Building facility control system and building facility control method

Abstract

To provide a building facility control system and a building facility control method capable of efficiently controlling building facilities in consideration of energy saving and comfort.SOLUTION: A building facility control system according to the present invention includes: identification means for identifying an attribute of an area on the basis of the number of people occupying the area within the building, in a building facility control system that controls air conditioning and lighting facilities in an area within a building; grasping means for grasping the activity state of the occupants on the basis of the identified attributes and the number of occupants; and parameter creation means for creating control parameters for the air conditioning and lighting facilities on the basis of the attributes and the activity state of the area.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present invention relates to a building facility control system and a building facility control method. [Background technology]

[0002] In recent years, the diversity of floor activity has increased, with an increase in hybrid work that combines working in the office with remote work, and the introduction of ABW (Activity Based Working) offices. It is therefore desirable to grasp this information and operate building facilities appropriately.

[0003] Patent document 1 discloses a technology that determines the air conditioning zone based on the meeting schedule (≒ event) and determines whether to operate in normal mode (when the number of participants is large) or in energy-saving mode (when the number of participants is small) based on the number of participants in the meeting.

[0004] Patent Document 2 discloses a technology that estimates the number of people in a room by time period and controls air conditioning equipment based on the daily fluctuation pattern of the number of people, and switches the temperature setting based on the estimated number of people. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Publication No. 2020-135313 [Patent Document 2] Japanese Patent Application Laid-Open No. 2008-298353 Summary of the Invention [Problem to be solved by the invention]

[0006] However, it is desirable to further improve energy conservation and comfort depending on the activity status of each area of ​​the office building.

[0007] An object of the present invention is to provide an efficient building facility control system and building facility control method that take into consideration energy saving and comfort in accordance with the state of activity within each area of ​​an office building. [Means for solving the problem]

[0008] The building equipment control system of the present invention is a building equipment control system that controls air conditioning and lighting equipment in an area within a building, and is characterized by comprising an identification means for identifying the attributes of an area based on the number of people occupying the area within the building, a grasping means for grasping the activity status of the occupants based on the identified attributes and the number of people occupying the area, and a parameter creation means for creating control parameters for the air conditioning and lighting equipment based on the attributes and the activity status of the area.

[0009] Alternatively, the building equipment control method of the present invention is a building equipment control method for controlling air conditioning and lighting equipment in an area within a building, characterized in that it includes a step of identifying the attributes of the area based on the number of people occupying the area within the building, a step of understanding the activity status of the occupants based on the identified attributes and the number of people occupying the area, and a step of creating control parameters for the air conditioning and lighting equipment based on the attributes and the activity status of the area. [Effects of the Invention]

[0010] According to the present invention, it is possible to provide an efficient building facility control system and building facility control method that take into consideration energy saving and comfort according to the activity status inside each area of ​​an office building. [Brief explanation of the drawings]

[0011] [Figure 1] 10 shows a flowchart of a process for creating a control schedule for equipment. [Figure 2] 10 shows a flowchart for a process of setting an operation policy. [Figure 3] 1 shows an example of the configuration of a building facility control system according to this embodiment. [Figure 4] An example of an operational policy for equipment control in a non-office floor / area is shown below. [Figure 5] 10 shows a flowchart of a process for creating a control schedule for a reference facility. [Figure 6] An example of data on floor activity events and occurrence times is shown below. [Figure 7] 1 shows an example of a floor activity schedule. [Figure 8] 10 shows a flowchart of the control execution process for the equipment on the day of control. [Figure 9] 10 shows a flowchart of the control process for the equipment control execution process on the control day in the case of a non-office type. [Figure 10] This shows a flowchart for creating an air conditioning temperature setting schedule that takes into account comfort and energy savings according to activity levels. [Figure 11] This shows a flowchart for setting the temperature setting conditions for air conditioning, taking into consideration ensuring comfort using a comfort index and saving energy. [Figure 12] 10 shows an example of calculation parameter setting data for calculating a comfort index. [Figure 13] 10 shows an example of calculation parameter setting data for calculating a comfort index. [Figure 14] An example of the calculation results of the air conditioning temperature setting range based on comfort requirements is shown below. [Figure 15] An example of function data that outputs the air conditioning temperature setting for the number of people in a target floor / area is shown below. [Figure 16] 10 shows a flowchart for creating an air conditioning temperature setting schedule based on an operational policy. [Figure 17] An example of an air conditioning temperature setting schedule based on an operational policy is shown for an office. [Figure 18] An example of an air conditioning temperature setting schedule based on an operational policy is shown for a non-office type. [Figure 19] 1 shows the overall system configuration involving a building management system according to this embodiment. [Figure 20] Examples of the number of people entering, leaving, and staying on a floor are shown below. DETAILED DESCRIPTION OF THE INVENTION

[0012] An embodiment of the spectroscopic measurement device of the present invention will be described below with reference to the drawings. In this embodiment, the activity state of each floor in a building is identified using time-series data on the number of people occupying each floor as an example of each area, and the equipment is efficiently controlled based on the information on the activity state. In particular, central air conditioning in large office buildings operates on a schedule of start / stop and temperature setting adjustment, and this operation schedule is controlled by issuing commands from the building management control side. The equipment to be controlled includes the central air conditioning and lighting. [Example]

[0013] The building control according to this embodiment is configured to allow the setting and selection of a comfort-priority control mode or an energy-saving-priority control mode according to the activity status. It is also configured to allow the setting of the air conditioning temperature setting range based on PMV (Perfect Manner Value). In the energy-saving-priority control mode, the set temperature is adjusted within the air conditioning temperature setting range according to the number of people. Figure 3 shows an example of the configuration of a building equipment control system according to this embodiment.

[0014] As shown in FIG. 3, the building control of this embodiment includes a detection means 1 for detecting the number of people entering, leaving, and present in a room, a floor attribute identification means 2, a recognition means 3 for estimating and recognizing floor activity states, a control policy setting means 4 for setting control policies, a control schedule creation means 5 for creating a control schedule based on floor attributes and activity states, a control parameter creation means 6 (set temperature, set illuminance) according to the activity states of the floor, and an air conditioning and lighting equipment control means 7.

[0015] In this embodiment, depending on the floor configuration, there may be multiple areas on one floor, or one floor may correspond to one area. Also, depending on the building configuration, an area may span multiple floors. In the explanation of this embodiment, the explanation will be centered on the floor as an example of an area, and will be given as a floor or an area.

[0016] This embodiment describes equipment control based on floor activity status. In this embodiment, air conditioning and lighting control are described as examples of equipment control. Here, air conditioning includes temperature, humidity, and other items that can be centrally controlled. Lighting includes illuminance and other items that can be controlled. At least one of these control targets is controlled. The inputs for this control process are elevator operation data, data from the access control device, and data from the people counting sensor, and the final output is a control schedule for starting / stopping air conditioning on each floor and setting the temperature.

[0017] The flow of these control processes is explained below. First, elevator operation data is input and at least data on the number of people on each floor is calculated. It is desirable to also have data on the number of people entering and leaving the room. Next, the floor's characteristics are classified as "office" or "non-office." Next, floor activity events (start of work, lunch break, end of work, etc.) are identified, a timetable of their occurrence times is created, and the floor's activity time schedule is estimated. Based on the estimated floor activity time schedule, an air conditioning control schedule that takes comfort and energy conservation into consideration is created according to the floor's activity status and number of people. The process consists of a base planning process, which is the main part, and real-time processing based on the data for the current day. The real-time processing is the same as the base planning process, and adjustments are made using data on the number of people on the floor for the current day.

[0018] The calculation of the number of people entering, leaving, and remaining on a floor can be done by obtaining data on the number of people boarding and alighting, call floors, and call floors on each floor from elevator operation data, and using this data to calculate the number of people entering and leaving on each floor. The number of people remaining can be calculated from the integrated value of the difference. The detection means 1 is preferably at least one of an elevator device installed in the building, an elevator control system, an access control device installed on a floor or area within the building, and a people counting sensor installed on a floor or area of ​​the target building. Using multiple devices improves accuracy.

[0019] The floor attribute is identified by an attribute identification means 2, which determines whether the floor is an office type or a non-office type based on the shape characteristics of the number of people entering, leaving, and occupancy data, particularly the occupancy data. It is desirable that this identification means 2 identify the attribute as office or non-office using at least one of the time series data of the number of people entering, leaving, and occupancy. For office types, the activity state of the floor is identified by an activity state identification means 3, and equipment control is carried out. For non-office types, control is carried out by adjusting the air conditioning temperature according to the number of people occupying the floor.

[0020] To identify floor activity events, we focus on office-specific floor activities for floors that have been identified as office-type in the floor attribute identification, and identify the activity events. First, we extract the main activity events for the target floor. We then normalize the number of people entering and leaving the floor, which serve as feature quantities, to eliminate the influence of the number of people. Next, we identify activity events based on the characteristics of the number of people entering and leaving the floor, dividing them into morning (0:00-11:00), daytime (11:00-14:00), and afternoon (14:00-24:00) time periods.

[0021] Here, for example, the start of work is a data element in which the number of people entering a floor during assembly is the largest, satisfying the condition that the number of people entering > the number of people leaving in the morning time slot. The start of lunch break is a data element in which the number of people leaving a floor within the activity area during assembly is the largest, satisfying the condition that the number of people leaving > the number of people entering in the daytime slot. The end of lunch break is a data element in which the number of people entering a floor during assembly is the largest, satisfying the condition that the number of people entering > the number of people leaving in the daytime slot. The end of work is a data element in which the number of people leaving a floor during assembly is the largest, satisfying the condition that the number of people leaving > the number of people entering in the afternoon time slot.

[0022] A timetable for each activity event is created from the occurrence times of the activity events identified above, and a time schedule for the activity state of each floor is created based on this. This time schedule of activity state is data that estimates the activity state on the time axis of each floor, and can be used as a basis for efficient control of equipment such as air conditioning. Efficient control is possible by identifying each activity event of the start of work, the start of lunch break, the end of lunch break, and the end of work based on the characteristics of the number of people entering and leaving the floor.

[0023] The floor activity time schedule is created from a timetable of floor activity events based on the occurrence times of floor activity events. The floor activity time includes pre-work hours, morning work hours, lunch break, afternoon work hours, and overtime hours.

[0024] Figure 1 shows a flowchart for the process of creating an equipment control schedule. This shows examples of online and offline. The schedule is created by the control schedule creation means 5. As an initial process, an equipment control operational policy for the activity status of the floor / area is set. As an offline control schedule creation process (performed in advance), it is determined whether it is time to create / update an equipment control schedule (standard) for each target floor / area in the building (every three months, for example). If the answer is NO, the creation of the control schedule is complete. If the answer is YES, an equipment control schedule (standard) is created for each target floor / area in the building based on the floor / area attributes and equipment control operational policy, and the creation of the control schedule is complete.

[0025] Next, the online control execution process for the day (carried out on the day (24 hours)) determines whether control for that day has begun for each target floor / area in the building. If NO, return to this step. If YES, execute equipment control for each target floor / area in the building based on the floor / area attributes and equipment control operation policy. Next, determine whether control for each target floor / area for that day (24 hours) has ended. If NO, return to the execution of the equipment control described above. If YES, end.

[0026] Figure 2 shows a flowchart for the process of setting an operational policy. A loop process is started for the set of floors / areas to be managed. Next, it is determined whether the operational policy for equipment control for the activity state has not been set for the target floor / area or whether it is time to update it. If NO, the process ends. If YES, it is determined whether there is identification data for the floor / area attributes for the target floor / area. If YES, the identification data for the floor / area attributes for the target floor / area is obtained. If NO, the floor / area attributes are identified (identifying whether it is office type or non-office type) and the identification data is obtained.

[0027] Next, determine whether the target floor / area attribute is office type. If YES (office type), set an operational policy for equipment control for each activity state of the office type floor / area. For example, prioritize comfort during morning and afternoon work hours. Operate the stator at a comfortable set temperature. During other times (work before work starts, lunch break, overtime work, etc.), prioritize energy conservation while maintaining comfort. Set and control the air conditioning temperature according to the number of people occupying the room. Alternatively, as control method A, you can calculate and set the air conditioning temperature using a function based on the number of people occupying the room measured that day (real-time value). Alternatively, as control method B, you can apply a set temperature schedule created offline.

[0028] As shown in Figure 4, in the case of NO (non-office type), an operational policy for equipment control for non-office type is set. For example, emphasis is placed on energy conservation while maintaining comfort. The air conditioning temperature is set (all day) according to the number of people in the room and controlled. Alternatively, as control method A, the air conditioning temperature may be calculated and set using a function based on the number of people in the room measured that day (real-time value). As control method B, control may be performed according to a set temperature schedule created offline or a pre-set schedule. Next, it is determined whether all floors / areas under management have been processed. If YES, the loop processing for the set of floors / areas under management is terminated. If NO, the next floor / area is set and the process returns to the step of determining whether the operation policy has not been set or whether it is time to update it.

[0029] Figure 5 shows a flowchart for the process of creating an equipment control schedule. This is an offline example. An operational policy for equipment control is set for the activity status of floors / areas. Then, a loop process is started for the set of floors / areas to be managed. Next, time series data (for the past three months, etc.) of the number of people entering and leaving the target floor / area is obtained, as shown in Figure 20. Next, time series data of the number of people occupying the floor / area is calculated.

[0030] Next, the floor / area attribute is identified (office type or non-office type). If YES (office type), activity events for office type floors are identified as shown in Figure 6. Then, as shown in Figure 7, a time schedule for the floor's activity state is estimated based on the occurrence time of the floor's activity event, and an equipment control schedule (standard) is created based on the floor's activity state and the number of occupants based on the equipment control operation policy, and a determination is made as to whether all managed floors / areas have been processed. If the attribute is office, it is desirable to create a control schedule in which control parameters for the air conditioning and lighting equipment are set for each time period of occupant activity. If NO (non-office type), an equipment control schedule (standard) based on the number of occupants is created, and a determination is made as to whether all managed floors / areas have been processed. If YES is obtained based on whether all managed floors / areas have been processed, the loop processing for the managed floor / area set is terminated. If NO, the processing returns to the start of the loop Figure 8 shows a flowchart for the equipment control execution process on the day of control. This is the case when the process is carried out online (in real time on the day of control). First, a loop process is started for the set of floors / areas to be managed. Then, information on the identification results of the target floor / area's attributes is obtained, and the equipment control schedule (standard) for the target floor / area is obtained, as shown in Figures 17 and 18. Next, measurement data (time-series data) of the number of people entering and leaving the target floor / area is obtained. Next, time-series data of the number of people occupying the floor / area is calculated.

[0031] Next, it determines whether the attribute of the target floor / area is office type. If it is YES (office type), it obtains the control conditions for that time from the equipment control schedule (standard). If it is NO (non-office type), it executes the control processing for that day for non-office type equipment and transmits control commands based on the control conditions and control parameters to the equipment on the target floor / area. The control conditions for that time are obtained from the equipment's control schedule (standard), and it is determined whether the control conditions for that time are to implement control based on the number of people occupying the room. If YES, the control parameter creation means 6 calculates the control parameters for the equipment based on the number of people occupying the room at that time or the immediately preceding time, and transmits a control command based on the control conditions and control parameters to the equipment in question on the target floor / area. If the time falls within the time range for setting control parameters based on the number of people occupying the room using the control schedule, it is desirable to set the control parameters based on the number of people occupying the room at that time. If NO, the control conditions for that time in the control schedule (standard) are set, and a control command based on the control conditions and control parameters is transmitted to the equipment in question on the target floor / area.

[0032] Next, it is determined whether all floors / areas under management have been processed. If YES, the loop processing for the set of floors / areas under management ends. If NO, the next floor / area is set and the loop processing returns.

[0033] Figure 9 shows a flowchart of the control process for non-office equipment control execution on the day of control. This is the case when the control process is performed online (in real time on the day of control). The target floor / area (non-office type) is determined to be controlled according to a preset equipment control schedule (standard). If YES, the control conditions for the relevant time are set based on the equipment control schedule (standard) as shown in Figure 18. If NO, the control parameter creation means 6 calculates the equipment control parameters based on the number of people in the room at the relevant time or the immediately preceding time.

[0034] Fig. 10 shows a flowchart for creating an air conditioning temperature setting schedule that takes into account comfort and energy conservation according to activity status. First, an operational policy for comfort and energy conservation according to activity status is set. This policy determines whether the activity status prioritizes comfort or energy conservation (while still ensuring comfort). Next, a function for air conditioning temperature settings that takes into account comfort and energy savings based on the comfort index is calculated. A comfort range is set based on the comfort index, and an air conditioning temperature setting range is set based on the comfort range, and a function for air conditioning temperature settings according to the number of people in the room is calculated. Next, an air conditioning temperature setting schedule is calculated based on the operation policy.

[0035] Figure 11 shows a flowchart for setting air conditioning temperature settings that consider both ensuring comfort and energy conservation through a comfort index. First, the necessary conditions for comfort are set based on a comfort index (e.g., PMV). As an example of setting the necessary conditions, a comfort index value is set when comfort is prioritized. This is the setting of a comfort index value that represents the upper limit of comfort. Next, a comfort index value that represents the allowable limit for maintaining comfort is set. This is the setting of a comfort index value that represents the lower limit of comfort. A specific example is shown in Figure 12. For example, for Tenant A, located on the 15th floor and with office attributes, the upper limit of comfort (PMV) can be set to 0.3 (summer), and the lower limit of comfort (PMV) can be set to 0.6 (summer). For a lounge located on the 16th floor and with non-office attributes, the upper limit of comfort (PMV) can be set to 0.3 (summer), and the lower limit of comfort (PMV) can be set to 0.8 (summer). Here, PMV is the Predicted Mean Vote (predicted mean thermal sensation report).

[0036] Next, the parameters used in calculating the comfort index (PMV) are set. These include clothing amount, activity amount, radiant temperature, air velocity, and relative humidity. As shown in Figure 13, the activity amount parameter can be set using a standard value, information on the tenant's industry, and floor / area data on the number of people entering and leaving the room. Clothing amount can be set using the calendar date and outdoor temperature information. Other parameters can also be set to standard values. As a specific example, for a 15th floor office-type room with a standard number of people entering and leaving the room, the following can be set: activity amount 1.2 met, clothing amount 0.5 clo, radiant temperature 26°C, indoor air velocity 0.2 m / s, and relative humidity 40%.

[0037] Next, the air conditioning temperature setting range is calculated by calculating the comfort index (PMV) based on the required comfort conditions. The calculation procedure is to first calculate each air conditioning temperature setting corresponding to the comfort index value ranging from the upper limit to the lower limit of comfort using the comfort index calculation. The obtained air conditioning temperature setting range is then set as the allowable range for control. As shown in Figure 14, specifically, the air conditioning temperature setting corresponding to the upper limit of comfort (e.g., 26°C / summer) and the air conditioning temperature setting corresponding to the lower limit of comfort (e.g., 28°C / summer) can be set, with the allowable range for control of the air conditioning temperature setting being 26 to 28°C.

[0038] Next, function data is calculated to output the air conditioning set temperature relative to the number of occupants (normalized) on the target floor / area, as shown in Figure 15. The procedure for calculating the function data is to increase comfort as the number of occupants increases. (1) The air conditioning set temperature tl (summer), which corresponds to the upper limit of comfort, is associated with a predetermined value corresponding to a large number of occupants (normalized). For example, 26°C / summer is associated with a number of occupants of 0.8. (2) The air conditioning set temperature th (summer), which corresponds to the lower limit of comfort, is associated with a predetermined value corresponding to a small number of occupants (normalized). For example, 28°C / summer is associated with a number of occupants of 0.2. (3) A function representing the relationship between the number of occupants (normalized) and the air conditioning set temperature is calculated as follows: Considering the two items (1) and (2) on two-axis coordinates, a line or curve connecting the points (elements) of (1) and (2) above is calculated as a function of the air conditioning set temperature relative to the number of occupants.

[0039] Figure 16 shows a flowchart for creating an air conditioning temperature setting schedule based on operational policies. First, a loop process is initiated for the set of floors / areas to be managed. Next, an initial time value is set. Next, a time loop process for the length of a day is initiated. Updates are made in 5-, 10-, or 15-minute increments. Next, identification data for the floor / area's attributes is obtained. Next, it is determined whether the floor / area's attributes are office-type. If YES (office-type), the activity status for that time is identified from the activity status time schedule for the floor / area. Based on the activity status and the control operational policies, the air conditioning temperature setting is set using factors such as the number of occupants at that time. If NO (non-office-type), the air conditioning temperature setting is set using factors such as the number of occupants at that time based on the activity status and the control operational policies. Specific examples are shown in Figures 17 and 18. The upper graph shows air conditioning temperature setting control according to the number of occupants (energy saving while maintaining comfort), while the lower graph shows control with a fixed comfortable temperature setting (emphasis on comfort).

[0040] Next, it is determined whether the one-day time length has been completed. If YES, the time loop processing for the one-day time length ends. If NO, it updates to the next time (updated in 5-minute, 10-minute, 15-minute increments, etc.) and returns to obtaining the identification data of the floor / area attributes for the target floor / area. Next, it is determined whether all floors / areas under management have been processed. If YES, the loop processing for the set of floors / areas under management ends. If NO, the next floor / area is set and the loop processing returns to the start.

[0041] Figure 19 shows the overall system configuration involving the building management system according to this embodiment. Each component is connected to a common line in the building's information network. The building management system sends control commands for various pieces of equipment to the common line and receives various headcount data from the common line. The elevator equipment is controlled by an elevator group control system. Operation data is sent from the elevator group control system to the common line and elevator control commands are received from the common line. The building patrol robots are controlled by a robot group control system. The robot group control system receives robot group control commands from the common line.

[0042] Each group of floors (Floors Y, Z, and W) in a building is equipped with air conditioning equipment, lighting equipment, entrance / exit devices, floor / area people sensors, and building management information input / output devices (for tenants / users). The air conditioning equipment is controlled by an air conditioning equipment control system based on air conditioning control commands from a common line. The lighting equipment is controlled by a lighting control system based on lighting control commands from a common line. The entrance / exit devices are managed by an entrance / exit management system and send data on the number of people entering and exiting the room to the common line. The floor / area people sensors are managed by a people sensor system and send data on the number of people in the floor / area to the common line. The building management information input / output devices (for tenants / users) send activity event data and equipment operation rule data for activity events to the common line, and receive operation information for various pieces of equipment from the common line.

[0043] The air conditioning control schedule is created to ensure comfort while saving energy. For example, the predicted mean vote (PMV) can be used as an index of comfort.

[0044] The control policy setting means 4 sets a control policy for the air conditioning and lighting equipment relating to comfort and energy saving for each activity state for each floor or area. In other words, a control policy for comfort and energy saving according to the activity state is set. There are two control policies: an activity state that prioritizes comfort and an activity state that takes energy saving into consideration (comfort is guaranteed).

[0045] Next, the necessary conditions for comfort are set based on the comfort index PMV. The necessary conditions for comfort are the PMV value when comfort is prioritized and the PMV value within the acceptable comfort range. Then, the parameter values ​​for the comfort index PMV calculation are set. These parameters include the amount of activity, amount of clothing worn, radiant temperature, air velocity, and relative humidity. Based on the necessary conditions for the comfort index, the PMV calculation can determine the range of air conditioning temperature settings. Based on the temperature setting range, a function of the air conditioning temperature setting according to the number of people on the floor is calculated. Based on the control policy, a control schedule for the air conditioning temperature setting can be calculated.

[0046] We will now explain the details of creating an air conditioning control schedule. When setting control policies for comfort and energy conservation according to activity status, a control policy for air conditioning equipment is set for each activity status based on the time schedule of the floor's activity status. The default control policy for each floor is to operate temperature settings that prioritize comfort during morning and afternoon office hours, and for other activity statuses (before work starts, lunch break, overtime), a policy is established that aims to save energy while ensuring comfort by operating temperature settings according to the number of people on the floor. Based on the default control policy proposal, a system is created that allows control policies for comfort and energy conservation to be set for each floor according to the tenant's thinking.

[0047] The temperature setting range calculated using PMV based on the necessary conditions for comfort is determined by setting the necessary conditions for comfort as follows. For example, the PMV value for comfort-focused operation is an absolute value of 0.3 or less, and the PMV value for the acceptable comfort range is an absolute value of 0.8 or less. Based on these necessary conditions, the temperature setting range calculated using PMV is as follows. Based on this, the air conditioning temperature setting according to the activity level is determined. When the temperature setting for comfort-focused operation is 26°C (cooling), the PMV value is 0.3. When the temperature setting for the acceptable comfort range is 28°C (cooling), the PMV value is 0.7. This is a function of the air conditioning temperature setting according to the number of people on the floor. The graph of the function of the air conditioning temperature setting according to the number of people on the floor shows the normalized number of people on the floor on the horizontal axis and the air conditioning temperature setting on the vertical axis, and is a function that determines the air conditioning temperature setting according to the number of people on the floor. When cooling, the function has the characteristics of increasing the set temperature as the number of people in the room decreases, aiming for energy savings, and decreasing the set temperature as the number of people in the room increases, prioritizing comfort.

[0048] This section explains how to calculate the control schedule for the air conditioning temperature settings based on the operation policy. Based on the time schedule of floor activity and the control policy, a control schedule for the air conditioning temperature settings according to the floor activity state can be calculated. Based on the floor activity state, the temperature is set to 26°C during morning and afternoon office hours, prioritizing comfort, and during other times such as before work starts in the morning, during lunch breaks, and overtime, the temperature is adjusted within a range of 26°C to 28°C depending on the number of people.

[0049] In this embodiment, efficient equipment control that takes into account energy conservation and comfort is achieved according to the attributes and activity status of each floor. Controlling the air conditioning and lighting equipment according to the activity status of each floor improves energy efficiency and achieves energy savings. Control is based on a control policy for the air conditioning and lighting equipment, which is based on the specific activity status of each floor, enabling control that meets the specific needs of each floor. Dynamic adaptation based on the number of occupants is also possible. During specific time periods, such as lunch breaks, the air conditioning and lighting equipment is controlled to reflect the decrease in the number of occupants on a floor, enabling air conditioning and lighting control based on the activity status, content, and needs. The set temperature is dynamically adjusted based on data reflecting the floor or area usage status (especially the number of occupants), improving the adaptability and accuracy of air conditioning and lighting control to actual conditions. The set temperature adjustment using a function reflects various factors, such as the time of day, activity level, and number of occupants, thereby always maintaining an appropriate air conditioning state and ensuring occupant comfort. [Explanation of symbols]

[0050] 1. Detection means, 2. Identification means, 3. Grasping means, 4. Control policy setting means 5. Control schedule creation means, 6. Control parameter creation means 7. Air conditioning and lighting equipment control means

Claims

1. In a building facility control system that controls air conditioning and lighting equipment in an area within a building, an identification means for identifying an attribute of the area in the building based on the number of people in the area; A grasping means for grasping the activity state of the occupants based on the identified attributes and the number of occupants; A building facility control system comprising a parameter creation means for creating control parameters for the air conditioning and lighting facility based on the attributes and the activity status of the area.

2. 2. The building facility control system according to claim 1, A building facility control system comprising a control policy setting means for setting a control policy for the air conditioning and lighting facility based on the attribute and the activity state of the area.

3. 2. The building facility control system according to claim 1, A building facility control system comprising means for controlling the air conditioning and lighting facilities in the area within the building based on control parameters of the air conditioning and lighting facilities.

4. 2. The building facility control system according to claim 1, A building facility control system, wherein the area is a floor of a building.

5. 5. The building facility control system according to claim 4, A building equipment control system comprising a detection means for detecting the number of people entering and leaving a room, wherein the detection means is at least one of an elevator device installed in the building, an elevator control system, an entry / exit management device installed on a floor or in the area of ​​the building, and a people counting sensor installed on the floor or in the area of ​​the target building.

6. 2. The building facility control system according to claim 1, The building facility control system is characterized in that the identification means identifies the attribute as office or non-office using at least one of time series data on the number of people entering, leaving, and present in the room.

7. 2. The building facility control system according to claim 1, A building facility control system comprising a control policy setting means for setting a control policy for the air conditioning and lighting facility relating to comfort and energy saving for each activity state of each area.

8. 2. The building facility control system according to claim 1, A building equipment control system characterized in that, when the attribute is an office, it is provided with a control schedule creation means for creating a control schedule in which the control parameters for the air conditioning and lighting equipment are set for each time period during which the occupants are active.

9. 2. The building facility control system according to claim 1, A building equipment control system characterized in that the parameter creation means uses a control schedule to set the control parameters based on the number of people occupying the room at the time if the corresponding time is within a time range for setting the control parameters based on the number of people occupying the room.

10. A building facility control method for controlling air conditioning and lighting facilities in an area within a building, comprising: identifying attributes of the area based on the number of people in the area within the building; A step of grasping the activity status of the occupants based on the identified attributes and the number of occupants; and creating control parameters for the air conditioning and lighting equipment based on the attributes and the activity status of the area.

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