DESIGN SUPPORT SYSTEM FOR THE ARRANGEMENT OF FACILITY IN BUILDINGS

Abstract

A design support system for the arrangement of facilities in buildings according to the present disclosure comprises: an input unit for inputting building information, user information, and a target value for a facility arrangement design plan, wherein the plan contains parameters relating to specifications, number, and arrangement of the equipment to be installed, as well as the arrangement of the facilities within the building; a first calculation unit configured to calculate user proportions for each type of lifting device based on the building information, the user information, and the target value entered via the information input unit;and a second computing unit configured to calculate the parameters with which the target value is achieved by applying an optimization technique to a circulation evaluation formula, the formula expressing the horizontal movement time of users walking within the building and the vertical movement time of users using the lifting devices within the building, based on the proportions for each type of lifting device.

Description

TECHNICAL AREA

[0001] THIS DISCLOSURE CONCERNS A design support system for the arrangement of facilities in buildings. STATE OF THE ART

[0002] The installation plan, such as the required number of elevators or other lifting devices to be installed in a building, is determined based on calculation results from traffic calculation formulas that calculate, for example, the 5-minute transport capacity of elevators or the average interval. For example, patent document 1 discloses an elevator installation planning support device that outputs an elevator design plan combining elevator specifications and performance to achieve the target service. This elevator installation planning support device includes an inference tool that iteratively improves and evaluates the elevator specifications based on elevator traffic demand and the input target for the elevator service until the target service is achieved. STATE OF THE ART DOCUMENTS Patent document

[0003] Patent document 1: JP H03 -288 777 A SUMMARY OF THE INVENTION Problems to be solved by the invention

[0004] The installation planning support device according to patent document 1 outputs only the section of the elevator design plan, i.e., the combination of elevator specifications and performance calculated by the inference tools. However, the movement efficiency within a building must be considered in terms of overall movement from entrance to destination and cannot be determined solely based on the elevator specifications and performance.

[0005] However, when attempting to determine a facility layout plan that includes both the installation plan for elevators and escalators—this installation plan encompasses where in the building they are to be placed, how many units are to be installed, and what specifications they should have—and the installation plan for rooms, stairs, and the like within the building, the number of possible combinations becomes enormous, making it difficult to identify the optimal identifier for the facility.

[0006] A common method for designing circulation routes within a building, shaft layout, and elevator parameters from these complex combinations is to conduct preliminary testing using simulations such as multi-agent simulation. Here, multi-agent simulation refers to a simulation in which several autonomous agents act independently according to their own rules while simultaneously interacting with each other. Multi-agent simulation allows for the creation of a virtual model of the building to be designed. By varying the speed, number, and placement of elevators and escalators, it is possible to verify bottlenecks, the adequacy of elevator speed and number, and other relevant factors.

[0007] Multi-agent simulation, however, requires a significant amount of time for both model creation and computation, and the designer must repeatedly modify the model and verify the results regarding elevator speed, placement, etc., through trial and error. Therefore, when using multi-agent simulation for preliminary design review, the workload during the design phase becomes substantial. Furthermore, multi-agent simulation does not provide an optimal solution tailored to specific objects.

[0008] The present disclosure was made to solve the above-mentioned problems and provides a design support system for the arrangement of facilities in buildings, which reduces the workload during the design of the facility arrangement within a building and can present a design plan for the facility arrangement within the building. Means to solve the problem

[0009] A design support system for the arrangement of facilities in buildings according to the present disclosure, comprising: an input unit for entering building information relating to the building, user information relating to users of the building, and a target value for a facility arrangement design plan, wherein the plan includes parameters relating to at least one of the following: specifications of lifting devices to be installed in the building, number of lifting devices to be installed, arrangement of the lifting devices to be installed, and arrangement of facilities within the building; a first computation unit configured to calculate proportions of users for each type of lifting device to be installed in the building, based on the building information, the user information, and the target value entered by the input unit;and a second computing unit configured to calculate the parameters that achieve the target value by applying an optimization technique to a circulation evaluation formula, the formula expressing the horizontal movement time of users walking inside the building and the vertical movement time of users using the lifting devices inside the building, based on the proportion for each type of lifting device. Effect of the invention

[0010] According to the design support system for the layout of facilities in buildings presented here, the horizontal movement of people walking within the building and their vertical movement are mathematically formulated as a circulation evaluation formula, and an optimization procedure is applied to this formula. This allows the optimal solution for the parameters of the facility layout plan to be easily calculated by changing the numerical parameters of the circulation evaluation formula. This reduces the amount of trial and error involved in planning the layout of facilities within the building. BRIEF DESCRIPTION OF THE DRAWINGS [ Fig. 1] Fig. Figure 1 is a block diagram showing the overall configuration of a design support system for arranging facilities in buildings according to the first embodiment of the present disclosure. [ Fig. 2] Fig. Figure 2 is a diagram showing the flow of information input and output for each part included in the design support system for the arrangement of facilities in buildings according to the first embodiment of the present disclosure. [ Fig. 3] Fig. Figure 3 is a diagram showing the processing procedure in an information input unit that is comprehensively included in the design support system for the arrangement of facilities in buildings according to the first embodiment of the present disclosure. [ Fig. 4] Fig. Figure 4 is a diagram to explain the processing by a first computing unit included in the design support system for the arrangement of facilities in buildings according to the first embodiment of the present disclosure. [ Fig. 5] Fig. Figure 5 is a diagram illustrating the relationship between the number of floors travelled and the travel time for elevators and escalators. [ Fig. 6] Fig. Figure 6 is a diagram illustrating the calculation conditions for the calculation by the first computational unit included in the design support system for the arrangement of facilities in buildings according to the first embodiment of the present disclosure. [ Fig. 7] Fig. Figure 7 is a diagram illustrating the calculation results by the first calculation unit included in the design support system for the arrangement of facilities in buildings according to the first embodiment of the present disclosure. [ Fig. 8] Fig. Figure 8 is a diagram to explain the processing by a second computing unit that is comprehensively included in the design support system for the arrangement of facilities in buildings according to the first embodiment of the present disclosure. [ Fig. 9] Fig. Figure 9 is a diagram showing an example of parameters used in the circulation evaluation formula used in the second calculation unit comprehensively included in the design support system for the arrangement of facilities in buildings according to the first embodiment of the present disclosure. [ Fig. 10] Fig. Figure 10 is a diagram to explain the calculation result of the calculation by the second calculation unit included in the design support system for the arrangement of facilities in buildings according to the first embodiment of the present disclosure. [ Fig. 11] Fig. Figure 11 is a diagram illustrating the probability of use and the travel time for each elevator and escalator on each floor of the building, which are used in the calculation by the second computational unit included in a design support system for the arrangement of facilities in buildings according to the second embodiment of the present disclosure. [ Fig. 12] Fig. Figure 12 is a diagram that explains the Nash equilibrium point, which lies below the in Fig. The assumption shown in section 11 was calculated by the second calculation unit, which is included in the design support system for the arrangement of facilities in buildings according to the second embodiment of the present disclosure, based on the assumptions in Fig. 11. DETAILED DESCRIPTION OF THE INVENTION

[0011] Embodiments of the present disclosure are described below with reference to the drawings. In each figure, identical or corresponding parts are identified by the same reference numerals, and their description is simplified or omitted. First embodiment.

[0012] Fig. Figure 1 is a block diagram showing the general configuration of a design support system for the arrangement of facilities in buildings (or an in-building facility arrangement design support system) according to this embodiment. The design support system for the arrangement of facilities in buildings (hereinafter also referred to as the "support system") 100 can output a facility arrangement design plan, comprising an optimal specification of equipment serving as vertical movement within a building, the number of equipment installations and the placement of equipment on a layout pattern, and the placement of facilities, including rooms and stairs, within the building. As shown in Fig. As shown in Figure 1, the support system 100 comprises an information input unit 110, a first processing unit 120, a second processing unit 130, and a calculation result output unit 140. The functions of the information input unit 110, the first processing unit 120, the second processing unit 130, and the calculation result output unit 140, which comprise the support system 100, are implemented by a processing circuit. The processing circuit can be implemented as dedicated hardware or as a CPU (Central Processing Unit) configured to execute a program stored in memory.

[0013] Fig. Figure 2 is a diagram illustrating the flow of information input and output for each part of the support system. Information input to Information Input Unit 110 includes building information, user information, design target values, and constraint conditions. Hereinafter, the design target values ​​and constraint conditions can be collectively referred to simply as "target values." Information input to Information Input Unit 110 can be entered by operator actions, such as those of a designer, or it can be configured to receive information calculated or acquired by a function separate from Support System 100.

[0014] Building information, user information, and target values ​​are input from information input unit 110 to the first computation unit 120. If multiple types of lifting devices, such as elevators and escalators, are installed for vertical movement within the building, the first computation unit 120 calculates the allocation of the number of users for each type of lifting device in the vertical direction of the building based on the input and outputs the proportions (or shares) of users for each type of lifting device. Here, the vertical means of movement of the building refers to means of moving from one floor to another within the building.

[0015] Building information, user information, and target values ​​are entered from information input unit 110 into the second processing unit 130. The user proportions for each type of lifting device, which are the result of assigning the number from the first processing unit 120, are also entered. The second processing unit 130 stores a circulation evaluation formula that mathematically expresses the horizontal movement of users walking within the building and the vertical movement of users using the lifting devices. The second processing unit 130 applies an optimization procedure to the circulation evaluation formula, thereby optimizing the facility layout plan within the building—that is, the specifications of the lifting devices, their number and placement, as well as the placement of rooms and staircases, etc., based on the input.

[0016] The optimization results for the specifications, number and placement of each lifting device, the placement of rooms and stairs, etc., are submitted as a calculation result in the second calculation unit 130 to the calculation result output unit 140. The calculation result output unit 140 outputs this information along with the 5-minute transport capacity, the average operating interval, and the cost of each lifting device when these optimal conditions are applied, as well as whether these values ​​meet the target values.

[0017] The functions of each unit 110-140 of the support system 100 will now be described in detail. Fig. Figure 3 is a diagram showing the processing procedure in the information input unit 110. As shown in Fig. As shown in Figure 3, the information input unit 110 receives the input of building information and user information in step S111.

[0018] The building information entered in step S111 is information relating to the building. This information can include the building's area, shape, number of floors, floor height, information about rooms assigned to tenants or facilities on each floor, and the location of the building's entrances and exits. The information about rooms assigned to tenants or facilities on each floor can be any data that allows for a rough estimate of the number of users per time period.For example, if the location information is such as "office", the number of users will be high during the morning and evening commute, and if the information is such as "restaurant", the number of users will be high during lunchtime, thus allowing an estimation and classification of changes in the number of users by time period.

[0019] The input of user information also refers to information relating to the estimated number of building users. This user information can include the estimated number of people passing through the building's entrances and exits at specific times, the estimated number of users in each room at specific times, the estimated number of users on each floor, and the estimated total number of users. Some of this user information can be calculated based on the comprehensive information about each room contained in the building information and the user information itself.

[0020] Next, in step S112, an evaluation function is configured. This means selecting the goal to be optimized (for example, maximization or minimization). The configured evaluation function can evaluate an index such as equipment costs, travel time, 5-minute transport capacity, and average interval. The evaluation function can also be a combination of several indices. For example, a configuration could be used where 70% of the weighting is assigned to costs and 30% to travel time, with the weighting percentages being freely adjustable. It should be noted that the indices for the evaluation function are not limited to those mentioned above and can also include, for example, the range or power consumption of equipment. Furthermore, the evaluation function can be configured according to various requirements.For example, if the building is a commercial establishment, such requirements may include promoting consumption by ensuring that as many people as possible pass by the shops and thus extend their dwell time, or making the number of pedestrians in the aisles as even as possible in order to avoid a concentration of people in one place.

[0021] Next, in step S113, the target area for optimization is selected. The target area can include, for example, the specifications, number, and arrangement of lifting devices such as elevators, as well as the layout of rooms. There can be one or more target areas. Lifting device specifications can include speed, cabin capacity, and the number of elevators, as well as the speed of escalators. For example, if the layout of the shafts within the building is already fixed and only the optimal elevator specifications are to be calculated, only the elevator specifications are selected as the target area. Since multiple target areas can be selected, it is possible to set several combinations of target areas to be optimized, such as elevator specifications and shaft layout, elevator specifications and room layout, or elevator specifications, shaft layout, and room layout.

[0022] In step S114, target values ​​are entered. This information pertains to the design goals and constraints. The target values ​​can include, for example, the 5-minute transport capacity of the lifting devices, the average operating interval of the lifting devices, and the cost of the lifting devices, or permissible ranges for the cost, travel time, 5-minute transport capacity, and average operating interval. For instance, if cost is selected as the objective of the evaluation function and the goal is to minimize costs, a lower limit for the 5-minute transport capacity (e.g., a certain percentage or more) or an upper limit for the average operating interval (e.g., a certain number of seconds or less) is set as a constraint to prevent the optimization result from yielding zero elevators.This makes it possible to optimize the evaluation function within the range of the defined target values.

[0023] For example, the preferred 5-minute transport capacity of elevator systems is 11 to 25% for office buildings, 3.5 to 5% for residential buildings, and 8 to 10% for hotels, and these ranges can be set as constraint conditions. Similarly, the preferred average operating interval is 30 seconds or less for office buildings, 90 seconds or less for buildings with one elevator, 60 seconds or less for buildings with two or more elevators, and 40 seconds or less for hotels. These favorable ranges for the 5-minute transport capacity and the average operating interval can also be set as constraint conditions.

[0024] Fig. Figure 4 is a diagram to explain the processing by the first processing unit. As in Fig. As shown in Figure 4, the first calculation unit 120 calculates the optimal user proportions for each type of lifting device, i.e., elevators and escalators, from the building information, user information, and destination input by the information input unit 110.

[0025] First, using Fig. 5 explains the concept of assigning users to elevators and escalators. Fig. Figure 5 is a diagram illustrating the travel time to each floor using elevators and escalators. Fig. In 5, the horizontal axis represents the distance to the target floor, and the vertical axis represents time. Also shown in Fig. 5. Diagram “a” shows the travel time when using an escalator, and diagrams “b” and “c” show the travel time when using an elevator. Here, travel time is the time required for vertical movement, i.e., the time from arrival at the equipment's entry point to arrival at the exit point.

[0026] Escalators are slower than elevators. However, as in Fig. Figure 5 shows that the slope of curve "a" for escalators is greater than the slope of curves "b" or "c" for elevators. Furthermore, escalators do not have a waiting time, so the y-intercept of curve "a" is 0 for escalators. On the other hand, elevators do have a waiting time, so graphs "b" and "c" for elevators have y-intercepts that represent the waiting time. For example, the specific value used for the elevator waiting time is the value obtained by dividing the average operating interval entered as a constraint condition into information input unit 110 by 2.

[0027] For example, since the curve "b" or "c" for elevators has a slight slope but a non-zero y-intercept, the escalator travel time is shorter when the destination is a nearby floor, and the user is therefore assigned to an escalator. However, when the destination floor is farther away, the graphs for elevators and escalators intersect at a certain distance "D," beyond which the travel time by elevator is shorter than by escalator. It is therefore assumed that users traveling beyond this distance "D" will use elevators. As shown in graphs "b" and "c," the slope changes depending on the speed of the elevators, so the distance at which the shorter travel time for elevators and escalators reverses also changes.For example, as in the case of graph "c", if the elevator speed is high, the time is shorter even if the target floor is nearby, so more users are assigned to elevators.

[0028] The first calculation unit 120 calculates the optimal user proportions for elevators and escalators according to building information, user information and target values ​​based on the relationship between the distance to each floor and the travel time, as in Fig. Figure 5 illustrates this. That is, the proportions of users for each type of lifting device are calculated based on an estimate in which users are assigned to either the elevators or the escalators for each number of floors, depending on which has the shorter travel time.

[0029] In particular, where H is the height of a floor, n is the number of floors to be traveled by the users, and Tw is the destination for elevators, the travel time Tel for elevators and the travel time Tes for escalators are each expressed by the following formulas (1) and (2). The first calculation unit 120 calculates the proportion of users assigned to the one with the shorter time, based on the calculated times Tel and Tes according to the following formulas (1) and (2). [Formula 1] Tel=Tw+H×nVel [Formula 2] Tes=H sin θ×nVes

[0030] An example of the calculation result of assigning the number of users by the first calculation unit 120 is given with reference to the Fig. 6 and Fig. 7 described. Fig. Figure 6 shows the calculation conditions, and Fig. Figure 7 shows the calculation results for the users' proportions. Fig. 7 represents the horizontal axis as the speed of the elevator (m / min), and the vertical axis represents the proportions of users for elevators (%).

[0031] Condition 1 sets a 30-story building with a target time of 20 seconds, and condition 2 sets a 5-story building with a target time of 45 seconds.

[0032] If condition 1 applies, where the building has many floors, more users will have shorter travel times if they use elevators, since elevators move faster than escalators. Therefore, in case 1, as in Fig. Figure 7 shows that the proportion of elevator users is high. On the other hand, in the case of a low building, as in Case 2, there is no (zero) waiting time for escalators, so more users have shorter travel times when using escalators. Therefore, if condition 2 applies, the calculated proportion of elevator users is lower than in condition 1.

[0033] Also, as in Fig. Figure 7 shows that the time spent in elevators at high speed is estimated to be shorter than at low speed. However, in both condition 1 and condition 2, the proportion of elevator users is higher when the elevator speed is higher. The reason the representation of the user proportion in condition 2 is truncated at 120 m / min is that elevators in low-rise buildings cannot exceed this high speed.

[0034] According to the results in Fig. For example, in a building under condition 1, it is expected that 98% of all users will use elevators if elevators with a speed Vel of 100 m / min are used. However, if elevators with a speed Vel of 100 m / min are used in a building under condition 2, it is expected that 25% of all users will use the elevators. Fig. 7 shows the results for one case, if the speed of the escalator is a certain constant, the proportions of users calculated by the first calculation unit 120 are also a value that varies depending on the speed of the escalator.

[0035] Fig. Figure 8 is a diagram showing the processing by the second computing unit 130. User information and target values ​​entered by the information input unit 110, as well as user proportions calculated by the first computing unit 120, are fed into the second computing unit 130. Based on the input information, the second computing unit 130 performs an optimization of the indices according to the defined evaluation function, such as the equipment specifications, including the speed of elevators and escalators, cabin capacity, width, etc., the number and arrangement of equipment to be installed, the layout of rooms, and the arrangement of stairs, as an optimal parameter calculation for lifting devices.

[0036] The second calculation unit 130 stores a circulation evaluation formula that mathematically combines horizontal movement by walking and vertical movement by elevators and escalators within the building into one formula.

[0037] In this circulation evaluation formula, the above formula (2) is used to calculate the vertical travel time for escalator users. For elevator users, elevator traffic calculations are used. Here, the figures for escalators and elevators are determined accordingly based on the proportions established by the first calculation unit 120.

[0038] Fig. Figure 9 is a diagram showing an example of parameters used in the traffic calculation formula of the circulation evaluation formula stored by the second calculation unit 130. Using the traffic calculation formula with the parameters in Fig. The 9 parameters shown can be used to calculate the expected total number of stops “F”, the total travel time, the door opening and closing time “Td”, the passenger boarding and alighting time “Tp”, the lost time “Tl”, the elevator travel time “RTT”, the average interval “Ti”, the 5-minute transport capacity “P”, the average waiting time “Tw”, etc., thus making it possible to mathematically formulate the vertical travel time.

[0039] Examples of calculation formulas for each value used in the traffic calculation formula are given below. The expected number of stops “fu” in the upbound direction, the expected number of stops “fd” in the downbound direction, and the expected number of stops “F” can be expressed using the following formulas, taking into account the number of service levels “n”, the number of ascending passengers “ru”, and the number of descending passengers “rd”. fu=n(1−n−1n)ru fd=n(1−n−1n)rd F=fu+fd

[0040] The average travel distance per actuation in the upward direction “Su” and the average travel distance per actuation in the downward direction “Sd” can be expressed using the following formulas, taking into account the vertical travel distance “L”, the expected number of stops in the upward direction “fu” and the expected number of stops in the downward direction “fd”. Su=Lfu Sd=Lfd

[0041] Furthermore, the upward travel time "Tru", the downward travel time "Trd", and the total travel time "Tr" can be expressed using the following formulas, utilizing the elevator's jerk time "t0", maximum acceleration "am", acceleration time "ta", acceleration distance "sa", velocity "V", and travel time "Tru". The vertical travel distance "L" and the aforementioned expected number of upward stops "fu" and downward stops "fd" can also be expressed. Here, the acceleration time "ta" [s] and the acceleration distance "Sa" are predetermined values ​​corresponding to the velocity. Tru={tr×fu=t0+(t02+4Sαm)12×fu(Su<2Sa)LV+ta×fu(Su≥2Sa) Trd={tr×fd=t0+(t02+4Sαm)12×fd(Sd<2Sa)LV+ta×fd(Sd≥2Sa) Tr=Tru+Trd

[0042] The door opening and closing time "Td" can be expressed using the following formula, taking into account the total number of expected holds "F" and the door opening and closing time "td" specified in the formula above. The door opening and closing time "td" is a predetermined value that depends on the width of the door opening and the door type (for example, a double-leaf sliding door, a double-leaf center opening, etc.). Td=td×F

[0043] The entry and exit time “Tp” of the passengers can be expressed using the following formula, taking into account the coefficient “K” according to the door opening time. Tp=r×(0.8+K×f13)

[0044] The lost time “Tl” can be expressed using the following formula based on the above-mentioned door opening and closing time “Td” and the passenger boarding and disembarking time “Tp”. Tl−0.1×(Td×Tp)

[0045] Furthermore, the travel time of the elevator “RTT” can be expressed using the following formula, utilizing the total travel time “Tr” mentioned above, the door opening and closing time “Td”, the passenger entry and exit time “Tp”, and the lost time “Tl”. RTT=Tr+Td+Tp+Tl

[0046] The average operating interval “Ti” can be expressed using the above-mentioned elevator travel time “RTT” and the number of units “N” with the following formula. Ti=RTTN

[0047] The 5-minute transport capacity “P” can be expressed using the following formula, taking into account the number of occupants “Q” and the above-mentioned average interval “Ti”. P=5×60×rTi×100Q

[0048] The average waiting time “Tw” can also be expressed by the following formula, using the average operating interval “Ti”. Tw=Ti2

[0049] On the other hand, the horizontal movement time in the circulation assessment formula is calculated based on the length of the circulation route (passage) and the speed of the people. In particular, the horizontal movement time is formulated mathematically using, for example, the following calculation methods for the movement time “T_travel” and the exit route time “T_queue”, which are described in the “Explanation of the Evacuation Safety Verification Procedure” and calculation examples and their explanation” [2] issued by the Ministry of Land, Infrastructure, Transport and Tourism. Ttravel=max(∑llv) Tqueue=∑(p×Aarea)∑(Neff×Beff)

[0050] Here, "ll" is the walking distance [m], "v" is the walking speed [m / min], and "p" is the occupant density [persons / m²]. 2 ], “Aarea” the floor area of ​​each part within the building [m 2 ], “Neff” is the actual flow coefficient [persons / min·m], and “Beff” is the actual exit width [m]. The walking speed is a predetermined value that depends on the use of the building or individual rooms, the type of individual building components (i.e., stairs, seating area, other parts, etc.), and the direction of movement. Occupant density is also a predetermined value that depends on the type of room, i.e., living room, bedroom (excluding living room), conference room, shop, office, restaurant, etc. The flow effect is a value that is determined by the floor level of each component, such as the escape route, capacity, exit width, required containment area, etc., and is predetermined.

[0051] Fig. Figure 10 is a diagram explaining the calculation results of the calculation using the circulation valuation formula of the second calculation unit 130. As in Fig. As shown in Figure 10, the circulation evaluation formula can calculate the travel time for each period and each destination according to the layout pattern to be evaluated.

[0052] The second computing unit 130 optimizes by minimizing or maximizing the evaluation function defined in the information input unit 110, using this circulation evaluation formula. There is no restriction regarding the optimization method. Examples of optimization methods used here include mathematical programming or metaheuristics (heuristic approximation methods) such as PSO (Particle Swarm Optimization). Since these optimization methods are generally known, a detailed explanation is omitted.

[0053] The calculation result output unit 140 outputs the optimization results calculated by the second calculation unit 130, such as the specifications of the lifting devices, including the speed of the lifting devices, the speed of the elevator, the cabin capacity, the number of units, the speed of the escalator, and the like, as well as the arrangement of the lifting devices, the number of installations, and the layout of the rooms and stairs. The calculation result output unit 140 also outputs the costs, travel time, 5-minute transport capacity, average operating interval, lifting device range, power consumption, cycle time, and throughput frequency, etc., under these optimized parameters. This output result can be used as a reference for designing the layout of the facilities within the building.

[0054] As described above, according to support system 100 of this embodiment, a circulation evaluation formula is used that mathematically formulates all movements within the building, consisting of horizontal movements by walking and vertical movements by elevators and escalators. By applying an optimization procedure to this circulation evaluation formula, the numerical parameters of the circulation evaluation formula can be automatically modified. This makes it possible to obtain optimization results for the specifications of the lifting devices, the number of lifting devices to be installed, the placement of the lifting devices, and the placement of rooms and staircases, etc., without the designer having to perform trial-and-error work. The objective of the optimization evaluation can also be set by the evaluation function.Therefore, it is possible to optimize the circulation route according to the needs or preferences of customers and designers, without limiting oneself to efficiency (minimizing travel time), for example by minimizing the footprint and power consumption of elevator equipment, extending the circulation time within the building, or avoiding the concentration of people in one location. Thus, with the Support System 100, an optimal, purpose-built solution can be achieved.

[0055] In support system 100, the first computing unit 120 calculates the user allocation before the second computing unit 130 performs the optimization calculation. This reduces the load on the second computing unit 130 during optimization and shortens the calculation time. Second embodiment

[0056] The support system of the second embodiment has the same configuration as the support system 100 of the first embodiment, except that the first computing unit uses Nash equilibrium to determine the user proportions. Specifically, the first computing unit 120 of the first embodiment is configured to calculate the user proportions for each type of lifting device based on a comparison of the travel times of elevators and escalators for each number of floors (distance), whereas the first computing unit of the second embodiment calculates the user proportions for each type of lifting device using the Nash equilibrium method.Here, the Nash equilibrium is a fundamental concept of non-cooperative games in game theory, formulated by John Nash, and refers to a state in which all participants in the game choose the optimal strategy to maximize their own payoff under certain rules.

[0057] For example, a case of calculating the proportions of users for each type of lifting device, optimizing the time for the occupants of each floor in a three-story building with elevators and escalators using the Nash equilibrium. Fig. Figure 11 shows the probability of use and the time for elevators and escalators on each floor of the building. The numbers in parentheses are... Fig. The first half of equation 11 represents the travel time (s) for residents of the 2nd floor, and the second half represents the travel time (s) for residents of the 3rd floor. The probability that residents of the 2nd floor use elevators is given by X, and the probability that residents of the 3rd floor use elevators is given by y.

[0058] Fig. Figure 12 is a diagram to explain the Nash equilibrium point in the mixed strategy for the case of the assumptions in Fig. 11. The Nash equilibrium point shows that the travel time for the entire building is shortest when one-third of the residents on the 2nd floor and one-third of the residents on the 3rd floor use elevators and two-thirds use escalators.

[0059] The first processing unit calculates the proportions of elevator and escalator users according to the ratio at the Nash equilibrium point, where the expected return is highest. The calculated user proportions are used in the second processing unit (130), and, similar to the first embodiment, the time considered from the perspective of the entire building can be optimized.

[0060] In the above embodiments, where the number, quantity, amount, range or the like of each element is mentioned, the present invention is not limited to the mentioned number unless otherwise specified or unless the present invention is fundamentally uniquely defined by the number. REFERENCE MARK LIST

[0061] 100 Support system, 110 Information input unit, 120 First calculation unit, 130 Second calculation unit, 140 Calculation result output unit QUOTES INCLUDED IN THE DESCRIPTION

[0000] This list of documents cited by the applicant was automatically generated and is included solely for the reader's convenience. The list is not part of the German patent or utility model application. The DPMA accepts no liability for any errors or omissions. Cited patent literature

[0000] JP H03 -288 777 A

[0003]

Claims

[1] Design support system for the arrangement of facilities in buildings, comprising: an input unit for inputting building information relating to the building, user information relating to the users of the building, and a target value for a facility layout design plan, wherein the plan includes parameters relating to at least one of the following: specifications of the equipment to be installed in the building, number of equipment to be installed, arrangement of the equipment to be installed in the building, and arrangement of the facilities within the building; a first calculation unit configured to calculate user proportions for each type of lifting device to be installed in the building, based on building information, user information, and the target value entered by the input unit; and a second computing unit configured to calculate the parameters with which the target value is achieved by applying an optimization technique to a circulation evaluation formula, where the formula expresses the horizontal movement time of users walking within the building and the vertical movement time of users using lifting devices within the building, based on the proportions for each type of lifting device. [2] Design support system for the arrangement of facilities in buildings according to claim 1, wherein the lifting device includes at least one elevator and at least one escalator, and The first calculation unit is configured to calculate the proportions based on a comparison between the travel time when using the elevator and the travel time when using the escalator. [3] Design support system for the arrangement of facilities in buildings according to claim 1, wherein the first computation unit is configured to calculate the proportions using the Nash equilibrium method.

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