Energy-saving system based on video monitoring

Abstract

The invention relates to the technical field of energy conservation, in particular to an energy-saving system based on video surveillance, which comprises a data acquisition port, a people stream evaluation port and a self-adaptive energy-saving control port, and is characterized in that the data acquisition port is used for acquiring real-time video streams at corridors and entrances and regional temperature and illumination intensity; the people stream evaluation port is used for carrying out regional people stream evaluation according to the real-time video stream; and the self-adaptive energy-saving control port is used for environment comfort assessment and equipment load adjustment.

Description

Technical Field

[0001] The present invention relates to the technical field of energy conservation, and particularly to an energy-saving system based on video surveillance. Background Art

[0002] Traditional energy-saving systems usually rely on preset schedules or single sensors such as temperature and light to determine whether to activate the energy-saving mode. This method cannot reflect real-time and dynamic changes in the flow of people, resulting in inaccurate energy consumption management. Existing solutions often lack a detailed assessment of the flow of people within a region and cannot distinguish between high-flow and low-flow areas. This monitoring of a single indicator easily leads to some areas being in a state of excessive or too low energy consumption for a long time, thereby reducing the energy-saving effect.

[0003] When traditional systems adjust the device load, they often only focus on a single environmental parameter and fail to comprehensively consider multi-dimensional factors such as temperature and light, making it difficult to achieve the best energy consumption control while ensuring comfort. Summary of the Invention

[0004] In view of the deficiencies of the prior art, the present invention proposes an energy-saving system based on video surveillance. Through the data acquisition port, the present invention not only obtains real-time video streams in corridors and entrances, but also collects regional temperature and light intensity, thereby providing comprehensive environmental information for subsequent fine control. Using the people flow assessment port, a people flow density calculation module and a people flow dynamic detection module are designed in the solution. By calculating pixel differences and setting thresholds in combination with statistical methods, the system can effectively distinguish between high-people flow activity areas and low-people flow activity areas, ensuring that energy-saving decisions match the actual people flow situation. An adaptive energy-saving control port is introduced, combined with an environmental comfort feedback module and a device load adjustment module, to dynamically adjust the device operation strategy according to regional temperature, light data, and time-of-use electricity prices. When the environmental deviation value exceeds the set threshold, the system can promptly adjust to the low-energy consumption mode, thereby taking into account both energy consumption and comfort. Using video surveillance data and environmental information, the solution realizes a closed-loop feedback from people flow assessment to device load adjustment, and can adjust the energy consumption control strategy in real time and dynamically, overcoming the problems of untimely response and inaccurate adjustment of traditional systems.

[0005] To achieve the above object, the technical solution of the present invention is as follows:

[0006] An energy-saving system based on video surveillance, the system includes a data acquisition port, a people flow assessment port, and an adaptive energy-saving control port. The data acquisition port is used to collect real-time video streams in corridors and entrances, as well as regional temperature and light intensity. The people flow assessment port is used to perform regional people flow assessment according to the real-time video stream. The adaptive energy-saving control port is used to perform environmental comfort assessment and device load adjustment.

[0007] A further improvement of the present invention lies in that the pedestrian flow assessment port includes a pedestrian flow density calculation module, a pedestrian flow dynamic detection module, and an energy consumption level classification module; the pedestrian flow density calculation module is used to count the pedestrian flow density in the area; the pedestrian flow dynamic detection module is used to evaluate the pedestrian flow dynamics according to each frame of the video stream, and divide the high pedestrian flow activity module and the low pedestrian flow activity module; the energy consumption level classification module is used to classify the energy consumption levels of different areas.

[0008] A further improvement of the present invention lies in that the adaptive energy-saving control port includes an environmental comfort feedback module and a device load adjustment module. The environmental comfort feedback module is used to calculate the environmental deviation value according to the regional temperature and light intensity; the device load adjustment module is used to adjust the device operation strategy according to the environmental deviation value and the time-of-use electricity price.

[0009] A further improvement of the present invention lies in that the pedestrian flow density calculation module is used to count the pedestrian flow density in the area, and the calculation formula for the pedestrian flow density in the area is:

[0010]

[0011] Wherein, A represents the monitored area, with the unit of square meters, P represents the number of people in the area, and D represents the pedestrian flow density.

[0012] A further improvement of the present invention lies in that the steps of dividing the high pedestrian flow activity module and the low pedestrian flow activity module include the following specific steps:

[0013] S11. According to each frame of the video stream, calculate the total pixel difference S between two adjacent frames. The calculation formula is: S represents the regional pedestrian flow activity coefficient, N×M is the video frame resolution, I t (x,y) represents the pixel value at the regional position (x,y) of the current frame, I t-1 (x,y) represents the pixel value at the regional position (x,y) of the previous frame;

[0014] S12. Preset the pedestrian flow activity coefficient threshold T, T = μ S +2σ S ; μ S is the regional average activity intensity, σ S is the standard deviation. When S>T, it is determined as a high pedestrian flow activity area. When S≤T, it is determined as a low pedestrian flow activity area.

[0015] A further improvement of the present invention lies in that the specific content of classifying the energy consumption levels of different areas is: when D<0.1 and S≤T, it is determined as a low energy consumption level. When 0.1≤D<0.5 or S>T, it is determined as a medium energy consumption level. When D≥0.5, it is determined as a high energy consumption level.

[0016] A further improvement of the present invention lies in that the calculation formula of the environmental deviation value is as follows:

[0017]

[0018] where E is the regional environmental deviation value, T env is the regional temperature, T set is the regional temperature comparison value, L env is the regional light intensity, L set is the regional light intensity comparison value, and α and β are weight factors respectively.

[0019] A further improvement of the present invention lies in that the specific content of adjusting the device operation strategy according to the environmental deviation value and time-of-use electricity price is as follows: when the regional environmental deviation value is greater than the deviation threshold and the time-of-use electricity price is greater than the electricity price threshold, it is forced to enter the low-energy consumption mode.

[0020] The technical effects of the present invention are as follows:

[0021] Through the data acquisition port, the present invention not only obtains the real-time video streams in the corridor and at the entrance, but also collects the regional temperature and light intensity, thus providing comprehensive environmental information for subsequent fine control; by using the pedestrian flow evaluation port, a pedestrian flow density calculation module and a pedestrian flow dynamic detection module are designed in the solution. By calculating the pixel difference and setting the threshold in combination with statistical methods, the system can effectively distinguish the high-pedestrian flow activity area from the low-pedestrian flow activity area, ensuring that the energy-saving decision-making matches the actual pedestrian flow situation. An adaptive energy-saving control port is introduced, combined with the environmental comfort feedback module and the device load adjustment module, to dynamically adjust the device operation strategy according to the regional temperature, light data and time-of-use electricity price. When the environmental deviation value exceeds the set threshold, the system can timely adjust to the low-energy consumption mode, thus taking into account both energy consumption and comfort; by using the video surveillance data and environmental information, the solution realizes the closed-loop feedback from pedestrian flow evaluation to device load adjustment, and can adjust the energy consumption control strategy in real time and dynamically, overcoming the problems of untimely response and inaccurate adjustment of traditional systems. Description of the Drawings

[0022] Other features, purposes and advantages of the present invention will become more obvious by reading the detailed description of the non-limiting embodiments with reference to the following drawings:

[0023] Figure 1 It is a schematic structural diagram of the energy-saving system based on video surveillance of the present invention. Detailed Embodiments

[0024] Embodiment 1

[0025] Energy-saving system based on video surveillance, the system includes a data acquisition port, a pedestrian flow assessment port and an adaptive energy-saving control port. The data acquisition port is used to collect real-time video streams in corridors and entrances, as well as regional temperature and light intensity. The pedestrian flow assessment port is used to conduct regional pedestrian flow assessment based on the real-time video stream. The adaptive energy-saving control port is used to conduct environmental comfort assessment and equipment load adjustment.

[0026] In this embodiment, the pedestrian flow assessment port includes a pedestrian flow density calculation module, a pedestrian flow dynamic detection module and an energy consumption level division module. The pedestrian flow density calculation module is used to count the pedestrian flow density in the area. The pedestrian flow dynamic detection module is used to conduct pedestrian flow dynamic assessment according to each frame of the video stream, and divide the high pedestrian flow activity module and the low pedestrian flow activity module. The energy consumption level division module is used to divide the energy consumption levels of different areas.

[0027] In this embodiment, the adaptive energy-saving control port includes an environmental comfort feedback module and an equipment load adjustment module. The environmental comfort feedback module is used to calculate the environmental deviation value according to the regional temperature and light intensity. The equipment load adjustment module is used to adjust the equipment operation strategy according to the environmental deviation value and the time-of-use electricity price.

[0028] In this embodiment, the pedestrian flow density calculation module is used to count the pedestrian flow density in the area, and the calculation formula for the pedestrian flow density in the area is:

[0029]

[0030] where A represents the monitored area, in square meters, P represents the number of people in the area, and D represents the pedestrian flow density.

[0031] In this embodiment, the steps of dividing the high pedestrian flow activity module and the low pedestrian flow activity module include the following specific steps:

[0032] S11. According to each frame of the video stream, calculate the total pixel difference S between two adjacent frames, and the calculation formula is: S represents the regional pedestrian flow activity coefficient, N×M is the video frame resolution, I t (x,y) represents the pixel value at the regional position (x,y) in the current frame, I t-1 (x,y) represents the pixel value at the regional position (x,y) in the previous frame;

[0033] S12. Preset the pedestrian flow activity coefficient threshold T, T = μ S +2σ S ; μ S is the regional average activity intensity, σ SLet S be the standard deviation. When S > T, it is determined as a high pedestrian flow activity area; when S ≤ T, it is determined as a low pedestrian flow activity area.

[0034] In this embodiment, the specific content of dividing the energy consumption levels of different regions is as follows: when D < 0.1 and S ≤ T, it is determined as a low energy consumption level; when 0.1 ≤ D < 0.5 or S > T, it is determined as a medium energy consumption level; when D ≥ 0.5, it is determined as a high energy consumption level.

[0035] In this embodiment, the calculation formula for the environmental deviation value is:

[0036]

[0037] where E is the regional environmental deviation value, T env is the regional temperature, T set is the regional temperature comparison value, L env is the regional light intensity, L set is the regional light intensity comparison value, and α and β are weight factors respectively.

[0038] In this embodiment, the specific content of adjusting the device operation strategy according to the environmental deviation value and time-of-use electricity price is: when the regional environmental deviation value is greater than the deviation threshold and the time-of-use electricity price is greater than the electricity price threshold, it is forced to enter the low energy consumption mode.

[0039] It should be understood that in various embodiments of the present application, the magnitudes of the sequence numbers of the above processes do not mean the order of execution. The execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

[0040] It should be understood that determining B based on A does not mean determining B only based on A, but also B can be determined based on A and / or other information.

[0041] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the processes or functions according to the embodiments of the present invention are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or a data center that contains one or more collections of available media. The available media can be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state drive.

[0042] Those of ordinary skill in the art will realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed in the present invention can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. A professional technician can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0043] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0044] In several embodiments provided by the present invention, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is only one way, and there can be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of the devices or units can be in electrical, mechanical, or other forms.

[0045] The unit described as a separation component may or may not be physically separated. The component shown as a unit may or may not be a physical unit, that is, it may be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0046] In addition, each functional unit in various embodiments of the present invention may be integrated in a processing unit, may exist separately as individual physical units, or two or more units may be integrated in one unit.

[0047] In the description of this specification, the description with reference to terms such as "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0048] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the present invention to only the specific implementation manners. Obviously, according to the content of this specification, many modifications and changes can be made. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and utilize the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. An energy-saving system based on video surveillance, characterized in that, The system includes a data acquisition port, a pedestrian flow assessment port, and an adaptive energy-saving control port. The data acquisition port is used to collect real-time video streams in corridors and at entrances, as well as regional temperature and light intensity. The pedestrian flow assessment port is used to conduct regional pedestrian flow assessment based on the real-time video streams. The adaptive energy-saving control port is used to conduct environmental comfort assessment and equipment load adjustment.

2. The energy-saving system based on video surveillance according to claim 1, characterized in that, The pedestrian flow assessment port includes a pedestrian flow density calculation module, a pedestrian flow dynamic detection module, and an energy consumption level classification module. The pedestrian flow density calculation module is used to count the pedestrian flow density in the region. The pedestrian flow dynamic detection module is used to conduct pedestrian flow dynamic assessment based on each frame of the video stream, and divide the high pedestrian flow activity module and the low pedestrian flow activity module. The energy consumption level classification module is used to classify the energy consumption levels of different regions.

3. The energy-saving system based on video surveillance according to claim 2, characterized in that, The adaptive energy-saving control port includes an environmental comfort feedback module and an equipment load adjustment module. The environmental comfort feedback module is used to calculate the environmental deviation value based on the regional temperature and light intensity. The equipment load adjustment module is used to adjust the equipment operation strategy according to the environmental deviation value and time-of-use electricity price.

4. The energy-saving system based on video monitoring according to claim 3, wherein The pedestrian flow density calculation module is used to count the pedestrian flow density in the region, and the calculation formula for the pedestrian flow density in the region is: where A represents the monitored area in square meters, P represents the number of people in the region, and D represents the pedestrian flow density.

5. The energy-saving system based on video surveillance according to claim 4, characterized in that, The specific steps for dividing the high pedestrian flow activity module and the low pedestrian flow activity module include the following: S11. Calculate the total pixel difference S between two adjacent frames based on the video stream of each frame. The calculation formula is as follows: S represents the regional pedestrian flow activity coefficient, N×M is the video frame resolution, and I t (x,y) represents the pixel value at the regional position (x,y) in the current frame, and I t-1 (x,y) represents the pixel value at the regional position (x,y) in the previous frame; S12. The preset human flow activity coefficient threshold T, where T = μ S + 2σ S ; μ S is the regional average activity intensity, and σ S is the standard deviation. When S > T, it is determined as a high human flow activity area; when S ≤ T, it is determined as a low human flow activity area.

6. The energy-saving system based on video surveillance according to claim 5, characterized in that, The specific content of classifying the energy consumption levels of different regions is: when D < 0.1 and S ≤ T, it is determined as a low energy consumption level; when 0.1 ≤ D < 0.5 or S > T, it is determined as a medium energy consumption level; when D ≥ 0.5, it is determined as a high energy consumption level.

7. The energy-saving system based on video surveillance according to claim 6, wherein, The calculation formula for the environmental deviation value is: Among them, E is the regional environmental deviation value, T env is the regional temperature, T set is the regional temperature comparison value, L env is the regional light intensity, L set is the regional light intensity comparison value, and α and β are weight factors respectively.

8. The energy-saving system based on video surveillance according to claim 7, characterized in that, The specific content of adjusting the equipment operation strategy according to the environmental deviation value and time-of-use electricity price is: when the regional environmental deviation value is greater than the deviation threshold and the time-of-use electricity price is greater than the electricity price threshold, it is forced to enter the low energy consumption mode.

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