Intelligent building energy-saving automatic control system

Abstract

The utility model discloses an intelligent building energy-saving automatic control system, comprising a photosensitive sensor group which is installed at a plurality of preset positions of a building and is used for obtaining the number of light sources when the light sources are detected and sending the number of the light sources to a comparator; the first comparator is in communication connection with the photosensitive sensor group, and is used for obtaining a first signal when the number of the light sources is received and the number of the light sources is not greater than a preset threshold value, and sending the first signal to the control terminal; the control terminal is in communication connection with the first comparator and used for obtaining a second signal and a third signal after receiving the first signal, sending the second signal to the light set and sending the third signal to the air conditioning equipment set; the light group is in communication connection with the control terminal and is used for adjusting the operation mode into a preset mode after receiving the second signal; and the air conditioning equipment group is in communication connection with the control terminal and is used for stopping running after receiving the third signal. And the accuracy of building energy-saving control is improved.

Description

Technical Field

[0001] The utility model relates to the field of energy-saving control, in particular to an intelligent building energy-saving automatic control system. Background Art

[0002] With the continuous improvement of environmental awareness and the continuous increase in energy consumption, energy conservation has become increasingly important. In large buildings, such as large supermarkets, due to their large area, there are many places that need to consume electricity, and the power consumption is very huge.

[0003] In the related technology, for example, a Chinese patent (publication number CN115598990A) discloses a building automatic energy-saving control system, including: an office time management module: obtaining the company's office work and rest schedule, the behavior information of the personnel in the company area, and the environmental information in the company area; an area division module: dividing the company area into a work office area and a customer reception area, the work office area includes a conference room, a toilet and an office area, and the customer reception area includes a smoking reception room, a non-smoking reception room and a front desk; the effect is that the company's office work and rest schedule, the behavior information of the personnel in the company area, and the environmental information in the company area are formulated according to the company's regulations, and after the formulation, the working hours, lunch break time and off-duty time are filled in the building automatic energy-saving control system, and the building automatic energy-saving control system turns on the lights in the company area during working hours and turns off the lights in the company area during off-duty hours to achieve the purpose of energy saving.

[0004] However, in the above technical solution, some companies or employees still need to work during non-working hours. If the lights in the company area are turned off uniformly after get off work, it will cause certain obstacles to employees who are still working overtime in the company, that is, there is a problem of inaccurate energy-saving control. Utility Model Content

[0005] In order to solve the above problems and deficiencies in the prior art, the purpose of the present invention is to provide an intelligent building energy-saving automatic control system, which can improve the accuracy of building energy-saving control.

[0006] To achieve the above objectives, in a first aspect, the present application provides an intelligent building energy-saving automatic control system, the system comprising:

[0007] A light sensor group is installed at several preset locations of the building, and is used to obtain the number of light sources when a light source is detected, and send the number of light sources to a comparator;

[0008] a first comparator, communicatively connected to the light sensor group, configured to obtain a first signal when the number of light sources is received and the number of light sources is not greater than a preset threshold, and send the first signal to the control terminal;

[0009] a control terminal, communicatively connected to the first comparator, configured to obtain a second signal and a third signal after receiving the first signal, and send the second signal to the lighting group and the third signal to the air conditioning equipment group;

[0010] The lighting group is in communication with the control terminal and is configured to adjust the operating mode to a preset mode after receiving the second signal;

[0011] The air conditioning equipment group is communicatively connected to the control terminal and is configured to stop operation after receiving a third signal.

[0012] In the above embodiment, a photosensor group, a comparator, and a control terminal are provided to achieve automated control of a building's internal light sources, lighting, and air conditioning. When the photosensors detect that the number of light sources within the building falls below a preset threshold, the comparator sends a signal to the control terminal, which then adjusts the lighting group to a preset energy-saving mode and simultaneously shuts down the air conditioning group. This adaptive control strategy, based on actual light levels, minimizes unnecessary energy waste while ensuring basic lighting needs, thereby improving the accuracy of building energy-saving control.

[0013] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0014] A camera group is used to capture real-time video of the building, obtain real-time pedestrian flow, and send the real-time pedestrian flow to the second comparator;

[0015] a second comparator, communicatively connected to the camera group, configured to obtain a fourth signal when receiving real-time human flow and the real-time human flow is not greater than a preset human flow, and to send the fourth signal to the timing device;

[0016] The timing device is communicatively connected to the second comparator, and is used to obtain the current time when receiving the fourth signal, and send the current time to the control terminal.

[0017] In the above embodiment, camera groups and human flow analysis functions are further introduced to achieve real-time monitoring of the flow of people within the building. When the flow of people is lower than the preset threshold, the system can further adjust the operating status of equipment such as lights and air conditioners to adapt to actual usage needs. Late at night or on weekends when the flow of people is low, the system can automatically turn off the lighting and air conditioning in some areas, and resume normal operation during rush hour. By dynamically matching energy supply with actual demand, the system can maximize the building's energy-saving potential without affecting normal office and life. In addition, the system also introduces a timing device, which can set different control strategies according to time periods, further improving the flexibility and adaptability of control.

[0018] In combination with some embodiments of the first aspect, in some embodiments, an environmental monitoring device is also included, which consists of a temperature detection module, a humidity monitoring module and an air quality detection module. The temperature detection module, the humidity monitoring module and the air quality detection module are all communicatively connected to the control terminal, and the signal output ends of the temperature detection module, the humidity monitoring module and the air quality detection module are all communicatively connected to the environmental monitoring device, and are used to respectively detect environmental information such as temperature, humidity and air quality in different intervals and time periods inside the building, and send the collected information to the control terminal.

[0019] In the above embodiment, an environmental monitoring device consisting of temperature, humidity, and air quality detection modules is installed to comprehensively monitor the environmental quality within the building. By collecting environmental data from different areas and time periods, the system can dynamically adjust the operating parameters of air conditioning, fresh air, humidification, and other equipment according to a preset comfort model, thereby saving energy while ensuring the quality of the indoor environment. When the CO2 concentration in a certain area exceeds the standard, the system can increase the fresh air volume to improve air quality; when the temperature is too low, the system can increase the heating capacity of the air conditioner to meet heating needs. This environmentally aware energy-saving solution not only reduces energy consumption but also improves the health and comfort of people within the building.

[0020] In combination with some embodiments of the first aspect, in some embodiments, after receiving the information, the control terminal obtains a fifth signal and sends the fifth signal to the air conditioning equipment.

[0021] In the above embodiment, the control terminal will generate corresponding control instructions based on the internal building environmental information collected by the environmental monitoring equipment, and send them to the air conditioning equipment. This control closed loop based on environmental feedback can achieve real-time matching of the internal building environmental parameters and the air conditioning operating status, avoiding the disadvantages of the traditional constant set value control method. For example, in winter when the temperature is lower, the system can automatically increase the target temperature of the air conditioner to reduce heating energy consumption; in the case of poor air quality, the system can appropriately increase the proportion of fresh air to improve indoor air quality. In addition, since environmental parameters often show dynamic distribution characteristics inside the building, different areas can be optimized and controlled separately to further tap the energy-saving potential. In short, the present invention realizes dynamic matching between the demand side and the supply side through environmental perception and intelligent analysis, which can significantly improve the energy efficiency level of the building air-conditioning system.

[0022] In combination with some embodiments of the first aspect, in some embodiments, an air conditioning device is further included, which is communicatively connected to the control terminal and is configured to start a preset mode after receiving the fifth signal.

[0023] In the above embodiment, the air conditioning equipment with a preset energy-saving mode is introduced to make the energy-saving control of the system more automated.

[0024] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0025] The infrared sensor is configured to generate a sixth signal when detecting a person passing by, and send the sixth signal to the light group;

[0026] The light group is communicatively connected to the infrared sensor and is further configured to turn on the lighting mode when a sixth signal is received.

[0027] The above-mentioned embodiment further incorporates a coordinated control function between infrared sensors and lighting groups, enabling real-time sensing and response to human activity within the building. Traditional timed or manual lighting control methods often suffer from errors and waste energy. This invention, however, utilizes infrared sensors to accurately detect the time and location of people passing by and promptly issues on-off commands to the lighting groups. This allows the lighting system to adapt to the flow of people, turning on lights as needed and off when people leave.

[0028] In combination with some embodiments of the first aspect, in some embodiments, the camera group further includes a feature recognition unit, the feature recognition unit includes a facial feature recognition subunit, and the facial feature recognition subunit is used to recognize facial feature information of a person.

[0029] In the above embodiment, the system can identify and confirm the identity of people entering the building. Using facial recognition technology, the authenticity of the identity of the person can be accurately determined to prevent illegal intrusion and impersonation.

[0030] In combination with some embodiments of the first aspect, in some embodiments, a storage unit is further included, which is communicatively connected to the camera group and is used to store real-time video of the camera group.

[0031] In the above embodiment, a storage unit for storing real-time video of the camera group is provided, which provides strong data support for building safety management.

[0032] In combination with some embodiments of the first aspect, in some embodiments, the camera group is provided with an image optimization module for optimizing the real-time video. The optimization processing includes reducing the attenuation of the video image signal during the transmission process, reducing the introduction of noise, and controlling the video image signal transmission to have a flat amplitude-frequency characteristic and phase-frequency characteristic.

[0033] In the above embodiment, the camera assembly also includes an image optimization module for enhancing the quality of real-time video. Due to the complex and ever-changing internal environment of buildings, surveillance footage often suffers from issues such as signal attenuation and noise interference, which impacts video clarity and recognition accuracy. The introduction of this image optimization module can effectively mitigate these disadvantages.

[0034] In combination with some embodiments of the first aspect, in some embodiments, a power supply is further included to supply power to the air conditioning equipment.

[0035] In the above embodiment, power guarantee is provided for the reliable operation of the system.

[0036] The intelligent building energy-saving automatic control system provided in the embodiments of the present application has at least the following technical effects or advantages:

[0037] 1. A photosensitive sensor group, comparator, and control terminal are configured to automatically control the building's internal light sources, lighting, and air conditioning. When the photosensitive sensor detects that the number of light sources within the building falls below a preset threshold, the comparator sends a signal to the control terminal, which then adjusts the lighting group to a preset energy-saving mode and shuts down the air conditioning group. This adaptive control strategy, based on actual light levels, ensures basic lighting needs while minimizing unnecessary energy waste and improving the accuracy of building energy-saving control.

[0038] 2. The system further introduced camera groups and human traffic analysis capabilities, enabling real-time monitoring of the flow of people within the building. When human traffic falls below a preset threshold, the system can further adjust the operating status of equipment such as lighting and air conditioning to meet actual usage needs. Late at night or on weekends when human traffic is low, the system can automatically shut down lighting and air conditioning in certain areas, resuming normal operation during peak working hours. By dynamically matching energy supply with actual demand, the system can maximize the building's energy-saving potential without affecting normal office and daily life. In addition, the system also introduces a timing device that can set different control strategies according to time periods, further improving the flexibility and adaptability of control.

[0039] 3. The control terminal will generate corresponding control instructions based on the internal environmental information of the building collected by the environmental monitoring equipment, and send them to the air conditioning equipment. This control closed loop based on environmental feedback can achieve real-time matching of the internal environmental parameters of the building and the operating status of the air conditioner, avoiding the disadvantages of the traditional constant set value control method. For example, in winter when the temperature is lower, the system can automatically increase the target temperature of the air conditioner to reduce heating energy consumption; in the case of poor air quality, the system can appropriately increase the proportion of fresh air to improve indoor air quality. In addition, since environmental parameters often show dynamic distribution characteristics inside the building, different areas can be optimized and controlled separately to further tap the energy-saving potential. In short, the present invention realizes dynamic matching between the demand side and the supply side through environmental perception and intelligent analysis, which can significantly improve the energy efficiency level of the building air-conditioning system. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a module connection diagram of an embodiment of the present utility model.

[0041] Figure 2 This is another module connection diagram of an embodiment of the present utility model.

[0042] Figure 3 It is a schematic diagram of an exemplary scenario using an embodiment of the present utility model.

[0043] Description of reference numerals:

[0044] 1. Photosensor; 2. First comparator; 3. Control terminal; 4. Lighting group; 5. Air conditioning equipment; 6. Camera group; 601. Feature recognition unit; 602. Image optimization module; 6011. Facial feature recognition subunit; 7. Second comparator; 8. Timing device; 9. Environmental monitoring equipment; 10. Air conditioning equipment; 11. Infrared sensor; 12. Storage unit; 13. Power supply; 14. Building. DETAILED DESCRIPTION

[0045] The terms used in the following examples of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in the specification and appended claims of this application, the singular expressions "a," "an," "said," "above," "the," and "this" are intended to include plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in this application refers to any or all possible combinations comprising one or more of the listed items.

[0046] In the following, the terms "first" and "second" are used for descriptive purposes only and should not be understood to imply or suggest relative importance or implicitly indicate the number of the technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of this application, unless otherwise specified, "plurality" means two or more.

[0047] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0048] The present invention provides an intelligent building energy-saving automatic control system. Figure 1 As shown, Figure 1 This is a module connection diagram of an embodiment of the utility model, including:

[0049] The light sensor group 1 is installed at several preset positions of the building 14 and is used to obtain the number of light sources when detecting light sources and send the number of light sources to the comparator;

[0050] The first comparator 2 is communicatively connected to the light sensor group 1, and is configured to obtain a first signal when the number of light sources is received and the number of light sources is not greater than a preset threshold, and send the first signal to the control terminal 3;

[0051] The control terminal 3 is in communication with the first comparator 2, and is configured to obtain a second signal and a third signal after receiving the first signal, and send the second signal to the lighting group 4 and the third signal to the air conditioning equipment group 5;

[0052] The lighting group 4 is in communication with the control terminal 3 and is configured to adjust the operating mode to the preset mode after receiving the second signal;

[0053] The air conditioning device group 5 is in communication with the control terminal 3 and is configured to stop operation after receiving the third signal;

[0054] Environmental monitoring device 9, which consists of a temperature detection module, a humidity monitoring module, and an air quality detection module. The temperature detection module, humidity monitoring module, and air quality detection module are all communicatively connected to the control terminal 3. The signal output ends of the temperature detection module, humidity monitoring module, and air quality detection module are all communicatively connected to the environmental monitoring device 9, and are used to respectively detect environmental information such as temperature, humidity, and air quality in different areas and time periods inside the building, and send the collected information to the control terminal 3;

[0055] The air conditioning device 10 is in communication with the control terminal 3 and is configured to start a preset mode after receiving the fifth signal;

[0056] The infrared sensor 11 is configured to generate a sixth signal when detecting a person passing by, and send the sixth signal to the light group 4;

[0057] Lighting group 4 is in communication with the infrared sensor 11 and is further configured to activate the lighting mode upon receiving the sixth signal;

[0058] The power supply 13 is used to supply power to the air conditioning device 10 .

[0059] The above embodiment has the following beneficial effects:

[0060] A photosensitive sensor group, comparator, and control terminal are used to automatically control the building's internal light sources, lighting, and air conditioning. When the photosensitive sensors detect that the number of light sources within the building falls below a preset threshold, the comparator sends a signal to the control terminal, which then adjusts the lighting group to a preset energy-saving mode and shuts down the air conditioning group. This adaptive control strategy, based on actual light levels, minimizes unnecessary energy waste while ensuring basic lighting needs, improving the accuracy of building energy-saving control.

[0061] Environmental monitoring equipment, consisting of temperature, humidity, and air quality detection modules, is installed to comprehensively monitor the building's internal environmental quality. By collecting environmental data from different areas and time periods, the system dynamically adjusts the operating parameters of air conditioning, fresh air, humidification, and other equipment based on a preset comfort model, thereby saving energy while ensuring indoor environmental quality. When CO2 concentrations in a certain area exceed the standard, the system can increase the fresh air volume to improve air quality; when temperatures are too low, the system can increase the heating capacity of the air conditioner to meet heating needs. This environmentally aware energy-saving solution not only reduces energy consumption but also improves the health and comfort of building occupants.

[0062] The control terminal will generate corresponding control instructions based on the internal environmental information of the building collected by the environmental monitoring equipment, and send them to the air conditioning equipment. This control closed loop based on environmental feedback can achieve real-time matching of the internal environmental parameters of the building and the operating status of the air conditioner, avoiding the disadvantages of the traditional constant set value control method. For example, in winter when the temperature is lower, the system can automatically increase the target temperature of the air conditioner to reduce heating energy consumption; in the case of poor air quality, the system can appropriately increase the proportion of fresh air to improve indoor air quality. In addition, since environmental parameters often show dynamic distribution characteristics inside the building, different areas can be optimized and controlled separately to further tap the energy-saving potential. In short, the present invention realizes dynamic matching between the demand side and the supply side through environmental perception and intelligent analysis, which can significantly improve the energy efficiency level of the building air-conditioning system.

[0063] The introduction of air conditioning equipment with preset energy-saving modes makes the system's energy-saving control more automated.

[0064] The integrated control of infrared sensors and lighting groups further enables real-time sensing and response to building activity. Traditional timed or manual lighting control methods often suffer from errors and waste energy. This invention, however, uses infrared sensors to accurately detect the time and location of people passing by and promptly issues power-on commands to the lighting groups. This allows the lighting system to adapt to the flow of people, turning on lights as needed and off when people leave.

[0065] The camera array also features an image optimization module to enhance the quality of real-time video. Due to the complex and ever-changing internal building environment, surveillance footage often suffers from signal attenuation and noise interference, which compromises video clarity and recognition accuracy. The image optimization module effectively mitigates these challenges.

[0066] For ease of understanding, the following describes the modules of the system provided by this implementation in combination with the above scenarios. Figure 2 , Figure 2 This is another module connection diagram of an embodiment of the present utility model.

[0067] The system also includes:

[0068] The camera group 6 is used to capture real-time video of the building, obtain real-time pedestrian flow, and send the real-time pedestrian flow to the second comparator 7. The camera group 6 also includes a feature recognition unit 601, which includes a facial feature recognition subunit 6011 for recognizing facial feature information of a person. The camera group 6 is provided with an image optimization module 602 for optimizing the real-time video. The optimization processing includes reducing the attenuation of the video image signal during transmission, reducing the introduction of noise, and controlling the video image signal transmission to have flat amplitude-frequency characteristics and phase-frequency characteristics.

[0069] The second comparator 7 is in communication with the camera group 6 and is configured to obtain a fourth signal when receiving a real-time pedestrian flow rate and the real-time pedestrian flow rate is not greater than a preset pedestrian flow rate, and send the fourth signal to the timing device 8;

[0070] a timing device 8, in communication with the second comparator 7, for obtaining the current time upon receiving the fourth signal, and sending the current time to the control terminal 3;

[0071] It also includes a storage unit 12, which is communicatively connected to the camera group 6 and is used to store real-time video of the camera group 6.

[0072] The above embodiment has the following beneficial effects:

[0073] The introduction of camera groups and human traffic analysis capabilities enables real-time monitoring of the flow of people within the building. When human traffic falls below a preset threshold, the system can further adjust the operating status of equipment such as lighting and air conditioning to accommodate actual usage needs. Late at night or on weekends, when traffic is low, the system can automatically shut down lighting and air conditioning in certain areas, resuming normal operation during rush hour. By dynamically matching energy supply with actual demand, the system maximizes the building's energy-saving potential without impacting normal office and daily life. Furthermore, the system incorporates a timing device that allows different control strategies to be set based on time periods, further enhancing control flexibility and adaptability.

[0074] This enables the system to identify and confirm the identities of people entering the building. Utilizing facial recognition technology, it can accurately determine the authenticity of a person's identity and prevent illegal intrusions, impersonation, and other violations.

[0075] A storage unit is set up to store real-time video of the camera group, providing strong data support for building safety management.

[0076] The camera array also features an image optimization module to enhance the quality of real-time video. Due to the complex and ever-changing internal building environment, surveillance footage often suffers from signal attenuation and noise interference, which compromises video clarity and recognition accuracy. The image optimization module effectively mitigates these challenges.

[0077] For ease of understanding, the following describes the application scenario diagram of the embodiment of this application. Figure 3 , Figure 3 It is a schematic diagram of an exemplary scenario using an embodiment of the present utility model.

[0078] Figure 3 In the present invention, light sensor groups 1 are installed in various areas of building 14, such as the lobby, corridors, offices, and conference rooms, to detect ambient light intensity in real time. When sufficient light is present, light sensor group 1 sends the detected number of light sources to first comparator 2. First comparator 2 determines whether the number of light sources exceeds a preset threshold. If not, it sends a first signal to control terminal 3.

[0079] Control Terminal 3 is the core of the entire system, responsible for coordinating the operations of various components. Upon receiving the first signal, Control Terminal 3 immediately responds by sending a second signal to Lighting Group 4, instructing it to switch to a preset energy-saving mode. Simultaneously, it sends a third signal to Air Conditioning Group 5, instructing it to cease operation to avoid unnecessary energy consumption.

[0080] Cameras 6 are also deployed at the main entrances and exits of building 14 and key areas to monitor personnel flow in real time. Equipped with advanced image analysis algorithms, camera 6 accurately counts the number of people in the image, generating real-time traffic flow data that is transmitted to a second comparator 7. When traffic flow is low, the second comparator 7 sends a fourth signal to a timer 8. Timer 8 records the current time and sends it to control terminal 3, providing a basis for subsequent energy-saving strategies.

[0081] In addition to adjusting lighting and air conditioning, the system also utilizes environmental monitoring equipment 9 to provide 24 / 7 monitoring of parameters such as temperature, humidity, and air quality within building 14. Environmental monitoring equipment 9 comprises multiple sensor modules: a temperature detection module, a humidity monitoring module, and an air quality detection module. These modules promptly transmit the collected environmental information to control terminal 3, providing data support for intelligent regulation. If a specific indicator exceeds the specified value, control terminal 3 will issue a fifth signal, triggering air conditioning equipment 10 to activate a preset mode, adjusting the indoor environment to ensure occupant comfort and health.

[0082] Infrared sensors 11 are also installed in areas with high human activity, such as conference room entrances. When someone passes by, the sensors quickly detect the heat source signal, generate a sixth signal, and transmit it to lighting group 4, instructing it to turn on the lighting mode. This allows the lighting system to automatically respond to user needs without manual operation.

[0083] Camera assembly 6 also integrates facial recognition capabilities. Through the facial feature recognition subunit 6011 (not labeled in the figure) of feature recognition unit 601 (not labeled in the figure), the system can accurately identify the identity of every person entering or exiting building 14. This not only provides security but also provides targeted energy-saving control. For example, if the system detects that a room has been unoccupied for a period of time, it can automatically shut off the lighting and air conditioning.

[0084] In addition, the system is equipped with a video storage unit 12 for storing surveillance footage and providing data for subsequent analysis. Meanwhile, the camera group 6 also includes an image optimization module 602 (not labeled in the figure) that can perform noise reduction and smoothing on the video to ensure image quality.

[0085] Finally, considering that the office building 14 has a heavy power load, especially the air conditioning system, the present invention also provides an independent power supply 13 to prevent the mains power fluctuation from affecting the equipment operation.

Claims

1. An intelligent building energy-saving automatic control system, characterized in that: include: A light sensor group is installed at several preset positions of the building, and is used to obtain the number of light sources when a light source is detected, and send the number of light sources to a comparator; a first comparator, communicatively connected to the light sensor group, configured to obtain a first signal when the number of light sources is received and the number of light sources is not greater than a preset threshold, and send the first signal to a control terminal; a control terminal, communicatively connected to the first comparator, configured to obtain a second signal and a third signal after receiving the first signal, and send the second signal to the lighting group and the third signal to the air conditioning equipment group; a lighting group, communicatively connected to the control terminal, configured to adjust an operating mode to a preset mode after receiving the second signal; The air conditioning equipment group is communicatively connected to the control terminal and is configured to stop operation after receiving the third signal.

2. The intelligent building energy-saving automatic control system according to claim 1, characterized in that: Also includes: a camera group, configured to capture real-time video of the building, obtain real-time pedestrian flow, and send the real-time pedestrian flow to a second comparator; a second comparator, communicatively connected to the camera group, configured to obtain a fourth signal when the real-time human flow is received and the real-time human flow is not greater than a preset human flow, and to send the fourth signal to a timing device; A timing device is communicatively connected to the second comparator, and is used to obtain the current time when receiving the fourth signal, and send the current time to the control terminal.

3. The intelligent building energy-saving automatic control system according to claim 1, characterized in that: It also includes an environmental monitoring device, which consists of a temperature detection module, a humidity monitoring module and an air quality detection module. The temperature detection module, the humidity monitoring module and the air quality detection module are all communicatively connected to the control terminal. The signal output ends of the temperature detection module, the humidity monitoring module and the air quality detection module are all communicatively connected to the environmental monitoring device, and are used to respectively detect environmental information including temperature, humidity and air quality in different intervals and time periods inside the building, and send the collected information to the control terminal.

4. The intelligent building energy-saving automatic control system according to claim 3, characterized in that: After receiving the information, the control terminal obtains a fifth signal and sends the fifth signal to the air conditioning device.

5. The intelligent building energy-saving automatic control system according to claim 4, characterized in that: It also includes an air conditioning device, which is communicatively connected to the control terminal and is used to start a preset mode after receiving the fifth signal.

6. The intelligent building energy-saving automatic control system according to claim 1, characterized in that: include: an infrared sensor, configured to generate a sixth signal when detecting a person passing by, and send the sixth signal to the light group; The light group is communicatively connected to the infrared sensor and is further configured to turn on the lighting mode when the sixth signal is received.

7. The intelligent building energy-saving automatic control system according to claim 2, characterized in that: The camera group further includes a feature recognition unit, which includes a facial feature recognition subunit, and the facial feature recognition subunit is used to recognize facial feature information of a person.

8. The intelligent building energy-saving automatic control system according to claim 2, characterized in that: It also includes a storage unit, which is communicatively connected to the camera group and is used to store the real-time video of the camera group.

9. The intelligent building energy-saving automatic control system according to claim 2, characterized in that: The camera group is provided with an image optimization module for optimizing the real-time video. The optimization processing includes reducing the attenuation of the video image signal during transmission, reducing the introduction of noise, and controlling the video image signal transmission to have flat amplitude-frequency characteristics and phase-frequency characteristics.

10. The intelligent building energy-saving automatic control system according to claim 5, characterized in that: It also includes a power supply for supplying power to the air conditioning equipment.

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