Building equipment control system and building equipment control method

Abstract

The purpose of the present invention is to provide a building equipment control system and a building equipment control method that enable efficient control of building equipment in consideration of energy conservation and comfort. The building equipment control system according to the present invention is a building equipment control system for controlling air-conditioning lighting equipment in an area in a building, and is characterized by comprising: an identification unit for identifying attributes of the area on the basis of the number of people in the area in the building; an estimation means for estimating the activity state of the indoor person on the basis of the recognized attribute and the number of indoor persons; and a parameter generation unit that generates a control parameter of the air-conditioning lighting device on the basis of the attribute and the active state of the area.

Description

Technical Field

[0001] The invention relates to a building equipment control system and a building equipment control method. Background Art

[0002] In recent years, the rise in hybrid working, combining commuting and telecommuting, and the adoption of ABW (Activity-Based Working) offices have increased the diversity of floor activity patterns, necessitating the understanding of this information and the appropriate use of building equipment.

[0003] Patent Document 1 discloses a technique for determining an air-conditioning zone based on a meeting schedule (≈ event) and determining a normal operation state (for a large number of participants) or an energy-saving operation state (for a small number of participants) based on the number of meeting participants.

[0004] Patent Document 2 estimates the number of people in a room at each time period and controls the air conditioner based on its daily fluctuation pattern, disclosing a technology for switching the temperature setting based on the estimated number of people.

[0005] Prior art literature

[0006] Patent Literature

[0007] Patent Document 1: Japanese Patent Application Laid-Open No. 2020-135313

[0008] Patent Document 2: Japanese Patent Application Laid-Open No. 2008-298353 Summary of the Invention

[0009] Problems to be solved by the invention

[0010] However, there is a demand for further improvements in energy conservation and comfort according to the activity status of each area of ​​the office building.

[0011] An object of the present invention is to provide an efficient building equipment control system and a building equipment control method that take energy saving and comfort into consideration in accordance with the internal activity state of each area of ​​an office building.

[0012] Technical solutions to problems

[0013] The building equipment control system of the present invention is a building equipment control system for controlling the air-conditioning and lighting equipment of an area within a building, and is characterized in that it includes: an identification unit for identifying the attributes of the area based on the number of people indoors in the area within the building; an inference unit for inferring the activity status of indoor people based on the identified attributes and the number of people indoors; and a parameter generation unit for generating control parameters of the air-conditioning and lighting equipment based on the attributes and the activity status of the area.

[0014] 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 indoors in the area within the building; a step of inferring the activity status of indoor people based on the identified attributes and the number of people indoors; and a step of generating control parameters for the air-conditioning and lighting equipment based on the attributes and the activity status of the area.

[0015] Effects of the Invention

[0016] According to the present invention, it is possible to provide an efficient building equipment control system and a building equipment control method that take energy saving and comfort into consideration according to the activity state inside each area of ​​an office building. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A flowchart corresponding to the process of generating a control schedule for a device is shown.

[0018] Figure 2 This is a flowchart showing the process of setting an operational policy.

[0019] Figure 3 A configuration example of a building equipment control system according to this embodiment is shown.

[0020] Figure 4 This section shows an example of the operational policy for equipment control on non-office floors and areas.

[0021] Figure 5 A flowchart showing a process for generating a control schedule corresponding to a reference device.

[0022] Figure 6 An example of data showing activity events on a floor and their occurrence times.

[0023] Figure 7 An example of a timetable showing the activity status of a floor.

[0024] Figure 8 A flowchart corresponding to the control execution process for controlling the equipment on the day is shown.

[0025] Figure 9 A flowchart corresponding to a control process for a non-office type is shown in the control execution process for controlling the equipment on the day.

[0026] Figure 10 A flowchart showing the generation of a temperature setting schedule for air conditioning in consideration of comfort and energy saving according to the activity state.

[0027] Figure 11A flowchart corresponding to setting of a set temperature condition of air conditioning based on a comfort index in consideration of ensuring comfort and energy saving is shown.

[0028] Figure 12 This section shows an example of calculation parameter setting data for calculating a comfort index.

[0029] Figure 13 This section shows an example of calculation parameter setting data for calculating a comfort index.

[0030] Figure 14 An example of calculation results of the air-conditioning set temperature range based on the comfort requirements is shown.

[0031] Figure 15 This shows an example of function data that outputs the set temperature of the air conditioner according to the number of people in the room on the target floor / area.

[0032] Figure 16 This is a flowchart showing how to generate an air conditioning set temperature schedule based on an operation policy.

[0033] Figure 17 This section shows an example of an office type among examples of an air conditioning setting temperature schedule based on an operation policy.

[0034] Figure 18 This section shows a non-office type example among examples of air-conditioning setting temperature schedules based on operation policies.

[0035] Figure 19 The overall system structure of the building management system of this embodiment is shown.

[0036] Figure 20 This example shows the number of people entering, leaving, and staying on a floor. DETAILED DESCRIPTION

[0037] An embodiment of the spectrophotometer device of the present invention is described below with reference to the accompanying drawings. This embodiment uses time-series data on the number of people indoors on each floor, for example, to identify activity status on each floor within a building. Based on this activity information, equipment is efficiently controlled. In particular, central air conditioning systems in large office buildings implement scheduled operation for start / stop and set temperature adjustment, with the operating schedule controlled by commands issued by the building management controller. The controlled equipment includes central air conditioning units and lighting.

[0038] [Example 1]

[0039] In the building control of this embodiment, a control mode with comfort priority and a control mode with energy saving priority can be set and selected according to the activity state. In addition, the air conditioning set temperature range can be set based on PMV (comfort index). In the energy saving priority control mode, the set temperature is adjusted within the air conditioning set temperature range according to the number of people. Figure 3 hereinafter shows a configuration example of a building equipment control system according to this embodiment.

[0040] In the building control of this embodiment, Figure 3 As shown, it is equipped with a detection unit 1 for detecting the number of people entering / leaving / inside the room, an identification unit 2 for identifying the attributes of the floor, an estimation unit 3 for estimating the activity status of the floor, a control policy setting unit 4 for setting the control policy, a control schedule generating unit 5 for generating a control schedule based on the attributes and activity status of the floor, a control parameter generating unit 6 (setting temperature, setting illumination) corresponding to the activity status of the floor, and an air conditioning and lighting equipment control unit 7.

[0041] In this embodiment, depending on the floor structure, multiple areas may exist on a single floor, or one floor may correspond to a single area. Also, depending on the building structure, areas may span multiple floors. While this embodiment is described primarily using floors as an example of areas, explanations will also be provided for each floor or area.

[0042] This embodiment describes the device control based on floor activity status. This embodiment uses air conditioning and lighting control as examples of device control. Air conditioning includes centrally controlled air conditioners capable of controlling temperature, humidity, and other parameters. Furthermore, lighting includes lighting capable of controlling illumination and other parameters. Control is performed on at least one of these control targets. The inputs to this control process are elevator operation data, data from access control devices, and data from occupancy sensors. The final output is a control schedule for starting / stopping the air conditioners and setting the temperature on each floor.

[0043] The flow of these control processes is explained. First, the elevator operation data is input and at least the number of people indoors on the floor is calculated. In addition, it is preferred that there is data on the number of people entering and leaving. Next, the characteristics of the floor are classified as "office" or "non-office". Next, the activity events on the floor are identified (starting work, lunch break, ending work, etc.), a timetable of their occurrence times is generated, and a timetable of the activity status of the floor is inferred. Based on the inferred timetable of floor activities, a control schedule for air conditioning that takes comfort and energy saving into consideration is generated according to the activity status of the floor and the number of people indoors. It consists of a basic planning process as the main part and real-time processing based on the data of the day. Real-time processing is the same processing as the basic planning process, and adjustments are made according to the data of the number of people indoors on the floor of the day.

[0044] To calculate the number of people entering, exiting, and indoor occupancy data for each floor, data on the number of people boarding, exiting, call-generating floors, and call-generating floors can be obtained from elevator operation data. This data is used to calculate the number of people entering and exiting a floor. The number of people indoors can be calculated by summing the differences. Detection unit 1 preferably includes at least one of the following: elevator equipment installed in the building, an elevator control system, an access control device installed on a floor or in an area within the building, or a people counting sensor installed on a floor or in an area within the target building. Using multiple sensors improves accuracy.

[0045] Regarding floor attribute identification, attribute identification unit 2 determines whether a floor is office-type or non-office-type based on the number of people entering, leaving, and the number of people indoors, particularly the shape characteristics of the indoor number data. Identification unit 2 preferably uses at least one of the time-series data for the number of people entering, exiting, or indoors to identify the floor as office-type or non-office-type. For office-type floor, activity status estimation unit 3 estimates the activity status of the identified floor and implements device control. For non-office floor, control is implemented by adjusting the air conditioning temperature according to the number of people indoors on the floor.

[0046] Regarding the identification of floor activity events, for floors identified as office-type based on floor attribute recognition, we focus on floor activities unique to offices and identify their activity events. First, we extract the main activity events for the target floor. Furthermore, we normalize the number of people entering and leaving the floor, which serves as a feature, to eliminate the influence of the number of people. Next, we divide the time periods into morning (00:00-11:00), afternoon (11:00-14:00), and afternoon (14:00-24:00), and identify activity events based on the number of people entering and leaving the floor.

[0047] Here, for example, the start of work is the data element with the largest number of people entering the floor in the morning period, which satisfies the set of number of people entering > number of people leaving. The start of lunch break is the data element with the largest number of people leaving the floor in the activity area in the noon period, which satisfies the set of number of people leaving > number of people entering. The end of lunch break is the data element with the largest number of people entering the floor in the noon period, which satisfies the set of number of people entering > number of people leaving. The end of work is the data element with the largest number of people leaving the floor in the afternoon period, which satisfies the set of number of people leaving > number of people entering.

[0048] Based on the identified event occurrence times, a timetable is generated for each event, and a timetable corresponding to the floor's activity status is generated based on this timetable. This activity timetable, which estimates the activity status of each floor along the time axis, enables efficient control of equipment such as air conditioners. By identifying individual event events such as the start of work, the beginning and end of lunch breaks, and the end of work hours based on the number of people entering and leaving a floor, efficient control is achieved.

[0049] Regarding the generation of a floor activity timetable, a floor activity timetable is generated based on a floor activity event timetable derived from the occurrence times of floor activity events. Floor activity status includes pre-office business hours, mid-morning business hours, lunch break, afternoon business hours, and overtime hours.

[0050] exist Figure 1 , which is an example of online and offline operation. It is generated by the control schedule generation unit 5. As an initial process, the operation policy of the device control corresponding to the activity state of the floor / area is set. As an offline control schedule generation process (implemented in advance), for each floor / area in the building as an object, it is determined whether the generation / update period of the device control schedule (benchmark) has arrived (every 3 months, etc.). If not, the generation of the control schedule is completed. If yes, for each floor / area as an object in the building, the control schedule (benchmark) of the device is generated based on the attributes of the floor / area and the operation policy of the device control, and the generation of the control schedule is completed.

[0051] Next, the online daily control execution process (performed today (24 hours)) determines whether control has begun for each floor / area within the building. If not, the process returns to this step. If so, device control is executed for each floor / area within the building based on the floor / area attributes and device control operation policy. Next, a determination is made as to whether control for each floor / area within the building has ended for the day (24 hours). If not, the process returns to the aforementioned device control execution. If so, the process ends.

[0052] exist Figure 2 The flowchart corresponding to the operation policy setting process is shown in FIG. A loop process for the set of floors / areas to be managed is started. Next, for the target floor / area, it is determined whether the operation policy for the device control corresponding to the active state has not been set or whether the update period has arrived. If not, the process ends. If so, it is determined whether identification data of the floor / area attributes exists for the target floor / area. If so, identification data of the floor / area attributes corresponding to the target floor / area is obtained. If not, the attributes of the floor / area are identified (identified as office type or non-office type) and the identification data is obtained.

[0053] Next, determine whether the attribute of the target floor / area is office type. If it is (office type), set the operation policy of the equipment control corresponding to each activity state of the office type floor / area. For example, focus on comfort during the business hours of pre-morning business and afternoon business. Operate at a fixed comfortable set temperature. In other times (business before starting the office, lunch break, overtime business, etc.), maintain comfort and focus on energy saving. Set the air-conditioning temperature according to the number of employees and control it. In addition, as control method A, the air-conditioning temperature can also be calculated and set by a function based on the number of people in the room measured that day (real-time value). In addition, as control method B, a set temperature schedule generated offline can also be applied.

[0054] like Figure 4 As shown, if the device is not in the "non-office" setting, set the device control policy for the non-office setting. For example, maintain comfort while prioritizing energy conservation. Set the air conditioning temperature (all day) according to the number of people in the room and control it. Alternatively, as control method A, a function can be used to calculate and set the air conditioning temperature based on the number of people in the room (real-time value) measured that day. As control method B, control can also be based on an offline generated set temperature schedule or a pre-set schedule.

[0055] Next, the process checks whether all floors / areas under management have been processed. If so, the loop ends for the set of floors / areas under management. If not, the next floor / area is set, and the process returns to the step that checks whether no operational policy has been set or the update period has expired.

[0056] exist Figure 5 The flowchart corresponding to the generation process of the control schedule of the equipment is shown in FIG. This is an offline example. Set the operation policy of the equipment control corresponding to the activity status of the floor / area. Then, start the loop process for the management target floor / area set. Next, obtain Figure 20The time series data of the number of people entering and leaving the target floor / area is shown (for the past three months, etc.). Next, the time series data of the number of people indoors on each floor / area is calculated.

[0057] Next, identify the attributes of the floor / area (office type or non-office type). If it is (office type), proceed as follows Figure 6 The identification of the activity events corresponding to the office type floor shown in FIG. Then, it is inferred that Figure 7 As shown, the time schedule of the activity status of the floor obtained based on the time of occurrence of the activity event on the floor is generated based on the activity status of the floor and the number of people indoors, and a judgment is made as to whether all the floors / areas under management have been processed. In the case where the attribute is office, it is preferred to generate a control schedule for setting the control parameters of the above-mentioned air-conditioning and lighting equipment every hour according to the activity status of the indoor personnel. In the case of no (non-office type), a control schedule (benchmark) of the equipment is generated based on the number of people indoors, and a judgment is made as to whether all the floors / areas under management have been processed. Whether all the floors / areas under management have been processed, if so, the loop processing of the set of floors / areas under management is ended. If not, the processing loop is returned to the beginning.

[0058] exist Figure 8 The flowchart corresponding to the control execution process of the equipment on the day of control is shown in FIG. This is the case of online implementation (implemented in real time on the day of control). First, the loop processing of the management target floor / area set is started. Then, the information of the recognition result of the attribute of the target floor / area is obtained, and the Figure 17 and Figure 18 The control schedule (benchmark) of the equipment corresponding to the target floor / area is shown. Next, the measurement data (time series data) of the number of people entering and leaving the target floor / area is obtained. Next, the time series data of the number of people indoors on each floor / area is calculated.

[0059] Next, the system determines whether the attribute of the target floor / area is office-type. If so, the control conditions for that time are retrieved from the device's control schedule (reference). If not, the system executes the control processing for the day corresponding to the non-office type, transmitting control instructions based on the control conditions and control parameters to the device on the target floor / area.

[0060] The control conditions at that moment are obtained from the control schedule (benchmark) of the device, and it is determined whether the control conditions corresponding to that moment are implemented in accordance with the number of people in the room. If so, the control parameters of the device are calculated using the control parameter generation unit 6 based on the number of people in the room at that moment or the most recent moment, and a control instruction based on the control conditions and control parameters is transmitted to the device on the target floor / area. When the control schedule is used and the moment that meets the conditions (suitable) is within the time range for setting the control parameters based on the number of people in the room, it is preferred to set the control parameters based on the number of people in the room at the above moment. If not, the control conditions at that moment of the control schedule (benchmark) are set, and a control instruction based on the control conditions and control parameters is transmitted to the device on the target floor / area.

[0061] Next, it is determined whether all floors / areas to be managed have been processed. If so, the loop processing for the set of floors / areas to be managed ends. If not, the next floor / area is set and the loop processing returns to the next step.

[0062] exist Figure 9 1 shows a flowchart corresponding to the control process in the case of a non-office type in the control execution process of the device on the day of control. This is a case where it is executed online (executed in real time on the day of control).

[0063] Determine whether the target floor / area (non-office type) is controlled according to the control schedule (benchmark) of the pre-set equipment. If yes, Figure 18 If no, the control parameter generating unit 6 calculates the control parameters of the device based on the number of people in the room at that time or the most recent time.

[0064] exist Figure 10 The following is a flowchart for generating an air conditioning temperature schedule that takes both comfort and energy conservation into account, depending on the activity state. First, set the comfort and energy conservation policies for the activity state. This policy setting determines whether the activity state prioritizes comfort or considers energy conservation (ensuring comfort).

[0065] Next, a function is calculated based on the comfort index, taking into account both comfort and energy conservation. A comfort range based on the comfort index is set, and an air conditioning set temperature range based on the comfort range is set. The function is then calculated to adjust the air conditioning set temperature based on the number of people in the room. Next, a schedule for the air conditioning set temperature is calculated based on the operational policy.

[0066] exist Figure 11The flowchart corresponding to the setting of the set temperature conditions of the air conditioner based on the comfort index in consideration of ensuring comfort and energy saving is shown in the figure. First, the necessary conditions for comfort based on the comfort index (such as PMV) are set. As an example of setting the necessary conditions, the comfort index value when comfort is emphasized is set. This is the setting of the comfort index value as the upper limit of comfort. In addition, the comfort index value is set as the allowable limit for maintaining comfort. This is the setting of the comfort index value as the lower limit of comfort. Specifically, Figure 12 For example, for tenant Company A, which is located on the 15th floor and has an office-type property, the comfort index (PMV) setting value, which serves as the upper limit of comfort, can be set to 0.3 (in summer), and the comfort index (PMV) setting value, which serves as the lower limit of comfort, can be set to 0.6 (in summer). Alternatively, for a lounge located on the 16th floor and has a non-office-type property, the comfort index (PMV) setting value, which serves as the upper limit of comfort, can be set to 0.3 (in summer), and the comfort index (PMV) setting value, which serves as the lower limit of comfort, can be set to 0.8 (in summer).

[0067] Here, PMV is Predicted Mean Vote (predicted average temperature sensation report).

[0068] Next, the parameters used in the calculation of the comfort index (PMV) are set. For example, the amount of clothing worn, the amount of activity, the radiation (radiation) temperature, the air flow rate, the relative humidity, etc. Figure 13 The parameters shown in the figure can be set based on the standard value, the tenant's industry type information, and the number of people entering and leaving the floor / area. In addition, the amount of clothing can be set based on the calendar date and the outside temperature information. In addition, other parameters can also be set according to the standard value. As a specific example, if the floor is 25, the property is office type, and the number of people entering and leaving is standard, the settings can be 1.2 meters for activity, 0.5 meters for clothing, 26 degrees Celsius for radiation temperature, 0.2 meters / second for indoor air velocity, and 40% for relative humidity.

[0069] Next, the air conditioning set temperature range is calculated by calculating the comfort index (PMV) obtained based on the set comfort requirements. The calculation process is to first calculate the air conditioning set temperature corresponding to the comfort index value ranging from the upper limit to the lower limit of the comfort through the comfort index calculation. Then, the obtained air conditioning set temperature range is set as the allowable range of control. Figure 14 As shown, specifically, the set temperature of the air conditioner corresponding to the upper limit of comfort (for example: 26℃ / summer), and the set temperature of the air conditioner corresponding to the lower limit of comfort (for example: 28℃ / summer), the allowable range of control of the air conditioner set temperature can be set to 26~28℃.

[0070] Then, proceed as follows Figure 15 The output shown is the calculation of the function data of the set temperature of the air conditioner corresponding to the number of people indoors (normalized) on the target floor / area. In the process of calculating the function data, the principle is that the more people are indoors, the more comfort is improved. (1) The set temperature tl (summer) of the air conditioner corresponding to the upper limit of comfort is associated with a specified value with a large number of people indoors (normalized). For example, 26°C / summer is associated with 0.8 people indoors. In addition, (2) The set temperature th (summer) of the air conditioner corresponding to the lower limit of comfort is associated with a specified value with a small number of people indoors (normalized). For example, 28°C / summer is associated with 0.2 people indoors. In addition, (3) a function representing the relationship between the number of people indoors (normalized) and the set temperature of the air conditioner is calculated as follows. Considering the two items (1) and (2) in the coordinates of the two axes, a straight line or curve connecting the points (elements) of (1) and (2) is calculated as a function of the set temperature of the air conditioner corresponding to the number of people indoors.

[0071] exist Figure 16 , a flowchart of the air conditioning set temperature schedule generation based on the operation policy is shown in . First, start the loop processing for the set of floors / areas to be managed. Next, set the initial value of the time. Next, start the time loop processing for the length of 1 day. Update every 5 minutes, 10 minutes, 15 minutes, etc. Next, obtain the identification data of the attributes of the floor / area corresponding to the object floor / area. Next, determine whether the attribute of the object floor / area is office type. If it is (office type), determine the activity status of the time that meets the conditions based on the time schedule of the activity status of the object floor / area, and based on the control operation policy, use the number of people indoors at that time, etc. to set the set temperature of the air conditioner based on the activity status. If it is not (non-office type), based on the control operation policy, use the number of people indoors at that time, etc. to set the set temperature of the air conditioner based on the activity status. In Figure 17 and Figure 18 The upper figure shows the air conditioning temperature setting control according to the number of people in the room (maintaining comfort and energy saving), and the lower figure shows the control fixed at a comfortable setting temperature (emphasizing comfort).

[0072] Next, a check is made to see if the one-day time period has ended. If so, the time loop processing for the one-day time period ends. If not, the data is updated to the next time period (e.g., every 5, 10, or 15 minutes), and the identification data for the floor / area attribute corresponding to the target floor / area is returned.

[0073] Next, it is determined whether all floors / areas under management have been processed. If so, the loop processing for the set of floors / areas under management ends. If not, the next floor / area is set and the loop processing returns to the beginning.

[0074] exist Figure 19 The overall system architecture of the building management system of this embodiment is shown in Figure 2. Each component is connected to the shared line of the building's information network. The building management system sends control commands to various devices over the shared line and receives various data on the number of people present. The elevators are controlled by the elevator group control system. The elevator group control system sends operating data to the shared line and receives elevator control commands from the shared line. The roving robots within the building are controlled by the robot group control system. The robot group control system receives robot group control commands from the shared line.

[0075] Air conditioning equipment, lighting equipment, access control devices, floor / area occupancy sensors, and building management information input / output devices (for tenants / users) are configured in the building's floor groups (Y, Z, and W). The air conditioning equipment is controlled by the air conditioning control system based on air conditioning control commands from the shared line. The lighting equipment is controlled by the lighting control system based on lighting control commands from the shared line. The access control device is managed by the access management system, which sends data on the number of people entering and leaving the shared line. The floor / area occupancy sensors are managed by the occupancy sensor system, which sends data on the number of people on each floor / area to the shared line. The building management information input / output device (for tenants / users) sends activity event data and device operation rule data corresponding to the activity event to the shared line, and receives operating information corresponding to various devices from the shared line.

[0076] The creation of an air conditioning control schedule can generate an operation schedule that ensures comfort while achieving energy conservation. For example, PMV (Predicted Mean Vote) can be used as a comfort index.

[0077] The control policy setting unit 4 sets control policies for comfort and energy conservation for air conditioning and lighting equipment for each floor or zone, depending on the activity state. Specifically, control policies for comfort and energy conservation are set according to the activity state. There are two types of control policies: an activity state prioritizing comfort and an activity state considering energy conservation (ensuring comfort).

[0078] Next, set the necessary comfort conditions based on the comfort index (PMV). The necessary comfort conditions are the PMV value for prioritizing comfort and the PMV value for the comfort tolerance range. Then, set the values ​​for the parameters used in calculating the PMV comfort index. These parameters include activity level, clothing weight, radiant temperature, air velocity, and relative humidity. Based on the necessary comfort index conditions, the PMV calculation can be used to determine the air conditioning set temperature range.

[0079] A function for calculating the air conditioning set temperature according to the number of people on each floor is calculated based on the set temperature range, and a control schedule for the air conditioning set temperature is calculated based on the control policy.

[0080] The following describes the details of generating an air conditioning control schedule. When setting comfort and energy-saving control policies based on activity status, the 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 uses a temperature setting that prioritizes comfort during business hours in the morning and afternoon. For other activity statuses (before work, lunch break, and overtime), a policy is set to ensure comfort and achieve energy savings by using temperature settings that are appropriate for the number of people indoors on the floor. This mechanism allows comfort and energy-saving control policies to be set for each floor based on the default plan for the control policy, tailored to the tenants' preferences.

[0081] The set temperature range calculated based on the PMV of the comfort requirements is set as follows. For example, the PMV value for comfort is set to an absolute value of 0.3 or less, while the PMV value for the comfort tolerance range is set to an absolute value of 0.8 or less. The set temperature range calculated from the PMV based on these requirements is as follows. The air conditioner set temperature is determined based on this value, depending on the activity state. The set temperature for comfort is 26°C (cooling) with a PMV value of 0.3. The set temperature for the comfort tolerance range is 28°C (cooling) with a PMV value of 0.7. This is a function of the air conditioner set temperature depending on the number of people in the room on each floor. The horizontal axis of the graph of the air conditioner set temperature function for each floor shows the normalized number of people in the room on each floor, and the vertical axis shows the air conditioner set temperature. This function determines the air conditioner set temperature according to the number of people in the room on each floor. The characteristic of this function is that, in cooling mode, the set temperature is increased with fewer people in the room, favoring energy conservation, while the set temperature is decreased with more people in the room, favoring comfort.

[0082] This section explains how to calculate the air conditioner set temperature control schedule based on the operation policy. Based on the floor's activity schedule and control policy, a control schedule can be calculated to adjust the air conditioner set temperature accordingly. The system uses floor activity to set the temperature to 26°C for comfort during morning and afternoon business hours. Other times, before work starts in the morning, during lunch breaks, and during overtime, the temperature is adjusted within a range of 26°C to 28°C, depending on the number of people.

[0083] As described above, this embodiment enables efficient equipment control that takes energy conservation and comfort into account, tailored to the attributes and activity levels of each floor. Because air conditioning and lighting equipment can be controlled in accordance with the activity levels of each floor, energy efficiency is improved, achieving energy savings. Because control of air conditioning and lighting equipment is performed according to control policies derived from the specific activity levels on each floor, control tailored to the specific needs of each floor can be achieved. Furthermore, dynamic adaptation to the number of people in a room is possible. During specific periods, such as lunch breaks, air conditioning and lighting equipment are controlled to reflect the reduced number of people in the room on that floor. This allows air conditioning and lighting control to be tailored to the status, content, and needs of activities. The set temperature is dynamically adjusted based on data reflecting the usage of a floor or area (particularly the number of people in the room), improving the adaptability and accuracy of air conditioning and lighting control to actual conditions. Adjustment of the set temperature using a function reflects various factors, such as the time of day, activity level, and number of people, thereby consistently maintaining appropriate air conditioning and ensuring the comfort of those in the room.

[0084] Description of Reference Numerals

[0085] 1...Detection unit, 2...Identification unit, 3...Estimation unit, 4...Control policy setting unit, 5...Control schedule generation unit, 6...Control parameter generation unit, 7...Air conditioning and lighting equipment control unit.

Claims

1. A building equipment control system for controlling air conditioning and lighting equipment in a building, characterized in that: include: an identification unit for identifying an attribute of the area within the building based on the number of people in the area; An inference unit for inferring the activity status of indoor occupants based on the identified attributes and the number of people indoors; and A parameter generating unit generates a control parameter of the air conditioning and lighting device based on the attribute and the activity state of the area.

2. The building equipment control system according to claim 1, wherein: A control policy setting unit is provided, which sets a control policy for the air conditioning and lighting equipment based on the attribute and the activity state of the area.

3. The building equipment control system according to claim 1, wherein: A unit is provided for controlling the air-conditioning and lighting equipment in the area within the building based on control parameters of the air-conditioning and lighting equipment.

4. The building equipment control system according to claim 1, wherein: The areas are floors of a building.

5. The building equipment control system according to claim 4, characterized in that: A detection unit for detecting the number of people entering and leaving the building is provided, and the detection unit is at least one of an elevator device installed in a building, an elevator control system, an access management device installed on a floor or the area in the building, and a number counting sensor installed on the floor or the area of ​​the target building.

6. The building equipment control system according to claim 1, wherein: The recognition unit recognizes the property as an office or a non-office using at least one of time series data of the number of people entering, the number of people leaving, and the number of people in the room.

7. The building equipment control system according to claim 1, wherein: A control policy setting unit is provided for setting a control policy for the air-conditioning and lighting equipment regarding comfort and energy saving according to the activity state of each area.

8. The building equipment control system according to claim 1, wherein: A control schedule generating unit is provided for generating a control schedule for setting the control parameters corresponding to the air conditioning and lighting equipment every hour of the activity state of the indoor occupants when the attribute is an office.

9. The building equipment control system according to claim 1, wherein: The parameter generating unit uses a control schedule to set the control parameter based on the number of people in the room at that time when the time that meets the conditions is within a time range for setting the control parameter based on the number of people in the room.

10. A building equipment control method for controlling air conditioning and lighting equipment in a region within a building, characterized in that: include: a step of identifying attributes of the area within the building based on the number of people in the area; The step of inferring the activity status of indoor people based on the identified attributes and the number of people indoors; and The step of generating control parameters of the air conditioning and lighting equipment based on the attributes and the activity status of the area.

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