A Central Air Conditioning Energy Saving Regulation Method and System for Indoor Operation State Analysis

Abstract

The present invention belongs to the technical field of air-conditioning regulation and control, and specifically relates to a central air-conditioning energy-saving regulation and control method and system for indoor operation state analysis; it includes a multi-source information acquisition module, a personnel identification module, a data calculation module, an energy supply regulation and control module, a floor recommendation module, and an operating system module; the present invention integrates multi-source data of an intelligent park, accurately calculates the per capita occupied area, and intelligently regulates the energy supply according to seasons, room types, and weather. It dynamically adjusts before and after work and optimizes in combination with changes in the entry and exit of personnel and vehicles. It not only greatly reduces energy consumption and saves costs, but also improves the comfort of personnel. It also integrates park data to improve the intelligent management level and realizes multiple optimizations of energy conservation, comfort, and management.

Description

Technical Field

[0001] The present invention belongs to the technical field of air-conditioning control, and specifically relates to a central air-conditioning energy-saving control method and system for analyzing indoor operation states. Background Art

[0002] In modern commercial and office environments, central air-conditioning systems are widely used in various buildings, especially office buildings and workplaces in smart parks. However, current central air-conditioning systems face many problems that need to be solved urgently during operation, seriously affecting energy utilization efficiency and user experience.

[0003] From the perspective of energy consumption, traditional central air-conditioning control methods lack precision and intelligence. Most systems only perform simple on-off control based on preset temperature thresholds, without fully considering the dynamic changes in the actual number of people, space area, and environmental factors indoors. For example, in some office areas, although the number of employees has decreased significantly due to reasons such as leaving work or business trips, the air conditioner still operates continuously at the set power, resulting in a large amount of energy waste. The energy waste caused by unreasonable control is very serious, which not only increases the operating costs of enterprises but also goes against the global concept of energy conservation and emission reduction.

[0004] In terms of personnel comfort, existing control systems are difficult to meet diverse needs. In different seasons and time periods, indoor personnel have different feelings about temperature, humidity, and air quality. In summer, in a small and crowded space, if the air-conditioning cooling capacity is insufficient, it will cause the indoor environment to be stuffy, affecting the work efficiency of personnel. In a large area with few people, excessive cooling will make people feel cold and uncomfortable. The same is true in winter. In a room with a small average per capita occupied area, if the air conditioner heats too much, it will make the indoor air dry, causing discomfort to people and wasting energy. In a large space with few people, insufficient heating cannot ensure a warm indoor environment.

[0005] In summary, it is urgent to develop a central air-conditioning energy-saving control system that can comprehensively consider various factors, achieve precise energy-saving control, and improve personnel comfort. Summary of the Invention

[0006] To make up for the deficiencies of the prior art, the technical solution adopted by the present invention to solve its technical problems is: a central air-conditioning energy-saving control system for analyzing indoor operation states, including a multi-source information acquisition module, a personnel recognition module, a data calculation module, and an energy supply control module;

[0007] The multi-source information acquisition module: interacts with the smart park management system and is responsible for obtaining the area information of park tenants and the entered number of employees in the smart park management system;

[0008] The personnel identification module: It is linked with the cameras in the smart park with the help of the multi-source information acquisition module; the personnel identification module includes an image acquisition unit and an image analysis unit; the image acquisition unit is used to collect personnel image information in the area covered by the cameras; the image analysis unit is used to process and analyze the collected images, and accurately determine the actual number of personnel in each household by identifying the facial features, body contours and movement trajectories of the personnel.

[0009] The data calculation module: According to the area of the park tenants and the information of the recorded number of employees, calculate the occupied area per capita on record; at the same time, according to the area of the park tenants and the actual number of people identified by the personnel identification module, calculate the estimated occupied area per capita; on this basis, the data calculation module calculates the average occupied area per capita through the occupied area per capita on record and the estimated occupied area per capita.

[0010] The energy supply regulation module: According to the average occupied area per capita obtained by the data calculation module, combined with environmental factors in different seasons, accurately regulate the energy supply of each tenant.

[0011] Furthermore, the multi-source information acquisition module also includes obtaining the commuting times of the tenant companies entered in the smart park management system, and according to the commuting times of the tenants, combined with the outdoor temperature conditions, preheating or precooling the rooms rented by the tenants in advance.

[0012] Furthermore, the multi-source information acquisition module also includes obtaining the power system information in the smart park management system, judging the specific commuting times of the tenants by analyzing the power system information, and comparing with the commuting times recorded in the smart park management system.

[0013] Furthermore, the multi-source information acquisition module also includes obtaining the vehicle identification information in the smart park management system; by identifying the corresponding license plate numbers, combined with the personnel information identified by the personnel identification module and the personnel information in the smart park management system, accurately identifying the vehicles and personnel entering or leaving the park, and determining their corresponding tenants through data comparison; according to the identification results, perform operations such as pre-supplying energy, reducing energy supply or stopping energy supply in advance, and collect commuting time data at the same time.

[0014] Furthermore, it also includes a floor recommendation module; the floor recommendation module puts forward reasonable suggestions on the floor distribution of the tenants by comparing the commuting times of the tenants updated in real time in the system, so as to prompt the tenants with similar commuting times to be concentrated on the same floor.

[0015] Furthermore, it also includes an operating system module; the operating system module is used for comprehensive control and status display of the central air conditioning in the entire smart park, specifically including a login unit, a verification unit, a control unit and a recording unit.

[0016] The login unit: responsible for tenant registration and login account, modifying the resident login account and password, and tenant logging in to the system through the account password for operation;

[0017] The verification unit: accurately determine the specific location of the renter by verifying the relevant information of the login person;

[0018] The control unit: after the verification unit completes the information verification, the control unit will display the floor plan of the renter's place, mark the positions of multiple air outlets, and be equipped with corresponding control buttons; the tenant can flexibly control the operation modes of different air outlets through these control buttons, such as cooling, heating, ventilation, humidification, air volume, temperature, angle, etc.

[0019] The recording unit: responsible for recording the control data of the control unit and feeding back these data to the energy-saving control system for optimizing and adjusting the system; when the tenant is not satisfied with the energy supply situation automatically regulated by the regulation system, the tenant can log in to the operation system module through the account password.

[0020] Furthermore, the operation system module further includes an automatic adjustment opening and closing unit; the automatic adjustment opening and closing unit is used to close or open the automatic control authority of the energy-saving regulation system for the central air conditioner in the tenant area.

[0021] Furthermore, the operation system module further includes a duration limit unit; the duration limit module is used to limit the manual operation duration of the tenant after the tenant uses the adjustment knob to control or closes the automatic regulation through the automatic adjustment opening and closing unit; after the duration reaches the set value, it automatically switches to the automatic regulation mode of the energy-saving regulation system.

[0022] Furthermore, the operation system module further includes a feedback unit; the feedback unit is used for the tenant to submit feedback opinions on the use of the central air conditioner energy-saving regulation system.

[0023] A central air conditioner energy-saving regulation method for analyzing indoor operation status includes the following steps:

[0024] S1: Information collection: The multi-information acquisition module obtains tenant area, number of employees, commuting time, electricity and vehicle identification information from the intelligent park management system; the personnel identification module links the camera to collect personnel image information;

[0025] S2: Data processing and calculation: The image analysis unit processes the image to identify the number of personnel and the affiliated tenant; the data calculation module calculates the occupied area per capita on record, the estimated occupied area per capita and the average occupied area per capita based on the relevant data;

[0026] S3: Energy supply regulation: The energy supply regulation module intelligently regulates the energy supply of each tenant according to factors such as average occupied area per capita, season, house type orientation, weather and floor.

[0027] S4: Time-related energy saving: In combination with the commuting times, preheat or precool before work, reduce the energy supply before getting off work, and turn off after getting off work; optimize the energy supply time using power information, and adjust the energy supply according to the entry and exit of people and vehicles.

[0028] S5: Auxiliary optimization operation: The floor recommendation module suggests floor distribution according to commuting times for energy-saving regulation; tenants log in, control, and give feedback through the operation system module. The system also has functions such as automatic control switches and operation duration limits. When manual adjustment is required, manual adjustment can be selected through the automatic control switch.

[0029] The beneficial effects of the present invention are as follows:

[0030] 1. For a central air-conditioning energy-saving regulation method and system for indoor operation state analysis according to the present invention, by accurately collecting multiple information such as tenant area, number of employees, and real-time number of people, accurately calculating the per capita occupied area, and intelligently regulating the energy supply in combination with factors such as season, house type, and weather; time-related energy-saving measures such as preheating or precooling before work, reducing the energy supply before getting off work, and turning off after getting off work avoid ineffective energy supply; at the same time, dynamically adjusting according to the entry and exit of people and vehicles reduces energy loss. Compared with traditional regulation methods, it is expected to significantly reduce air-conditioning energy consumption and effectively save energy costs.

[0031] 2. For a central air-conditioning energy-saving regulation method and system for indoor operation state analysis according to the present invention, fully considering the relationship between the number of people and the space, enhancing refrigeration and increasing ventilation in small areas or areas with a large number of people in summer, and reducing refrigeration in large areas or areas with a small number of people; vice versa in winter; also combined with house type orientation, floor, and weather for adjustment, such as increasing the energy supply for south-facing households in summer and reducing it in winter; tenants can also manually adjust through the operation system to meet personalized needs, comprehensively improving the comfort of people in different seasons and environments.

[0032] 3. For a central air-conditioning energy-saving regulation method and system for indoor operation state analysis according to the present invention, through the deep integration of the multi-information acquisition module and the intelligent park management system, integrating data such as cameras, vehicle recognition, and power systems to achieve information sharing and collaboration; the floor recommendation module optimizes the tenant floor distribution according to commuting times to improve the energy supply efficiency of public areas; the operation system module records operation data for feedback optimization, enhancing the intelligent management level of the park and providing strong support for the efficient operation of the park. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The present invention will be further described below with reference to the accompanying drawings.

[0034] Figure 1 It is a block diagram of the central air-conditioning energy-saving regulation system of the present invention;

[0035] Figure 2It is the flowchart of the central air-conditioning energy-saving regulation method of the present invention. Specific embodiments

[0036] In order to make the technical means, creative features, achieved purposes and effects of the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0037] Embodiment 1:

[0038] As Figure 1 shown, the present invention proposes a central air-conditioning energy-saving regulation system for indoor operation state analysis, including a multi-information acquisition module, a personnel recognition module, a data calculation module and an energy supply regulation module;

[0039] The multi-information acquisition module: interacts with the intelligent park management system and is responsible for obtaining the area information of the park tenants and the entered number of employees in the intelligent park management system;

[0040] The personnel recognition module: realizes linkage with the cameras in the intelligent park with the help of the multi-information acquisition module; the personnel recognition module includes an image acquisition unit and an image analysis unit; the image acquisition unit is used to collect the personnel image information in the area covered by the camera; the image analysis unit is used to process and analyze the collected images, and accurately determine the actual number of personnel in each household by identifying the facial features, body contours and movement trajectories of the personnel.

[0041] The specific workflow of the image analysis unit is as follows: First, the collected original video images are preprocessed. In the denoising process, the noise interference caused by factors such as light changes and equipment performance is effectively removed, significantly improving the clarity of the image; the enhancement process highlights the key information in the image, such as the outline of the character; the grayscale process converts the color image into a grayscale image, which simplifies the amount of subsequent processing data while ensuring that the key features are not affected. Subsequently, target detection algorithms based on deep learning are used, such as YOLO (You Only Look Once) and Faster-RCNN (Region-Convolutional Neural Networks). These algorithms are trained with a large amount of image data containing human targets, and can accurately detect human targets in the preprocessed images and clearly determine the position and contour range of the human body in the image. For the detected human targets, specific algorithms and models are used to extract their action features, such as analyzing the position changes of human joints and tracking the movement trajectory of limbs. Through these features, the behavioral status of people can be further understood, such as whether they are walking, standing, sitting, etc., providing rich information for subsequent headcount and personnel identity association. Finally, based on the extracted motion features and combined with the pre-trained motion recognition model, the number of people in the image is identified. The model learns the motion features of a large number of different scenes and different numbers of people, establishes a mapping relationship between features and number of people, and thus accurately determines the number of people in the current picture. Since the park management system is deeply bound to the camera system, each camera has a unique number identification, and the identification is clearly associated with the corresponding resident information in the park management system. When the camera captures the image and completes the analysis, the system will automatically search for the corresponding floor information in the park management system based on the camera number, and determine the residents to whom these people belong based on the movement trajectory of the people, and then calculate the actual number of people in each household.

[0042] The data calculation module calculates the registered per capita occupied area based on the park tenant area and the input employee number information; at the same time, calculates the estimated per capita occupied area based on the park tenant area and the actual number of people identified by the personnel identification module; on this basis, the data calculation module calculates the average per capita occupied area through the registered per capita occupied area and the estimated per capita occupied area.

[0043] The specific calculation formula is: Let the tenant area be X, the number of employees entered be Y, and the actual number of people identified by the personnel identification module be Z, then the average occupied area per person on record is , the estimated per capita occupied area is The average per capita area is .

[0044] The energy supply control module: Based on the average per capita occupied area calculated by the data calculation module and combined with environmental factors in different seasons, it precisely controls the energy supply for each tenant household.

[0045] The specific control rules are as follows:

[0046] In summer, the smaller the average per capita occupied area, the higher the energy supply power and the stronger the cooling effect. This is to effectively address the problem of rapid temperature rise in environments with a small area or a large number of people. Higher energy supply can quickly lower the indoor temperature, improve the comfort of people, and at the same time increase the internal ventilation efficiency to ensure air quality. Conversely, the larger the average per capita occupied area, the lower the energy supply and the corresponding reduction in the cooling effect. Because in the case of a large area or a small number of people, the indoor temperature rises relatively slowly. Reducing the energy supply can not only save air-conditioning energy consumption but also reduce the air ventilation efficiency, further reducing energy consumption.

[0047] In winter, the smaller the average per capita occupied area, the more heat is exhaled by people, and the better the indoor temperature retention effect. At this time, the energy supply is reduced and the heating effect is weakened, which helps to prevent the indoor temperature from being too high, improve the comfort of people, and at the same time further increase the internal ventilation efficiency to improve air freshness. While the larger the average per capita occupied area, the fewer people result in less exhaled heat. By increasing the energy supply, it ensures that the indoor temperature rises, improves the comfort of the human body, and at the same time reduces the internal ventilation efficiency, reducing energy consumption on the premise of ensuring air freshness. In addition, the above control rules will also be intelligently adjusted in combination with the tenant room type orientation and the weather conditions of the day. For example, the households facing south will appropriately increase the energy supply in summer and reduce it in winter; the households facing north will reduce the energy supply in summer and increase it in winter. At the same time, it can also be adjusted in combination with the floor information. The top-floor households will increase the energy supply in summer, reduce it on sunny days in winter, and increase it on rainy or snowy days in winter; the low-floor households will reduce the energy supply in summer and increase it in winter.

[0048] The multi-information acquisition module also includes obtaining the commuting times of the tenant companies entered in the intelligent park management system, and based on the tenant commuting times and combined with the outdoor temperature conditions, preheating or precooling the rooms rented by the tenants in advance;

[0049] In this way, not only can the comfort of the tenants be effectively improved, but also the energy supply can be reduced in advance before the tenants get off work and completely shut down after they leave work, thus greatly reducing energy consumption. When all the tenants on the entire floor have left work, the system can directly cut off the energy supply for all the tenants on the entire floor, further achieving the purpose of energy conservation.

[0050] The multi-information acquisition module also includes obtaining the power system information in the intelligent park management system, and judging the specific commuting times of the tenants by analyzing the power system information, and comparing it with the commuting times recorded in the intelligent park management system.

[0051] Specifically, when the electricity consumption of the power system for the corresponding tenant on the same day shows a gentle increasing trend during non-night hours, it indicates that there are people entering the workplace for the corresponding tenant; when the power system enters the gentle increasing stage at night, it means that all the personnel of the corresponding tenant have left work. By continuously monitoring the data changes of the power system, the commuting times of the tenants can be determined in real time. Through a large amount of data comparison, the average working and leaving times can be obtained, and then the actual recorded commuting times in the system can be adjusted to optimize the early energy supply time, further improving the timeliness and accuracy of the control system.

[0052] The multi-information acquisition module further includes obtaining vehicle recognition information in the intelligent park management system; by identifying the corresponding license plate number, combining the personnel information identified by the personnel recognition module and the personnel information in the intelligent park management system, accurately identifying the vehicles and personnel entering or leaving the park, and determining their corresponding tenants through data comparison; according to the recognition results, perform energy supply, reduced energy supply or stop energy supply operations in advance, and collect commuting time data at the same time.

[0053] The specific process is as follows: When a tenant's vehicle enters the park, collect the vehicle license plate information, identify the location of the tenant where the vehicle is located through information comparison, and mark it as the personnel's working time, and start energy supply in advance. When the entry of personnel is detected, collect facial information at the park entrance, and combine the facial information, body posture characteristics information, action characteristics information, etc. of the personnel recorded by the personnel recognition module to determine the location of the tenant where the entering personnel is located, and perform early energy supply again and record the commuting time. After the entry of a vehicle or personnel into the park is recognized, the system re-adjusts the average per capita occupied area in real time through the energy supply control module, and then adjusts the energy supply intensity. When a vehicle or personnel leaves the park is recognized, the average per capita occupied area and energy supply intensity are also adjusted in real time through the energy supply control module. In addition, when the vehicle recognition module recognizes a non-park vehicle, determine whether it is a person previously recorded in the park through the personnel recognition module. If not, track the movement trajectory of the person in real time through the personnel recognition module. When the person enters a certain tenant area, it is judged as a visitor, and the internal energy supply of the tenant is adjusted in real time to improve the comfort of the personnel. By adjusting the energy supply intensity by adjusting the average per capita occupied area in real time, it can not only ensure the comfort of the personnel, but also further reduce the energy consumption of the central air conditioner. At the same time, adjust the commuting times of the personnel in real time, optimize the specific energy supply power and time, and achieve the maximum energy saving on the premise of ensuring the comfort of the personnel.

[0054] Embodiment 2:

[0055] As Figure 1As shown in the figure, a central air-conditioning energy-saving control system for indoor operation status analysis further includes a floor recommendation module; the floor recommendation module makes reasonable suggestions on the floor distribution of tenants by comparing the real-time updated commuting times of tenants in the system, so as to prompt tenants with similar commuting times to concentrate on the same floor.

[0056] The specific operation method is as follows: The floor recommendation module collects the commuting times of tenants in real time, screens out tenants with stable and similar commuting times, and sends them a suggestion to move into the same floor. When the tenant agrees to this suggestion, before the similar working time, the system can supply energy at a low power in advance for precooling or preheating operations, effectively avoiding the need for tenants with earlier working times on the same floor to supply energy to the entire floor's public area too early. Before the similar commuting time, the system appropriately reduces the power supply, avoiding the need for tenants with later commuting times on the same floor to stop supplying energy to the entire floor's public area even later, thereby reducing the energy consumption waste caused by the public area being used by only a small number of tenants and further improving the energy-saving effect.

[0057] Embodiment 3:

[0058] As Figure 1 shown in the figure, a central air-conditioning energy-saving control system for indoor operation status analysis further includes an operating system module; the operating system module is used for comprehensively controlling and displaying the status of the central air conditioners in the entire intelligent park, and specifically includes a login unit, a verification unit, a control unit, and a recording unit.

[0059] The login unit: is responsible for tenant registration and login accounts, modifying the resident login accounts and passwords, and tenant login operations through account passwords;

[0060] The verification unit: accurately determines the specific location of the logged-in person's rental by verifying the relevant information of the logged-in person.

[0061] The control unit: After the verification unit completes the information verification, the control unit will display the floor plan of the logged-in person's rental, mark the positions of multiple air outlets, and be equipped with corresponding control buttons; tenants can flexibly control the operation modes of different air outlets through these control buttons, such as cooling, heating, ventilation, humidification, air volume, temperature, angle, etc.

[0062] The recording unit: is responsible for recording the control data of the control unit and feeding back these data to the energy-saving control system for optimizing and adjusting the system.

[0063] When a tenant is not satisfied with the energy supply situation automatically regulated by the regulation system, the tenant can log in to the operating system module through the account password. After passing the verification by the verification unit, the tenant enters the control interface. This interface will display the tenant's apartment layout and the positions of the air outlets. Control buttons are provided at each air outlet position. After clicking the control button, the tenant can adjust the operation mode of the air outlet according to the displayed content. After the tenant makes adjustments, the recording unit will record the data of each adjustment and the relevant data of the indoor environment at that time. Through multiple data comparisons and screenings, based on the artificial intelligence learning algorithm, the system can record the usage habit data of the tenant and adaptively adjust the energy-saving regulation system according to these data, thereby enhancing the user experience and making the system more in line with the actual usage habits of the tenant.

[0064] The operating system module further includes an automatic adjustment opening and closing unit; the automatic adjustment opening and closing unit is used to close or open the automatic control authority of the energy-saving regulation system for the central air conditioner in the tenant's area.

[0065] When a tenant is not used to or dissatisfied with the automatic regulation of the central air conditioner in the tenant's room by the energy-saving regulation system, the tenant can turn off the automatic regulation function through this unit and completely manually control the operation of the central air conditioner in the tenant's room. This method not only improves the user experience, but also allows the tenant to adjust multiple air outlets in the room in real time through the detailed information displayed on the interface, with convenient and fast operation. Moreover, the system can clearly display the apartment layout and the positions of the air outlets, making the adjustment process more intuitive and convenient.

[0066] The operating system module further includes a duration limit unit; the duration limit module is used to limit the manual operation duration of the tenant after the tenant uses the adjustment knob to control or turns off the automatic regulation through the automatic adjustment opening and closing unit; after the duration reaches the set value, it automatically switches to the automatic regulation mode of the energy-saving regulation system.

[0067] After the tenant turns off the automatic regulation of the energy-saving regulation system through the automatic adjustment opening and closing unit, the tenant can input the manual adjustment limit duration through the duration limit unit, and the duration range includes a minimum of 1 minute to a maximum of permanent limit. After adjusting through the control knob, the tenant can also input the manual adjustment limit duration through the duration limit unit. This design makes the operation more convenient and effectively improves the adaptability of the central air conditioner energy-saving regulation system.

[0068] Embodiment 4:

[0069] As Figure 1 shown, a central air conditioner energy-saving regulation system for analyzing the indoor operation state, the operating system module further includes a feedback unit; the feedback unit is used for the tenant to submit feedback opinions on the use of the central air conditioner energy-saving regulation system.

[0070] During the user's use, if there are any problems or dissatisfaction with the automatic adjustment function or interface operation of the central air-conditioning energy-saving control system, feedback can be provided through the feedback unit. The feedback unit will transmit the tenant's feedback information to the property port in real time. The property can adjust the central air-conditioning energy-saving control system according to the tenant's use through manual processing or automatic recognition of keywords. Automatic recognition keywords include temperature, air volume, air freshness, etc., which can be accurately adjusted with the help of artificial intelligence algorithms. At the same time, tenants can also provide feedback and adjustment on the operation of the central air-conditioning energy-saving control system in the public area. The property can compare the feedback data of the entire floor manually or automatically, and adjust the data of the operation status of the public area of the entire floor. The adjusted data covers temperature, air volume, outlet angle, air freshness and other aspects.

[0071] Embodiment 5:

[0072] like Figure 2 As shown, a central air conditioning energy-saving control method for indoor operation status analysis includes the following steps:

[0073] S1: Information collection: The multi-information acquisition module obtains tenant area, number of employees, working hours, electricity and vehicle identification information from the smart park management system; the personnel identification module links the camera to collect personnel image information;

[0074] Use the multi-information acquisition module to establish a stable data exchange channel with the smart park management system. When obtaining tenant area information, the actual usage area of each room is accurate, rather than the general rental area, to ensure the accuracy of subsequent calculations. For the number of employees, not only the total number is recorded, but also subdivided by department and position, so as to analyze the distribution characteristics of personnel in different areas;

[0075] When obtaining information on work and off-get off work time, it is accurate to the minute, and historical work and off-get off work time data is collected to analyze its fluctuation pattern. At the same time, real-time monitoring of power data is carried out, including power consumption and power factor in different time periods, to provide a basis for judging tenants' power consumption behavior. For vehicle identification information, not only the license plate number is recorded, but also the time when the vehicle enters and leaves the park, the driving trajectory, etc., so as to more accurately grasp the flow of personnel;

[0076] The personnel identification module establishes an efficient linkage mechanism with the cameras at various locations in the park. According to the frequency and importance of personnel activities in different areas, the frame rate and resolution of the camera are reasonably adjusted. In crowded areas, such as office entrances and elevators, the camera frame rate is increased to more than 25 frames per second, and the resolution reaches 1080P or above to ensure that the collected personnel image information is clear and complete, providing high-quality data support for subsequent accurate identification of personnel.

[0077] S2: Data Processing and Calculation: The image analysis unit processes the images to identify the number of people and their affiliated tenants. The data calculation module calculates the occupied per capita area on record, the estimated per capita area, and the average per capita area based on relevant data.

[0078] After receiving the collected images, the image analysis unit first performs multiple rounds of preprocessing. It combines Gaussian filtering and median filtering to remove image noise and enhance the clarity and stability of the images. Through histogram equalization technology, the images are enhanced to highlight the contours and detailed features of the people. The color images are converted to grayscale images to simplify the data volume for subsequent processing without affecting the extraction of key features.

[0079] Advanced deep learning object detection algorithms, such as the optimized and trained YOLOv8 or the improved Faster-RCNN model, are used to detect human targets in the preprocessed images. During the detection process, the model parameters are continuously adjusted to improve the detection accuracy and recall rate. By analyzing the changes in the positions of human joint points and the movement trajectories of limbs, combined with a pre-trained action recognition model, the number of people in the images is accurately identified. At the same time, using the camera numbers and the movement trajectories of people, combined with the building layout and tenant distribution information in the park, the affiliated tenants of the people are accurately determined.

[0080] After obtaining data such as the tenant area, the number of employees, and the actual number of people, the data calculation module conducts multiple cross-validations. When calculating the occupied per capita area on record, a correction factor is introduced to adjust for the differences in space utilization efficiency on different floors and in different areas. When calculating the estimated per capita area, the actual number of people is dynamically weighted based on the activity patterns and time factors of the people. Finally, the average per capita area is calculated through a scientific algorithm to ensure the accuracy and reliability of the data.

[0081] S3: Energy Supply Regulation: The energy supply regulation module intelligently regulates the energy supply for each tenant based on the average per capita area, season, housing type orientation, weather, and floor factors.

[0082] The energy supply regulation module formulates different regulation strategies according to the calculated average per capita area in combination with seasonal changes. In summer, when the average per capita area is less than a certain threshold (such as 5 square meters per person), the cooling power is increased, the indoor temperature is set between 24°C and 26°C, and the ventilation volume is increased to keep the indoor air fresh. When the average per capita area is greater than this threshold, the cooling power is appropriately reduced, the temperature is set between 26°C and 28°C, and the ventilation volume is reduced to save energy.

[0083] When adjusting according to the orientation of the room type, for south-facing rooms, during the direct sunlight period in summer, additional cooling capacity is increased to lower the indoor temperature by 1°C - 2°C; in winter, the heating power is reduced to avoid excessive indoor temperature. For north-facing rooms, the opposite strategy is adopted;

[0084] According to weather conditions, such as in high-temperature weather, the cooling capacity is appropriately increased; in low-temperature weather, the heating capacity is increased. At the same time, considering the floor factor, the top-floor rooms are easily affected by direct sunlight and heat dissipation from the top floor in summer, and the cooling power is appropriately increased; in winter, the heating power is adjusted according to the weather conditions, the heating power is reduced on sunny days, and the heating power is appropriately increased on rainy or snowy days. The low-floor rooms are relatively cool in summer, and the cooling power can be appropriately reduced; in winter, the heating power is increased according to the actual situation.

[0085] S4: Time-related energy saving: Combining the commuting time, preheat or precool before going to work, reduce energy supply before getting off work, and turn off after getting off work; optimize the energy supply time using power information, and adjust the energy supply according to the entry and exit of people and vehicles;

[0086] According to the obtained commuting time information of the tenants, start preheating or precooling 1 - 2 hours before going to work. By monitoring the outdoor temperature and the current indoor temperature, and combining the insulation performance of the room and the comfort requirements of the people, automatically adjust the operation mode and power of the air conditioner. 30 minutes - 1 hour before getting off work, gradually reduce the energy supply to avoid energy waste. After getting off work, turn off the air-conditioning system in time;

[0087] Optimize the energy supply time using power information. By analyzing the change trend of power data, such as a sudden increase or decrease in power consumption, judge the personnel flow situation of the tenants. When it is found that there is an abnormal fluctuation in power consumption during non-working hours, an alarm is issued in time for the management staff to check and handle. At the same time, dynamically adjust the energy supply time according to the change of power data to improve the energy utilization efficiency;

[0088] Adjust the energy supply according to the entry and exit of people and vehicles. When the vehicle identification system detects that the tenant's vehicle enters the park and the personnel identification system confirms that the relevant personnel are about to arrive at the office area, start the air-conditioning system in advance for preheating or precooling. When the personnel leave the office area, adjust the air-conditioning energy supply in time to reduce energy consumption.

[0089] S5: Auxiliary optimization operation: The floor recommendation module recommends the floor distribution according to the commuting time for energy-saving control; the tenant logs in, controls, and gives feedback through the operation system module. The system also has functions such as automatic control switches and operation duration limits. When manual adjustment is required, the automatic control switch can be used to select manual adjustment;

[0090] The floor recommendation module collects and analyzes the commuting time data of a large number of tenants, and combines the building structure and functional layout of the park to provide scientific floor distribution suggestions for the park management. For example, tenants with similar commuting times are arranged on the same floor to enable centralized energy supply regulation during the same time period and reduce energy waste. At the same time, considering the industry characteristics and personnel activity patterns of different tenants, the floor distribution is further optimized to improve energy utilization efficiency;

[0091] Tenants log in to the system through the operating system module. The system adopts multiple authentication methods such as passwords, fingerprints, and facial recognition to ensure the security of the login. After logging in, tenants can intuitively see the apartment layout of the room and the positions of each air outlet on the control interface, and flexibly adjust the operating mode, temperature, air volume, angle, etc. of the air conditioner through the control buttons;

[0092] The system sets an automatic control switch, and tenants can choose to turn on or off the automatic regulation function according to their own needs. When the automatic regulation function is turned on, the system performs intelligent regulation according to the preset rules and real-time data; when the automatic regulation function is turned off, tenants can manually operate the air conditioner. At the same time, the system sets an operation duration limit function to prevent energy waste caused by tenants' long-term manual operation. During use, tenants can submit opinions and suggestions on the operation of the air conditioner through the feedback function. After the system collects this feedback information, it analyzes and processes it to continuously optimize the regulation strategy and system function.

Claims

1. A central air-conditioning energy-saving control system for analyzing indoor operation status, characterized in that, It includes a multi-source information acquisition module, a personnel identification module, a data calculation module, and an energy supply regulation module; Multi-source information acquisition module: Interacts with the intelligent park management system and is responsible for obtaining the area information of park tenants and the recorded number of employees in the intelligent park management system; Personnel identification module: Interacts with cameras in the intelligent park with the help of the multi-source information acquisition module; The personnel identification module includes an image acquisition unit and an image analysis unit; The image acquisition unit is used to collect personnel image information within the coverage area of the camera; The image analysis unit is used to process and analyze the collected images, and accurately determine the actual number of personnel in each household by identifying the facial features, body contours, and movement trajectories of personnel; Data calculation module: Calculate the occupied area per capita on record based on the area of park tenants and the recorded number of employees; At the same time, calculate the estimated occupied area per capita according to the area of park tenants and the actual number of people identified by the personnel identification module; On this basis, the data calculation module calculates the average occupied area per capita through the occupied area per capita on record and the estimated occupied area per capita; Energy supply regulation module: According to the average occupied area per capita obtained by the data calculation module, combined with environmental factors in different seasons, accurately regulate the energy supply of each tenant; The multi-source information acquisition module also includes obtaining the commuting times of tenant companies recorded in the intelligent park management system, and preheating or precooling the rooms rented by tenants in advance according to the commuting times of tenants and the outdoor temperature; And reduce the energy supply in advance before the tenants get off work, completely turn off the energy supply after work, and when all the tenants on the entire floor have left work, the system directly cuts off the energy supply for the entire floor of tenants; The regulation is as follows: In summer, the temperature rises quickly in an environment with a small area or a large number of people, and the system increases the energy supply. In an environment with a large area or a small number of people, the indoor temperature rises more slowly, and the system reduces the energy supply; In winter, when the average occupied area per capita is small, the system reduces the energy supply, and when the average occupied area per capita is large, the system increases the energy supply; In addition, intelligent adjustment is carried out in combination with the orientation of the tenant's house type, the weather conditions of the day, and the floor information; It also includes a floor recommendation module; The floor recommendation module puts forward reasonable suggestions on the floor distribution of tenants by comparing the commuting times of tenants updated in real time in the system, so as to prompt tenants with similar commuting times to be concentrated on the same floor.

2. The central air-conditioning energy-saving regulation system for indoor operation state analysis according to claim 1, characterized in that The multi-source information acquisition module also includes obtaining the power system information in the intelligent park management system, and judging the specific commuting times of tenants by analyzing the power system information, and comparing it with the commuting times recorded in the intelligent park management system.

3. The central air-conditioning energy-saving regulation system for analyzing indoor operation status according to claim 2, wherein, The multi-source information acquisition module also includes obtaining vehicle identification information in the intelligent park management system; By identifying the corresponding license plate number, combining the personnel information identified by the personnel identification module and the personnel information in the intelligent park management system, accurately identify the vehicles and personnel entering or leaving the park, and determine their corresponding tenants through data comparison; According to the identification results, carry out operations such as advancing the energy supply, reducing the energy supply, or stopping the energy supply in advance, and collect commuting time data at the same time.

4. The central air-conditioning energy-saving control system for indoor operation state analysis according to claim 1, wherein, It also includes an operating system module; the operating system module is used for comprehensively controlling and displaying the status of the central air conditioners in the entire smart park, and specifically includes a login unit, a verification unit, a control unit, and a recording unit; Login unit: Responsible for tenant registration and login account, modifying the resident login account and password, and the tenant logging in to the system through the account password for operation; Verification unit: By verifying the relevant information of the login person, accurately determine the specific location of the rental place of the login person; Control unit: After the verification unit completes the information verification, the control unit will display the floor plan of the rental place of the login person, mark the positions of multiple air outlets at the same time, and be equipped with corresponding control buttons; Recording unit: Responsible for recording the control data of the control unit and feeding these data back to the energy-saving control system for optimizing and adjusting the system.

5. The central air-conditioning energy-saving control system for analyzing indoor operation status according to claim 4, characterized in that, The operating system module also includes an automatic adjustment opening and closing unit; the automatic adjustment opening and closing unit is used to close or open the automatic control authority of the energy-saving control system for the central air conditioner in the tenant area.

6. The central air-conditioning energy-saving control system for indoor operation state analysis according to claim 5, characterized in that, The operating system module also includes a duration limit unit; the duration limit module is used to limit the manual operation duration of the tenant after the tenant uses the adjustment knob to control or closes the automatic control through the automatic adjustment opening and closing unit; after the duration reaches the set value, it automatically switches to the automatic control mode of the energy-saving control system.

7. An energy-saving control system for central air conditioning for analyzing indoor operation status according to claim 6, characterized in that, The operating system module also includes a feedback unit; the feedback unit is used for the tenant to submit feedback opinions on the use of the central air conditioner energy-saving control system.

8. A central air-conditioning energy-saving control method for indoor operation state analysis, applicable to the central air-conditioning energy-saving control system according to any one of the above claims 1-7, characterized in that, It includes the following steps: S1: Information collection: The multi-information acquisition module obtains tenant area, number of employees, commuting time, power and vehicle identification information from the smart park management system; the personnel identification module links the camera to collect personnel image information; S2: Data processing and calculation: The image analysis unit processes the image to identify the number of personnel and the affiliated tenant; the data calculation module calculates the occupied area per capita on record, the estimated occupied area per capita, and the average occupied area per capita based on the relevant data; S3: Energy supply regulation: The energy supply regulation module intelligently regulates the energy supply of each tenant according to factors such as average per capita occupied area, season, house type orientation, weather, and floor; S4: Time-related energy saving: Combining the commuting time, preheating or precooling before work, reducing the energy supply before getting off work, and turning off after getting off work; optimizing the energy supply time using power information and adjusting the energy supply according to the entry and exit of personnel and vehicles; S5: Auxiliary optimization operation: The floor recommendation module recommends the floor distribution according to the commuting time for energy-saving control; the tenant logs in, controls, and gives feedback through the operating system module, and the system also has functions such as automatic control switch and operation duration limit. When manual adjustment is required, manual adjustment can be selected through the automatic control switch.

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