Enterprise office air conditioner operation energy-saving control method

Abstract

The invention discloses an enterprise office air conditioner operation energy-saving control method, which is characterized by comprising the following steps: monitoring the operation condition of an air conditioner in each office, collecting the behavior information of personnel in each office, judging whether energy-saving and energy-consuming behaviors exist or not, increasing or decreasing an energy-saving index, and according to the finally obtained energy-saving index value of each office, determining whether the energy-saving and energy-consuming behaviors exist or not. And rewarding offices with high numerical values, and punishing offices with low numerical values. The method can effectively solve the problem that the energy consumption cost of an enterprise is increased due to the fact that air conditioning equipment of an enterprise office building is difficult to supervise. The system can better improve the autonomous energy-saving awareness of office personnel, promote the construction of a green office environment, promote the development of an intelligent building technology, and better save energy and alleviate the creation of economic benefits.

Description

Technical Field

[0001] The present invention relates to the technical field of energy-saving control of air-conditioning systems, and in particular to an energy-saving control method for air-conditioning operation in an enterprise office. Background Art

[0002] In the current context of increasingly tight global energy resources and increasingly important environmental protection, the energy consumption of corporate offices has attracted much attention. With the rapid development of central air-conditioning systems in large domestic public buildings, more and more corporate office buildings are beginning to install central air-conditioning systems. When central air-conditioning is deployed in a building, as the number of floors and volume of the building increases, the internal operating functions of the building become intricate, and the central air-conditioning system becomes larger and more complex. This makes it increasingly difficult for people to manage and control central air-conditioning.

[0003] Under 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 conditioners has become a problem that enterprises need to consider and solve. The existing conventional energy-saving methods for office air conditioners are all based on improving the air conditioner's own operation strategy to produce energy-saving effects. However, in fact, different individuals have different air conditioner usage habits, and their perception and tolerance of cold and heat are also different. Therefore, the air conditioner control method of fixed operation strategy is difficult to adapt to the individual differences of different users, and the degree of humanization is poor, which is not conducive to improving overall office efficiency.

[0004] Therefore, how to design an air conditioning energy-saving solution that can detect the air conditioning usage habits and cold and heat tolerance of specific individuals in the office, judge their energy-saving level and provide feedback, realize autonomous adjustment and control of air conditioning operation, and better improve the humanization level has become a problem that technical personnel in this field need to consider and solve. Summary of the invention

[0005] In view of the above-mentioned deficiencies of the prior art, the technical problem to be solved by the present invention is: how to provide a method for controlling the operation of air conditioners in corporate offices that can detect the air conditioner usage habits and the degree of cold and heat perception tolerance of specific individuals in the office, judge their energy-saving degree and provide feedback, realize the autonomous adjustment and control of the air conditioner operation, and better improve the degree of humanization. This method can better enhance the user's active energy-saving awareness, promote the construction of a green office environment, and promote the development of the humanized direction of the human-machine combination of intelligent building technology.

[0006] In order to solve the above technical problems, the present invention adopts the following technical solutions: A method for energy-saving control of air conditioning operation in corporate offices is characterized by monitoring the operation of air conditioners 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 according to the energy-saving index values ​​of each office finally obtained, rewarding offices with high values ​​and punishing offices with low values.

[0007] In this way, this method obtains the energy-saving index based on the objectively collected energy-saving and energy-consuming behaviors of office personnel, and rewards and punishes office personnel according to the value, and feeds back to each office personnel to help achieve subjective behavior adjustment; it can effectively make office users actively save energy. Therefore, this method improves the human-computer correlation, improves the humanization of energy-saving management, and improves the user's active energy-saving awareness, which can better help enterprises achieve the effect of energy saving and consumption reduction. Among them, the rewards and punishments can be spiritual rewards and punishments such as praise and criticism, or material rewards and punishments such as bonus increases and decreases.

[0008] Furthermore, the average energy consumption of each office per person per unit time is collected to determine the trend of energy consumption reduction and increase and to increase or decrease the energy saving index.

[0009] In this way, by combining the user situation and the overall office situation, the office energy-saving situation can be judged more scientifically and accurately, and the energy-saving effect can be better improved.

[0010] Furthermore, each office is rated according to its energy-saving index, and the rating results are displayed in the company's public areas.

[0011] In this way, it can better inspire office staff to save energy on their own.

[0012] Furthermore, the method is implemented by an enterprise office air conditioning operation management system, the enterprise office air conditioning operation management system comprising: The personnel behavior sensing module includes a wide-angle camera installed at the top corner 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 sensing module also includes a human presence sensor installed at the upper end of the door frame of the office room. The human presence sensor is used to sense the entry and exit of office personnel and is connected to the control center. An 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 switch status and is connected to the control center. The environmental data acquisition module also includes a temperature sensor installed inside and outside the office (on the outside of the exterior wall on the side where the window is installed). The temperature sensor is connected to the control center; Air conditioning intelligent gateway module, the air conditioning intelligent gateway module is connected to the office air conditioning and is used to monitor and count the air conditioning operation status, and the air conditioning intelligent gateway module is connected to the control center; Control center, the control center includes a data receiving module, a data processing module, a data storage module and an output display module which are connected in sequence; the data receiving module is respectively connected to the personnel behavior perception module, the environmental data acquisition module and the air conditioning intelligent gateway module and receives data; the data processing module includes a thermal perception behavior extraction module and a personnel energy rating module, the thermal perception behavior extraction module is used to judge and extract the thermal perception action behaviors of the personnel in the office, the thermal perception action behaviors include dressing, undressing and fanning, the personnel energy rating module is used to identify the energy usage behaviors of the office personnel, increase the energy saving index when it is determined that there is energy saving behavior, and reduce the energy saving index when it is determined that there is energy consumption behavior; the data storage module is used to store data and judgment results; the output display module is used to display the energy saving index results.

[0013] In this way, the personnel behavior perception module used first senses the personnel entering and leaving the office through the human presence sensor, and links with the wide-angle camera. When it is detected that someone has entered the office, the control center starts the wide-angle camera to start working, and collects the actions and behaviors of the people in the room. When it is detected that all people have left the office, the camera is controlled to stop working. The human presence sensor itself is an existing device, and generally can use infrared sensing or frequency-modulated continuous wave millimeter wave radar monitoring to achieve signal sensing and collection. Its own structure is an existing technology and is not described in detail here. The wide-angle camera is used to shoot and monitor the internal area of ​​the office, obtain the personnel behavior image of the employees in the area, and establish a communication connection with the control center through the communication device according to the network protocol (such as RTSP / HTTP) adopted by the camera, collect real-time image stream data, and then temporarily store it in the data storage module in a suitable format, waiting for further processing, to realize the energy-saving and energy-consuming behavior event judgment of office personnel.

[0014] In the environmental data acquisition module, the window switch sensor itself is a mature existing technology or existing device. It is installed on the window frame and can determine the opening and closing status of the window by detecting pressure changes or the rotation angle of the window shaft, which is used to assist in the energy-saving and energy-consuming behavior event judgment of office personnel. The temperature sensors are installed inside and outside the office respectively to detect the temperature inside and outside the room, which is used to assist in the energy-saving and energy-consuming behavior event judgment of office personnel.

[0015] The air-conditioning intelligent gateway module adopted is used for real-time monitoring and information statistics of the air-conditioning valve status / air-conditioning system operation mode / room set temperature and air-conditioning energy consumption, etc., to assist in realizing the energy-saving and energy-consuming behavior event judgment of office personnel, and to assist in realizing the increase and decrease judgment of the office energy-saving index; it is itself a mature existing technology, and the specific structure is not described in detail here.

[0016] In the control center, the data receiving module is used to receive various types of collected data. After the data is received, it is stored in the data storage module and waits for processing. The data processing module is used to process various types of data. The thermal perception behavior extraction module is used to process the data captured by the wide-angle camera. During the processing, the captured image of the behavior information of the people in the office is first extracted, the collected image is grayed and then denoised (Gaussian filtering, median filtering and other filtering methods can be used to improve the clarity and quality of the image), and then the image is resized to complete the preprocessing. Then the preprocessed image is input into the loaded deep learning target detection algorithm (YOLO) model (for the subsequent energy-saving and energy-consuming event judgment, including the judgment of thermal perception behaviors such as dressing, undressing and fanning, it is necessary to conduct a lot of training in the data processing module based on the YOLO algorithm in advance, learn the characteristics of these thermal perception behaviors, and establish a thermal perception behavior recognition knowledge base). The model performs multiple convolution, pooling, activation and other operations on the image to extract the feature information in the image, and detects the probability of the behavior category shown by the person in the image by comparing it with the various behavior characteristics of the thermal perception behavior recognition knowledge base that has been learned and established. Then these probabilities are compared with the corresponding set thresholds. If it is greater than or equal to the corresponding threshold, it is judged that the person is performing the thermal perception behavior (dressing, undressing and fanning), and finally the results are associated with time and stored in the database, so that the subsequent personnel energy rating module can be used to rate the energy behavior of office personnel. When the personnel energy rating module is used, it collects all the information collected by the personnel behavior perception module, the environmental data acquisition module and the air conditioning intelligent gateway module, and uniformly identifies and judges the energy behavior of office personnel according to 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 of energy-saving events 1 and 2 is the air-conditioner on, the trigger action of energy-saving event 3 is the air-conditioner on in cooling mode, the trigger action of energy-saving event 4 is the air-conditioner on in heating mode, the trigger action of energy-consuming event 1 is the air-conditioner on, the trigger action of energy-consuming event 2 is the first temperature adjustment when the air-conditioner is running, the trigger action of energy-consuming event 3 is everyone leaving the office, the trigger action of energy-consuming event 4 is the temperature of the external temperature sensor is lower than the temperature of the internal temperature sensor, the trigger action of energy-consuming event 5 is the temperature of the external temperature sensor is higher than the temperature of the internal temperature sensor, the trigger action of energy-consuming event 6 is the detection of a person wearing clothes, and the trigger action of energy-consuming event 7 is the detection of a person taking off clothes or fanning). When the trigger action signal is detected, the corresponding information data is detected to determine whether the other behaviors of the event are generated according to the event behavior definition, and then the energy-saving or energy-consuming behavior is determined. During implementation, the output display module generally uses a display screen.

[0017] Furthermore, a behavior event database is established in the personnel energy rating module, and the behavior event database 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. Detection of a window remaining or changing 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 of the air conditioner from turning on to turning off does not exceed a fixed number of times (usually 2 times); 3. When the air conditioner is in cooling mode, the cooling temperature is controlled not to be lower than a specific cooling temperature (usually 26°C); 4. When the air conditioner is in heating mode, the heating temperature is controlled not to be higher than a specific heating temperature (usually 28°C); The energy consumption event library includes one or more of the following energy consumption events: 1. After the air conditioner is turned on and runs for a certain period of time (usually 1-3 minutes), the window switch sensor detects that the window is still open; 2. When the air conditioner is running, the air conditioner temperature is changed more than a fixed number of times (usually 3 times) within a continuous unit time (usually 5 minutes); 3. The personnel behavior perception module detects that the air conditioner is not turned off for more than a fixed time (usually 5 minutes) after all personnel leave the office; 4. When the external temperature sensor detects that the external temperature of the office room is lower than the internal temperature, the air conditioner is in cooling mode; 5. When the external temperature sensor detects that the external temperature of the office room is higher than the internal temperature, the air conditioner is in heating mode; 6. When the air conditioner is in cooling mode, the personnel behavior perception module detects that the person is wearing clothes; 7. When the air conditioner is in heating mode, the personnel behavior perception module detects that the person is taking off clothes or fanning; When the personnel energy rating module determines that any energy-saving event occurs in the office, the energy-saving index is controlled to increase by a specific value (plus one); when it determines that any energy consumption event occurs in the office, the energy-saving index is controlled to decrease by a specific value (minus one), and the corresponding personnel energy-saving index value is statistically obtained within a unit time day (a week or a month).

[0018] In this way, when it is judged that office staff have energy-saving behaviors, the energy-saving index is controlled to increase, and when there are energy-consuming events, the energy-saving index is controlled to decrease. Various energy-saving and energy-consuming behaviors are detected and judged from both positive and negative aspects, and the energy-saving index value obtained can better show the actual energy-saving and energy-consuming situation.

[0019] Furthermore, the data processing module also includes an office energy rating module, which is used to collect and calculate the total energy consumption of air conditioners in each office within a unit time day (a week or a month), calculate the per capita energy consumption according to the actual number of people in the office, and compare it with the per capita energy consumption in the same period of previous years. When the per capita energy consumption increases, the statistically obtained personnel energy-saving index is adjusted to reduce the corresponding value according to the increase ratio; when the per capita energy consumption decreases, the statistically obtained personnel energy-saving index is adjusted to increase the corresponding value according to the decrease ratio (for example, if the per capita energy consumption increases by one kilowatt-hour within a unit time day, the energy-saving index is controlled to be reduced by one, and if it decreases by one kilowatt-hour, the energy-saving index is controlled to be increased by one) ; Then compare the per capita energy consumption of the office (calculated based on the actual number of people) with the per capita energy consumption of all offices of the enterprise (calculated based on the actual number of people). If the energy consumption is higher, adjust the personnel energy-saving index obtained by statistics to reduce the corresponding value according to the proportion of the excess; if the energy consumption is lower, adjust the personnel energy-saving index obtained by statistics to increase the corresponding value according to the proportion of the difference (for example, if the per capita energy consumption exceeds one kilowatt-hour per day, the energy-saving index is reduced by one, and if the difference is one kilowatt-hour, the energy-saving index is increased by one), and the office energy-saving index is obtained; according to the final office energy-saving index, the energy-saving index of each office is rated from high to low.

[0020] In this way, the energy-saving behavior of office staff and the energy consumption of the office after vertical and horizontal comparisons are combined to comprehensively judge the energy-saving index of the office, which can more comprehensively reflect the energy-saving and energy consumption of each office. During implementation, if the office has been established for less than one year, there is no need for vertical comparison, only horizontal comparison of each office is sufficient.

[0021] Furthermore, the energy-saving index levels include excellent energy-saving office, energy-saving office, energy-consuming office and wasteful office.

[0022] Furthermore, the actual number of people in the office is obtained by dividing the sum of all the times when all people are detected to enter the office during the statistical period by the prescribed working hours of each person.

[0023] In this way, calculating the number of employees based on the average of the total time all employees spend in the office is fairer and makes the results more reliable and accurate.

[0024] 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 hall or cafeteria, and the display screen is used to display the energy-saving index level of each office.

[0025] In this way, the use of rewards and punishments displayed in public can better inspire office staff to have a sense of honor for energy conservation and consumption reduction, and better produce the effect of office staff actively saving energy.

[0026] Compared with the prior art, the present invention has the following advantages and effects: 1. It can realize the perception of terminal employee behavior, introduce behavior perception technology and install various sensors, and judge employee behavior patterns by sensing the operation of indoor equipment by employees, so as to guide enterprises to pay attention to offices in high energy consumption areas. 2. It can objectively rate the energy-saving effects of each office. By introducing employee behavior collection technology and intelligent control modules, it provides a simple and efficient rating module for user enterprises, and separates the energy-saving behavior habits of employees and the power consumption of office areas for energy-saving grade evaluation and display, avoiding the "benchmark behavior" setting being too subjective due to factors such as the judges' lack of understanding, observation angles, and the complexity of specific situations in different office scenarios, which affects the objectivity of the rating results, and gives enterprises space and references for multi-angle considerations when formulating reward and punishment systems.

[0027] Therefore, this method can effectively solve the problem that the air conditioning equipment in the corporate office building is difficult to supervise, which leads to the increase of the energy consumption cost of the enterprise. It can better enhance the office staff's awareness of energy saving, promote the construction of green office environment, promote the development of intelligent building technology, and better save energy and reduce the creation of economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is a structural block diagram of the enterprise office air conditioning operation management system adopted by the present invention.

[0029] Figure 2 This is a structural block diagram of the data processing module in the enterprise office air conditioning operation management system adopted by the present invention. DETAILED DESCRIPTION

[0030] The present invention is further described in detail below in conjunction with specific implementation modes.

[0031] When implemented specifically: A method for energy-saving control of air conditioning operation in corporate offices, which is characterized by monitoring the operation of air conditioners 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 increasing or decreasing the energy-saving index, and according to the final energy-saving index values ​​of each office, rewarding offices with high values ​​and punishing offices with low values.

[0032] In this way, this method obtains the energy-saving index based on the objectively collected energy-saving and energy-consuming behaviors of office personnel, and rewards and punishes office personnel according to the value, and feeds back to each office personnel to help achieve subjective behavior adjustment; it can effectively make office users actively save energy. Therefore, this method improves the human-computer correlation, improves the humanization of energy-saving management, and improves the user's active energy-saving awareness, which can better help enterprises achieve the effect of energy saving and consumption reduction. Among them, the rewards and punishments can be spiritual rewards and punishments such as praise and criticism, or material rewards and punishments such as bonus increases and decreases.

[0033] Among them, the average energy consumption of each office per user per unit time is collected to determine the trend of energy consumption reduction and increase and to increase or decrease the energy saving index.

[0034] In this way, by combining the user situation and the overall office situation, the office energy-saving situation can be judged more scientifically and accurately, and the energy-saving effect can be better improved.

[0035] Among them, each office is rated according to its energy-saving index, and the rating results are displayed in the company's public areas.

[0036] In this way, it can better inspire office staff to save energy on their own.

[0037] In this embodiment, the method is implemented by an enterprise office air conditioning operation management system, the enterprise office air conditioning operation management system, see Figure 1-Figure 2 ,include: The personnel behavior sensing module 1 includes a wide-angle camera 2 installed at a top corner of the office room, which 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 sensing module also includes a human presence sensor 3 installed at the upper end of the door frame of the office room, which is used to sense the entry and exit of office personnel and is connected to the control center; Environmental data collection module 4, the environmental data collection 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 switch status and is connected to the control center, the environmental data collection module also includes an indoor temperature sensor 6 installed inside the office and an outdoor temperature sensor 7 outside (outside the exterior wall on the side where the window is installed), and both the indoor temperature sensor and the outdoor temperature sensor are connected to the control center; The air conditioning intelligent gateway module 8 is connected to the office air conditioning 9 and is used to monitor and count the operation of the air conditioning. The air conditioning intelligent gateway module 8 is connected to the control center; 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 which are connected in sequence; the data receiving module 11 is respectively connected to the personnel behavior perception module 1, the environmental data acquisition module 4 and the air conditioning intelligent gateway module 8 and receives data; the data processing module 12 includes a thermal perception behavior extraction module 15 and a personnel energy rating module 16, the thermal perception behavior extraction module 15 is used to judge and extract the thermal perception action behavior of the personnel in the office, the thermal perception action behavior includes dressing, undressing and fanning, the personnel energy rating module 16 is used to identify the energy use behavior of the office personnel, increase the energy saving index when it is determined that there is energy saving behavior, and reduce the energy saving index when it is determined that there is energy consumption behavior; the data storage module is used to store data and judgment results; the output display module is used to display the energy saving index results.

[0038] In this way, the personnel behavior perception module used first senses the personnel entering and leaving the office through the human presence sensor, and links with the wide-angle camera. When it is detected that someone has entered the office, the control center starts the wide-angle camera to start working, and collects the actions and behaviors of the people in the room. When it is detected that all people have left the office, the camera is controlled to stop working. The human presence sensor itself is an existing device, and generally can use infrared sensing or frequency-modulated continuous wave millimeter wave radar monitoring to achieve signal sensing and collection. Its own structure is an existing technology and is not described in detail here. The wide-angle camera is used to shoot and monitor the internal area of ​​the office, obtain the personnel behavior image of the employees in the area, and establish a communication connection with the control center through the communication device according to the network protocol (such as RTSP / HTTP) adopted by the camera, collect real-time image stream data, and then temporarily store it in the data storage module in a suitable format, waiting for further processing, to realize the energy-saving and energy-consuming behavior event judgment of office personnel.

[0039] In the environmental data acquisition module, the window switch sensor itself is a mature existing technology or existing device. It is installed on the window frame and can determine the opening and closing status of the window by detecting pressure changes or the rotation angle of the window shaft, which is used to assist in the energy-saving and energy-consuming behavior event judgment of office personnel. The temperature sensors are installed inside and outside the office respectively to detect the temperature inside and outside the room, which is used to assist in the energy-saving and energy-consuming behavior event judgment of office personnel.

[0040] The air-conditioning intelligent gateway module adopted is used for real-time monitoring and information statistics of the air-conditioning valve status / air-conditioning system operation mode / room set temperature and air-conditioning energy consumption, etc., to assist in realizing the energy-saving and energy-consuming behavior event judgment of office personnel, and to assist in realizing the increase and decrease judgment of the office energy-saving index; it is itself a mature existing technology, and the specific structure is not described in detail here.

[0041] In the control center, the data receiving module is used to receive various types of collected data. After the data is received, it is stored in the data storage module and waits for processing. The data processing module is used to process various types of data. The thermal perception behavior extraction module is used to process the data captured by the wide-angle camera. During the processing, the captured image of the behavior information of the people in the office is first extracted, the collected image is grayed and then denoised (Gaussian filtering, median filtering and other filtering methods can be used to improve the clarity and quality of the image), and then the image is resized to complete the preprocessing. Then the preprocessed image is input into the loaded deep learning target detection algorithm (YOLO) model (for the subsequent energy-saving and energy-consuming event judgment, including the judgment of thermal perception behaviors such as dressing, undressing and fanning, it is necessary to conduct a lot of training in the data processing module based on the YOLO algorithm in advance, learn the characteristics of these thermal perception behaviors, and establish a thermal perception behavior recognition knowledge base). The model performs multiple convolution, pooling, activation and other operations on the image to extract the feature information in the image, and detects the probability of the behavior category shown by the person in the image by comparing it with the various behavior characteristics of the thermal perception behavior recognition knowledge base that has been learned and established. Then these probabilities are compared with the corresponding set thresholds. If it is greater than or equal to the corresponding threshold, it is judged that the person is performing the thermal perception behavior (dressing, undressing and fanning), and finally the results are associated with time and stored in the database, so that the subsequent personnel energy rating module can be used to rate the energy behavior of office personnel. When the personnel energy rating module is used, it collects all the information collected by the personnel behavior perception module, the environmental data acquisition module and the air conditioning intelligent gateway module, and uniformly identifies and judges the energy behavior of office personnel according to 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 of energy-saving events 1 and 2 is the air-conditioner on, the trigger action of energy-saving event 3 is the air-conditioner on in cooling mode, the trigger action of energy-saving event 4 is the air-conditioner on in heating mode, the trigger action of energy-consuming event 1 is the air-conditioner on, the trigger action of energy-consuming event 2 is the first temperature adjustment when the air-conditioner is running, the trigger action of energy-consuming event 3 is everyone leaving the office, the trigger action of energy-consuming event 4 is the temperature of the external temperature sensor is lower than the temperature of the internal temperature sensor, the trigger action of energy-consuming event 5 is the temperature of the external temperature sensor is higher than the temperature of the internal temperature sensor, the trigger action of energy-consuming event 6 is the detection of a person wearing clothes, and the trigger action of energy-consuming event 7 is the detection of a person taking off clothes or fanning). When the trigger action signal is detected, the corresponding information data is detected to determine whether the other behaviors of the event are generated according to the event behavior definition, and then the energy-saving or energy-consuming behavior is determined. During implementation, the output display module generally uses a display screen.

[0042] During implementation, a behavior event database is established in the personnel energy rating module 16, and the behavior event database 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. Detection of a window remaining or changing 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 of the air conditioner from turning on to turning off does not exceed a fixed number of times (usually 2 times); 3. When the air conditioner is in cooling mode, the cooling temperature is controlled not to be lower than a specific cooling temperature (usually 26°C); 4. When the air conditioner is in heating mode, the heating temperature is controlled not to be higher than a specific heating temperature (usually 28°C); The energy consumption event library includes one or more of the following energy consumption events: 1. After the air conditioner is turned on and runs for a certain period of time (usually 1-3 minutes), the window switch sensor detects that the window is still open; 2. When the air conditioner is running, the air conditioner temperature is changed more than a fixed number of times (usually 3 times) within a continuous unit time (usually 5 minutes); 3. The personnel behavior perception module detects that the air conditioner is not turned off for more than a fixed time (usually 5 minutes) after all personnel leave the office; 4. When the external temperature sensor detects that the external temperature of the office room is lower than the internal temperature, the air conditioner is in cooling mode; 5. When the external temperature sensor detects that the external temperature of the office room is higher than the internal temperature, the air conditioner is in heating mode; 6. When the air conditioner is in cooling mode, the personnel behavior perception module detects that the person is wearing clothes; 7. When the air conditioner is in heating mode, the personnel behavior perception module detects that the person is taking off clothes or fanning; When the personnel energy rating module 16 determines that any energy-saving event occurs in the office, the energy-saving index is controlled to increase by a specific value (plus one); when it determines that any energy-consuming event occurs in the office, the energy-saving index is controlled to decrease by a specific value (minus one), and the corresponding personnel energy-saving index value is obtained by statistics within a unit time day (a week or a month).

[0043] In this way, when it is judged that office staff have energy-saving behaviors, the energy-saving index is controlled to increase, and when there are energy-consuming events, the energy-saving index is controlled to decrease. Various energy-saving and energy-consuming behaviors are detected and judged from both positive and negative aspects, and the energy-saving index value obtained can better show the actual energy-saving and energy-consuming situation.

[0044] During implementation, the data processing module 12 also includes an office energy rating module 17, which is used to collect and calculate the total energy consumption of air conditioners in each office within a unit time day (a week or a month), calculate the per capita energy consumption according to the actual number of people in the office, and compare it with the per capita energy consumption in the same period of previous years. When the per capita energy consumption increases, the statistically obtained personnel energy-saving index is adjusted to reduce the corresponding value according to the increase ratio; when the per capita energy consumption decreases, the statistically obtained personnel energy-saving index is adjusted to increase the corresponding value according to the decrease ratio (for example, if the per capita energy consumption increases by one kilowatt-hour within a unit time day, the energy-saving index is controlled to decrease by one, and if the per capita energy consumption decreases by one kilowatt-hour, the energy-saving index is controlled to increase by one). 1); then compare the per capita energy consumption of the office (calculated based on the actual number of people) with the per capita energy consumption of all offices of the enterprise (calculated based on the actual number of people). If the energy consumption is higher, adjust the personnel energy-saving index obtained by statistics to reduce the corresponding value according to the proportion of the excess; if the energy consumption is lower, adjust the personnel energy-saving index obtained by statistics to increase the corresponding value according to the proportion of the difference (for example, if the per capita energy consumption exceeds one kilowatt-hour per day, the energy-saving index is controlled to be reduced by one, and if the difference is one kilowatt-hour, the energy-saving index is controlled to be increased by one), and the office energy-saving index is obtained; according to the final office energy-saving index, the energy-saving index of each office is rated from high to low.

[0045] In this way, the energy-saving behavior of office staff and the energy consumption of the office after vertical and horizontal comparisons are combined to comprehensively judge the energy-saving index of the office, which can more comprehensively reflect the energy-saving and energy consumption of each office. During implementation, if the office has been established for less than one year, there is no need for vertical comparison, only horizontal comparison of each office is sufficient.

[0046] When implemented, the energy-saving index levels include excellent energy-saving office, energy-saving office, energy-consuming office and wasteful office.

[0047] During implementation, the actual number of people in the office is obtained by dividing the sum of all the times when all people are detected entering the office during the statistical period by the prescribed working hours of each person.

[0048] In this way, calculating the number of employees based on the average of the total time all employees spend in the office is fairer and makes the results more reliable and accurate.

[0049] During implementation, 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 hall or cafeteria. The display screen is used to display the energy-saving index level of each office.

[0050] In this way, the use of public display of rewards and punishments can better inspire office staff to have a sense of honor for energy conservation and consumption reduction, and better produce the effect of office staff actively saving energy. When displaying, the office name and the names and portraits of the staff at each level of energy conservation index can be displayed, and the names of offices at different energy conservation levels can be changed 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 conditioners in each office and collect information on the behavior of people in each office, determine whether there are energy-saving and energy-consuming behaviors, and increase or decrease the energy-saving index. Based on the final energy-saving index value of each office, reward offices with high values ​​and punish offices with low values.

2. The energy-saving control method for air conditioning operation in an enterprise office as claimed in claim 1, characterized in that: Collect the average energy consumption of each office by the number of users per unit time, determine the trend of energy consumption reduction and increase, and increase or decrease the energy saving index.

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

4. The energy-saving control method for air conditioning operation in an enterprise office as claimed in claim 1, characterized in that: The method is implemented by an enterprise office air conditioning operation management system, the enterprise office air conditioning operation management system comprising: The personnel behavior sensing module includes a wide-angle camera installed at the top corner 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 sensing module also includes a human presence sensor installed at the upper end of the door frame of the office room. The human presence sensor is used to sense the entry and exit of office personnel and is connected to the control center. An 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 switch status and is connected to the control center. The environmental data acquisition module also includes a temperature sensor installed inside and outside the office (on the outside of the exterior wall on the side where the window is installed). The temperature sensor is connected to the control center; Air conditioning intelligent gateway module, the air conditioning intelligent gateway module is connected to the office air conditioning and is used to monitor and count the air conditioning operation status, and the air conditioning intelligent gateway module is connected to the control center; Control center, the control center includes a data receiving module, a data processing module, a data storage module and an output display module which are connected in sequence; the data receiving module is respectively connected to the personnel behavior perception module, the environmental data acquisition module and the air conditioning intelligent gateway module and receives data; the data processing module includes a thermal perception behavior extraction module and a personnel energy rating module, the thermal perception behavior extraction module is used to judge and extract the thermal perception action behaviors of the personnel in the office, the thermal perception action behaviors include dressing, undressing and fanning, the personnel energy rating module is used to identify the energy usage behaviors of the office personnel, increase the energy saving index when it is determined that there is energy saving behavior, and reduce the energy saving index when it is determined that there is energy consumption behavior; the data storage module is used to store data and judgment results; the output display module is used to display the energy saving index results.

5. The energy-saving control method for air conditioning operation in an enterprise office as claimed in claim 4, characterized in that: A behavior event database is established in the personnel energy rating module, and the behavior event database 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 that the window remains or changes to a closed state within a certain period of time before and after the air conditioner is turned on; 2. The temperature adjustment of the air conditioner from turning on to turning off does not exceed a fixed number of times; 3. When the air conditioner is in cooling mode, the cooling temperature is controlled not to be lower than a specific cooling temperature; 4. When the air conditioner is in heating mode, the heating temperature is controlled not to be higher than a specific heating temperature; The energy consumption event library includes one or more of the following energy consumption events:

1. After the air conditioner is turned on and runs for a certain period of time, the window switch sensor detects that the window is still open; 2. The air conditioner temperature is changed more than a fixed number of times in a continuous unit time when the air conditioner is running; 3. The personnel behavior perception module detects that the air conditioner is not turned off for a fixed time after all personnel leave the office; 4. When the external temperature sensor detects that the external temperature of the office room is lower than the internal temperature, the air conditioner is in cooling mode; 5. When the external temperature sensor detects that the external temperature of the office room is higher than the internal temperature, the air conditioner is in heating mode; 6. When the air conditioner is in cooling mode, the personnel behavior perception module detects that the person is wearing clothes; 7. When the air conditioner is in heating mode, the personnel behavior perception module detects that the person is taking off clothes or fanning; When the personnel energy rating module determines that any energy-saving event occurs in the office, the energy-saving index is controlled to increase by a specific value; when it determines that any energy-consuming event occurs in the office, the energy-saving index is controlled to decrease by a specific value, and the corresponding personnel energy-saving index value is statistically obtained within a unit time day.

6. The energy-saving control method for air conditioning operation in an enterprise office as claimed in claim 4, characterized in that: The data processing module also includes an office energy rating module, which is used to collect and calculate the total energy consumption of air conditioners in each office within a unit time day, calculate the per capita energy consumption according to the actual number of people in the office, and compare it with the per capita energy consumption in the same period of previous years. When the per capita energy consumption increases, the statistically obtained personnel energy-saving index is adjusted to decrease by a corresponding value according to the increase ratio; when the per capita energy consumption decreases, the statistically obtained personnel energy-saving index is adjusted to increase by a corresponding value according to the decrease ratio; then the per capita energy consumption of the office is compared with the per capita energy consumption of all offices in the enterprise. If the energy consumption is higher, the statistically obtained personnel energy-saving index is adjusted to decrease by a corresponding value according to the excess ratio; if the energy consumption is lower, the statistically obtained personnel energy-saving index is adjusted to increase by a corresponding value according to the difference ratio to obtain the office energy-saving index; based on the final office energy-saving index, the energy-saving index of each office is rated from high to low.

7. The energy-saving control method for air conditioning operation in an enterprise office as claimed in claim 6, characterized in that: The energy-saving index levels include excellent energy-saving office, energy-saving office, energy-consuming office and wasteful office.

8. The energy-saving control method for air conditioning operation in an enterprise office as claimed in claim 6, characterized in that: The actual number of people in the office is obtained by dividing the sum of all the times when all people were detected entering the office during the statistical period by the specified working hours of each person.

9. The energy-saving control method for air conditioning operation in an enterprise office as claimed in claim 6, 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 hall or cafeteria. The display screen is used to display the energy-saving index level of each office.

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