>}+1+\mathrm{aD},1)\right]\}$

Referring to Fig. 5, the subregion energy consumption and the total energy consumption computing method of following peak period are following:

System need at first obtain the bottom number q that goes up subregion most, which all is responsible for waits terraced floor (following peak period, dynamic partition is by waiting terraced floor subregion) to confirm each subregion.

At first calculate the carrying energy consumption of peak period group control system down.

$E_{d-s}\left(b\right)=\underset{j=q-\mathrm{bD}}{\overset{q+D-1-\mathrm{bD}}{\mathrm{\&Sigma;}}}\left[\right|n\left(j\right)\&times;\stackrel{\&OverBar;}{m}+m_{\mathrm{car}}-m_{\mathrm{cwt}}|\&times;g\&times;h\left(j\right)]+E_c\&times;T\left(b\right)$

Wherein, E _D-s(b) for following each subregion of peak period meet and send off passenger's energy consumption, n (j) is each time ladder number of waiting terraced floor, h (j) waits the displacement of terraced floor apart from bottom for each, T (b) meets and sends off total start-stop number of times that passenger take place in this group in the terraced cycle for the elevator of responsible this subregion.

Total carrying energy consumption of following peak period group control system can be by computes:

$E_{d-s}=\underset{b=0}{\overset{N-1}{\mathrm{\&Sigma;}}}{E}_{d-s}\left(b\right)=\underset{b=0}{\overset{N-1}{\mathrm{\&Sigma;}}}\left\{\underset{j=q-\mathrm{bD}}{\overset{q+D-1-bD}{\mathrm{\&Sigma;}}}\right[|n\left(j\right)\&times;\stackrel{\&OverBar;}{m}+m_{\mathrm{car}}-m_{\mathrm{cwt}}|\&times;g\&times;h\left(j\right)]+E_c\&times;T\left(b\right)\}$

Wherein, E _D-sTotal carrying energy consumption for following peak period group elevator system.

Return energy consumption when calculating peak down again, this energy consumption is meant elevator after having met and sent off the passenger, returns each floor subregion top layer from passenger's purpose floor, prepares to serve the energy consumption that is taken place next time.

E _d-r(b)＝(m _cwt-m _car)×g×h[min(q-bD+D+1，M)]

Wherein, E _D-r(b) down each elevator of peak period return energy consumption.

The energy consumption of always returning of following peak period group control system can be by computes:

$E_{d-r}=\underset{b=0}{\overset{N-1}{\mathrm{\&Sigma;}}}{E}_{d-r}\left(b\right)=\underset{b=0}{\overset{N-1}{\mathrm{\&Sigma;}}}\{(m_{\mathrm{cwt}}-m_{\mathrm{car}})\&times;g\&times;h[\min (q+D-1-\mathrm{bD},M)\left]\right\}$

Wherein, E _D-rFollowing peak period group elevator system always return energy consumption.

According to above formula, the total energy consumption of following peak period group control system is total carrying energy consumption and always returns the energy consumption sum:

$E_d=E_{d-s}+E_{d-r}$

$=\underset{b=0}{\overset{N-1}{\mathrm{\&Sigma;}}}\left\{\underset{j=q-\mathrm{bD}}{\overset{q+D-1-\mathrm{bD}}{\mathrm{\&Sigma;}}}\right[|n\left(j\right)\&times;\stackrel{\&OverBar;}{m}+m_{\mathrm{car}}-m_{\mathrm{cwt}}|\&times;g\&times;h\left(j\right)]+E_c\&times;T\left(b\right)\}+\underset{b=0}{\overset{N-1}{\mathrm{\&Sigma;}}}\{(m_{\mathrm{cwt}}-m_{\mathrm{car}})\&times;g$

$\&times;h\left[\min (q-\mathrm{bD}+D+1,M)\right]\}$

In order to verify the validity of institute of the present invention extracting method, designed virtual emulation software based on energy-conservation dynamic partition team control scheduling, software architecture diagram is as shown in Figure 6.In emulation; At first want initialization building and elevator arrangement information, the elevator traffic stream mode, approaching face is to energy-conservation dynamic partition algorithm then; Then the virtual elevator logic module of software just can be simulated the ruuning situation of each elevator under this algorithmic dispatching in real time; After emulation finishes, exportablely send terraced destination file, scheduling index such as output system energy consumption supplies to analyze and uses simultaneously.

Claims (3)

1. team control peak period dynamic partition energy saving elevator dispatching method; It is characterized in that; Realize by means of the elevator group controlling device; Comprise the steps: that cluster control unit will gather current each elevator position and traffic direction, gather all information of passenger inside and outside the current car by zone of interest reservation plate, and according to minimization system energy consumption principle to the floor subregion of each elevator service dynamic optimization that rolls; During dynamic optimization; Cluster control unit will calculate the system's total energy consumption under the current subregion respectively; On move and move down the system's total energy consumption under the subregion; And above three energy consumptions are compared, by the partitioned mode that energy consumption is minimum each subregion is carried out the dynamic partition adjustment, realize the energy-conservation optimization of peak period team control scheduling with this.

2. the method for claim 1; It is characterized in that; On move and move down subregion and be meant: suppose that elevator arrangement is in the building of M floor height; Multiple control lift portion number is N, then every elevator be responsible for number of floor levels should be

because every elevator is responsible for serving a subregion, then each subregion be responsible for number of floor levels also is

generally speaking; According to the multiple control lift equipping rules; M should be divided exactly by N, if aliquant, can the number of floor levels of each subregion service suitably be increased and decreased; On move subregion and be meant that the subregion floor that each elevator is responsible for brings Forward; 1, the subregion of 2,3 layers of composition will become 2,3,4 layers, and 4,5,6 layers of subregion become 5,6,7 layers, by that analogy; Become M-1, M, 1 layer until M-2, M-1, the M subregion at top, building, be about to all floors and be regarded as the dynamic partition ring that a first floor bottom links to each other; Similar with it; Be meant each subregion floor is sent behind that the subregion of 1,2,3 layer of composition will become M, 1,2 layer for moving down subregion, 4,5,6 layers of subregion become 3,4,5 layers; By that analogy, M-2, M-1, the M subregion until the top, building becomes M-3, M-2, M-1 layer.

3. the method for claim 1 is characterized in that,

The time of each purpose floor ladder number when n (i) is last peak; N (j) is the time ladder number of respectively waiting terraced floor when descending the peak; Each purpose floor was apart from the displacement of bottom when h (i) was last peak; H (j) respectively waits the displacement of terraced floor apart from bottom during for following peak, and T (a) is responsible for the elevator of this subregion during for last peak and meets and sends off total start-stop number of times that the passenger is taken place in this group in the ladder cycle

Be passenger's average quality, m _CarBe unloaded car quality, m _CwtBe the counterweight quality, the heavy 40%-50% of the unloaded car of the fair ratio of counterweight, g is an acceleration of gravity, E _cFor elevator once quickens starting and slows down to stop required energy consumption and often be worth; T (b) is that the elevator of being responsible for this subregion when descending the peak is met and sent off total start-stop number of times that the passenger is taken place in this group in the ladder cycle; P is the top floor level number sign indicating number that subregion is descended on last peak most, and q is a ground floor level number sign indicating number of going up subregion when descending the peak most.

Images