JP5091544B2 - Indoor air conditioning management system - Google Patents

Description

  The present invention relates to a building air conditioning management system, and more particularly to a building air conditioning management system that manages air conditioning equipment on each floor of the building.

  For example, in buildings such as office buildings and factories, energy-saving methods for air-conditioning equipment that control air-conditioning equipment and eliminate unnecessary air-conditioning to reduce costs are proposed or implemented. This energy-saving technique for air conditioning equipment is a technique for switching temperature settings by feedback control using a temperature sensor installed in each room, for example. In addition, schedule management for controlling the temperature setting of the air conditioning for each time slot of the day by air conditioning centralized control is also performed. For example, the number of people in the room decreases during the lunch break, but the temperature setting of the air conditioner is controlled accordingly. Furthermore, air conditioning equipment is controlled in conjunction with entrance / exit management of each room using an ID card or IC tag. For example, there is a method such as a control that automatically stops air conditioning after all occupants in the room have left the room.

  In addition, a system has been proposed in which the number of passersby is estimated based on the elevator operation information and scale data in the building and reflected in the air conditioning control.

  For example, Patent Document 1 discloses a number confirmation device and an air conditioning control device using the same. Here, at the elevator car stop floor, the change in the elevator car load is detected by the load detector, and this is divided by the pre-set conversion load per person by the passenger boarding / alighting number calculation unit to cope with the change. Ask for the number of people to do. Then, the occupancy calculation unit determines that the number of people corresponding to the load increase is a decrease in the number of people in the stop floor, and the number of people corresponding to the load decrease is determined as an increase in the number of people in the stop floor. And estimate the number of people in the room.

  Patent Document 2 discloses a simple ramp detection device that is unlikely to cause misdetection of ramp detection in various places such as a closed space such as in an elevator car.

JP 9-269262 A JP 2006-276969 A

  The feedback control by the temperature sensor of the air conditioning equipment has a limit in the accuracy of temperature management by air conditioning because it controls by measuring the temperature at a certain point in the room, and the air conditioning control always takes into account the number of people in the room That's not true. Further, the control based on the schedule management of the air conditioning equipment cannot cope with fluctuations outside the schedule, and is not necessarily an air conditioning control that matches the actual situation. Furthermore, the control of air conditioning equipment linked to the entrance / exit management of each room is very expensive to configure the entrance / exit management system, and the occupants must be checked each time they enter / exit. It becomes a burden.

  In addition, a system that estimates the amount of human traffic based on elevator operation information and scale data in a building and reflects it in the air conditioning control enables air conditioning management that matches the number of people in the floor. However, since the estimation of the number of people in the room based on the elevator scale data is based on the load, not the number of persons, there is a large error in the estimated value. Further, when a load is carried into the elevator car, an error occurs in the estimated value. In addition, these errors are accumulated every time the elevator stops, and there is a risk that air conditioning control that does not match the actual situation may be performed.

  An object of the present application is to solve such a problem and provide an indoor air conditioning management system that performs effective air conditioning management by simply estimating the number of people in each floor in the building.

  In order to achieve the above object, a building air conditioning management system according to the present invention is a building air conditioning management system that manages air conditioning equipment on each floor of a building, manages the visitors to and exits the building, Building occupant detection means for calculating the number of occupants, car occupant detection means for detecting the number of passengers at each stop floor of the elevator car by performing image analysis processing on images in the elevator car, and building occupants Based on the number of occupants calculated by the calculation means, the number of occupants estimation means for estimating the number of occupants per floor from the number of passengers at each stop floor detected by the car occupant detection means, and for each floor The air conditioning management unit that controls the air conditioning equipment and the air conditioning equipment control unit that controls the air conditioning equipment are set, and the air conditioning management unit estimates the number of people in the room. Set the air conditioning target based on the number of people in the room and Characterized by instructing the control of the air conditioning equipment to the installation control.

  The building air-conditioning management system further includes a occupant number storage unit that stores the history of the occupant number estimated by the occupant number estimation unit for each floor, and the air conditioning management unit includes the occupant number storage unit. Extracts the daily fluctuation pattern of the number of occupants per floor stored for a certain period and creates a daily air conditioning person fluctuation model, and sets the air conditioning person from the air conditioning person fluctuation model It is preferable.

  In the building air conditioning management system, the air conditioning management unit extracts the daily fluctuation pattern of the number of occupants per floor stored by the occupancy number storage means for each weekday and public holiday for a certain period. It is preferable to create an air conditioning subject fluctuation model for each weekday and public holiday and set the air conditioning subject from the air conditioning subject fluctuation model.

  In the building air-conditioning management system, the air-conditioning management unit compares the number of occupants estimated by the occupant number estimating means with the air-conditioning target person set based on the air-conditioning target person variation model, and the difference is When the set value is exceeded, it is preferable to set the number of occupants estimated by the occupant number estimation means as the air conditioning target person for the air conditioning equipment control unit.

  The building air conditioning management system also includes car weight detection means for measuring the amount of change in the weight of the elevator car before and after getting on and off the stop floor, and the occupant number estimating means The number of passengers detected by the car weight detecting means is compared, and if the difference exceeds the set value, the number of passengers in each floor in consideration of the number of passengers detected by the car weight detecting means It is preferable to estimate the number.

  In the building air conditioning management system, the building occupant calculating means notifies the occupant number estimating means that the package has been brought into the building, and the occupant number estimating means is the car occupant detecting means. The amount of change in the weight of the car measured by the car weight detection means before and after the stop floor where the boarding / alighting of the car was detected was calculated by detecting the boarding / alighting of the car with the luggage on the elevator car. It is preferable to correct in consideration.

  In addition, in the building air conditioning management system, the occupancy estimation means subtracts the total number of occupants by adding the estimated number of occupants on each floor from the number of occupants calculated by the building occupant calculation means. However, when the number of persons exceeds the set value, it is preferable to correct the number of people on the lower floors by assuming that the visitors to the building have entered the room using stairs.

  In the building air conditioning management system, the occupant number estimating means subtracts the number of occupants calculated by the building occupant calculating means from the total number of occupants estimated from the estimated number of occupants on each floor. When the number of persons exceeds the set value, it is preferable to correct the number of people in the lower floors by assuming that the person leaving the building has left the room using the stairs.

  In the building air conditioning management system, the car passenger detection means preferably detects the number of passengers from the elevator car from an image taken by a security camera provided in the elevator car.

  Further, in the building air conditioning management system, the car passenger detection means preferably detects the number of passengers in the elevator car from the movement of each point in two images whose photographing times differ by a predetermined time.

  As described above, according to the indoor air-conditioning management system according to the present invention, first, the number of people in the building is calculated by the building resident calculation means by managing the visitors to and from the building. As a result, the total number of people in each floor of the building can be determined. The number of passengers at each stop floor of the elevator car is detected by image processing from the image in the elevator car by the car passenger detection means. Thereby, the passengers on the elevator stop floor can be grasped as the number of persons. Based on such information, the occupant number estimating means can estimate the occupant number for each floor. Furthermore, based on the estimated number of occupants, the air conditioning management unit sets an air conditioning target person, and the air conditioning equipment control unit can perform energy saving air conditioning control from the set air conditioning target person.

  With the above configuration, the building air conditioning management system can perform effective air conditioning management by simply estimating the number of people in each floor in the building.

  Hereinafter, embodiments of a building air conditioning management system according to the present invention will be described in detail with reference to the drawings.

  FIG. 1 shows a schematic configuration of one embodiment of a building air conditioning management system. The building air-conditioning management system 1 includes a building occupant calculation means 2, a car occupant detection means 3, a occupant number estimation means 4, a occupant number storage means 5, an air conditioning management section 6, an air conditioning equipment control section 7, And car weight detecting means 8. The office building 14 which is a building is provided with an entrance 11, an elevator car 9 that moves up and down in the elevator hoistway 13, an elevator machine room 12, and an air conditioner 10 installed on each floor. A security camera 21 is installed in the elevator car 9.

  The building occupant calculation means 2 manages the number of people entering and leaving the office building at the entrance 11 of the office building 14 and calculates the number of people resident. Visitors and exits to the office building 14 are mainly employees and outpatients of the company in the office building 14. Employees of the company are checked when entering and leaving the office building 14 by means of personal identification such as an ID card. In addition, the visitor receives a check at the reception and enters and leaves with personal identification means such as a name tag indicating the visitor. The management method of those who enter and leave these office buildings 14 varies depending on the office building, but is generally implemented in order to ensure security. Accordingly, the building occupant calculating means 2 can automatically grasp and calculate the number of resident persons in the office building 14 by checking the company employees and foreigners at the entrance 11.

  The car passenger detection means 3 detects the number of passengers at each stop floor of the elevator car 9 from the camera image displayed on the security camera 21 installed in the elevator car 9 by image analysis processing. FIG. 2 shows a system configuration of the car passenger detection means 3. The car passenger detection means 3 includes a door opening / closing determination unit 15, an image processing control unit 16, an image recording unit 17, a passenger pattern storage unit 18, a movement determination unit 19, and a passenger number calculation unit 20.

  The door open / close determining unit 15 detects the open / closed state of the open / close door 23 using, for example, an open / close sensor. That is, the door open / close determination unit 15 detects that the open / close door 23 is open by receiving a signal from the open / close detector 24 that the elevator car 9 has arrived at the stop floor and the open / close door 23 has been opened. Moreover, it detects that the opening / closing door 23 is in a closed state by receiving a signal indicating that passengers are getting on and off and the opening / closing door 23 is closed. The door open / close determining unit 15 notifies the image processing control unit 16 of the open / closed state of the open / close door 23. While the opening / closing door 23 is opened and closed, the image processing control unit 16 causes the security camera 21 provided in the upper part of the elevator car 9 to photograph the interior of the elevator car 9 and transmits the image to the image recording unit 17. The security camera 21 is installed in the vicinity of the rear ceiling in the elevator car 9. The security camera 21 has a viewing angle of, for example, about 70 to 80 degrees, and the range of the angle is set to include the elevator hall.

  The image recording unit 17 records the transmitted image. The image processing control unit 16 extracts two images whose shooting times are different by a predetermined time from the images transmitted and recorded to the image recording unit 17 and causes the motion determination unit 19 to determine the movement of the passenger. For example, when two images having different shooting times by a predetermined time are shot in the NTSC system using a video camera, shooting is performed every 1/30 seconds. In this case, the two images that differ only by a predetermined time can be two consecutive images, but every 1/10 second by thinning the middle image or changing the shooting interval. Or every second. In general, when getting on and off the elevator car 9, priority is given to those who get off, so there is a time lag between passenger getting off and boarding. Therefore, the time from when the open / close door 23 is opened to when it is closed may be divided at regular intervals, and two consecutive images may be taken at each division.

  In FIG. 3, the determination method of the passenger's motion by the motion determination part 19 is shown. FIG. 3A shows a case where the door 23 is opened and passengers in the elevator car 9 get off, and FIG. 3B shows a landing on the stop floor of the elevator car 9 after the passengers in the elevator car 9 get off. Will be shown when the passengers in the elevator car 9 get on the elevator car 9. The motion determination unit 19 detects the position, orientation, and magnitude of the motion of each point in the image from two images that differ in shooting time by a predetermined time. The single circle in FIG. 3 indicates the position of the passenger immediately after the opening / closing door 23 of the elevator car 9 is opened, the double circle indicates the position after the passenger has moved, and the arrow indicates the movement by a vector. .

  The movement determination unit 19 picks up the movement of the passenger toward the door 23 from the inside of the elevator car 9 at the time shown in FIG. 3 (a), and determines that the person gets off the elevator car 9 from the position and size. To do. For example, in FIG. 3 (a), passenger a, passenger b, and passenger c are about to get off. When two consecutive images are superimposed, as shown in FIG. 3 (a), for example, passenger a The position, direction, and magnitude of the movement can be detected by an arrow connecting the positions a ′ and connecting them. Further, at the time shown in FIG. 3B, the movement direction of the passenger picks up the movement from the opening / closing door 23 toward the inside of the elevator car 9, and is determined to be a person who gets on the elevator car 9 from the position and size. . For example, in FIG. 3B, a passenger d, a passenger e, and a passenger f are about to get on. When two consecutive images are superimposed, for example, as shown in FIG. The position, direction, and magnitude of the movement can be detected by an arrow connecting the positions d ′ and connecting them. In the determination of the movement of the passenger, the determination may be made by paying attention to the movement at the position where the passenger gets over the door 23.

  The boarding / alighting pattern storage unit 18 stores the movements of passengers in a pattern when the passengers get on and off the elevator car 9 in order to improve the calculation accuracy of the number of passengers by the car passenger detection means 3. That is, a passenger's boarding / exiting trajectory while the door 23 of the elevator car 9 is opened and closed is analyzed and patterned in advance. This is because, for example, when the elevator car 9 is full, when it is vacant, when it is unattended, the passengers get on and off differently.

  For example, when the elevator car 9 is full, a person getting off the elevator car 9 is often located near the door 23, and the movement of the passenger in the elevator car 9 is difficult to determine. Also, a person who rides in the elevator car 9 often stays near the open / close door 23 after boarding, and the movement of the boarding in the elevator car 9 is small and difficult to determine. Also, a person who gets off the elevator car 9 and does not get off may move in a manner similar to that of getting off, and an error is likely to occur. On the other hand, when the elevator car 9 is vacant, the movement of the person getting off and the person getting on is relatively large and easy to determine. Further, when the elevator car 9 is unmanned, only the person who gets on the vehicle is judged. Therefore, the boarding / alighting pattern storage unit 18 patterns standard boarding / alighting movements using the number of passengers in the elevator car 9, the number of people getting off, and the number of people getting on as parameters. Then, when determining the movement of the passenger, the movement determination unit 19 searches for a pattern similar to the patterned movement of the passenger stored in the passenger pattern storage unit 18. When the difference between the number of passengers calculated by the number of passengers calculating unit 20 and the number of passengers in the corresponding pattern exceeds the set value, the image processing control unit 16 again sends the motion determination unit 19 to the motion determination unit 19. The determination may be made by reviewing the movement of the passenger.

  The number of passengers calculating unit 20 calculates the number of people who get on and the number of people who get off as determined by the movement determining unit 19. Then, the number of passengers on that floor is calculated for each stop floor. That is, a number (AB) obtained by subtracting the number (B) of getting on the floor from the number of getting off (A) on the floor is calculated every time the elevator car 9 stops on the floor. The car passenger detection unit 3 notifies the occupant number estimation unit 4 of the number of passengers at each stop floor calculated by the passenger number calculation unit 20.

  The occupant number estimating means 4 is based on the number of occupants on each stop floor detected by the car occupant detecting means 3 based on the number of occupants calculated by the building occupant calculating means 2. Estimate the number. For example, the total number of occupants calculated by adding the estimated number of occupants per floor is compared with the number of occupants calculated by the building occupant calculating means 2. The occupant number estimating means 4 subtracts the estimated number of occupants on each floor from the number of occupants calculated by the building occupant calculating means 2, and the number of persons exceeds the set value. The number of people on the lower floor is corrected based on the assumption that a visitor to the office building 14 has entered the room using the stairs. That is, on the lower floors, the stairs may be used without entering the elevator when entering the room, and this may appear as an error. The occupant number estimating means 4 subtracts the number of occupants calculated by the building occupant calculating means 2 from the estimated number of occupants on each floor, and the number of persons exceeds the set value. Estimates that the person leaving the office building 14 has left the room using the stairs, and corrects the number of people on the lower floors. That is, on the lower floors, the stairs may be used without leaving the elevator when leaving, and this may appear as an error. The occupant number storage unit 5 stores the history of the occupant number estimated by the occupant number estimation unit 4 for each floor.

  The air conditioning management unit 6 extracts a daily fluctuation pattern of the number of occupants for each floor stored in the occupant number storage means 5 over a certain period, and creates a daily air conditioning subject fluctuation model, The air conditioning target person is set from the air conditioning target person variation model. As a variable factor of the number of people on each floor of the office building 14, if the number of employees fluctuates due to changes in the company's work style, etc., if the number of employees in the room fluctuates due to personnel changes of the company, leaving or leaving the company There are cases where the time fluctuates due to seasonal factors, or the number of remaining workers fluctuates due to changes in the business volume of the company. However, the number of people in each floor of the office building 14 does not vary so much within a certain period, for example, one week or one month. Therefore, the air-conditioning management unit 6 extracts a daily fluctuation pattern of the number of occupants in a certain period on the floor and creates a daily air-conditioning person fluctuation model. The fluctuation of the number of people in the room is estimated, and it is predicted as a person to be air-conditioned.

  FIG. 4 shows one example of the daily fluctuation pattern of the number of people in the room. FIG. 4 is a graph in which the horizontal axis indicates the time of the day and the vertical axis indicates the number of people in the room at that time. In FIG. 4, the number of enrolled persons is displayed at intervals of 15 minutes. FIG. 5 shows one example of the daily air conditioning subject fluctuation model extracted by the air conditioning management unit 6. This is a predicted value obtained by averaging the fluctuation pattern from Monday to Friday as an example of the air conditioning subject fluctuation model.

  The air-conditioning management unit 6 may extract the fluctuation pattern stored in the occupant number storage unit 5 for each weekday and public holiday over a certain period and create an air-conditioning target person fluctuation model for each day of the week. This is characterized by the fluctuation pattern of the number of employees on weekdays depending on the company. In addition, the fluctuation pattern of the number of people on holidays is different from that on weekdays. In that case, the predicted value for each weekday and public holiday can be obtained with higher accuracy than the predicted value averaged regardless of the day of the week. In addition, the air conditioning management unit 6 takes out, for example, the daily fluctuation pattern of the number of occupants for the past three weeks stored in the occupant number storage unit 5 for a certain day of the week, It may be modeled. Thereby, it becomes possible to predict the fluctuation pattern for each day of the weekday and public holiday.

  Thus, the method of deriving and applying the predicted value of the air-conditioning target person fluctuation model from the fluctuation pattern stored in the occupancy number storage means 5 is a fixed period such as one week or one month. Then, it is established on the assumption that it does not fluctuate so much. However, the number of people in the room may change greatly when there is a change in the organization or personnel system of the company. In addition, there is a case where a different work from a normal work is temporarily performed on the floor and the number of people in the room temporarily fluctuates greatly. In order to cope with the fluctuation of the occupants, the air conditioning management unit 6 compares the number of occupants estimated by the occupant number estimating means 4 with the air conditioned persons set based on the air conditioner fluctuation model. When the difference exceeds the set value, the air conditioning equipment control unit 7 is instructed to set the number of occupants estimated by the occupant number estimating means 4 as the air conditioning target person. That is, when the estimated number of occupants differs significantly from the air conditioning target person based on the air conditioning target person variation model, the air conditioning is switched to the air conditioning according to the estimated number of occupants.

  The air conditioning management unit 6 manages the air conditioning equipment 10 by setting a person to be air-conditioned for each floor by the above-described method. That is, the air-conditioning management unit 6 sets the air-conditioning target person from the created air-conditioning target person variation model or the number of occupants estimated by the occupant number estimating means 4, and sets it for the air-conditioning equipment control unit 7 on each floor. The air conditioning facility 10 is instructed to be controlled by the air conditioning subject. The air-conditioning management unit 6 can perform energy-saving air conditioning by switching the temperature setting of the air-conditioning equipment 10 on the premise of a person who is subject to air-conditioning in that time of day.

  The car weight detection means 8 measures the amount of change in the weight in the elevator car 9 before and after getting on and off at each stop floor. This measurement method is a method disclosed in Patent Document 1. That is, before and after the elevator car 9 stops at each stop floor, the amount of change in the weight of the elevator car 9 is detected, and this is divided by a preset converted weight per person to estimate the number of passengers. .

  The occupant number estimating means 4 compares the estimated number of occupants with the number of passengers detected by the car weight detecting means 8, and if the difference exceeds a set value, the car weight detecting means In consideration of the number of passengers detected by No. 8, the number of occupants per floor is estimated. This is because a large error may occur in the number of passengers at each stop floor detected by the car passenger detection means 3 through image analysis processing of the images in the elevator car 9. For example, when the elevator car 9 is full and many passengers get on and off at a certain stop floor, the trajectory of passengers may be intertwined in a complicated manner, and the accuracy of determination by the motion determination unit 19 may decrease. It is. In this case, there is a possibility that the accuracy of the number of passengers detected by the car weight detection means 8 may be higher, and the occupant number estimation means 4 uses the number of passengers detected by the car weight detection means 8. Can be corrected.

  However, in order to estimate the passengers by the car weight detection means 8, the weight of the luggage other than the passengers, for example, carried by the carriage, becomes an error. Therefore, the building occupant calculating means 2 notifies the occupant number estimating means 4 when the parcel is loaded into the office building 14. The notified occupancy number estimation means 4 causes the car occupant detection means 3 to detect the getting on / off of the carriage with the load on the image in the elevator car 9 before and after the stop floor where the getting on / off of the carriage is detected. The change in the weight in the car measured by the car weight detecting means 8 is corrected in consideration of the weight of the carriage. Thereby, the error due to the weight of the load can be reduced from the number of passengers estimated by the car weight detecting means 8.

It is a system configuration figure showing a schematic structure of one embodiment about a building air-conditioning management system concerning the present invention. It is a system block diagram of a car passenger detection means. It is explanatory drawing which shows the determination method of a passenger's motion by a motion determination part. It is explanatory drawing which shows one example of the daily fluctuation pattern of the number of people in a room. It is explanatory drawing which shows one example of the one day air conditioning object person variation model extracted by the air-conditioning management part.

Explanation of symbols

  1 indoor air conditioning management system, 2 building occupant calculation means, 3 car occupant detection means, 4 occupant number estimation means, 5 occupant number storage means, 6 air conditioning management section, 7 air conditioning equipment control section, 8 Car weight detection means, 9 elevator car, 10 air conditioning equipment, 11 entrance, 12 elevator machine room, 13 elevator hoistway, 14 office building (building), 15 door open / close determination unit, 16 image processing control unit, 17 image recording unit, 18 boarding / exiting pattern storage unit, 19 motion judging unit, 20 boarding / exiting number calculating unit, 21 security camera, 23 door, 24 open / close detector.

Claims (8)

An indoor air conditioning management system for managing air conditioning equipment on each floor of the building,
Building occupant calculating means for managing the number of visitors and visitors to the building and calculating the number of resident persons;
Car occupant detection means for detecting the number of passengers at each stop floor of the elevator car by performing image analysis processing on images in the elevator car;
Based on the number of occupants calculated by the building occupant calculating means, the occupant number estimating means for estimating the number of occupants per floor from the number of passengers at each stop floor detected by the car occupant detecting means; ,
For each floor, set the air conditioning target person on that floor and manage the air conditioning equipment,
An air conditioning equipment control unit for controlling the air conditioning equipment;
The occupant number storage means for storing the history of the occupant number estimated by the occupant number estimation means for each floor,
With
The air conditioning management unit extracts a daily fluctuation pattern of the number of occupants for each floor stored in the occupancy number storage means over a certain period, averages those patterns, and is subject to the daily air conditioning. Create a fluctuation model, set the air conditioning target person from the air conditioning target person fluctuation model, instruct the air conditioning equipment control unit to control the air conditioning equipment,
In addition, the air conditioning management unit compares the number of occupants estimated by the occupant number estimating means with the air conditioning target person set based on the air conditioning target person variation model, and when the difference exceeds the set value Sets the number of occupants estimated by the occupant number estimation means to the air conditioning equipment control unit as the air conditioning target person,
An indoor air conditioning management system characterized by this.   2. The indoor air conditioning management system according to claim 1, wherein the air conditioning management unit sets the daily fluctuation pattern of the number of occupants per floor stored by the occupant number storage means over a certain period on weekdays and holidays. A building air-conditioning management system characterized in that an air-conditioning target person fluctuation model is created for each weekday and public holiday, and an air-conditioning target person is set from the air-conditioning target person fluctuation model. The indoor air conditioning management system according to claim 1 or 2 , further comprising car weight detection means for measuring a change in weight in the elevator car before and after getting on and off at the stop floor, If the difference exceeds the set value, consider the number of passengers detected by the car weight detection means. An indoor air-conditioning management system that estimates the number of people in each floor. The building air-conditioning management system according to claim 3 , wherein the building occupant calculating means notifies the occupant number estimating means that the luggage has been carried into the building, and the occupant number estimating means comprises: The amount of change in the weight of the car measured by the car weight detecting means before and after the stop floor where the boarding / exiting of the car was detected is detected from the image in the elevator car. A building air conditioning management system that corrects the weight of the cart in consideration of the weight. In building air conditioning management system according to any one of claims 1 to 4, occupants number estimating means, from building standing field's calculation means standing places The number was calculated, occupants number that each floor estimate If the total number of people in the building is subtracted and the number of people exceeds the set value, the number of people in the lower floors is assumed to have entered the building using the stairs. A building air conditioning management system characterized by correcting 6. The building air conditioning management system according to any one of claims 1 to 5 , wherein the occupant number estimating means is a building occupant calculating means based on the total number of occupants in the estimated number of occupants on each floor. Subtract the number of people calculated by the above, and if the number of people exceeds the set value, the number of people on the lower floors is estimated by assuming that the person leaving the building has left the stairs. A building air conditioning management system characterized by correction. The building air conditioning management system according to any one of claims 1 to 6 , wherein the car passenger detection means detects the number of passengers from the elevator car from an image taken by a security camera provided in the elevator car. An indoor air conditioning management system characterized by this. 8. The indoor air conditioning management system according to claim 7 , wherein the car occupant detection means detects the number of passengers in the elevator car from the movement of each point in two images whose photographing times differ by a predetermined time. An air conditioning management system for buildings.

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