JP4228862B2 - Facility operation planning system and facility operation system - Google Patents

Description

  The present invention relates to a facility operation planning system, a method, a program, and a facility operation system that operates facilities in a building based on the planned operation plan.

  When planning an operation plan for building equipment or actually carrying out control, knowing the flow rate of people in the common area and the number of people in the room and the room occupancy rate is useful for energy saving and optimizing output. It is known that various controls can be implemented. As a method for grasping the human flow rate and the number of people in the room, a human detection sensor, a human flow measurement camera, or the like is used.

  On the other hand, there is an idea of performing lighting / air conditioning control using elevator operation information. The contents include the operation of lighting and air conditioning in the car and elevator hall according to the operation of the car, as well as destination floors and destinations designated by the occupant as disclosed in JP-A-6-345339 and JP-A-8-151175. The lighting and air conditioning of the room is operated in advance.

JP-A-6-345339 JP-A-8-151175

  Development of a method for grasping the human flow rate and the number of people in the room without installing new measuring devices such as human detection sensors and human flow rate measurement cameras is desired in terms of cost reduction such as facility costs and construction costs.

  The above elevator operation information usage control uses real-time operation information, but lighting does not light until the elevator moves, and air conditioning is not in time when necessary due to delay in effect. Only lighting and air conditioning in the car and elevator hall There are issues such as only controlling

  An object of the present invention is to effectively control equipment such as air conditioning and lighting in a target facility.

  One feature of the present invention is that an elevator operation information acquisition unit that acquires and collects operation information of an elevator such as an elevator of a target building, a human flow rate calculation unit that calculates a human flow rate from the elevator operation information, and a degree of the human flow rate. It consists of a human flow rate evaluation means calculated as an evaluation value and a facility operation plan means for determining a facility operation schedule from the human flow rate evaluation value, and is to make a facility operation plan.

  Another feature of the present invention is that it has a occupancy number calculating means for calculating the occupancy number or occupancy rate in the room from the flow rate of the person, and the facility operation planning means calculates the occupancy number / occupancy ratio. It is to make a facility operation plan as an input.

  Furthermore, another feature of the present invention is that an elevator operation information database for accumulating elevator operation information or human flow rate evaluation values or the number of people in the room / occupancy rate, and a similar building or target floor of the target building from the elevator operation information database. Elevator operation information on the similar floor, human flow rate evaluation value, or the number of people in the room and the room occupancy rate are searched, and the human flow rate calculation unit retrieves the elevator operation information searched by the elevator operation information search unit. The facility operation plan is to be performed according to whether the facility operation plan means inputs the human flow rate evaluation value or the occupancy / occupancy rate searched by the elevator operation information search means.

  Furthermore, another feature of the present invention is that the equipment control means implements equipment control based on the equipment operation schedule.

  As described above, in the present invention, the flow rate of people, the number of people in the room, and the occupancy rate are patterned according to the elevator operation information according to the day of the week and the time zone, etc. And, by executing the control schedule according to it, the problem of the method of using the real-time elevator operation information directly for control without analysis is solved. In addition, for buildings where elevator operation information cannot be obtained, control of energy conservation and output optimization is implemented in the same way as for buildings where elevator operation information can be obtained by diverting elevator operation information and its analysis results for one floor. Make it possible.

  According to the present invention, it is possible to effectively control equipment such as air conditioning and lighting in the target facility.

  Embodiments will be described below using an example of a system to which the present invention is applied.

  FIG. 1 shows the configuration of an example system. In the building 190, a BEMS (building energy management system) center device 101 and a BA (building automation) server 102 for managing building energy are connected to a BA communication path 105. The BEMS center device manages energy consumption and transmits the information in the building. The BA server controls equipment in the building, collects the measured energy consumption, and transmits it to the outside of the building through the BEMS center device or the Internet. The outlet appliance 110a, the lighting equipment 111a, the air conditioning equipment 112a, the disaster prevention equipment 113a, the security equipment 114a, the elevator equipment 115a, and the environment measuring device 116a are connected to the BA communication path 105 via the field controllers 110b to 116b, respectively. There are a plurality of types of equipment devices 110a to 116a. When a control command is transmitted from the BEMS center apparatus 101 or the BA server 102 to the field controllers 110b to 116b through the BA communication path 105, the facility devices 110a to 116a operate accordingly. Further, the operation information of each equipment 110a to 116a and the measured values of the internal sensors are transmitted from the field controllers 110b to 116b to the BEMS center apparatus 101 or the BA server 102 through the BA communication path 105. The energy consumption of each equipment device 110a to 116a is measured by the energy consumption measuring devices 110c to 115c for each equipment device or each floor, or in the case of power, for each feeder, and is measured by the BEMS center apparatus 101 or BA through the field controller 118. Sent to the server 102.

  The BA server 102 is connected to the intranet 120, and the intranet 120 is connected to the Internet 140 via the gateway 130. The remote control server 150 is also connected to the Internet 140 and can communicate with the BA server 102, and can obtain operation information about equipment in the building and send a control command.

  On the other hand, the elevator facility 115 a is provided with an elevator monitoring device 170, and the elevator monitoring device 170 is connected to a public telephone line 145 through a private branch exchange facility 135. An elevator monitoring server 155 is connected to the public telephone line 145. The elevator monitoring device 170 monitors the operating state of the elevator equipment 115a, and transmits the start / stop of the elevator, door opening / closing, generation of a call signal, occurrence of an abnormality, etc. to the elevator monitoring server 155 every moment. It is assumed that the car has a weight scale and can measure the load in the car.

  The remote control server 150 and the elevator monitoring server 155 are connected by a dedicated network.

  FIG. 2 shows the control procedure of this system. This is a flow until the remote control server 150 creates an operation schedule of facility equipment in the building and shifts to control.

  In step 210, the elevator monitoring server 155 acquires elevator operation information from the elevator monitoring device 170. This is repeated until the elevator monitoring server 155 makes a facility operation plan for the next day. For example, if the operation plan creation time is 6 am, if it is determined in step 212 that 6 am has passed, the process returns to step 214, and if not, the process returns to step 210.

  Of the elevator operation information, the car operation data can be structured as shown in FIG. 3, for example. The data is a continuous binary numerical sequence, and the meaning of the numerical value is determined for each position from the beginning and the data length (the numerical value in parentheses). It is assumed that the car operation data is generated when the “car state” or “door state” changes. When the car arrives (stops) at the “destination floor”, the value of the “destination floor” is substituted into the “current floor”, and the next destination floor enters the “destination floor”. When there is no destination floor, the “destination floor” is set to 0. In addition, when there is a change in load from when the door is opened to when it is closed, and there is a time when the load becomes lighter than just before the door is opened, data with the minimum load between them as `` load '' is generated when the door is closed Place in front of the data to be processed. In response to the above, FIG. 4 shows an example of how the car operation data changes depending on the state of the elevator.

  Steps 214 to 220 are executed between 6:00 am and 7:00 am, and an operation schedule of equipment is created from 8:00 am on that day to 8:00 am on the next day. Further, the elevator operation information is separated by date from 5 am to 5 am the next day.

  FIG. 5 is a diagram for explaining the elevator operation information analysis in step 214. The remote control server 150 includes calendar data 520 that describes the type of operation day for each year and date, and operation plan creation policy data 530 that describes how to create an operation plan for each year, month, month, and day for each control building or building application. luggage. When you have data for each building use, prepare a database that describes the building use to be controlled. The elevator monitoring server 155 has an elevator operation information database 510. Here, the elevator operation information is only the data of the control target building.

  The remote control server 150 extracts data used for facility operation schedule creation from the elevator operation information database 510 in the elevator monitoring server 155 based on the operation plan creation policy data 530. When creating an operation schedule on August 27, 2003, 1 = SQL (Structured Query Language) that extracts data for the past three days on weekdays is selected as the operation plan creation policy. ) · 25 (Monday) · 26 (Tue) elevator operation information 550 is extracted. Here, the classification of the working day type such as weekdays or holidays is based on the calendar data 520.

  In addition, if the operation plan creation policy is 2, SQL for extracting data for the past three days of holidays is selected. If the operation plan creation policy is 3, a predetermined operation schedule corresponding to PATTERN-1 is applied to the control target equipment, and no more processing is performed to create an operation schedule from the human flow analysis result.

  Next, the remote control server 150 calculates the number of passengers using a built-in calculation processing device. In most cases, people get off the elevator, and then the next person gets on. For this reason, if the minimum load between door opening and closing is measured, the approximate number of passengers will be found. The calculation formula is as follows. The boarding / alighting time is unified when the door is closed or when the door is opened.

(Total weight of the person who got off) = (Minimum load between door opening and closing)-(Load just before door opening)
(Total weight of the person on board) = (Load immediately after closing the door)-(Minimum load between opening and closing the door)
(Number of people who got off) = (Total weight of people who got off) / (Standard weight)
(Number of people on board) = (Total weight of people on board) / (Standard weight)
The standard body weight [kg] may be a published statistical value. When there is a difference between adults and children, depending on the building use, a standard weight for each building or building use may be prepared.

  Next, the remote control server 150 performs a statistical analysis on the number of passengers. First, total the number of people getting on and off at each floor and time zone. For example, the number of passengers and the number of people getting off are counted every hour. Then find the mean and standard deviation as statistics. Furthermore, the number of passengers on each floor and each time zone is (average) + (coefficient) x (standard deviation). The reason why the standard deviation is taken into consideration is that when there are variations in the number of people getting on and off, the safety side, that is, an extra estimate is made. The calculated number of passengers is stored in a temporary storage area in a form that can be searched from the floor and time zone.

  In step 216, estimation of the flow of people in a common area such as a corridor on each floor is performed. The simplest method is to assume that the flow rate of people in the common area is equal to the number of passengers obtained in step 214. However, here is a more detailed method as an example.

FIG. 6 is a plan view of one floor of the control target building, and explains human flow estimation on this floor. In addition to the elevator 610, rooms 601 to 605, 620, and 625 exist on the floor. Moreover, the corridor which is a common part is divided into eight areas 650a to 650h. The remote control server has human flow allocation data 690 regarding the common area. If the number of people getting on and off in this time zone determined in step 214 is allocated to the areas 650a to 650h in proportion to the numerical value of the human flow allocation data 690, the traffic volume of people in each time zone of each area can be calculated. it can. However, -1 of the area 650a means "all", and the flow rate of people at 650a is equal to the number of passengers getting on and off the elevator, and this -1 is not included in the proportional calculation of allocation.

  The numerical value of the human flow rate allocation data may be prepared for each time zone. Moreover, you may make it proportional to the frequency | count of reaction and reaction continuation time of the human detection apparatus of each area. In this case, the human detection apparatus is connected to the BA server 102, and the remote control server 150 acquires information related to the reaction via the BA server 102, and reflects this in the human flow rate allocation data.

  The calculated human flow is stored in a temporary storage area so that it can be searched from the area and time zone.

  In step 218, an operation plan is established for each of the facilities to be controlled. FIG. 7 is an explanation thereof. The remote control server 150 first associates each control target facility with the human flow rate of each area obtained in step 216. The remote control server 150 has a database related to the equipment to be controlled, and the correspondence between the equipment and the area is as shown in Table 710. Since this area has a one-to-one correspondence with the area of the human flow rate allocation data 690, it is possible to retrieve the human flow rate from the temporary storage area.

  Next, the remote control server 150 determines an operation schedule for each facility. Here, an FCU (fan coil unit) that air-conditions the common part passage is taken as an example. The control content is relaxed when there are few people, that is, the air conditioning setting is relaxed, that is, the summer is higher and the winter is lower, so as to save energy while avoiding the impact on comfort as much as possible.

  The first process of determining the operation schedule is to convert the flow rate of people in each zone and each time zone into an evaluation value indicating whether the number of passing people is large or small. The reason is that the criteria for judging the amount of human flow varies depending on the area. Assume that the human flow rate evaluation value is represented by a numerical value from the lowest 0 (= zero number of passers) to the highest 1.

  As a method for calculating the human flow rate evaluation value, there is a method of preparing an evaluation function in advance. When a conversion table corresponding to this evaluation function is prepared and the human flow rate is between the values described in the conversion table, the human flow evaluation value may be obtained by a weighted average. This evaluation function is prepared for each control target building or each human flow rate calculation area. A graph 720 is an example of a human flow rate evaluation function, and a table 725 is a conversion table corresponding to the graph 720.

  Another human flow rate evaluation value calculation method is a method of relatively determining the flow rate of human flow in the floor or building. By arranging the number of passengers on each floor and each time zone obtained in step 214 in ascending order for all floors and all time zones, the cumulative frequency for the number of passengers can be calculated. This cumulative frequency is used as the human flow rate evaluation value for each floor and each time zone corresponding to the number of people getting on and off. A graph 730 is an example in which the accumulated frequency of the number of passengers is graphed. In this method, it is not necessary to prepare a human flow rate evaluation function.

  The second process of determining the operation schedule is to determine a temperature setting schedule for each FCU. As shown in the following equation, the set temperature is divided into a reference temperature and a vertical width from the reference temperature.

(Set temperature) = (Reference temperature) + (Temperature vertical range)
As the reference temperature, a value is set for each season as shown in Table 740, or a value corresponding to the expected maximum outside air temperature on the day and the energy saving level (input value) is set as shown in a graph 750. Instead of the expected maximum outside temperature of the day, the maximum outside temperature of the previous day can be used. The highest outdoor temperature of the previous day is a value measured by the building management system of the controlled building, and the predicted highest outdoor temperature of the day may be acquired from a weather information providing server on the Internet. For the energy saving level, the remote control server 150 provides an input screen to the service user as a website on the Internet, and the value input there is used.

  The temperature vertical range is set from the human flow rate evaluation value and the above energy saving level. A graph 760 is an example of a graph for determining the temperature upper and lower width directly from the human flow rate evaluation value and the energy saving level.

  If the temperature vertical range (here, absolute value) is added to the reference temperature during cooling, and subtracted from the reference temperature during heating, the set temperature is obtained.

  There is also a method in which the set temperature is not divided into the reference temperature and the temperature upper and lower width. In the graph 770, the human flow rate evaluation value is once converted into a predicted unsatisfied rate PPD (Predicted Percentage of Dissatisfied). PPD is a value obtained from a comfort index PMV (Predicted MeanVote) defined in ISO-7730. The energy saving level is used to set the PPD lower limit value 775 of the graph 770. The PPD lower limit value setting table 780 is an example of the setting. If the temperature setting range is limited from the room temperature corresponding to the lowest value of PPD (= 5) to the upper side during cooling and the lower side during heating, the PPD and room temperature will correspond one-to-one. Can be determined.

  Thus, the set room temperature pattern of the control target FCU is determined. The same applies to air conditioners other than the FCU. In addition to the set temperature, the intermittent rate of intermittent operation can be determined in the same manner. The output of the lighting device can be similarly determined. In addition, depending on the facility and time zone, an input facility output pattern may be prepared and used in preference to the facility output pattern determined in steps 210 to 218.

In step 220, the remote control server 150 creates control data representing the set room temperature pattern determined in step 218, and performs transmission / reception with the BA server 102. In step 222, the BA server 102 interprets the control data sent from the remote control server 150, and in step 224, the BA server 102 issues a control command to the controlled equipment.

  FIG. 8 shows an example of control data. The control data is surrounded by a start signal 801 and an end signal 890. Next, a control type 810 is written, and it can be seen that this control data relates to room temperature setting. The BA server decodes the control data based on the data structure for each control type. In the control target equipment database 710, the correspondence between the equipment and the control points (tag points) on the BA is also taken. Based on this, the control point 820 is designated in the control data. Next, a period 830 in which the control data is valid is entered. When the human flow rate is analyzed every hour in Step 214 to Step 218, this can also be set every hour. Next, a set 840, 850 of a set temperature and a time for maintaining the set temperature is entered.

In this example, it is assumed that the room temperature of the FCU can only be set at integers, that is, at intervals of 1 ° C. Since the room temperature determined in step 218 is small, a small set temperature is approximately realized by periodically repeating two integer values before and after. In step 218, the set temperature is X [° C.], an integer value less than X is floor (X) [° C.], an integer value greater than or equal to X is ceil (X) [° C.], and the duration of floor (X) is T1 [ Min], the duration of ceil (X) is T2 [min], and the period is Tb [min]
T1 = Tb × (ceil (X) −X)
T2 = Tb × (X-floor (X))
In the example of FIG. 8, X = 26.7 and Tb = 10.

  Next, a control delay time 880 is described. When the start / stop of the equipment is instructed from the BEMS center apparatus 101 instead of from the remote control server 150, a problem may occur if the instruction from the remote control server 150 is executed immediately after the equipment is started. For this reason, the contents of this control data are not implemented until the control delay time has elapsed since the start of the equipment. The control delay time is stored in the control target equipment database 710.

  In step 226, the BA server 102 measures energy consumption as a control result and transmits the value to the remote control server 150. The energy consumption measurement data is required for verification of the effect of this control and energy consumption prediction.

  In step 228, the remote control server 150 determines whether to end the control. This control is terminated according to conditions such as when a predetermined control period has ended, or otherwise, the process returns to step 210 to repeat this control.

  The above is the control procedure of this control. In this example, the car load is converted into the number of people, but the weight may be processed as it is. In this case, the standard weight is not necessary. If the car does not have a scale, or if the information is not available, the number of car stops at each time and each floor can be used instead. At this time, the human flow rate evaluation function is replaced with an evaluation function for the number of times of stopping the car, and the reference temperature setting table 740, the reference temperature setting graph 750, the temperature upper / lower width setting graph 760, and the room temperature setting predicted unsatisfaction rate setting graph 770 are also evaluated. Replace with one that uses.

  In the following, devices relating to human flow analysis and uses other than the above for human flow will be described. It is considered that the more passengers get in and out of the door, the more passengers get in and out of the car. Therefore, when the load in the car is not known, the number of passengers in the car can be assumed according to the time between the doors. The conversion from the door opening / closing time to the number of passengers is because the remote control server 150 has the same data and conversion formula as in Table 725.

  When the elevator operation information includes car call data and the call generation time is included in the data, the car call is generated, not the time when the car door is opened or closed, when the number of people entering the car is counted as a human flow. Time. In addition, the remote control server 150 takes the average and dispersion of the time from the call generation time to the car arrival time in each floor and each time zone. The impact on comfort can be reduced.

  Not only the common part but also the exclusive part can be controlled. A storage area for counting the number of people in each room is prepared in the remote control server 150, the flow rate obtained from the number of passengers in the car is subtracted, and the flow rate obtained from the number of people getting out of the car is added. The number of people in the room can be estimated. If there are multiple rooms on the same floor, the flow of people in the common area at the entrance of the room may be used to calculate the number of people in the room. In the case of FIG. 6, if it is Room-1, it will become the area 650e. Other ways of allocating human flow may include remote control server 150 having the maximum room capacity as data and making it proportional to the value, or making it proportional to the number of doors opened and closed or the number of lights lit by the building management system. . Further, the occupancy rate obtained by dividing the occupancy by the average occupancy of each room may be used in the facility operation plan as if the car load was converted into the occupancy.

  When it is possible to know whether there is a person at each seat in the room using a human detection sensor, the following formula can be used.

(Number of seats left)-(Number of seats taken)-(Number of people getting off) + (Number of passengers)
= (Number of people who went to a room without human detection sensors)
In the case of FIG. 6, the number of people in the toilet can be estimated and used for facility control in the toilet.

  In the example of the shared unit control, the amount of heat generated by the human body is not taken into consideration, but it is necessary to consider it when intermittent control is performed when there are many people. In this case, the relationship between the flow rate of people or the number of people in the room and the rate of change in room temperature can be grasped by regression analysis or the like. The rate of change in the room temperature is learned by calculating the room temperature increase rate when the air conditioning is stopped and the room temperature decrease rate when the air conditioning is in operation. When heating, calculate and learn the room temperature rise rate when air conditioning is activated and the room temperature decline rate when air conditioning is stopped.

  As an example of utilizing the relationship between the human flow rate or the number of people in the room and the room temperature change rate, an example in which the set temperature determined in step 218 is realized by intermittent operation during cooling will be shown. In FIG. 9, a graph 910 is a room temperature fluctuation assumed graph when the intermittent operation is performed. On the room temperature axis, Zs is a set temperature determined from the human flow rate. Zb is a set room temperature of the air conditioner, and is a value smaller than Zs, for example, floor (Zs). Zu is a value larger than Zs, and is a room temperature upper limit value that is allowed when the air conditioner is stopped, and is defined as, for example, floor (Zs) +2. On the time axis, ΔToff is the time for stopping the air conditioner, and ΔTon is the time for operating the air conditioner, which repeats alternately. ΔTk is the time for operating the air conditioner to maintain the room temperature Zs. In the room temperature fluctuation, the alternate long and short dash lines 920 and 925 are regarded as actual room temperature fluctuations, and approximated by the learned room temperature rise line 930 and the room temperature fall line 935.

  In graph 910, since the average room temperature when air conditioning is stopped is (Tu + Tb) / 2, the following equation is established.

Ts = {Δtoff × (Tu + Tb) / 2 + Tb × ΔTon} / (ΔToff
+ ΔTon)
Since ΔToff is determined from Tu, Tb, room temperature rise line 930, and room temperature fall line 935, ΔTon can be obtained from the above equation. That is, the operation interval of intermittent operation can be determined.

  Similarly, the relationship between the flow rate of people or the number of people in the room and the rate of change in room temperature can be used during intermittent operation planning during heating.

  If the elevator operation information cannot be obtained online and is stored in the recording device in the elevator monitoring device, the recording medium reading device can be provided on the intranet 120 or the Internet 140 so that the elevator operation information can be used. Good.

  Also, if the elevator is not in the building to be controlled in the first place, or if there is an elevator but its operation information is unavoidable, the equipment operation control is carried out using the elevator operation information of other similar buildings or the results of human flow analysis. It can be carried out. For example, from the elevator operation information database in the remote control server 150, the number of tenants in the same industry is converted into the occupancy rate, and the average value is used. Or, the floor where the tenant of the same industry as the controlled floor is occupying a building of the same usage and the same size as the controlled building (difference is determined by ± 10% or belonging to the same set class) It is conceivable to use the average value of the person flow rate evaluation value obtained from the number of passengers getting on and off the car (one industry per floor).

  According to the above embodiment, the elevator operation information is used to evaluate the flow rate of the common part of the building and the room occupancy rate, and when there are few people, the lighting and air conditioning are relaxed to affect the comfort as much as possible. It is possible to perform control to reduce energy consumption after suppressing it, and control to optimize the air conditioning output in consideration of the amount of heat generated by the human body. At this time, the facility operation planning method of the present invention provides a basis / support for the control content and automates the determination of the control content.

  In addition, for buildings where elevator operation information cannot be acquired, equipment control for the purpose of energy saving and output optimization described above can be realized by diverting the elevator operation information of the similar building or its one floor and its analysis results. it can.

  Regarding equipment control using elevator operation information, examples other than lighting and air conditioning will be given. In communication via the Internet, there is an upper limit on the band that can be used in one building, and the communication device may perform control for allocating the band in the building. If this bandwidth allocation is performed in proportion to the estimated number of people in each room or the estimated number of people in each floor, the balance between the amount of bandwidth used and the amount of bandwidth limitation can be obtained.

  In addition to the elevator, the same control is possible with an escalator. Since the power consumption of the escalator generally increases with the occupant's load, for example, a value obtained by subtracting the base power consumption from the average power consumption every 10 minutes can be handled in the same manner as the load in the elevator car. Since the escalator is divided up and down, it is possible to estimate the flow rate of people going from one floor to the next higher floor and the flow rate of people going to the next lower floor.

  The apparatus of the first embodiment can also be configured by installing a program for causing a computer to execute the above functions.

The figure which shows the structure of the system which remotely controls the equipment of a building. The figure which shows an equipment device control procedure. The figure which shows the structure of elevator car operation data. The figure which shows the example of a production | generation of car operation data. The figure which shows description of an elevator boarding / alighting number calculation. The figure which shows a control object floor top view. The figure which shows description of the setting room temperature determination method. The figure which shows the structure of equipment control data. The figure which shows the room temperature fluctuation | variation assumption graph at the time of intermittent operation.

Explanation of symbols

DESCRIPTION OF SYMBOLS 101 ... BEMS center apparatus, 102 ... BA server, 105 ... BA system communication path, 110a ... Outlet appliance, 111a ... Lighting equipment, 112a ... Air conditioning equipment, 113a ... Disaster prevention equipment,
114a ... Security equipment, 115a ... Elevator equipment, 116a ... Environmental measuring device, 110b-116b, 118 ... Field controller, 110c-115c ... Energy consumption measuring device, 120 ... Intranet, 130 ... Gateway, 135 ... Private branch exchange equipment, 140 ... Internet, 145 ... public telephone line, 150 ... remote control server, 155 ... elevator monitoring server, 170 ... elevator monitoring device, 190 ... building to be controlled, 510 ... elevator operation information database, 520 ... calendar data, 525 ... date part, 526 ... calendar data part, 530 ... operation plan creation policy data, 550 ... extracted elevator operation information, 560 ... statistically processed elevator operation information, 601 to 605, 620, 625 ... room,
610: Elevator, 650a to 650h ... Common area, 690 ... Human flow allocation data,
710 ... Control target equipment database, 720 ... Human flow rate evaluation function, 725 ... Human flow rate evaluation value conversion table, 730 ... Human flow rate evaluation function (cumulative frequency), 740 ... Reference temperature setting table, 750 ... Reference temperature setting graph, 760 ... Temperature upper / lower width setting graph, 770... Room temperature setting prediction unsatisfaction rate setting graph, 775... Prediction unsatisfaction rate lower limit, 780.

Claims (3)

Elevator operation information receiving means for receiving elevator operation information of the target building,
Based on the elevator operation information received by the elevator operation information receiving means , the number of people getting on and off the elevator on the floor of the target building is obtained, and the number of people getting on and off is proportional to the human flow allocation data on a plurality of areas on the floor. Human flow rate calculating means for calculating the human flow rate of each area by allocating to a plurality of areas ;
A human flow evaluation means for calculating some human flow rate of each zone the person flow rate calculating means is calculated as a human flow evaluation value, corresponding to each area based on the human flow evaluation value the person flow evaluation means calculated An equipment operation planning system comprising equipment operation planning means for creating an equipment operation schedule of equipment. In Claim 1, the elevator operation information received by the elevator operation information receiving means, the human flow evaluation value calculated by the human flow evaluation means or the elevator operation information database for storing the human flow calculated by the human flow calculation means,
The target building based on the elevator operation information received by the elevator operation information receiving means stored in the elevator operation information database, the human flow evaluation value calculated by the human flow evaluation means, or the human flow calculated by the human flow calculation means Elevator operation information, human flow evaluation value, and elevator operation information search means for searching for human flow in similar buildings or similar floors of the target floor,
The equipment operation planning means creates an equipment operation schedule based on elevator operation information, human flow evaluation value, and human flow in a similar building of the target building searched by the elevator operation information searching means or a similar floor of the target floor. Equipment operation planning system. An equipment operation comprising the equipment operation planning system according to claim 1, further comprising equipment control means for controlling the equipment based on the equipment operation schedule created by the equipment operation planning means. system.

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