JP2003186971A - Building economic value evaluation support method and system - Google Patents

Abstract

(57) [Summary] [Problem] In most cases, real estate such as buildings is evaluated based on data that has been traded. However, in this method, data on dynamic human movement was not reflected in the evaluation. It is an object of the present invention to provide a support system that can provide, as it were, data on dynamic customer movements as useful data on economic valuation of a building. A building information database that stores information unique to a building, a database that stores information on elevators installed in the building, a database that stores the operating state of the elevators, By providing a calculating means for calculating the popularity index of the building using a database storing the status, an economic value evaluation support system can be configured.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an economic value evaluation support system for a building, which provides information that serves as a reference when setting, for example, a tenant rent of a building or evaluating the asset value.

[0002]

2. Description of the Related Art The owner of a commercial building such as a department store or a shopping mall, or the owner of an office building sets the rent for a tenant who has a store or office in the building. In addition to the size of the building, ancillary equipment such as air conditioning equipment and elevators, building interior
It is set by considering various items such as exterior and building cleaning management status. Also, when the building owner sells the building, the selling price is set after considering these various items.

Conventionally, the evaluation of the economic value of a building such as the tenant rent and the sale price is often performed based on a database independently constructed by a real estate agent or the like.
That is, it is evaluated by the know-how of an experienced expert based on the transaction cases that the real estate agent has been in charge of so far and various survey results.

In the example disclosed in Japanese Unexamined Patent Publication No. 2001-117973, real estate properties are classified into several groups on the basis of attributes such as location conditions, floor plans, incidental facilities, surrounding area activity, and nearest railroad lines. Then, the evaluation is performed. It provides highly accurate price evaluation of real estate properties by performing price evaluation using an evaluation model constructed according to regional characteristics for each group, and provides related information necessary for sale or replacement. The system is disclosed. The valuation model has a function of generating a price valuation model for each clustered area classified according to the similarity of area characteristics, and calculating the valuation price of the target property based on the price valuation model.

Further, as a prior art relating to operation management of elevators installed in a building, Japanese Patent Laid-Open No. 11-2 is known.
There is a publication of 09090. This relates to group management of elevators that totally controls the operation of each car of a plurality of elevators. In addition to this, a technique related to this type of operation management is disclosed in Japanese Patent Laid-Open No. 7-196265.
There are many publications such as JP-A-8-113437.

[0006]

[Problems to be Solved by the Invention] Conventionally, as information for evaluation of real estate such as buildings as described above, conventionally, location conditions of buildings, space of tenant space, incidental equipment such as air conditioners and elevators, interior decoration of buildings, etc. There are exterior and building cleaning management conditions, etc., which are considered to be effective to some extent as a material for evaluating the economic value of a building. However, especially for tenants who have stores in commercial buildings, the number of customers visiting the tenant space is important. That is, it is judged that a building or a floor, which is popular as a commercial facility and has a large attracting power to attract many customers, is more valuable as a tenant space.

Even with the method used conventionally, it is possible to indirectly estimate the number of visitors to the building from the location conditions such as the distance from the nearest station and whether or not the surrounding area is a downtown area. Is not impossible. However, in order to make such an inference, research on the surrounding area and abundant empirical knowledge are necessary. Even if the building is in a suitable location, it is not always a popular building. Further, the number of visitors to a building is often influenced by various complex factors, and it is difficult to easily and objectively estimate the popularity of the building.

Furthermore, the flow of customers changes with time due to changes in the situation such as commercial facilities and transportation newly constructed in the area. Not only does this method require enormous amount of research and estimation work, but it is difficult to identify the factor from the viewpoint of attracting customers to the building.

On the other hand, along with the trend and progress of real estate investment trust, the value of a building as an investment object is required to be evaluated more objectively and fairly than ever before. In this case, the value of a building is more important than the location conditions and the degree of fulfillment of building equipment, how much the building attracts customers and increases sales. For example, with respect to commercial buildings, a building with a large number of customers and a high tenant rent, which allows higher rents, has a higher investment value. From this point of view, there has been no support method for easily and objectively evaluating the value of a building.

The conventional evaluation method is, so to speak, an evaluation based on static data, and the movement of the customer, that is, the number of customers who come to the building or the floor of the building is not taken into consideration. Moreover, even if the number of customers is taken into consideration, it is only an estimated number from static data. Further, even if the operation data of the elevators of the building is accumulated, it is used only for the group management of the elevators, and is not used in relation to the economic value of the building.

Therefore, the object of the present invention is to consider the movement of the number of visitors who actually visit the building, which is important as the value of commercial facilities among the economic value of a building, which is dynamic against conventional static data. Data that can be said to be data, that is, the operation data of the elevators of a building represents the movement of customers, and provides information that easily and objectively evaluates the popularity (or the ability to attract customers) of a building, and It is to provide a support system for accurately evaluating the intellectual value.

[0012]

[Means for Solving the Problems] The problems are as follows: an operation recording means for recording the operation of an elevator of a building, a database storing attribute information of the elevator or the building, an operation record accumulated by the operation recording means, and It is characterized in that it comprises means for calculating an index indicating the popularity of the building from the attribute information, and the above problems can be solved by the following concrete method and system.

A method for supporting an economic value evaluation of a building, comprising: an elevator installed in a building composed of a plurality of floors; and an operation control device controlling the operation of the elevator. Collecting the operation record data of the elevator, calculating the floor average value of the time integrated value of the total number of passengers of the entire building from the operation record data of the elevator, as the popularity index of the entire building, each of the plurality of floors In the above, the time integral value of the number of staying guests in the building is calculated, and the ratio of the time integration value of the number of guests to the entire building to the average value of each floor is calculated and used as the popularity index of each floor of the building to determine the popularity of the entire building. It provides a degree index and a popularity index of each floor of the building to support the economic value evaluation of the building.

Further, the building is composed of a plurality of predetermined buildings, and each floor average of the time integrated value of the number of passengers for each of the plurality of buildings and each floor of the time integrated value of the number of guests in each building. The ratio to the floor average value is calculated and provided as a popularity index of each of the plurality of buildings.

The building has an elevator installed in a building composed of a plurality of floors, and a control device for controlling the operation of the elevator, and using the operation record data of the elevator of the building, the economy of the building In a system that supports a physical value evaluation, a building information database that stores information unique to the building, a database that stores elevator information installed in the building, and an operation record of elevators in the building are collected. Means for calculating the popularity index of the building, using the database storing the operating status of the elevator, the data of the database storing the operating status, the building information and the elevator information. Calculating means for calculating the time integral value of the number of people staying on each of the plurality of floors from the data of the operation storage means of the elevator. Calculate the floor average value of the time integrated value of the number of guests for the entire building, as a popularity index of the entire building, or of the time integrated value of the number of guests staying on each floor for each floor average value of the entire building It is characterized in that it is a calculation means for calculating the ratio and calculating the popularity index of each floor of the building, and constitutes a system for supporting the economic value evaluation of the building.

Further, the calculating means calculates each floor average value of the time integrated value of the number of guests for each of a plurality of predetermined buildings, and calculates each floor average value of the time integrated value of the number of guests in each building. The calculation means calculates the ratio of the above, and provides the popularity index of each of the plurality of buildings. The elevator is composed of an elevator and an escalator.

[0017]

BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram showing the configuration of an embodiment of a building economic value evaluation support system according to the present invention. In FIG. 1, 1 is a building whose value is to be evaluated, 2 is an elevator installed in the building, 3 is a control device having a function of controlling the operation of the elevator and at the same time storing the operation status, 4 is Escalators 5 installed in the building are control devices having a function of controlling the operation of the escalator and simultaneously recording the operation status.

6 is a transmitter for transferring the operation data of the elevators and escalators recorded by the control devices 3 and 5 through a communication line 7, 8 is a receiver for collecting the operation data sent by the transmitter 6, and 9 is the aforesaid device. The operation record collection means for recording the operation data collected by the receiving device (herein referred to as the elevator including the elevator and the escalator) in the elevator operation record database 10, 11 is the elevator installed in the building (2 or Elevator information (elevator attribute) database that stores information about the building 4, 12 is a building information (building attribute) database that stores information about the building including the building 1, 13 is the operation record database Using the data of 10, the elevator information database 11 and the building information database 12, for example, Air permeability index is a calculating means for calculating a (attract index).

In the above, the operation record collecting means 9 and the building popularity index calculating means 13 may be configured as a program on a computer, for example, and 16 in the figure is the above two means 9 and 13. Is an input device and 15 is an output device of the computer. In this case 10,1
Each of the databases 1 and 12 is, for example, a computer 16
May be configured as the external storage device.
From the input device 14, the building you want to know the popularity of, or
You can specify a specific floor of a building and give instructions to calculate the popularity.

The computer system 17 composed of the above 8 to 16 may be installed in a control center for remote control of elevators, for example. here,
A control center is a company that undertakes the maintenance of elevators. The system installed there monitors the operating status of the elevators and provides maintenance services for the building, such as dispatching maintenance personnel when an abnormality occurs. The government control center is also a department that responds to inquiries from elevator owners or users. Of course, this computer system 1
7 may be installed in each building. However, by grasping the movements of customers in multiple buildings, it is possible to take into account the influence on specific buildings, that is, mutual influences.
The economic evaluation can be more appropriately performed by forming a plurality of predetermined buildings or a group of a plurality of predetermined buildings. In addition, by providing information relating to the economic evaluation of buildings or floors for a plurality of buildings, it can be established as a business form. This will be described later.

Next, an example of the contents of data recorded in the operation record database 10, the elevator information database 11, and the building information database 12 will be described. Figure 2
It is a figure which shows the example of the operation record of the elevator in the operation record database 10. In this example, the operation record is described for each event. An event means a series of operations from the elevator car reaching the floor designated by the call button on the floor or the destination button in the car until the door opens. In FIG.
The time column 100 represents the time when the event ended. Specifically, it is the time when the car arrives at the predetermined floor and the door is opened. The floor column 101 represents the floor that the car reached at the event. Load column 102
Represents the load acting on the car at the event, and 102a represents the increase or decrease in the number of customers on the second floor due to the operation of the elevator.

Here, the data in the load column is, for example, the total weight of passengers in the car measured by the weight sensor provided in the car. This data is used to know the number of passengers in the car carried in each event. Therefore, this data does not necessarily have to be the load, and may be the number of passengers recognized from the image of the camera provided in the car, for example. That is, regarding the event of (1) in FIG. 2, time 09: 23: 3
In Fig. 2, the elevator car arrives at the second floor, and the weight acting on the car is 180 kg.
If the weight only decreases, the number of customers on the second floor will increase by 3 (60 kg
/ Assuming people). If there are passengers boarding on the second floor (the number of passengers on the second floor will decrease and the difference will be the number of passengers on the second floor), the weight of the car will be applied again.

The operation record as shown in FIG. 2 can be obtained by the following procedure, for example. First, remember the load that was working on the car when the elevator doors closed. Next, by using the call button on the floor or the destination button in the car, the car moves to reach the target floor, and when the door opens, the time and arrival floor are recorded as an operation record along with the weight that was remembered earlier. Record. In (1) of FIG. 2, there is a decrease of 180 (kg) on the second floor, and when an increase of 180 (kg) is recorded again, it is recorded that three people got off and three people got on the second floor. . Therefore, if the decrease is only 180 (kg), it is recorded that the number of customers has increased by 3 on the second floor.

The operation record acquisition processing as described above is carried out, for example, by providing a storage device for storing the program for executing the above procedure and the operation record in the elevator control device 3 and accumulating in the storage device. The operation record thus collected is collected by a command from the operation record collecting means 9 at regular time intervals via the communication means including the transmitting device 6, the receiving device 8 and the communication line 7.

FIG. 3 is a diagram showing an example of the operation record of the escalator in the operation record database 10. In this example, the operation record is described in units of data acquired at regular time intervals. In FIG. 3, the time column 10
3 represents the time when the data was acquired. The load column 104 represents the load acting on the escalator measured at the timing when the data is acquired. 2 in 103a is an escalator for carrying passengers from the first floor to the second floor because the last floor is 2.
It means that it is 102a represents the number of customers who got off on the second floor. The increase / decrease in the number of customers due to only the escalator on a certain floor is 3, in the case of the second floor, by the escalator on the first floor (the escalator from the first floor to the second floor). If there are two guests due to the escalator on the second floor (escalators from the second floor to the third time), the number of guests on the second floor during that time period has increased by one. In this way, the number of customers on each floor is stored with time.

Here, the load acting on the escalator is
It is the load generated by passengers riding on the stepped portion of the escalator, and is considered to increase substantially in proportion to the number of passengers. This load can be obtained, for example, by measuring the torque acting on the step drive motor. This data is used to know the number of passengers carried by the escalator at the timing of acquisition of each data. If the escalator is on the first floor, you will always get off on the second floor, so the load acting on the escalator corresponds to the number of customers moving to the second floor. Although the load applied to the escalator is focused here, this data does not necessarily have to be the load. For example, a method of recognizing the number of passengers from an image of a camera installed at a position overlooking the entire steps of the escalator may be used.

The operation record shown in FIG. 3 is data collected for each escalator installed in the building. The operation record as shown in FIG. 3 can be obtained by providing a program for measuring the torque of the drive motor of the escalator step in the control device 5 of the escalator when receiving a command from the operation record collecting means 9, for example. You can Alternatively, the control device 5 is provided with a storage device for storing the program for measuring the torque of the drive motor and the measurement result at regular time intervals, and when the operation record collecting means 9 gives a command, It can be obtained by transferring the data stored in the storage device.

In FIG. 3, 103 is the time when the weight 104 acting on the escalator is measured, and (1) in FIG. 3 is an escalator that carries a customer from the first floor to the second floor (final floor).
And represents that a load of 180 (kg) is acting. On the last floor, customers corresponding to the load will go down to the second floor.

FIG. 4 is a diagram showing an example of elevator information stored in the elevator information database 11. Elevator
The number column 105 represents a number that identifies each elevator, the installed building number column 106 represents a number that identifies the building in which the elevator is installed, and the usage column 10
7 indicates whether the elevator is exclusively for freight or is available to general users, and the capacity column 108 indicates the capacity of the elevator car. Although not shown, the same applies to the escalator, which includes the escalator number and the installation building number. These data can be obtained from, for example, a customer management database of a company that undertakes maintenance of elevators. Although only the elevator # 2001 is shown for the building # 1023,
Buildings with only one elevator installed are rare, and in reality, multiple elevators are usually installed. However, here, elevator # 2001
Indicates that it is installed in the building number 1023.

Further, if the data on the operating status of the freight elevator is collected here, it is possible to estimate the carry-in amount (for example, weight) to the building or the carry-in amount (for example, weight) to the floor. . For example, in a building or floor with a large amount of carried-in and a small amount of carried-out, the difference can be estimated to have been purchased and shipped by the customer.Therefore, not only information related to economic value judgment but also information related to sales Can also be provided as. Items that can be measured by weight are limited, but can be used as reference data.

FIG. 5 is a diagram showing an example of building information stored in the building information database 12. Building number column 10
9 indicates the number for identifying each building, and the address column 1
10 represents the address of the building's location, and the site area column 11
1 represents the site area of the building, the number of floors column 112 represents the number of floors of the building, and the use column 113 represents the main use of the building. These data can be obtained from, for example, a customer management database of a company that undertakes building maintenance.
In addition, these data are, so to speak, static data.

Next, details of the building popularity index (or may be referred to as a customer attraction index) calculating means 13 will be described below. First, the procedure for obtaining the average number of guests on each floor, that is, the time average of the number of people on each floor, from the operation record of the elevator will be shown.

FIG. 6 is a schematic diagram showing how the elevator car moves between floors. In the figure, the horizontal axis represents the time, the vertical axis represents the floor, and the diagonal line segment represents the locus of movement. Also, the white circle indicates that the door was opened, and the black circle indicates that the door was closed.
It represents the number of passengers on each trip.

When the elevator is operated as shown in FIG. 6, the number of people on each floor changes as shown in FIG.
For example, on the 4th floor, starting from 0 people, time 4
A car with three passengers in the car arrives and is empty 1
By returning to the floor, it means that the number of people on the 4th floor has increased by 3 at this point. Then, at time 19, a car with one passenger arrives, and after the passenger exits the car, the elevator door closes temporarily, but the car does not move to another floor.
We are waiting on the floor and at time 22 two customers are on the lower floor (3
Move to the floor). Therefore, the change in the number of people during this period is 4
After the number of people increases, the number will decrease to two.

The average number of people staying on each floor can be obtained from the change in the number of people staying on each floor at each time. For example, in the case of FIG. 7, the average number of people staying from time 0 to time 30 is 0.9 on the second floor and 2.3 on the third floor.
The number of people on the 4th floor will be 2.4. In FIG. 7, the horizontal axis represents time, and the vertical axis represents the number of people on each floor, which is shown in FIG.

On the other hand, the operation record when the elevator is operated as shown in FIG. 6 becomes data as shown in FIG.
This is also the number of people and can be seen as the change in the number of people. From this operation record data, the average number of people staying on each floor described above can be obtained by the procedure shown in FIG.

First, in step s1 in FIG. 10, the number of staying persons N (i) for each floor, the total number of persons NT (i) representing the product of the number of staying persons and the time, and the time T (i) for calculating the total number of persons.
Is prepared as an array variable for storing.
Then, first, all are initialized to 0. Next, in step s2, one record is read from the operation record, the time data of the record is set to t, the arrival floor data is set to i, and the load data is set to m. In step s3, T
Since (i) represents the time when the total number of people was calculated for the floor i last time, the total number of people N from that time to this time is N.
Calculate (i) * (t-T (i)) and add to NT (i).

Next, at step s4, when the weight of the next record of the currently read record is m1, (m
-M1) / Wa is calculated and added to N (i). Here, Wa is an average weight of a person (for example, 60 kg), and is divided into the number of persons by dividing the load of the car by this value. Then, in step s5, T (i)
Is set as t, and s2 to s5 are determined and repeated in step s6 until all the records of the operation record are read. Finally, the average number of guests on each floor can be determined by dividing NT (i) by the total operating time. In the above procedure, for the last record,
For example, m1 is calculated as 0.

Next, a procedure for obtaining the average number of people staying on each floor from the operation record of the escalator will be shown. FIG. 11: is the figure which showed typically the passenger's conveyance pattern by an escalator. In the figure, the horizontal axis represents time, and the rectangles A to F represent one passenger, respectively, indicating that the vehicle was transported by an escalator during the time zone shown in the figure. That is, it means that the user got on the escalator at the timing of the left end of the rectangle and got off at the timing of the right end. Further, a block shown as 1F represents an event relating to an uphill escalator provided between the first floor and the second floor, and a block shown as 2F represents an event relating to an uphill escalator provided between the second floor and the third floor.

In the example of FIG. 11, first, four passengers board the escalator on the 1st floor, are transported for the period indicated by A, B, C, and D, and are moved to the 2F, and are transported during the periods A and C. The passengers (transport of A and transport of C) board the escalator on the second floor, are transported for the period indicated by E and F, and move to the third floor.

When the passengers are transported in the transportation pattern as shown in FIG. 11, the load acting on each escalator is shown in FIG.
It becomes like 2. In FIG. 12, the horizontal axis represents time and the vertical axis represents the load that worked at each time, where 200 is the load that worked on the 1F escalator and 201 was the load that worked on the 2F escalator. FIG. 12 corresponds to the operation record data of the escalator when the passenger is transported in the transportation pattern as shown in FIG.

When the waveform of such a load fluctuation is integrated in the time axis direction and divided by the weight per passenger, a waveform as shown in FIG. 13 is obtained. In the figure, 202 is an integral of 200, and 203 is an integral of 201. These waveforms represent temporal changes in the cumulative number of passengers carried by each escalator. FIG.
In the example, at time 12 when all the transportation is completed, 1
There are 4 escalator on the 2nd floor and 2 escalator on the 2nd floor
It means carrying passengers. Also, from this, 2F
The number of people staying in is 1F escalator (1F → 2
2) Escalator (2F → 3)
F) It can be calculated as the number obtained by subtracting the cumulative number of transporters. That is, the waveform 204 obtained by subtracting 202 from 203 in FIG. 13 corresponds to the temporal change in the number of people staying on 2F. Further, since there is no movement of the person above the 3rd floor, the temporal change in the number of people staying on the 3rd floor is equal to the temporal change 203 of the cumulative number of passengers on the escalator on the 2nd floor.

From the above, it is possible to obtain the average staying number of 2F from the time average of the waveform 204 of FIG. 13 and the average staying number of 3F from the time average of the waveform 203.

In practice, the same procedure is applied to the downward escalators to find the time change of the cumulative number of passengers, and subtract the difference to find the time change of the number of people staying on each floor to find the average number of people staying.

The above procedure is summarized in FIG. 14 which shows the procedure for obtaining the average number of people staying on each floor from the escalator operation record data. First, in step s10, NT (i) is prepared as an array variable for storing the number of staying persons N (i) for each floor and the total number of persons representing the product of the number of staying persons and time, and all are initialized to 0. Turn it into. Then step s
11 is set as i = 1, and at step s12, one record is read from the operation record regarding the up and down escalators of the floor i, the load data of the up escalators is m1, and the load data of the down escalators is m.
Set to 2. Here, the up escalator of the floor i indicates an up escalator provided between the floor i and the floor i + 1, and the down escalator of the floor i is
The down escalator provided between the floor i and the floor i + 1 is shown.

Next, in step s13, (m1-
m2) / Wa / T is calculated, and this is subtracted from N (i) and at the same time added to N (i + 1). Here, Wa is the average weight of a person, and is divided by this value to convert it into the number of persons. Further, T is a value obtained by dividing the time required for one passenger to get on and off the escalator by the sampling period ΔT of the operation record data. In the example shown in FIG. 11, the value of T is 4. S above
The processing of 12 and s13 is performed in steps s11 to s15 for the floors from the bottom floor to the floor immediately below the top floor.

Next, in steps s16 to s19, N (i) * ΔT is calculated for all floors and added to NT (i) (s16 to s19). Here, ΔT is a sampling cycle of the operation record data. Above s11 to s1
The processing up to 9 is repeated until all the records of the operation record are read (s20), and finally, the average number of people staying on each floor can be obtained by dividing NT (i) by the total operation time.

The above-described procedure for obtaining the average number of guests on each floor from the operation records of elevators and escalators cannot correctly calculate the first floor with an entrance to the outside of the building and the floor with a connecting passage. . For these floors, for example, a device for counting the number of people coming and going may be provided at an entrance or a passage, and the counting result may be incorporated in the above calculation. Also, as a simple method, it is conceivable to use a value that is roughly estimated based on the inflow and outflow amount of people to and from those floors, which is obtained from the operation records of elevators and escalators. That is, for example, a method of determining the average number of people staying on the floor assuming that the person who flows in and out through an elevator or an escalator stays on the floor for a certain period of time may be used.

By the above procedure, the average number of guests staying on each floor is obtained by adding the average number of guests staying obtained from the operation records of the elevator and escalator. Using this, the building popularity index can be calculated, for example, by the following procedure.

Now, if the average number of people staying on each floor calculated as described above is ni and the value obtained by dividing this by the site area included in the building information database 12 is Ni, Ni is the floor i
Average population density in. If Nb is the average value of Ni for all floors of the building, Nb is the average population density for the entire building.

It is possible to obtain such a value Nb for various buildings and normalize this value with the average value to obtain a building popularity index. Further, the average population density Ni for each floor of various buildings can be obtained, and a value obtained by normalizing the average density Ni can be used as a popularity index for each floor of the building.

In summary, the procedure for calculating the building popularity index is shown in FIG. First, according to the procedure shown in FIG. 10, in step s30, the average number of guests n1i for each floor of the building is calculated from the operation record of the elevator. At this time, the target elevator is selected for each building using the correspondence between the elevator number and the installed building number included in the elevator information database 11. Further, by using the information on the use of the elevator, which is also included in the elevator information database 11, the elevator for exclusive use of freight is excluded.

However, when providing information related to sales based on the difference between the carry-in amount and the carry-out amount, the operation data of the freight elevator is treated separately, and the movement of the customer or the number of people staying is handled. By processing in the same manner as grasping, significant information can be provided.

Next, in step s31 according to the procedure shown in FIG. 15, the average number of guests n2i for each floor of the building is calculated from the operation record of the escalator. At this time, the target escalator is selected for each building using the correspondence between the escalator number and the installed building number included in the elevator database 11.

Next, in step s32, n1i and n2i
Is added and divided by the site area S of the building to obtain the average population density Ni for each floor. Then, in step s33, N
The average value from the lowest floor to the highest floor of i is calculated to obtain the average population density Nb of the entire building.

The above procedure is executed in step s34 for all buildings included in the building information database 12.

From Nb thus obtained, step s3
5, the average value Nba of the building group is calculated. There may be various cases such as the case of 3 to 5 buildings such as the group of buildings and the group of predetermined buildings, which are similar in business (s35 to s38 are represented by n). Procedure for a particular building). And step s
According to 36, the popularity index (customer attraction index) Nbn regarding each building is obtained by dividing Nb by Nba. Similarly, in step s37, the average value Ni of Ni, which is predetermined for the group of buildings, is calculated in the same manner as described above, and in step s38, the popularity index for each floor of the building is calculated by dividing Ni by Nia.

Here, in the calculation of the average value of Nb and Ni, it may be calculated not for all buildings but for each use of the building. That is, using the usage information of the building included in the building information database, the average value is separately calculated for the building which is the store and the building which is the office, and the popularity index is calculated. As a result, it is possible to obtain an appropriate table value for each use of the building.

The popularity index for each building and each floor of the building calculated by the above procedure is displayed by the display device 15 of the computer system 17 in FIG. Further, the information displayed on the display device 15 is not only the popularity index, but also various information such as the average population density of buildings obtained during the calculation, the average number of guests on each floor, or the number of instantaneous guests at a certain time. May be included. The input device 14 in FIG. 1 is used to specify a building or a floor of a building for which a popularity index (customer attraction index) is to be displayed, and at the same time, to display such various information.

According to the economic value evaluation support system for a building according to the present invention, the operation records of elevators are continuously accumulated, so that even if a large-scale survey or the like is not carried out, the economy of the latest building is always maintained. Value can be evaluated. For example, in the above calculation procedure, if you set the operating period of the elevator that calculates the average number of guests to the period such as the past one month or the past one year from the time of calculation, it will change every month or every year. The market value of economic value can be calculated. Using this, the building owner can set an appropriate tenant fee based on an objective evaluation standard. In addition, an investor who invests in a building as an investment target can predict the income of the building based on the above-mentioned market price and make an appropriate investment plan.

In addition, in order to increase the sales, the distributors such as department stores and supermarkets can look at the average number of people staying at each floor in each store to study the optimal product arrangement that alleviates the congestion of customers or to increase sales. You can consider effective product placement. It is also possible to properly manage inventory by grasping the seasonal variation pattern of the number of customers.

In addition, the real estate agent can know the average number of household members by roughly estimating the number of residents of the condominium from the average number of stays and dividing by the number of resident households. Accordingly, it is possible to know the character of each condominium, for example, whether it is a condominium with a large number of single households or a condominium with a large number of married households, and it can be used as an evaluation material when buying and selling real estate.

Since the operation records of the elevators are continuously accumulated, there is an effect that the economic value of the latest building can always be easily and objectively obtained without conducting a large-scale survey. Further, by providing the building popularity index to a building management company, an investment trust company, or the like, it is possible to set an appropriate tenant fee or provide appropriate information as an investment target. An example thereof is shown in FIG.

In FIG. 16, 1a, 1b, ... 1n represent buildings as shown in FIG. The operation record data of elevators and escalators in those buildings are collected and stored, and if necessary, a computer system is used to calculate the popularity index of the buildings and the like, and customers 20a, 20b,
The building information management center 17G that provides information to 20 m is provided. 17G basically has the same configuration as 17 in FIG. Further, 7a is the same as 7 in FIG. 1, and is a communication line used for collecting the operation data of the elevator or the escalator.

The customer may be a building management company, an investment handling company, or an elevator or escalator maintenance company. The information management center 17G receives the request and provides the information. For example, the popularity index is calculated and provided to the customer. Alternatively,
If the customer is an elevator or escalator maintenance company, it is possible to provide data such as operation data, operation frequency, operation time after regular inspection, or fluctuation of landing error. Reference numeral 7b is a communication line, such as an internet line, for communicating between the building or customer and the building information management center 17G via these communication lines.

If requested by the customer, the requirements are searched using the databases 10 to 12, and if the calculation is required, for example, the popularity is calculated by the calculating means and the result is provided to the customer. To do. It can also be implemented as a business in which a fee is set in advance for each request item and the customer is billed every predetermined period (for example, on a monthly basis).

[0067]

According to the support system of the present invention, it is possible to effectively use the operation record data of the elevators and the like of the building and the economy of the entire building, a specific floor, or a predetermined building group. It is possible to provide information that is effective in determining a value.

[Brief description of drawings]

FIG. 1 is a diagram showing a configuration of an embodiment of an economic value evaluation support system for a building according to the present invention.

FIG. 2 is a diagram illustrating a configuration example of elevator operation record data.

FIG. 3 is a diagram showing a configuration example of escalator operation record data.

FIG. 4 is a diagram showing a data configuration example of an elevator information database.

FIG. 5 is a diagram showing a data configuration example of a building information database.

FIG. 6 is a diagram schematically showing an example of inter-floor movement of an elevator car.

FIG. 7 is a diagram showing an example of a temporal change in the number of people (or increase / decrease) on each floor of a building.

FIG. 8 is a diagram showing the number of persons (or the increase / decrease situation) on each floor at each time based on the data of FIG. 7.

FIG. 9 is a diagram showing an example of an operation record of an elevator.

FIG. 10 is a diagram showing a procedure for calculating the average number of people staying on each floor from the operation record of the elevator.

FIG. 11 is a diagram schematically showing an example of a passenger transportation pattern by an escalator.

FIG. 12 is a diagram showing an example of a temporal change of a load acting on an escalator.

FIG. 13 is a diagram showing an example of a temporal change in the number of people on each floor of the building calculated from the operation record of the escalator.

FIG. 14 is a diagram showing a procedure for calculating the average number of guests on each floor from the operation record of the escalator.

FIG. 15 is a diagram showing a procedure of calculating a popularity index of a building and each floor of the building from the operation record of the elevator.

FIG. 16 is a diagram showing an example of a block configuration diagram as a business model.

[Explanation of symbols]

1, 1a, 1b to 1n; Building 2; Elevator 3;
Elevator control device 4; Escalator 5; Escalator control device 6; Data transmission device 7,
7a, 7b; communication line 8; data receiving device 9; operation record collection means 10; operation record database 11; elevator information database 12; building information database 13; building popularity index calculation means 14; input device 15; display device
17; Computer system 17G; Building information management center 20a, 20b to 20m; Customer.

Claims (5)

[Claims] 1. A method for supporting economic value evaluation of the building, comprising: an elevator installed in a building composed of a plurality of floors; and an operation control device controlling operation of the elevator. The operation record data of the elevators of the building is collected, and each floor average value of the time integrated values of the number of passengers of the entire building is calculated from the operation record data of the elevators, and the popularity index of the entire building is calculated. The time integrated value of the number of visitors on each floor is calculated, and the ratio of the time integrated value of the number of guests to the entire building to the average value of each floor is calculated, and the popularity index of each floor of the building is calculated. And a popularity index of each floor of the building, and a method for supporting economic value evaluation of a building. 2. The building according to claim 1, wherein the building is composed of a plurality of predetermined buildings, and each floor average value of the time integrated value of the number of passengers for the entire plurality of buildings,
A method of supporting economic value evaluation of a building, comprising calculating a ratio of a time integrated value of the number of passengers in each building to an average value of each floor and providing the ratio as a popularity index of each of the plurality of buildings. 3. A method for supporting economic value evaluation of a building, comprising an elevator installed in a building composed of a plurality of floors, and an operation control device controlling operation of the elevator, Collecting operation record data of the elevators of the building, calculating each floor average value of time integrated values of the number of passengers of the entire building from the operation record data of the elevators, and providing it as a popularity index of the building. Method for supporting economic value evaluation of buildings. 4. An elevator installed in a building having a plurality of floors, and a control device for controlling the operation of the elevator, and the operation record data of the elevator of the building is used for the building. In a system for supporting the economic value evaluation of a building, a building information database storing information unique to the building, and a database storing elevator information including an escalator and an elevator installed in the building. A means for collecting operation records of the elevators of the building, a database storing the collected operation states of the elevators, data of the database storing the operation states, the building information and the elevator information. Calculating means for calculating the popularity index of the building using the calculating means for each of the plurality of floors from the data of the operation storage means of the elevator. The time integration value of the number of staying guests is calculated, and each floor average value of the time integration value of the number of guests for the entire building is calculated as the popularity index of the entire building, or for each floor average value of the entire building. An economic value evaluation support system for a building, characterized by calculating a ratio of a time integrated value of the number of visitors on each floor and providing it as a popularity index of each floor of the building. 5. The method according to claim 4, wherein the calculating means calculates an average value of floors of the time integrated value of the number of passengers for a plurality of predetermined buildings, and the time integration of the number of passengers in each building. An economic value evaluation support system for a building, which is a calculating means for calculating a ratio of a value to an average value of each floor, and is provided as a popularity index of each of the plurality of buildings.