KR102578564B1 - Building energy management system for sensing fire - Google Patents

Abstract

The present invention relates to a building energy management system for fire detection, and the building energy savings management server for fire detection according to an embodiment of the present invention measures the energy usage by facilities that consume at least one or more of energy among electricity, gas, and water in the building. A usage collection unit that collects, an environmental information collection unit that collects environmental information about the climate and occupancy rate of the building, and a baseline, which is the energy usage in the first time section, is set to the environmental information date in the second time section. a savings calculation unit that sets a modified baseline modified to respond to the case and calculates energy savings by comparing the modified baseline with the energy usage in the second time period; and a fire detection unit that detects a fire in the building. and a facility control unit that controls operating conditions for the facility to match a preset savings amount according to the calculated energy savings amount, and controls the facility to an emergency condition when a fire is detected.

Description

Building energy management system for fire detection {BUILDING ENERGY MANAGEMENT SYSTEM FOR SENSING FIRE}

The present invention relates to a building energy management system for fire detection. More specifically, it discloses a technology for detecting fire while accurately determining the amount of energy savings by adjusting the past energy usage of the building and comparing the current energy usage.

Energy management in buildings is becoming increasingly important. Recently, an increasing number of buildings are adopting Building Energy Management System (BEMS). This utilizes IT technology to comprehensively manage facilities such as electricity, air conditioning, crime prevention, and disaster prevention within the building, and creates a pleasant indoor environment, which not only reduces energy and management manpower costs but also extends the life of the building. However, in the case of such BEMS, there were limitations in accurately determining the actual energy savings in that the savings were simply compared without reflecting surrounding environmental information.

Among the prior technologies, Republic of Korea Patent No. 10-2051494 relates to an air conditioning device capable of evaluating energy savings, which includes one or more carbon dioxide sensors installed in a building space and capable of detecting the carbon dioxide concentration in the space; A control module electrically connected to the carbon dioxide sensor and capable of operating in a normal control mode and a power saving control mode according to the concentration of carbon dioxide detected through the carbon dioxide sensor; And the technical feature is that it includes an air conditioner that is electrically connected to the control module and is controlled by the control module in the general control mode and the power saving control mode to adjust the conditions of the space.

However, the above conventional technology calculates the amount of energy saved by comparing past power use data with current power use data, but it is difficult to analyze real-time energy savings at the facility level, and monitors climate characteristics and occupancy rate in real time. Therefore, it has limitations in that it is difficult to reflect.

The technical problem to be solved by the present invention is to provide a building energy management system for fire detection that accurately determines the amount of energy savings by comparing the current energy usage by reflecting the current environmental information on the past energy usage of the building.

In addition, the purpose is to provide a building energy management system for fire detection that can prevent the spread of fire by operating equipment under emergency conditions when a fire occurs in a building.

In addition, the purpose is to provide a building energy management system for fire detection that can relatively increase accuracy while reducing the cost of measuring occupancy rate by analyzing the occupancy rate by setting a representative zone among the indoor spaces of the building.

In addition, the purpose is to provide a building energy management system for fire detection that can calculate equipment costs using the efficiency and remaining life of the equipment and recommend replacement equipment.

The building energy savings management server for fire detection according to an embodiment of the present invention includes a usage collection unit that collects energy usage for each facility that consumes at least one of electricity, gas, and water in the building, and climate and Setting an environmental information collection unit that collects environmental information on occupancy rate, and a modified baseline in which the baseline, which is the energy usage in a first time section, is modified to correspond to the environmental information in a second time section, and a savings calculation unit that calculates energy savings by comparing the modified baseline with the energy usage in the second time period, a fire detection unit that detects a fire in the building, and a preset savings amount according to the calculated energy savings. It controls the operating conditions for the equipment, and includes a facility control unit that controls the equipment to emergency conditions when a fire is detected.

Additionally, the usage collection unit collects the energy usage from a smart meter installed within the building, and may output a failure signal when the energy usage exceeds a preset normal range.

In addition, the environmental information collection unit includes a climate information collection unit that collects climate information including temperature and humidity indoors and outdoors of the building, and divides the indoor space within the building into preset sections to collect carbon dioxide concentration or image information. It may include an occupancy rate analysis unit that analyzes the occupancy rate.

In addition, the occupancy rate analysis unit may set a zone in which the overlap of the user's movement path is greater than a preset value among the indoor spaces as a representative zone and analyze the occupancy rate for the representative zone.

In addition, the equipment cost can be calculated using the energy efficiency and remaining useful life of the equipment, and alternative equipment that can be replaced at a cost less than the equipment cost can be recommended.

Accordingly, it is possible to accurately determine the amount of energy savings by reflecting the current environmental information in the past energy usage of the building and comparing it with the current energy usage.

Additionally, when a fire occurs in a building, the spread of the fire can be prevented by operating the equipment under emergency conditions.

In addition, by analyzing the occupancy rate by setting a representative zone among the indoor spaces of the building, the cost of measuring the occupancy rate can be reduced while relatively increasing accuracy.

In addition, the facility cost can be calculated using the facility's efficiency and remaining period, and alternative facilities that can replace it can be recommended.

Figure 1 is a configuration diagram of a building energy management system for fire detection according to an embodiment of the present invention.
Figure 2 is a configuration diagram of the environmental information collection unit of the building energy savings management server according to Figure 1.
Figure 3 is an example diagram to explain setting a representative zone in an indoor space in the occupancy rate analysis unit of the environmental information collection unit according to Figure 2.
FIG. 4 is an example diagram illustrating the calculation of energy savings based on a baseline in the savings calculation unit of the building energy savings management server according to FIG. 1.
FIG. 5 is an example diagram illustrating calculation of energy savings based on a modified baseline in the savings calculation unit of the building energy savings management server according to FIG. 1.
FIG. 6 is an example diagram illustrating recommendation of alternative equipment in the savings calculation unit of the building energy savings management server according to FIG. 1.
FIG. 7 is an example diagram illustrating how the modeling unit of the building energy savings management server according to FIG. 1 generates a data model.
FIG. 8 is an example diagram illustrating that the modeling unit of the building energy savings management server according to FIG. 1 provides energy savings data using an identification code.

Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings. The terms used are terms selected in consideration of their functions in the embodiment, and the meaning of the terms may vary depending on the intention of the guardian or operator or precedents. Therefore, the meaning of terms used in the embodiments described below, if specifically defined in the present specification, will follow the definition, and if there is no specific definition, the meaning will be interpreted as generally recognized by those skilled in the art.

FIG. 1 is a configuration diagram of a building energy management system for fire detection according to an embodiment of the present invention, FIG. 2 is a configuration diagram of an environmental information collection unit of the building energy savings management server according to FIG. 1, and FIG. 3 is a configuration diagram of a building energy management system according to FIG. 2. It is an example diagram to explain setting a representative zone in an indoor space in the occupancy rate analysis department of the environmental information collection department, and Figure 4 shows the energy savings based on the baseline in the savings calculation department of the building energy savings management server according to Figure 1. This is an example diagram for explaining calculating, and FIG. 5 is an example diagram for explaining calculating the energy savings based on the modified baseline in the savings calculation unit of the building energy savings management server according to FIG. 1.

1 to 5, the building energy management system 100 for fire detection according to an embodiment of the present invention includes a usage collection unit 110, an environmental information collection unit 120, a savings calculation unit 130, and a fire It includes a detection unit 140 and a facility control unit 150.

The usage collection unit 110 collects energy usage for each facility 10 that consumes at least one of electricity, gas, and water energy within the building. For example, air conditioners, air conditioners, showcases, elevators, air curtains, boilers, lighting, etc. may be set as equipment 10 that uses energy, but are not necessarily limited thereto. The usage collection unit 110 can collect energy usage in real time using a smart meter installed in the building. In this case, the smart meter is an electronic meter that can measure at least one of electricity, gas, and water. A smart meter can be installed in each facility (10) or assigned to a group of facilities (10) to collect energy usage.

In addition, the usage collection unit 110 collects energy usage from a smart meter installed within the building, and may output a failure signal when the energy usage exceeds a preset normal range. This is to quickly alert the administrator if normal energy usage is not collected from the smart meter. The usage collection unit 110 is also capable of setting different normal ranges of energy usage over time. For example, in the case of equipment 10 used during the day, normal ranges for energy use during the day and energy use during the evening may be set differently. This is to more accurately determine whether there is a breakdown by reflecting the energy usage by time period.

The environmental information collection unit 120 collects environmental information about the climate and occupancy rate of the building. The environmental information collected by the environmental information collection unit 120 is information used to adjust the energy usage of the building. The environmental information collection unit 120 collects real-time environmental information about the building. In this case, environmental information is collected along with energy usage and used as a key factor in calculating energy savings. The environmental information collection unit 120 can use environmental information about the interior and exterior of the building. If past environmental information is missing, the environmental information collection unit 120 can obtain climate information using an external Meteorological Administration server and supplement the environmental information by collecting user occupancy rate information using a credit card company server. .

More specifically, the environmental information collection unit 120 may include a climate information collection unit 121 and an occupancy rate analysis unit 122. The climate information collection unit 121 collects climate information including temperature and humidity indoors and outdoors of the building. For example, the climate information collection unit 121 may collect climate information through temperature sensors and humidity sensors installed indoors and outdoors of the building, but is not necessarily limited to this. The climate information collection unit 121 is also capable of collecting climate information from the Korea Meteorological Administration server. The climate information collection unit 121 collects climate information of the building in real time, and can also collect climate information by zone within the building. This is to subdivide the indoor space of the building and reflect environmental information, including climate information, in real time.

The occupancy rate analysis unit 122 divides the indoor space within the building into preset sections and analyzes the occupancy rate using image information. The occupancy rate analysis unit 122 calculates an occupancy rate indicating how many occupiers are distributed in the indoor space of the building. For example, the occupancy rate analysis unit 122 can calculate the number of users through object recognition from image information of the indoor space using a camera. In this case, the camera can track multiple users simultaneously using artificial intelligence. The camera can use infrared rays to track users at night or in dark indoor areas.

Additionally, the occupancy rate analysis unit 122 is also capable of calculating the occupancy rate by dividing the indoor space of the building into a plurality of areas. For example, the occupancy rate analysis unit 122 sets an area in which the overlap of the user's movement path is more than a preset value among the indoor spaces as a representative zone. Here, the occupancy rate analysis unit 122 can track the user's movement path and set the occupancy rate for the representative zone with the highest degree of overlap as the occupancy rate for the corresponding space. This is to reduce costs by determining the occupancy rate for representative zones without installing cameras throughout the entire indoor space. At least one such representative zone can be set within the indoor space.

Additionally, the occupancy rate analysis unit 122 is also capable of calculating the occupancy rate based on the amount of carbon dioxide in the indoor space within the building. The occupancy rate analysis unit 122 can calculate the occupancy rate by collecting the amount of carbon dioxide from a plurality of gas sensors in the building. For example, gas sensors can measure harmful gas components other than carbon dioxide. When a representative zone is set, the occupancy rate analysis unit 122 may install a gas sensor in the representative zone to obtain the amount of carbon dioxide and calculate the occupancy rate. In this case, the gas sensor is formed in the form of a mobile robot, making it possible to measure the amount of carbon dioxide while moving around the indoor area. This is to effectively measure the amount of carbon dioxide in areas where the number of users varies depending on the time of day.

Additionally, the occupancy rate analysis unit 122 may set different occupancy levels depending on the use of the indoor space. The occupancy rate analysis unit 122 can calculate and manage an occupancy rate table by use and time of the indoor space. This is to reflect the variation in occupancy rate depending on the use of space. In this case, the occupancy rate analysis unit 122 can determine the current user level by setting the occupancy level. For example, if you set the occupancy level as congestion level 1 for 0 to 3 people during off-peak hours, occupancy level 2 for 4 to 6 people, and 3 for 7 to 9 people, then during busy hours, occupancy level 1 for 0 to 8 people. Different occupancy levels are set, such as congestion level 2 for 9 to 16 people and congestion level 3 for 17 to 24 people.

Additionally, the occupancy rate analysis unit 122 compares the occupancy rate calculated through the amount of carbon dioxide and image information and, if a deviation occurs, may determine the occupancy rate using the image information as the final occupancy rate. The occupancy rate analysis unit 122 is also capable of outputting a failure signal when the occupancy rate calculated through the carbon dioxide amount and image information exceeds a preset normal range. This is to determine that a deviation in the occupancy rate has occurred due to a problem with the gas sensor or camera, and to alert the manager. The occupancy rate analysis unit 122 can cancel the alarm if the occupancy rate according to the amount of carbon dioxide and image information is within the normal range after the failure signal is generated.

Additionally, the environmental information collection unit 120 may further include a fine dust detection unit 123. The fine dust detection unit 123 can detect the fine dust concentration within the building. In this case, the fine dust concentration can be detected using a fine dust sensor installed indoors. The fine dust detection unit 123 can evaluate indoor air quality based on the detected fine dust concentration. This is to enable relative evaluation of air quality even in cases with the same energy usage. This environmental information collection unit 120 is output to the savings calculation unit 130.

The savings calculation unit 130 calculates the energy savings by comparing past and present energy usage. For example, the savings calculation unit 130 sets a modified baseline in which the baseline, which is the energy usage in the first time section, is modified to correspond to environmental information in the second time section. Here, the baseline is the sum of past energy usage on a daily, monthly, and yearly basis. When comparing the baseline at the first point in time with the current energy usage, accurate comparison is difficult because environmental information factors are not considered. However, the modified baseline sets the energy usage by reflecting the energy usage of the first time period in the environmental information and converting it to the current environmental information, thereby enabling more accurate comparison.

The savings calculation unit 130 can directly calculate the energy savings because the environmental information of the modified baseline and the environmental information of the energy usage in the second time period are the same or at the same level. For example, if the energy usage in the first time section is 100 and the occupancy rate is 20%, and the energy use in the second time section is 200 and the occupancy rate is 60%, the absolute energy use is 100 in the second time section. It becomes a lot. However, if the energy use in the first time section is converted to an occupancy rate of 60% by reflecting the environmental information, the energy use becomes 300, so it can be seen that the energy use in the second time section is actually reduced by 100. Accordingly, it is possible to check the actual energy savings taking into account environmental information, rather than simply the energy savings based on numerical values.

Additionally, the savings calculation unit 130 can calculate the facility cost using the energy efficiency and remaining use period of the current facility 10, as shown in FIG. 6 . Here, the equipment cost refers to the cost incurred when operating the relevant equipment 10. In this case, it is desirable that the expiration date for each facility 10 is determined. For example, the facility cost is calculated by reflecting the energy efficiency of an air conditioner that is used for an average of 10 hours a day and converting the amount of electricity used during the remaining period of use into a cost. The savings calculation unit 130 may recommend cheaper alternative equipment 11 within the same period based on equipment cost. In this case, if the difference between the facility cost of the existing facility (10) and the facility cost of the replacement facility (11) is greater than the purchase cost of the replacement facility (11), the replacement facility (11) may be recommended. Accordingly, equipment costs due to long-term use of the equipment 10 can be reduced.

The fire detection unit 140 detects fire within the building. A fire within a building can be detected through a detection sensor installed in the facility (10). In this case, a fire in a building's parking lot, equipment room, or general office is detected. Here, the detection sensor can detect a fire using at least one of smoke, gas concentration, flame detection, and temperature. When a fire in the building is detected, the fire detection unit 140 outputs fire information to the facility control unit 150. This is to operate the facility 10 capable of extinguishing a fire through the facility control unit 150 or to operate the facility 10 under emergency conditions in preparation for a power cut due to a fire.

The facility control unit 150 may control the operating conditions for the facility 10 to match the preset energy savings amount according to the calculated energy savings amount. The facility control unit 150 can independently control each facility 10. The facility control unit 150 can control the operation of the facility 10 within a range that can maintain a comfortable indoor zone while maximizing energy savings. In this case, the indoor comfort zone refers to the temperature and humidity section in which the user can feel comfortable. The facility control unit 150 can simultaneously satisfy user comfort and energy savings of the facility 10 by controlling the facility 10 within the comfort zone while maintaining the energy savings amount above the preset value.

Additionally, the facility control unit 150 may operate the facility 10 under emergency conditions according to fire information on a fire detected within the building from the fire detection unit 140. For example, the facility control unit 150 may stop operation of equipment 10 with a high fire risk from the fire detection unit 140 as an emergency condition or lower the drive rate. In this case, the facility control unit 150 can alert the manager of the fire risk of the corresponding facility 10. The facility control unit 150 can operate the facility 10 using spare power in consideration of the fact that the building's power is cut off due to a fire.

Additionally, if a fire has already occurred in the facility 10, the facility control unit 150 may stop the operation of the air conditioner in the facility 10 so that oxygen is not supplied. This is to prevent the fire from spreading. The facility control unit 150 can stop the operation of the facility 10 when it is close to a fire source. This is to prevent further spread of the fire by stopping the operation of the equipment 10 in advance due to the fire.

Additionally, the facility control unit 150 is also capable of extinguishing a fire on its own using a fire extinguishing tube. Here, the fire extinguishing tube is used in a comprehensive sense for fire extinguishing products in which digestive fluid is stored. The fire extinguishing tube is installed on one side of the equipment 10, and fire extinguishing liquid can be sprayed on the equipment 10 side under the control of the equipment control unit 150. The facility control unit 150 can control the fire extinguishing tube to operate for the facility 10 that is estimated to have a high fire risk or a fire has occurred. In this case, the fire extinguishing tube can be installed in a space separate from the facility 10, such as an underground parking lot, in addition to the facility 10 to extinguish the fire early.

Additionally, the facility control unit 150 is also capable of modifying and managing the comfort zone by analyzing SNS of the user terminal. For example, the facility control unit 150 can control the facility 10 by collecting big data about indoor temperature, etc. on SNS of a user terminal located in a building. In this case, it is also possible to modify the comfort zone by collecting information related to temperature, humidity, fine dust, etc. among user complaints collected through a dedicated application managed by the building energy savings management server 100. In this case, the facility control unit 150 may modify the comfort zone when the user's satisfaction level with respect to indoor temperature, etc. is less than a preset value. Accordingly, it is possible to maintain a more comfortable indoor environment by reflecting the user's opinion.

In addition, the facility control unit 150 can analyze the use of the building and control the operation of the facility 10 differently according to the schedule. For example, the facility control unit 150 may set and control a schedule that differentiates the operation of the facility 10 when the frequency of use is different, such as weekdays and weekends, working hours and off-hours, and weekdays and public holidays. In this case, the facility control unit 150 can control the intensity of lighting or the operating time of the air conditioner by modifying it according to a schedule. Accordingly, the facility 10 can be controlled according to a schedule that can save energy according to the frequency of use of the building's users.

FIG. 7 is an example diagram to explain how the modeling unit of the building energy savings management server according to FIG. 1 creates a data model, and FIG. 8 shows the energy savings amount by the modeling unit of the building energy savings management server according to FIG. 1 using an identification code. This is an example to explain providing data.

Referring to FIGS. 1 and 7 , the building energy savings management server 100 according to an embodiment of the present invention may further include a modeling unit 160.

The modeling unit 160 models areas within the building and generates a data model 161 according to the amount of energy savings. The modeling unit 160 may collect energy savings data by zone from the savings calculation unit 130 and create a 3D model. For example, the modeling unit 160 may divide the energy savings by section and generate the data model 161 in different colors. In this case, the color of each section according to the amount of energy savings may vary depending on the user's settings. Figure 5(a) shows that different colors are displayed according to the amount of energy savings for each floor within one building. (b) shows that even within the same floor, colors are displayed differently depending on the amount of energy savings for each zone. This is to allow managers to easily determine the energy savings status of the entire building using the three-dimensional data model (161).

Additionally, the modeling unit 160 can provide energy savings to the user using the identification code 162 formed in the area within the building. Here, the identification code 162 may be a barcode, QR code, AR code, or NFC tag, but is not necessarily limited thereto. As shown in FIG. 8 , when the identification code 162 of a zone is obtained and transmitted from the user terminal 20, the modeling unit 160 can transmit the energy saving amount of the zone to the user terminal 20. This is to allow users in areas within the building to check the amount of energy saved and environmental information in their area. In this case, the user can easily check the amount of energy saved or environmental information for each period in his or her area through the user terminal 20.

In the above, the present invention has been described focusing on preferred embodiments described with reference to the drawings, but is not limited thereto. Accordingly, the present invention should be construed by the recitation of the claims, which are intended to cover obvious modifications that may be derived from the described embodiments.

100: Building energy management server
110: Usage collection unit
120: Environmental Information Collection Department
121: Climate Information Collection Department
122: Occupancy rate analysis department
123: Fine dust detection unit
130: Savings calculation unit
140: Fire detection unit
150: Equipment control unit
160: modeling department
161: Data model
162: Identification code

Claims (5)

A usage collection unit that collects energy usage for each facility that consumes at least one of electricity, gas, and water in the building;
An environmental information collection department that collects environmental information on climate and occupancy rate for the building;
Set a modified baseline in which the baseline, which is the energy usage in the first time section, is modified to correspond to the environmental information in the second time section, and compare the modified baseline with the energy usage in the second time section. a savings calculation unit that calculates energy savings, calculates facility costs using the energy efficiency and remaining use period of the facility, and recommends replacement facilities that can be replaced at a cost less than the facility cost;
A fire detection unit that detects a fire within the building;
Depending on the calculated amount of energy savings, the operating conditions for the facility are controlled to match the preset amount of savings. However, if a fire is detected, the facility is controlled to an emergency condition, and a fire extinguishing tube installed on one side of the facility and storing fire extinguishing fluid is driven. a facility control unit that extinguishes the fire; and
Data on the energy savings are collected for each zone within the building to create a 3D data model in which colors are displayed differently depending on the energy savings, and when the identification code formed in the zone is obtained and transmitted from the user terminal, the A building energy management system for fire detection that includes a modeling unit that transmits energy savings to the user terminal. According to paragraph 1,
The usage collection department,
A building energy management system for fire detection that collects the energy usage from a smart meter installed in the building, and outputs a fault signal when the energy usage exceeds a preset normal range. According to paragraph 1,
The environmental information collection department,
A climate information collection unit that collects climate information including indoor and outdoor temperature and humidity of the building; and
A building energy management system for fire detection that includes an occupancy rate analysis unit that divides the indoor space within the building into preset sections and analyzes the occupancy rate using carbon dioxide concentration or image information. According to paragraph 3,
The occupancy rate analysis unit,
A building energy management system for fire detection that sets an area in the indoor space where the user's movement line overlap is greater than a preset value as a representative zone and analyzes the occupancy rate for the representative zone. delete