CN102339017B - 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

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

Technical field

The present invention relates to the elevator field, relate in particular to a kind of cluster control dispatching method of energy-saving elevators in dynamic subareas during rush time.

Background technology

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

Multiple lift control system refers to install the multi-section elevator in building, and with this group elevator be connected with central cluster control unit, control each single section 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 group control algorithm.The subregion dispatching method is one of Group Control Schedule 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 respectively the different regional floor of service, thereby realize the dispersion scheduling of boarding passenger flow, to take full advantage of the carrying capacity of each elevator, reach the Group Control Schedule optimization.Static partition or dynamic partition dispatching method are two kinds of more common partition methods.Static partition assigns different elevators to be responsible for picking 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 dynamic Real-Time Scheduling optimization.But above two methods do not consider to save 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 lower peak.Upper 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 lower peak mainly refers to a large amount of passengers from the descending bottom of going to of the different floors of building, for example, and next passenger flow at dusk etc.Very serious energy dissipation will be caused because the boarding large contingent is improper such as Elevator Group Control Dispatching in the peak up and down.

Summary of the invention

For overcoming the deficiencies in the 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, cluster control dispatching method of energy-saving elevators in dynamic subareas during rush time is realized by means of cluster control unit, and is comprised the following steps:

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 respectively the system's total energy consumption under the current subregion, on move and move down system's total energy consumption under the subregion, and above three energy consumptions are compared, partitioned mode by the energy consumption minimum is carried out the dynamic partition adjustment to each subregion, realizes the energy-conservation optimization of peak period Group Control Schedule with this.

On move and move down subregion and refer to: suppose elevator arrangement in the building of M floor height, multiple control lift section number is N, and then the number of floor levels be responsible for of every elevator should be

Because every elevator is responsible for serving a subregion, then the responsible number of floor levels of each subregion 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 of each differentiated services is is suitably increased and decreased, on move subregion and refer to the subregion floor that each elevator is responsible for is brought 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, until the M-2 at top, building, M-1, M subregion become M-1, M, 1 layer, be about to all floors and be considered as the dynamic partition ring that a first floor bottom links to each other; Similar with it, refer to each subregion floor is sent behind for moving down subregion, the subregion of 1,2,3 layer of composition will become M, 1,2 layer, and 4,5,6 layers of subregion become 3,4,5 layers, by that analogy, until the M-2 at top, building, M-1, M subregion become M-3, M-2, M-1 layer.

The total energy consumption of lower 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 upper peak, n (j) respectively waits the time ladder number of terraced floor when being lower peak, each purpose floor was apart from the displacement of bottom when h (i) was upper peak, h (j) respectively waits terraced floor apart from the displacement of bottom when being lower peak, T (a) is responsible for the elevator of this subregion and picks total start-stop number of times that the passenger occurs in this group in the ladder cycle when being upper peak

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 acceleration of gravity, E _cFor elevator once accelerates starting and slows down to stop required energy consumption and often be worth, T (b) is responsible for the elevator of this subregion and picks total start-stop number of times that the passenger occurs in this group in the ladder cycle when being lower peak, p is the top floor level number code that subregion is descended on upper peak most, and q goes up the ground floor level number code of subregion most when being lower peak.

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 whole system.

Description of drawings

Fig. 1 Elevator Group Control Dispatching schematic diagram.

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

Fig. 3 subregion is dynamically adjusted schematic diagram.

System energy consumption calculation flow chart in peak period on Fig. 4.

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 difficulties of team control Optimized Operation always.Partitioning algorithm is one of Group Control Schedule method commonly used at present, but the method does not consider how to reduce system energy consumption by effective scheduling.In addition, the elevator peak load phase is one of modal travel pattern in the group control system, because the boarding passenger under this pattern is numerous, system often consumes energy in the peak period at most, therefore how effectively to process the key point that peak period energy-saving distribution problem is group control energy-saving group ladder.For 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, by adjusting principle towards energy-conservation subregion, constantly dynamically adjust the service floor that each subregion is responsible for, realize the energy-saving run of group control system.In actual applications, 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 prospect and economic worth.

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

The dynamic partition method of this section energy is divided into different subregions with all floors of building, be responsible for serving different subregions 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, 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 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 energy consumption of scheduling 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 upper peak, and a large amount of passengers go to the building top layer from different floors during lower peak, therefore need upper peak and the scheduling of lower peak are processed respectively.When energy-conservation dynamic partition scheduling, upper peak period need be by passenger's purpose floor subregion, and lower peak period need be by passenger's time ladder floor subregion.Simultaneously, peak subregion and system energy consumption computing method are not identical yet up and down, two kinds of Calculation Method of Energy Consumptions therefore 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 multiple lift control system in the energy consumption of peak period scheduling.

The energy-conservation dynamic partition Group Control Schedule method that the present invention proposes has been finished the software realization and has been carried out emulation experiment at 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 with the energy-saving feedback function; Rated speed of lift: 2.5 meter per seconds; Elevator acceleration: 1 meter per second ²The elevator switch door time: 1 second; Elevator rated capacity: 12 people.

Select following several typical traffic flow pattern to carry out emulation experiment, and this algorithm and minimum latency algorithm, static partition dispatching algorithm are compared.

Traffic flow 1: upper peak traffic pattern arrived 200 people in 10 minutes;

Traffic flow 2: lower 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:

From experimental data as seen: on multiple lift control system the scheduling on peak and lower peak, the energy consumption index of the energy-conservation dynamic partition algorithm that the present invention proposes is better than other dispatching methods all the time, the average waiting time of this algorithm of while, waiting time and crowding index and other algorithms are substantially suitable.In a word, in the scheduling of peak period, this energy-conservation algorithm is taken advantage of under the prerequisite of waiting time and crowding index not affecting the passenger, has reduced to greatest extent the electric energy energy consumption of group elevator system.

The below carries out quantitative test to the energy consumption and performance index of algorithm again:

Under traffic flow 1 (upper 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 (lower 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.

The invention will be further described below in conjunction with accompanying drawing.

The dynamic partition method of this section energy is divided into different subregions with all floors of building, be responsible for serving different subregions by different elevators, in the actual schedule process, the subregion floor that 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 upper peak, and a large amount of passengers go to the building top layer from different floors during lower peak, therefore need upper peak and the scheduling of lower peak are processed respectively.When energy-conservation dynamic partition scheduling, upper peak period need be by passenger's purpose floor subregion, and lower peak period need be by passenger's time ladder floor subregion.Simultaneously, peak subregion and system energy consumption computing method are not identical yet up and down, two kinds of Calculation Method of Energy Consumptions therefore 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 multiple lift control system in the energy consumption of peak period scheduling.

Referring to Fig. 1, for the multi-section elevator that is installed in the building, the elevator group controlling device need to be set be optimized scheduling.Cluster control unit will be according to outgoing call floor and passenger's situation, and the 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, namely send which elevator to go to serve the outgoing call passenger of different floors.

Referring to Fig. 2, according to the dynamic partition method of this section energy, the peak period sends ladder to realize by following flow process, and system will carry out first the subregion initialization.

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

During upper peak, a large amount of passengers go to different floors from the building bottom is up, need by passenger's purpose floor subregion, to disperse passenger's passenger flow, maximize each car carrying capacity during Group Control Schedule.If otherwise 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 pick, and all the other multiple control lifts will be in idle condition, this obviously is irrational.

Relative with it, during lower 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 Group Control Schedule.If otherwise with purpose floor subregion, then all descending passengers will all take a certain elevator being responsible for bottom place subregion and pick, and all the other elevators will leave unused.

When sending trapeziodal modulation to be spent at every turn, cluster control unit will gather current each elevator position and traffic direction, gather inside and outside all information of passenger (this information can be preengage by zone of interest the acquisitions such as plate technique) 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, the system's total energy consumption under the current subregion will calculate respectively in system, on move and move down system's total energy consumption under the subregion, and above three energy consumptions are compared, partitioned mode by the energy consumption minimum is carried out the dynamic partition adjustment to each subregion, realizes the energy-conservation optimization of peak period Group Control Schedule with this.

Referring to Fig. 3, the subregion dynamic adjustment mechanism is illustrated.Suppose elevator arrangement in the building of M floor height, multiple control lift section number is N, and then every responsible number of floor levels of elevator should be

Because every elevator is responsible for serving a subregion, then the responsible number of floor levels of each subregion 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 differentiated services suitably be increased and decreased.

For convenience of explanation, suppose the group control system D=3 among Fig. 2, namely each subregion comprises 3 floors, and every elevator is responsible for serving 3 floors.When peak period group ladder begins, will carry out initialization to subregion according to the primary partition among the figure, when sending ladder afterwards each subregion be carried out towards energy-conservation dynamic adjustment at every turn.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 mode of total energy consumption minimum.Concrete subregion energy consumption and system's total energy consumption computing method will describe in detail in the back.

Moving subregion in three kinds of partitioned modes refers to the subregion floor that each elevator is responsible for is brought Forward, in Fig. 2,1, the subregion of 2,3 layers of composition will become 2,3,4 layers, 4,5,6 layers of subregion become 5,6,7 layers, by that analogy, until the M-2 at top, building, M-1, M subregion become M-1, M, 1 layer, all floors are considered as the dynamic partition ring that a first floor bottom links to each other here.Similar with it, refer to 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, by that analogy, until the M-2 at top, building, M-1, M subregion become M-3, M-2, M-1 layer.

When method of the present invention is carried out dynamic mobile to subregion, move at the most a floor at every turn, reason is: Elevator Transportation Flow 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 like this elevator when sending existing passenger and meeting new passenger, cross over very long distance even a plurality of subregion, not only the actual effect of violent mobile subregion often can not be energy-conservation, also can further consume energy.In addition, if in current each elevator the boarding 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.

The below will describe up and down different subregion energy consumption and the total energy consumption computing method in peak period in detail.

Referring to Fig. 4, subregion energy consumption and the total energy consumption computing method of upper peak period are as follows:

System need at first obtain the top layer number p that descends subregion most, all is responsible for which purpose floor (upper peak period, dynamic partition is by purpose floor subregion) to determine 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 refers to that elevator goes to certain from current location and wait terraced floor and pick the energy consumption that the passenger occurs, and refers to elevator after having picked the passenger and return energy consumption, returns original floor district location and awaits orders, and prepares the electric energy that next time pickup and delivery service consumes.

The carrying energy consumption is again by operation energy consumption and start-stop structure of energy consumption.

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

Wherein, E _U-s(a) pick passenger's energy consumption for each subregion of upper peak period, n (i) is the time ladder number of each purpose floor, h (i) be each purpose floor apart from the displacement of bottom, T (a) picks total start-stop number of times that passenger occur in this group in the ladder cycle for the elevator of being responsible for 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 acceleration of gravity, E _cFor elevator once accelerates starting and slows down to stop required energy consumption and often be worth.

Total carrying energy consumption of upper peak period group control system can be calculated by following formula:

$E_{u-s}=\underset{a=0}{\overset{N-1}{\mathrm{\&Sigma;}}}{E}_{u-s}\left(a\right)=\underset{a=0}{\overset{N-1}{\mathrm{\&Sigma;}}}\left\{\underset{j=p-\mathrm{<figure-callout\; id="1"\; label="D\; +"\; filenames="HDA0000086056030000011.png"\; state="\{\{state\}\}">D</figure-callout>}+1+\mathrm{aD}}{\overset{p+\mathrm{aD}}{\mathrm{\&Sigma;}}}\right[|n\left(i\right)\&times;\stackrel{\&OverBar;}{m}+m_{\mathrm{car}}-m_{\mathrm{cwt}}|\&times;g\&times;h\left(i\right)]+E_c\&times;T\left(a\right)\}$

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

The energy consumption of returning during upper peak refers to elevator after having picked the passenger, returns each floor subregion bottom from passenger's purpose floor, prepares the energy consumption that next time service occurs.

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 upper peak period.

Always the returning energy consumption and can be calculated by following formula of upper peak period group control system:

$E_{u-r}=\underset{a=0}{\overset{N-1}{\mathrm{\&Sigma;}}}{E}_{u-r}\left(a\right)=\underset{a=0}{\overset{N-1}{\mathrm{\&Sigma;}}}\{(m_{\mathrm{cwt}}-m_{\mathrm{car}})\&times;g\&times;h[\max (p-\mathrm{<figure-callout\; id="1"\; label="D\; +"\; filenames="HDA0000086056030000011.png"\; state="\{\{state\}\}">D</figure-callout>}+1+\mathrm{aD},1)\left]\right\}$

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

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

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

$=\underset{a=0}{\overset{N-1}{\mathrm{\&Sigma;}}}\left\{\underset{j=p-\mathrm{<figure-callout\; id="1"\; label="D\; +"\; filenames="HDA0000086056030000011.png"\; state="\{\{state\}\}">D</figure-callout>}+1+\mathrm{aD}}{\overset{p+\mathrm{aD}}{\mathrm{\&Sigma;}}}\right[|n\left(i\right)\&times;\stackrel{\&OverBar;}{m}+m_{\mathrm{car}}-m_{\mathrm{cwt}}|\&times;g\&times;h\left(i\right)]+E_c\&times;T\left(a\right)\}+\underset{a=0}{\overset{N-1}{\mathrm{\&Sigma;}}}\{(m_{\mathrm{cwt}}-m_{\mathrm{car}})\&times;g$

$\&times;h\left[\max (p-\mathrm{<figure-callout\; id="1"\; label="D\; +"\; filenames="HDA0000086056030000011.png"\; state="\{\{state\}\}">D</figure-callout>}+1+\mathrm{aD},1)\right]\}$

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

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

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

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

Wherein, E _D-s(b) pick passenger's energy consumption for each subregion of lower peak period, n (j) waits the time ladder number of terraced floor for each, h (j) waits terraced floor apart from the displacement of bottom for each, and T (b) picks total start-stop number of times that passenger occur in this group in the ladder cycle for the elevator of being responsible for this subregion.

Total carrying energy consumption of lower peak period group control system can be calculated by following formula:

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

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

Return energy consumption when calculating lower peak, this energy consumption refers to elevator after having picked the passenger again, returns each floor subregion top layer from passenger's purpose floor, prepares the energy consumption that next time service occurs.

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

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

Always the returning energy consumption and can be calculated by following formula of lower peak period group control system:

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

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

According to above formula, the total energy consumption of lower 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 the virtual emulation software based on energy-conservation dynamic partition Group Control Schedule, 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, then approaching face is to energy-conservation dynamic partition algorithm, 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, the scheduling index such as output system energy consumption is for analysis simultaneously.

Claims (1)

1. cluster control dispatching method of energy-saving elevators in dynamic subareas during rush time, 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 respectively the system's total energy consumption under the current subregion, on move and move down system's total energy consumption under the subregion, and above three energy consumptions are compared, partitioned mode by the energy consumption minimum is carried out the dynamic partition adjustment to each subregion, realizes the energy-conservation optimization of peak period Group Control Schedule with this;

On move and move down subregion and refer to: suppose elevator arrangement in the building of M floor height, multiple control lift section number is N, and then the number of floor levels be responsible for of every elevator should be

Because every elevator is responsible for serving a subregion, then the responsible number of floor levels of each subregion 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 differentiated services suitably be increased and decreased, on move subregion and refer to the subregion floor that each elevator is responsible for is brought 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, until the M-2 at top, building, M-1, M subregion become M-1, M, 1 layer, be about to all floors and be considered as the dynamic partition ring that a first floor bottom links to each other; Similar with it, refer to each subregion floor is sent behind for moving down subregion, the subregion of 1,2,3 layer of composition will become M, 1,2 layer, and 4,5,6 layers of subregion become 3,4,5 layers, by that analogy, until the M-2 at top, building, M-1, M subregion become M-3, M-2, M-1 layer;

The total energy consumption of upper peak period:

The total energy consumption of lower peak period

The time of each purpose floor ladder number when n (i) is upper peak, n (j) respectively waits the time ladder number of terraced floor when being lower peak, each purpose floor was apart from the displacement of bottom when h (i) was upper peak, h (j) respectively waits terraced floor apart from the displacement of bottom when being lower peak, T (a) is responsible for the elevator of this subregion and picks total start-stop number of times that the passenger occurs in this group in the ladder cycle when being upper peak

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 acceleration of gravity, E _cFor elevator once accelerates starting and slows down to stop required energy consumption and often be worth, T (b) is responsible for the elevator of this subregion and picks total start-stop number of times that the passenger occurs in this group in the ladder cycle when being lower peak, p is the top floor level number code that subregion is descended on upper peak most, and q goes up the ground floor level number code of subregion most when being lower peak;

Wherein: max represents to get maximum value, h[max (p-D+1+aD, 1)] in the expression during peak, p-D+1+aD and 1 the two get maximum value gained floor, apart from the displacement of bottom;

Min represents minimalization, h[min (q-bD+D+1, M)] when representing lower peak, the two minimalization gained floor of q-bD+D+1 and M is apart from the displacement of bottom;

Numbering of elevator when a represents the peak, value are 0,1,2 to N-1, represent altogether N section elevator, because every elevator all is responsible for a subregion, so the energy consumption summation of each elevator of calculating in the formula is calculated the total energy consumption of all subregions exactly;

Numbering of elevator when b represents lower peak, value are 0,1,2 to N-1, represent altogether N section elevator.

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