An energy-saving control method for air conditioning operation in enterprise offices

Abstract

This invention discloses an energy-saving control method for air conditioning operation in corporate offices. Its key feature is the monitoring of air conditioning operation in each office and the collection of personnel behavior information. This process determines whether energy-saving or energy-consuming behaviors exist and adjusts the energy-saving index accordingly. Based on the final energy-saving index values ​​for each office, offices with high values ​​are rewarded, while those with low values ​​are penalized. This method effectively solves the problem of difficult monitoring of air conditioning equipment in corporate office buildings, leading to increased energy costs for enterprises. It can better enhance office staff's awareness of energy conservation, promote the construction of green office environments, drive the development of intelligent building technologies, and better create economic benefits through energy conservation and emission reduction.

Description

Technical Field

[0001] This invention relates to the field of energy-saving control technology for air conditioning systems, and specifically to a method for energy-saving control of air conditioning operation in enterprise offices. Background Technology

[0002] Against the backdrop of increasingly scarce global energy resources and growing emphasis on environmental protection, energy consumption in corporate office buildings has become a major concern. The rapid development of central air conditioning systems in large public buildings in China has led to an increasing number of corporate office buildings installing such systems. However, as the number of floors and the building's size increase, the complex internal operating functions make the central air conditioning system larger and more intricate. This makes the management and control of central air conditioning increasingly difficult.

[0003] With the call for energy conservation and emission reduction, and the goal of enterprises to reduce operating costs, how to better reduce the energy consumption of office air conditioning has become a problem that enterprises need to consider and solve. Existing conventional energy-saving methods for office air conditioning all focus on improving the air conditioning's own operating strategy to produce energy-saving effects. However, in reality, different individuals have different air conditioning usage habits, and their perception and tolerance for hot and cold also vary. Therefore, the fixed operation strategy of air conditioning control is difficult to adapt to the different individual differences of different users, has a poor degree of humanization, and is not conducive to improving overall office efficiency.

[0004] Therefore, how to design an air conditioning energy-saving solution that can detect the specific air conditioning usage habits and tolerance to cold and heat of individuals in the office, assess their energy-saving level and provide feedback, and realize the autonomous adjustment and control of air conditioning operation to better improve the humanization level has become a problem that needs to be considered and solved by those skilled in the art. Summary of the Invention

[0005] To address the shortcomings of existing technologies, the technical problem this invention aims to solve is: how to provide a method for energy-saving control of office air conditioning that can detect the specific air conditioning usage habits and tolerance to hot and cold temperatures of individuals in the office, assess their energy-saving level and provide feedback, and enable autonomous adjustment and control of air conditioning operation, thereby improving the human-centered design of office air conditioning. This method will better enhance users' proactive energy-saving awareness, promote the construction of green office environments, and drive the development of human-machine integration in intelligent building technology.

[0006] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0007] A method for energy-saving control of air conditioning operation in enterprise offices is characterized by monitoring the operation of air conditioning in each office and collecting information on the behavior of personnel in each office, determining whether there are energy-saving and energy-consuming behaviors and adjusting the energy-saving index accordingly, and rewarding offices with high energy-saving index values ​​and penalizing offices with low energy-saving index values ​​based on the final obtained energy-saving index values ​​of each office.

[0008] This method, by objectively collecting data on the energy-saving and energy-consuming behaviors of office staff, determines their energy-saving index and rewards or penalizes them based on the index value, providing feedback to each staff member to help them adjust their behavior. This effectively encourages office users to proactively save energy. Therefore, this method improves human-machine interaction, enhances the humanization of energy-saving management, and raises users' proactive energy-saving awareness, thus better helping enterprises achieve energy conservation and consumption reduction. The rewards and penalties can be either moral (e.g., praise and criticism) or material (e.g., increases or decreases in bonuses).

[0009] Furthermore, the average energy consumption of each office unit over a given time period is collected to determine the trend of energy consumption changes and adjust the energy-saving index accordingly.

[0010] By combining the user situation with the overall office situation for a comprehensive assessment, we can make a more scientific and accurate judgment on the office's energy conservation status and better improve energy-saving results.

[0011] Furthermore, each office is rated according to its energy efficiency index, and the rating results are displayed in the company's public areas.

[0012] This can better motivate office staff to engage in energy-saving behaviors.

[0013] Furthermore, this method relies on an enterprise office air conditioning operation management system, which includes:

[0014] The personnel behavior perception module includes a wide-angle camera installed in the corner of the top of the office room. The wide-angle camera is used to capture the behavior of people in the office and is connected to the control center through a communication device. The personnel behavior perception module also includes a human presence sensor installed at the top of the door frame of the office room. The human presence sensor is used to sense the entry and exit of people in the office and is connected to the control center.

[0015] The environmental data acquisition module includes a window switch sensor installed on the office window frame. The window switch sensor is used to detect the window opening and closing status and is connected to the control center. The environmental data acquisition module also includes temperature sensors installed inside the office and outside (on the outside of the exterior wall on the side where the window is installed). The temperature sensors are connected to the control center.

[0016] The air conditioning smart gateway module is connected to the office air conditioner and used to monitor and statistically analyze the air conditioner's operation. The air conditioning smart gateway module is also connected to the control center.

[0017] The control center includes a data receiving module, a data processing module, a data storage module, and an output display module connected in sequence. The data receiving module is connected to and receives data from a personnel behavior sensing module, an environmental data acquisition module, and an air conditioning intelligent gateway module. The data processing module includes a thermal sensing behavior extraction module and a personnel energy consumption rating module. The thermal sensing behavior extraction module is used to determine and extract the thermal sensing actions of personnel in the office, including putting on and taking off clothes and fanning themselves. The personnel energy consumption rating module is used to identify the energy consumption behavior of office personnel, increasing the energy-saving index when energy-saving behavior is determined and decreasing the energy-saving index when energy-consuming behavior is determined. The data storage module is used to store the data and the determination results. The output display module is used to display the energy-saving index results.

[0018] In this system, the personnel behavior sensing module first detects people entering and leaving the office using a human presence sensor, which is linked to a wide-angle camera. When a person enters the office, the control center activates the wide-angle camera to collect the actions and behaviors of the people in the room. Once all people have left the office, the camera stops working. The human presence sensor itself is an existing device, typically using infrared sensing or frequency-modulated continuous wave millimeter-wave radar monitoring to detect and collect signals; its structure is existing technology and will not be detailed here. The wide-angle camera is used to capture images of the office interior, obtaining images of employee behavior within that area. Following the network protocol used by the camera (such as RTSP / HTTP), a communication connection is established with the control center via a communication device to collect real-time image stream data. This data is then temporarily stored in a data storage module in a suitable format for further processing, used to determine energy-saving and energy-consuming behaviors of office personnel.

[0019] In the environmental data acquisition module, the window switch sensor is a mature existing technology or device. Installed on the window frame, it detects changes in pressure or the rotation angle of the window hinge to determine the window's open / closed status, thus assisting in the identification of energy-saving and energy-consuming behaviors of office personnel. Temperature sensors are installed both inside and outside the office to detect indoor and outdoor temperatures, also assisting in the identification of energy-saving and energy-consuming behaviors of office personnel.

[0020] The intelligent air conditioning gateway module is used to monitor and statistically analyze the valve status, operating mode, room set temperature, and energy consumption of the air conditioner in real time. It is used to assist in the judgment of energy-saving and energy-consuming behaviors of office personnel, as well as to assist in the judgment of the increase or decrease of the office energy-saving index. It is a mature existing technology, and its specific structure will not be described in detail here.

[0021] In the control center, the data receiving module receives various types of collected data, which is then stored in the data storage module for further processing. The data processing module processes these data types, including a thermal sensing behavior extraction module that handles data captured by the wide-angle camera. This module first extracts images showing the behavior of people in the office, then converts the images to grayscale, followed by noise reduction (using Gaussian filtering, median filtering, etc., to improve image clarity and quality). Finally, the images are resized to complete the preprocessing. The preprocessed image is then input into a loaded deep learning object detection algorithm (YOLO) model. (For subsequent energy-saving and energy-consuming event judgments, including thermal sensing behaviors such as putting on and taking off clothes and fanning oneself, extensive training based on the YOLO algorithm is required in the data processing module beforehand to learn the characteristics of these thermal sensing behaviors and establish a thermal sensing behavior recognition knowledge base.) The model performs multiple convolution, pooling, and activation operations on the image to extract feature information. By comparing this information with various behavioral features in the established thermal sensing behavior recognition knowledge base, the model detects the probability of the behavior category exhibited by the person in the image. These probabilities are then compared with corresponding set thresholds. If the probability is greater than or equal to the threshold, it is determined that the person is performing the thermal sensing behavior (putting on or taking off clothes, or fanning oneself). Finally, the results are associated with time and stored in the database for subsequent use by the personnel energy consumption rating module to rate the energy consumption behavior of office personnel. When the personnel energy consumption rating module is used, it combines all the information collected by the personnel behavior perception module, environmental data acquisition module, and air conditioning smart gateway module, and then uniformly identifies and judges the energy consumption behavior of office personnel based on the same time association. Specifically, a trigger action is extracted for each type of energy-saving event and energy-consuming event. (Specifically, the trigger action for energy-saving events 1 and 2 is the air conditioner turning on; the trigger action for energy-saving event 3 is the air conditioner switching to cooling mode; the trigger action for energy-saving event 4 is the air conditioner switching to heating mode; the trigger action for energy-consuming event 1 is the air conditioner turning on; the trigger action for energy-consuming event 2 is the first temperature adjustment during air conditioner operation; the trigger action for energy-consuming event 3 is everyone leaving the office; the trigger action for energy-consuming event 4 is the external temperature sensor temperature being lower than the internal temperature sensor temperature; the trigger action for energy-consuming event 5 is the external temperature sensor temperature being higher than the internal temperature sensor temperature; the trigger action for energy-consuming event 6 is the detection of someone putting on clothes; and the trigger action for energy-consuming event 7 is the detection of someone taking off clothes or using a fan). Once a trigger action signal is detected, the system checks whether other behaviors related to the event have occurred in the corresponding information data according to the event behavior definition, thereby determining whether the energy-saving or energy-consuming behavior has occurred. In implementation, the output display module typically uses a display screen.

[0022] Furthermore, the personnel energy consumption rating module establishes a behavioral event database, which includes an energy-saving event database and an energy-consuming event database. The energy-saving event database includes one or more of the following energy-saving events: 1. Detecting whether the window remains or changes to a closed state within a certain period of time (usually 1-3 minutes) before and after the air conditioner is turned on; 2. The temperature adjustment does not exceed a fixed number of times (usually 2 times) from the time the air conditioner is turned on to the time it is turned off; 3. When the air conditioner is in cooling mode, controlling the cooling temperature not to be lower than a specific cooling temperature (usually 26℃); 4. When the air conditioner is in heating mode, controlling the heating temperature not to be higher than a specific heating temperature (usually 28℃).

[0023] The energy consumption event database includes one or more of the following energy consumption events: 1. After the air conditioner is turned on and running for a certain period of time (usually 1-3 minutes), the window switch sensor detects that the window remains open; 2. The air conditioner temperature is changed more than a fixed number of times (usually 3 times) within a continuous unit time (usually 5 minutes) while the air conditioner is running; 3. The personnel behavior sensing module detects that the air conditioner remains open for more than a fixed time (usually 5 minutes) after all personnel have left the office; 4. The external temperature sensor detects that the air conditioner is running in cooling mode when the external temperature of the office room is lower than the internal temperature; 5. The external temperature sensor detects that the air conditioner is running in heating mode when the external temperature of the office room is higher than the internal temperature; 6. The personnel behavior sensing module detects that personnel are putting on clothes while the air conditioner is in cooling mode; 7. The personnel behavior sensing module detects that personnel are taking off clothes or fanning themselves while the air conditioner is in heating mode.

[0024] When the personnel energy consumption rating module determines that any energy-saving event occurs in the office, it controls the energy-saving index to increase by a specific value (add one) accordingly. When it determines that any energy-consuming event occurs in the office, it controls the energy-saving index to decrease by a specific value (subtract one). The corresponding personnel energy-saving index value is calculated within a unit of time (one week or one month).

[0025] In this way, the energy-saving index is increased when office staff are engaging in energy-saving behaviors, and decreased when energy-consuming events occur. By detecting and judging various energy-saving behaviors from both positive and negative perspectives, the resulting energy-saving index value can better reflect the true energy-saving situation.

[0026] Furthermore, the data processing module also includes an office energy consumption rating module. This module collects and calculates the total energy consumption of air conditioning in each office within a unit of time (one week or one month), calculates the per capita energy consumption based on the actual number of people in the office, and compares it with the per capita energy consumption in the same period of previous years. When the per capita energy consumption increases, the previously calculated energy-saving index for personnel is adjusted downwards by the corresponding value according to the increase ratio. When the per capita energy consumption decreases, the previously calculated energy-saving index for personnel is adjusted upwards by the corresponding value according to the decrease ratio (for example, if the per capita energy consumption increases by one kilowatt-hour within a unit of time, the energy-saving index is decreased by one; if it decreases by one kilowatt-hour, the energy-saving index is increased by one). Then, the per capita energy consumption of this office (calculated based on the actual number of personnel) is compared with the per capita energy consumption of all offices in the company (calculated based on the actual number of personnel). If the energy consumption is higher, the energy-saving index of personnel already calculated is adjusted down by the corresponding value according to the excess. If the energy consumption is lower, the energy-saving index of personnel already calculated is adjusted up by the corresponding value according to the difference (for example, if the per capita energy consumption exceeds one kilowatt-hour per unit of time and day, the energy-saving index is reduced by one; if it is one kilowatt-hour less, the energy-saving index is increased by one). The office energy-saving index is then obtained. Based on the final office energy-saving index, the energy-saving index of each office is rated from high to low.

[0027] This approach, combining the energy-saving behaviors of office staff with energy consumption data from both longitudinal and horizontal comparisons, allows for a more comprehensive assessment of an office's energy efficiency index, providing a more complete picture of each office's energy consumption. In practice, if an office has been established for less than a year, longitudinal comparisons are unnecessary; only horizontal comparisons between offices are required.

[0028] Furthermore, the energy efficiency index levels include excellent energy-efficient office, energy-efficient office, energy-consuming office, and wasteful office.

[0029] Furthermore, the actual number of people in the office is obtained by dividing the sum of all times when all people were detected entering the office within the statistical period by the prescribed working hours of each individual.

[0030] In this way, calculating the number of people by averaging the total time all people spend in the office is more fair and just, making the results more reliable and accurate.

[0031] Furthermore, it also includes a public display module connected to the data storage module. The public display module includes a display screen located on the wall of the lobby or cafeteria, which is used to display the energy efficiency index level of each office.

[0032] In this way, publicly displaying rewards and punishments can better motivate office staff to take pride in energy conservation and reduce consumption, and better generate the effect of office staff taking the initiative to conserve energy.

[0033] Compared with existing technologies, this invention has the following advantages and effects: 1. It can realize end-employee behavior perception. By introducing behavior perception technology and installing various sensors, it can judge employee behavior patterns by sensing employees' operation of indoor equipment, and guide enterprises to focus on high-energy-consuming office areas. 2. It can objectively rate the energy-saving performance of each office. By introducing employee behavior collection technology and intelligent control modules, it provides user enterprises with a simple and efficient rating module. It separates employees' energy-consuming habits and office area power consumption for energy-saving level evaluation and display, avoiding the subjective setting of "benchmark behavior" due to factors such as the judges' lack of understanding, observation angle, and the complexity of specific situations in different office scenarios, which affects the objectivity of the rating results. It gives enterprises space and reference to consider from multiple perspectives when formulating reward and punishment systems.

[0034] Therefore, this method can effectively solve the problem of difficult monitoring of air conditioning equipment in corporate office buildings, leading to increased energy costs for enterprises. It can better enhance office staff's awareness of energy conservation, promote the construction of green office environments, drive the development of intelligent building technologies, and better create economic benefits through energy conservation and emission reduction. Attached Figure Description

[0035] Figure 1 This is a structural block diagram of the enterprise office air conditioning operation and management system used in this invention.

[0036] Figure 2 This is a structural block diagram of the data processing module in the enterprise office air conditioning operation management system used in this invention. Detailed Implementation

[0037] The present invention will now be described in further detail with reference to specific embodiments.

[0038] In specific implementation: A method for energy-saving control of air conditioning operation in enterprise offices is characterized by monitoring the operation of air conditioning in each office and collecting information on the behavior of personnel in each office, judging whether there are energy-saving and energy-consuming behaviors and increasing or decreasing the energy-saving index, and rewarding offices with high energy-saving index values ​​and penalizing offices with low values ​​based on the final obtained energy-saving index values ​​of each office.

[0039] This method, by objectively collecting data on the energy-saving and energy-consuming behaviors of office staff, determines their energy-saving index and rewards or penalizes them based on the index value, providing feedback to each staff member to help them adjust their behavior. This effectively encourages office users to proactively save energy. Therefore, this method improves human-machine interaction, enhances the humanization of energy-saving management, and raises users' proactive energy-saving awareness, thus better helping enterprises achieve energy conservation and consumption reduction. The rewards and penalties can be either moral (e.g., praise and criticism) or material (e.g., increases or decreases in bonuses).

[0040] This involves collecting average energy consumption data for each office unit based on the number of users within a given time period, determining the trend of energy consumption increases or decreases, and adjusting the energy-saving index accordingly.

[0041] By combining the user situation with the overall office situation for a comprehensive assessment, we can make a more scientific and accurate judgment on the office's energy conservation status and better improve energy-saving results.

[0042] The system involves rating each office according to its energy efficiency index and displaying the rating results in the company's public areas.

[0043] This can better motivate office staff to engage in energy-saving behaviors.

[0044] In this embodiment, the method relies on an enterprise office air conditioning operation management system, which can be found in [reference needed]. Figures 1-2 ,include:

[0045] The personnel behavior perception module 1 includes a wide-angle camera 2 installed at the top corner of the office room. The wide-angle camera 2 is used to capture the behavior of people in the office and is connected to the control center through a communication device. The personnel behavior perception module also includes a human presence sensor 3 installed at the top of the office room door frame. The human presence sensor 3 is used to sense the entry and exit of office personnel and is connected to the control center.

[0046] The environmental data acquisition module 4 includes a window switch sensor 5 installed on the office window frame. The window switch sensor 5 is used to detect the window opening and closing status and is connected to the control center. The environmental data acquisition module also includes an indoor temperature sensor 6 installed inside the office and an outdoor temperature sensor 7 installed on the outside (outside the exterior wall on the side where the window is installed). Both the indoor temperature sensor and the outdoor temperature sensor are connected to the control center.

[0047] The air conditioning smart gateway module 8 is connected to the office air conditioner 9 and is used to monitor and statistically analyze the air conditioner's operation. The air conditioning smart gateway module 8 is also connected to the control center.

[0048] The control center 10 includes a data receiving module 11, a data processing module 12, a data storage module 13, and an output display module 14 connected in sequence. The data receiving module 11 is connected to and receives data from the personnel behavior perception module 1, the environmental data acquisition module 4, and the air conditioning intelligent gateway module 8, respectively. The data processing module 12 includes a thermal perception behavior extraction module 15 and a personnel energy consumption rating module 16. The thermal perception behavior extraction module 15 is used to judge and extract the thermal perception actions of personnel in the office, including putting on clothes, taking off clothes, and fanning themselves. The personnel energy consumption rating module 16 is used to identify the energy consumption behavior of office personnel, increasing the energy-saving index when energy-saving behavior is determined and decreasing the energy-saving index when energy-consuming behavior is determined. The data storage module is used to store the data and judgment results. The output display module is used to display the energy-saving index results.

[0049] In this system, the personnel behavior sensing module first detects people entering and leaving the office using a human presence sensor, which is linked to a wide-angle camera. When a person enters the office, the control center activates the wide-angle camera to collect the actions and behaviors of the people in the room. Once all people have left the office, the camera stops working. The human presence sensor itself is an existing device, typically using infrared sensing or frequency-modulated continuous wave millimeter-wave radar monitoring to detect and collect signals; its structure is existing technology and will not be detailed here. The wide-angle camera is used to capture images of the office interior, obtaining images of employee behavior within that area. Following the network protocol used by the camera (such as RTSP / HTTP), a communication connection is established with the control center via a communication device to collect real-time image stream data. This data is then temporarily stored in a data storage module in a suitable format for further processing, used to determine energy-saving and energy-consuming behaviors of office personnel.

[0050] In the environmental data acquisition module, the window switch sensor is a mature existing technology or device. Installed on the window frame, it detects changes in pressure or the rotation angle of the window hinge to determine the window's open / closed status, thus assisting in the identification of energy-saving and energy-consuming behaviors of office personnel. Temperature sensors are installed both inside and outside the office to detect indoor and outdoor temperatures, also assisting in the identification of energy-saving and energy-consuming behaviors of office personnel.

[0051] The intelligent air conditioning gateway module is used to monitor and statistically analyze the valve status, operating mode, room set temperature, and energy consumption of the air conditioner in real time. It is used to assist in the judgment of energy-saving and energy-consuming behaviors of office personnel, as well as to assist in the judgment of the increase or decrease of the office energy-saving index. It is a mature existing technology, and its specific structure will not be described in detail here.

[0052] In the control center, the data receiving module receives various types of collected data, which is then stored in the data storage module for further processing. The data processing module processes these data types, including a thermal sensing behavior extraction module that handles data captured by the wide-angle camera. This module first extracts images showing the behavior of people in the office, then converts the images to grayscale, followed by noise reduction (using Gaussian filtering, median filtering, etc., to improve image clarity and quality). Finally, the images are resized to complete the preprocessing. The preprocessed image is then input into a loaded deep learning object detection algorithm (YOLO) model. (For subsequent energy-saving and energy-consuming event judgments, including thermal sensing behaviors such as putting on and taking off clothes and fanning oneself, extensive training based on the YOLO algorithm is required in the data processing module beforehand to learn the characteristics of these thermal sensing behaviors and establish a thermal sensing behavior recognition knowledge base.) The model performs multiple convolution, pooling, and activation operations on the image to extract feature information. By comparing this information with various behavioral features in the established thermal sensing behavior recognition knowledge base, the model detects the probability of the behavior category exhibited by the person in the image. These probabilities are then compared with corresponding set thresholds. If the probability is greater than or equal to the threshold, it is determined that the person is performing the thermal sensing behavior (putting on or taking off clothes, or fanning oneself). Finally, the results are associated with time and stored in the database for subsequent use by the personnel energy consumption rating module to rate the energy consumption behavior of office personnel. When the personnel energy consumption rating module is used, it combines all the information collected by the personnel behavior perception module, environmental data acquisition module, and air conditioning smart gateway module, and then uniformly identifies and judges the energy consumption behavior of office personnel based on the same time association. Specifically, a trigger action is extracted for each type of energy-saving event and energy-consuming event. (Specifically, the trigger action for energy-saving events 1 and 2 is the air conditioner turning on; the trigger action for energy-saving event 3 is the air conditioner switching to cooling mode; the trigger action for energy-saving event 4 is the air conditioner switching to heating mode; the trigger action for energy-consuming event 1 is the air conditioner turning on; the trigger action for energy-consuming event 2 is the first temperature adjustment during air conditioner operation; the trigger action for energy-consuming event 3 is everyone leaving the office; the trigger action for energy-consuming event 4 is the external temperature sensor temperature being lower than the internal temperature sensor temperature; the trigger action for energy-consuming event 5 is the external temperature sensor temperature being higher than the internal temperature sensor temperature; the trigger action for energy-consuming event 6 is the detection of someone putting on clothes; and the trigger action for energy-consuming event 7 is the detection of someone taking off clothes or using a fan). Once a trigger action signal is detected, the system checks whether other behaviors related to the event have occurred in the corresponding information data according to the event behavior definition, thereby determining whether the energy-saving or energy-consuming behavior has occurred. In implementation, the output display module typically uses a display screen.

[0053] During implementation, the personnel energy consumption rating module 16 establishes a behavioral event database, which includes an energy-saving event database and an energy-consuming event database. The energy-saving event database includes one or more of the following energy-saving events: 1. Detecting whether the window remains or changes to a closed state within a certain time (usually 1-3 minutes) before and after the air conditioner is turned on; 2. The temperature adjustment does not exceed a fixed number of times (usually 2 times) from the time the air conditioner is turned on to the time it is turned off; 3. When the air conditioner is in cooling mode, controlling the cooling temperature not to be lower than a specific cooling temperature (usually 26℃); 4. When the air conditioner is in heating mode, controlling the heating temperature not to be higher than a specific heating temperature (usually 28℃).

[0054] The energy consumption event database includes one or more of the following energy consumption events: 1. After the air conditioner is turned on and running for a certain period of time (usually 1-3 minutes), the window switch sensor detects that the window remains open; 2. The air conditioner temperature is changed more than a fixed number of times (usually 3 times) within a continuous unit time (usually 5 minutes) while the air conditioner is running; 3. The personnel behavior sensing module detects that the air conditioner remains open for more than a fixed time (usually 5 minutes) after all personnel have left the office; 4. The external temperature sensor detects that the air conditioner is running in cooling mode when the external temperature of the office room is lower than the internal temperature; 5. The external temperature sensor detects that the air conditioner is running in heating mode when the external temperature of the office room is higher than the internal temperature; 6. The personnel behavior sensing module detects that personnel are putting on clothes while the air conditioner is in cooling mode; 7. The personnel behavior sensing module detects that personnel are taking off clothes or fanning themselves while the air conditioner is in heating mode.

[0055] When the personnel energy consumption rating module 16 determines that any energy-saving event occurs in the office, it controls the energy-saving index to increase by a specific value (add one) accordingly. When it determines that any energy-consuming event occurs in the office, it controls the energy-saving index to decrease by a specific value (subtract one). The corresponding personnel energy-saving index value is calculated within a unit of time (one week or one month).

[0056] In this way, the energy-saving index is increased when office staff are engaging in energy-saving behaviors, and decreased when energy-consuming events occur. By detecting and judging various energy-saving behaviors from both positive and negative perspectives, the resulting energy-saving index value can better reflect the true energy-saving situation.

[0057] During implementation, the data processing module 12 also includes an office energy consumption rating module 17. This module collects and calculates the total energy consumption of air conditioning in each office within a unit of time (one week or one month), calculates the per capita energy consumption based on the actual number of people in the office, and compares it with the per capita energy consumption in the same period of previous years. When per capita energy consumption increases, the calculated energy-saving index is adjusted downwards by the corresponding percentage; conversely, when per capita energy consumption decreases, the calculated energy-saving index is adjusted upwards by the corresponding percentage (e.g., if per capita energy consumption increases by one kilowatt-hour within a unit of time, the energy-saving index is decreased by one; if it decreases by one kilowatt-hour, the energy-saving index is increased). 1) Then, compare the per capita energy consumption of this office (calculated based on the actual number of personnel) with the per capita energy consumption of all offices in the company (calculated based on the actual number of personnel). If the energy consumption is higher, adjust the already calculated personnel energy-saving index by the proportion of the excess, and decrease the corresponding value. If the energy consumption is lower, adjust the already calculated personnel energy-saving index by the proportion of the difference, and increase the corresponding value (for example, if the per capita energy consumption exceeds one kilowatt-hour per unit of time and day, the control energy-saving index is reduced by one; if it is one kilowatt-hour less, the control energy-saving index is increased by one). The office energy-saving index is obtained. Based on the final office energy-saving index, the energy-saving index rating of each office is implemented from high to low.

[0058] This approach, combining the energy-saving behaviors of office staff with energy consumption data from both longitudinal and horizontal comparisons, allows for a more comprehensive assessment of an office's energy efficiency index, providing a more complete picture of each office's energy consumption. In practice, if an office has been established for less than a year, longitudinal comparisons are unnecessary; only horizontal comparisons between offices are required.

[0059] When implemented, the energy efficiency index levels include excellent energy-saving office, energy-saving office, energy-consuming office, and wasteful office.

[0060] In practice, the actual number of people in the office is obtained by dividing the sum of all times during which all people were detected entering the office within the statistical period by the prescribed working hours of each individual.

[0061] In this way, calculating the number of people by averaging the total time all people spend in the office is more fair and just, making the results more reliable and accurate.

[0062] In practice, it also includes a public display module 18 connected to the data storage module 13. The public display module 18 includes a display screen located on the wall of the lobby or cafeteria, which is used to display the energy efficiency index level of each office.

[0063] In this way, publicly displaying rewards and penalties can better motivate office staff to prioritize energy conservation and reduce consumption, thus leading to more proactive energy-saving efforts. When displaying the rewards and penalties, the office name, staff names, and photos can be shown for each level of energy efficiency index. Furthermore, the names of offices at different energy efficiency levels can be highlighted using a color gradient from dark green to light green to light red to dark red to make them more eye-catching.

Claims

1. A method for energy-saving control of air conditioning operation in an enterprise office, characterized in that, Monitor the operation of air conditioning in each office and collect information on the behavior of people in each office to determine whether there are energy-saving and energy-consuming behaviors and adjust the energy-saving index accordingly. Based on the final energy-saving index value of each office, reward offices with high values ​​and punish offices with low values. The method is implemented using an enterprise office air conditioning operation management system, which includes: The personnel behavior perception module includes a wide-angle camera installed in the corner of the top of the office room. The wide-angle camera is used to capture the behavior of people in the office and is connected to the control center through a communication device. The personnel behavior perception module also includes a human presence sensor installed at the top of the door frame of the office room. The human presence sensor is used to sense the entry and exit of people in the office and is connected to the control center. The environmental data acquisition module includes a window switch sensor installed on the office window frame. The window switch sensor is used to detect the window opening and closing status and is connected to the control center. The environmental data acquisition module also includes temperature sensors installed inside and outside the office. The temperature sensors are connected to the control center. The air conditioning smart gateway module is connected to the office air conditioner and used to monitor and statistically analyze the air conditioner's operation. The air conditioning smart gateway module is also connected to the control center. The control center comprises a data receiving module, a data processing module, a data storage module, and an output display module connected in sequence. The data receiving module is connected to and receives data from a personnel behavior sensing module, an environmental data acquisition module, and an air conditioning intelligent gateway module. The data processing module includes a thermal sensing behavior extraction module and a personnel energy consumption rating module. The thermal sensing behavior extraction module is used to determine and extract the thermal sensing actions of personnel in the office, including putting on and taking off clothes and fanning themselves. The personnel energy consumption rating module is used to identify the energy consumption behavior of office personnel, increasing the energy-saving index when energy-saving behavior is detected and decreasing the energy-saving index when energy-consuming behavior is detected. The data storage module stores the data and the determination results. The output display module displays the energy-saving index results. The data processing module also includes an office energy consumption rating module. This module collects and calculates the total energy consumption of air conditioning in each office within a given number of days. It calculates the per capita energy consumption based on the actual number of people in the office and compares it with the per capita energy consumption in the same period of previous years. When the per capita energy consumption increases, the calculated energy-saving index for personnel is adjusted downwards by the corresponding percentage. When the per capita energy consumption decreases, the calculated energy-saving index for personnel is adjusted upwards by the corresponding percentage. Then, the per capita energy consumption of this office is compared with the per capita energy consumption of all offices in the company. If the energy consumption is higher, the calculated energy-saving index for personnel is adjusted downwards by the corresponding percentage. If the energy consumption is lower, the calculated energy-saving index for personnel is adjusted upwards by the corresponding percentage of the difference, thus obtaining the office energy-saving index. Based on the final office energy-saving index, each office is rated from highest to lowest.

2. The energy-saving control method for enterprise office air conditioning operation as described in claim 1, characterized in that, Collect average energy consumption data for each office unit based on the number of users within a given time period, determine the trend of energy consumption increase or decrease, and adjust the energy-saving index accordingly.

3. The energy-saving control method for enterprise office air conditioning operation as described in claim 2, characterized in that, Each office is rated according to its energy efficiency index, and the rating results are displayed in the company's public areas.

4. The energy-saving control method for enterprise office air conditioning operation as described in claim 1, characterized in that, The personnel energy consumption rating module has a behavioral event database, which includes an energy-saving event database and an energy-consuming event database. The energy-saving event database includes one or more of the following energy-saving events: detecting whether a window remains or changes to a closed state within a certain period of time before or after the air conditioner is turned on; the temperature adjustment does not exceed a fixed number of times from the time the air conditioner is turned on to the time it is turned off; controlling the cooling temperature not to be lower than a specific cooling temperature when the air conditioner is in cooling mode; controlling the heating temperature not to be higher than a specific heating temperature when the air conditioner is in heating mode. The energy consumption event database includes one or more of the following energy consumption events: after the air conditioner is turned on and running for a certain period of time, the window switch sensor detects that the window is still open; the air conditioner temperature is changed more than a fixed number of times within a unit of time while the air conditioner is running. The personnel behavior sensing module detects that the air conditioner remains on after a fixed period of time has elapsed since all personnel left the office; the external temperature sensor detects that the air conditioner operates in cooling mode when the outside temperature of the office is lower than the inside temperature; the external temperature sensor detects that the air conditioner operates in heating mode when the outside temperature of the office is higher than the inside temperature; the personnel behavior sensing module detects that personnel are putting on clothes when the air conditioner is in cooling mode; and the personnel behavior sensing module detects that personnel are taking off clothes or fanning themselves when the air conditioner is in heating mode. When the personnel energy consumption rating module determines that any energy-saving event occurs in the office, it controls the energy-saving index to increase by a specific value accordingly. When it determines that any energy-consuming event occurs in the office, it controls the energy-saving index to decrease by a specific value. The corresponding personnel energy-saving index value is calculated within a unit of days.

5. The energy-saving control method for enterprise office air conditioning operation as described in claim 1, characterized in that, The energy efficiency index levels include excellent energy-saving office, energy-efficient office, energy-consuming office, and wasteful office.

6. The energy-saving control method for enterprise office air conditioning operation as described in claim 1, characterized in that, The actual number of people in the office is obtained by dividing the sum of all times when all people were detected entering the office within the statistical period by the individual's designated working hours.

7. The energy-saving control method for enterprise office air conditioning operation as described in claim 1, characterized in that, It also includes a public display module connected to the data storage module. The public display module includes a display screen located on the wall of the lobby or cafeteria, which is used to display the energy efficiency index level of each office.

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