Central air conditioner energy-saving regulation and control method and system for indoor operation state analysis

Abstract

The invention belongs to the technical field of air conditioner regulation and control, and particularly relates to a central air conditioner energy-saving regulation and control method and system for indoor operation state analysis. Comprising a multivariate information acquisition module, a personnel identification module, a data calculation module, an energy supply regulation and control module, a floor recommendation module and an operation system module. Multi-source data of the smart park are fused, the per capita occupied area is accurately calculated, and energy supply is intelligently regulated and controlled according to seasons, house types and weather. Dynamic adjustment before and after work is carried out, and optimization is combined with personnel and vehicle access changes. The energy consumption is greatly reduced, the cost is saved, the comfort level of personnel is improved, the park data is integrated to improve the intelligent management level, and multiple optimization of energy conservation, comfort and management is achieved.

Description

Technical Field

[0001] The invention belongs to the technical field of air conditioning control, and in particular to a central air conditioning energy-saving control method and system for analyzing indoor operating status. Background Art

[0002] In modern commercial and office environments, central air-conditioning systems are widely used in various types of buildings, especially office buildings and office spaces in smart parks. However, the current central air-conditioning systems face many problems that need to be solved during operation, which seriously affects energy 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 actual number of people in the room, the space area, and the dynamic changes in environmental factors; for example, in some office areas, although the number of employees has been greatly reduced due to off-get off work, business trips, etc., the air conditioner continues to operate at the established 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 the enterprise, but also runs counter to the concept of energy conservation and emission reduction advocated globally.

[0004] In terms of personnel comfort, the existing control system can hardly meet diverse needs; indoor people's perception of temperature, humidity and air quality varies in different seasons and time periods; in summer, in a small space with dense population, if the air conditioning cooling capacity is insufficient, it will cause indoor stuffiness and affect people's work efficiency; in areas with larger areas and sparse population, excessive cooling will make people feel cold and uncomfortable; the same is true in winter, in rooms with a smaller average per capita occupancy area, if the air conditioning overheats, the indoor air will make people feel dry, causing discomfort and wasting energy; in a large space with fewer people, insufficient heating cannot ensure indoor warmth.

[0005] To sum up, it is urgent to develop a central air-conditioning energy-saving control system that can comprehensively consider multiple factors, achieve precise energy-saving control and improve personnel comfort. Summary of the invention

[0006] In order 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 indoor operation status analysis, including a multi-information acquisition module, a personnel identification module, a data calculation module and an energy supply control module; The multi-information acquisition module: interacts with the smart park management system and is responsible for acquiring the area information of the park tenants and the number of employees entered in the smart park management system; The personnel identification module: the multi-information acquisition module is linked with the camera in the smart park; the personnel identification module includes an image acquisition unit and an image analysis unit; the image acquisition unit is used to collect image information of personnel in the camera coverage area; 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; 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, the estimated per capita occupied area is calculated 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; The energy supply control module: accurately controls the energy supply of each tenant according to the average per capita occupied area obtained by the data calculation module and combined with environmental factors in different seasons.

[0007] Furthermore, the multi-information acquisition module also includes obtaining the tenant's company work and rest time entered into the smart park management system, and preheating or precooling the tenant's rented room in advance based on the tenant's get off work and rest time and the outdoor temperature.

[0008] Furthermore, the multi-information acquisition module also includes acquiring power system information in the smart park management system, determining the specific time of the tenants' get off work and commuting time by analyzing the power system information, and comparing it with the work and commuting time recorded in the smart park management system.

[0009] Furthermore, the multi-information acquisition module also includes acquiring vehicle identification information in the smart park management system; by identifying the corresponding license plate number, combined with the personnel information identified by the personnel identification module and the personnel information in the smart park management system, the vehicles and personnel entering or leaving the park are accurately identified, and their tenants are determined through data comparison; according to the identification results, energy supply is provided in advance, energy supply is reduced, or energy supply is stopped, and data on commuting time is collected at the same time.

[0010] Furthermore, it also includes a floor recommendation module; the floor recommendation module makes reasonable suggestions on the floor distribution of tenants by comparing the tenants' working and leaving times updated in real time in the system, so as to encourage tenants with similar working and leaving times to gather on the same floor.

[0011] Furthermore, it also includes an operating system module; the operating system module is used to comprehensively control and display the status of the central air-conditioning of the entire smart park, and specifically includes a login unit, a verification unit, a control unit and a recording unit.

[0012] The login unit is responsible for registering a tenant login account, modifying the tenant login account and password, and enabling the tenant to log in to the system using the account and password; The verification unit: by verifying the relevant information of the log-in user, accurately determines the specific location of the log-in user's rental; The control unit: After the verification unit completes the information verification, the control unit will display the floor plan of the registrant's rental place, mark the locations of multiple air outlets, and equip them with corresponding control buttons; the tenant can use these control buttons to flexibly control the operating modes of different air outlets, such as cooling, heating, ventilation, humidification, air volume, temperature, angle, etc.

[0013] The recording unit is responsible for recording the control data of the control unit and feeding back the data to the energy-saving control system so as to optimize and adjust the system; when the tenant is not satisfied with the energy supply automatically controlled by the control system, the tenant can log in to the operating system module through the account and password.

[0014] Furthermore, 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 energy-saving control system's automatic control authority over the central air-conditioning in the tenant.

[0015] Furthermore, the operating system module also includes a time limit unit; the time limit module is used to limit the tenant's manual operation time after the tenant uses the adjustment knob control or turns off the automatic control through the automatic adjustment opening and closing unit; after the time reaches the set value, it automatically switches to the automatic control mode of the energy-saving control system.

[0016] Furthermore, the operating system module also includes a feedback unit; the feedback unit is used for tenants to submit feedback on the use of the central air-conditioning energy-saving control system.

[0017] A central air conditioning energy-saving control method for indoor operation status analysis comprises the following steps: 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; S2: Data processing and calculation: The image analysis unit processes the image and identifies the number of people and the tenants they belong to; the data calculation module calculates the registered per capita occupied area, the estimated per capita occupied area and the average per capita occupied area based on the relevant data; S3: Energy supply control: The energy supply control module intelligently controls the energy supply of each tenant based on the average per capita occupied area, season, room orientation, weather and floor factors; S4: Time-related energy saving: Combined with the working hours, preheat or precool before work, reduce energy supply before get off work, and shut down after get off work; use power information to optimize energy supply time and adjust energy supply according to the entry and exit of personnel and vehicles; S5: Auxiliary optimization operation: The floor recommendation module recommends floor distribution according to commuting time for energy saving and regulation; tenants log in, control and provide feedback through the operating system module. The system also has automatic control switch and operation time limit function. When manual adjustment is required, manual adjustment can be selected through the automatic control switch.

[0018] The beneficial effects of the present invention are as follows: 1. The energy-saving control method and system of central air-conditioning for indoor operation status analysis described in the present invention can accurately collect multiple information such as tenant area, number of employees, real-time number of personnel, etc., accurately calculate the per capita occupied area, and intelligently control the energy supply based on factors such as season, room type, and weather. Time-related energy-saving measures such as preheating or precooling before work, reducing energy supply before leaving get off work, and shutting down after get off work can be used to avoid ineffective energy supply. At the same time, dynamic adjustments can be made according to the entry and exit of personnel and vehicles to reduce energy loss. Compared with traditional control methods, it is expected to significantly reduce air-conditioning energy consumption and effectively save energy costs.

[0019] 2. The energy-saving control method and system for central air conditioning based on indoor operation status analysis described in the present invention fully considers the relationship between the number of people and space. In summer, cooling is enhanced and ventilation is increased in small areas or areas with many people, while cooling is reduced in large areas or areas with few people. The opposite is true in winter. The room orientation, floor and weather are also combined for adjustment. For example, energy supply is increased in summer and reduced in winter for south-facing residents. Tenants can also manually adjust through the operating system to meet personalized needs and comprehensively improve the comfort of personnel in different seasons and environments.

[0020] 3. The energy-saving control method and system for central air conditioning for indoor operation status analysis described in the present invention deeply integrates the multi-information acquisition module with the smart park management system, integrates data such as cameras, vehicle identification, and power systems, and realizes information sharing and collaboration; the floor recommendation module optimizes the floor distribution of tenants according to commuting times and improves the energy supply efficiency of public areas; the operating system module records operation data feedback and optimizes, improves the level of intelligent management of the park, and provides strong support for the efficient operation of the park. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The present invention will be further described below in conjunction with the accompanying drawings.

[0022] Figure 1 It is a block diagram of the central air-conditioning energy-saving control system of the present invention; Figure 2 It is a flow chart of the central air-conditioning energy-saving control method of the present invention. DETAILED DESCRIPTION

[0023] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0024] Embodiment 1:

[0025] like Figure 1 As shown, the present invention proposes a central air-conditioning energy-saving control system for indoor operation status analysis, including a multi-information acquisition module, a personnel identification module, a data calculation module and an energy supply control module; The multi-information acquisition module: interacts with the smart park management system and is responsible for acquiring the area information of the park tenants and the number of employees entered in the smart park management system; The personnel identification module: is linked with the camera in the smart park by means of the multi-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 image information of personnel in the camera coverage area; 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.

[0026] 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.

[0027] 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.

[0028] 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 .

[0029] The energy supply control module: accurately controls the energy supply of each tenant according to the average per capita occupied area obtained by the data calculation module and combined with environmental factors in different seasons.

[0030] The specific control rules are as follows: 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 deal with the problem of rapid temperature rise in environments with small areas or large numbers of people. Higher energy supply can quickly reduce indoor temperature and improve the comfort of personnel, while increasing internal ventilation efficiency and ensuring air quality. Conversely, the larger the average per capita occupied area, the lower the energy supply and the correspondingly reduced cooling effect. Because in the case of large areas or small numbers of people, the indoor temperature rises slowly, reducing energy supply can not only save air conditioning energy consumption, but also reduce air ventilation efficiency, further reducing energy consumption.

[0031] In winter, the smaller the average per capita occupied area, the more heat people exhale, and the better the indoor temperature is maintained. At this time, the energy supply is reduced and the heating effect is weakened, which helps prevent the indoor temperature from being too high and improve the comfort of people. At the same time, it further increases the internal ventilation efficiency and improves the freshness of the air. The larger the average per capita occupied area, the fewer people will exhale less heat. By increasing the energy supply, the indoor temperature will be increased, the human comfort will be improved, and the internal ventilation efficiency will be reduced, and energy consumption will be reduced while ensuring the freshness of the air. In addition, the above-mentioned control rules will also be adjusted intelligently in combination with the orientation of the tenant's room type and the weather conditions of the day. For example, residents facing south will appropriately increase the energy supply in summer and reduce it in winter; residents facing north will reduce the energy supply in summer and increase it in winter. At the same time, adjustments can also be made based on floor information. Residents on the top floor will increase the energy supply in summer, reduce the energy supply on sunny days in winter, and increase the energy supply on rainy and snowy days in winter; residents on low floors will reduce the energy supply in summer and increase it in winter.

[0032] The multi-information acquisition module also includes obtaining the tenant's company work and rest time entered in the smart park management system, and preheating or precooling the tenant's rented room in advance based on the tenant's work and rest time and the outdoor temperature; This method can not only effectively improve the comfort of tenants, but also reduce energy supply in advance before tenants get off work, and completely shut down energy supply after get off work, thereby significantly reducing energy consumption. When all tenants on the entire floor have left work, the system can directly cut off the energy supply for the entire floor, further achieving energy saving.

[0033] The multi-information acquisition module also includes acquiring power system information in the smart park management system, determining the specific time of tenants going to and from get off work by analyzing the power system information, and comparing it with the time of going to and from get off work recorded in the smart park management system.

[0034] Specifically, when the power system shows a gentle increase in the electricity consumption of the corresponding tenants during the non-nighttime period of the day, it means that the corresponding tenants have entered the work; when the power system enters the gentle increase stage at night, it means that the corresponding tenants have all left work. By continuously monitoring the data changes of the power system, the tenants' working hours and off-duty times can be determined in real time. By comparing a large amount of data, the average working hours and off-duty times can be obtained, and then the actual working hours entered in the system can be adjusted, the advance energy supply time can be optimized, and the timeliness and accuracy of the control system can be further improved.

[0035] The multi-information acquisition module also includes obtaining vehicle identification information in the smart park management system; by identifying the corresponding license plate number, combined with the personnel information identified by the personnel identification module and the personnel information in the smart park management system, the vehicles and personnel entering or leaving the park are accurately identified, and their tenants are determined through data comparison; according to the identification results, energy supply is provided in advance, energy supply is reduced, or energy supply is stopped, and data on commuting time is collected at the same time.

[0036] The specific process is as follows: when a tenant vehicle enters the park, the vehicle license plate information is collected, the location of the tenant where the vehicle is located is identified through information comparison, and it is marked as the working time of the personnel, and the energy supply is started in advance. When the person entering the park is collected, the facial information is collected at the entrance of the park, and the location of the tenant where the person is entering is determined by combining the facial information, body feature information, and action feature information of the person recorded by the personnel recognition module, and the energy supply is started again in advance, and the working hours are recorded. After identifying the vehicle or person entering the park, 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 the vehicle or person is identified to leave the park, 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 identifies a non-park vehicle, the personnel recognition module is used to determine whether it is a previously recorded person in the park. If not, the movement trajectory of the person is tracked in real time through the personnel recognition module. When the person enters a 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 person. By adjusting the average per capita occupied area in real time to adjust the energy supply intensity, we can not only ensure the comfort of personnel, but also further reduce the energy consumption of central air conditioning. At the same time, we can adjust the working hours of personnel in real time, optimize the specific energy supply power and time, and achieve the maximum energy saving under the premise of ensuring the comfort of personnel.

[0037] Embodiment 2:

[0038] like Figure 1As shown, a central air-conditioning energy-saving control system for indoor operation status analysis also includes a floor recommendation module; the floor recommendation module makes reasonable suggestions on the floor distribution of tenants by comparing the tenants' working and leaving times updated in real time in the system, so as to encourage tenants with similar working and leaving times to gather on the same floor.

[0039] The specific operation method is as follows: the floor recommendation module collects tenants' working and commuting times in real time, screens out tenants with stable and similar working and commuting times, and issues recommendations to them to move into the same floor. When the tenant agrees to the recommendation, the system can supply energy at low power in advance before the similar working hours, and perform pre-cooling or pre-heating operations, effectively avoiding the need for tenants on the same floor who have early working hours to supply energy to the public areas of the entire floor too early. Before the similar off-get off work time, the system appropriately reduces the power supply operation to avoid the need for tenants on the same floor who have late off-get off work times to stop supplying energy to the public areas of the entire floor later, thereby reducing the energy waste caused by only a small number of tenants using the public areas, and further improving the energy-saving effect.

[0040] Embodiment 3:

[0041] like Figure 1 As shown, a central air-conditioning energy-saving control system for indoor operation status analysis also includes an operating system module; the operating system module is used to comprehensively control and display the status of the central air-conditioning of the entire smart park, and specifically includes a login unit, a verification unit, a control unit and a recording unit.

[0042] The login unit is responsible for registering a tenant login account, modifying the tenant login account and password, and enabling the tenant to log in to the system using the account and password; The verification unit verifies the relevant information of the registrant and accurately determines the specific location of the registrant's rental.

[0043] The control unit: After the verification unit completes the information verification, the control unit will display the floor plan of the registrant's rental place, mark the locations of multiple air outlets, and equip them with corresponding control buttons; the tenant can use these control buttons to flexibly control the operating modes of different air outlets, such as cooling, heating, ventilation, humidification, air volume, temperature, angle, etc.

[0044] The recording unit is responsible for recording the control data of the control unit and feeding back the data to the energy-saving control system so as to optimize and adjust the system.

[0045] When the tenant is not satisfied with the energy supply automatically controlled by the control system, he can log in to the operating system module with his account and password. After verification by the verification unit, enter the control interface. The interface will display the tenant's floor plan and the location of the air outlet, and each air outlet is equipped with a control button. After clicking the control button, the tenant can adjust the operating 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 in the room at the moment. Through multiple data comparisons and screenings, based on artificial intelligence learning algorithms, the system can record the tenant's usage habit data, and adaptively adjust the energy-saving control system based on these data, thereby improving the user experience and making the system more in line with the tenant's actual usage habits.

[0046] 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 energy-saving control system's automatic control authority over the central air conditioner in the tenant.

[0047] When tenants are not used to or satisfied with the automatic control of the central air conditioner in the tenant's room by the energy-saving control system, the automatic control function can be turned off through the unit, and the operation of the central air conditioner in the tenant's room can be completely manually controlled by the personnel. This method not only improves the user experience, but also allows tenants to control multiple indoor air outlets in real time through the detailed information displayed on the interface, which is convenient and fast to operate. In addition, the system can clearly display the apartment type and the location of the air outlet, making the adjustment process more intuitive and convenient.

[0048] The operating system module also includes a time limit unit; the time limit module is used to limit the tenant's manual operation time after the tenant uses the adjustment knob control or turns off the automatic control through the automatic adjustment opening and closing unit; after the time reaches the set value, it automatically switches to the automatic control mode of the energy-saving control system.

[0049] After the tenant turns off the automatic control of the energy-saving control system through the automatic control opening and closing unit, the tenant can enter the manual adjustment limit time through the time limit unit, ranging from the shortest 1 minute to the longest permanent limit. After adjusting through the control knob, the manual adjustment limit time can also be entered through the time limit unit. This design makes the operation more convenient and effectively improves the adaptability of the central air-conditioning energy-saving control system.

[0050] Embodiment 4:

[0051] like Figure 1 As shown, a central air-conditioning energy-saving control system for indoor operation status analysis, the operating system module also includes a feedback unit; the feedback unit is used for tenants to submit feedback on the use of the central air-conditioning energy-saving control system.

[0052] 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.

[0053] Embodiment 5:

[0054] like Figure 2 As shown, a central air conditioning energy-saving control method for indoor operation status analysis includes the following steps: 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; 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; 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; 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.

[0055] S2: Data processing and calculation: The image analysis unit processes the image and identifies the number of people and the tenants they belong to; the data calculation module calculates the registered per capita occupied area, the estimated per capita occupied area and the average per capita occupied area based on the relevant data; After receiving the collected image, the image analysis unit first performs multiple rounds of preprocessing. A combination of Gaussian filtering and median filtering is used to remove image noise and enhance image clarity and stability. The image is enhanced through histogram equalization technology to highlight the outline and detail features of the person. The color image is converted into a grayscale image to simplify the amount of data for subsequent processing without affecting the extraction of key features. Use advanced deep learning target detection algorithms, such as the optimized and trained YOLOv8 or the improved Faster-RCNN model, to detect human targets in preprocessed images. During the detection process, the model parameters are continuously adjusted to improve the detection accuracy and recall rate. By analyzing the position changes of human joints and the movement trajectory of limbs, combined with the pre-trained action recognition model, the number of people in the image can be accurately identified. At the same time, the camera number and the movement trajectory of the person are combined with the building layout and tenant distribution information of the park to accurately determine the tenant to which the person belongs; After obtaining data such as tenant area, number of employees, and actual number of people, the data calculation module conducts multiple cross-validations. When calculating the average occupied area per person on record, the difference in space utilization efficiency between different floors and different areas is taken into account, and a correction factor is introduced for adjustment. When calculating the estimated average occupied area per person, the actual number of people is dynamically weighted in combination with the activity patterns and time factors of the personnel. Finally, the average average occupied area per person is calculated through a scientific algorithm to ensure the accuracy and reliability of the data.

[0056] S3: Energy supply control: The energy supply control module intelligently controls the energy supply of each tenant based on the average per capita occupied area, season, room orientation, weather and floor factors; The energy supply control module formulates different control strategies based on the calculated average per capita occupied area and seasonal changes. In summer, when the average per capita occupied 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℃-26℃, and the ventilation volume is increased to keep the indoor air fresh. When the average per capita occupied area is greater than the threshold, the cooling power is appropriately reduced, the temperature is set between 26℃-28℃, and the ventilation volume is reduced to save energy; When adjusting the room orientation, for rooms facing south, additional cooling capacity is added during the summer when the sun is directly shining, reducing the indoor temperature by 1°C-2°C; in winter, heating power is reduced to avoid excessively high indoor temperatures. For rooms facing north, the opposite strategy is adopted; According to weather conditions, for example, in hot weather, the cooling capacity can be appropriately increased; in cold weather, the heating capacity can be increased. At the same time, considering the floor factor, the top floor rooms are easily affected by direct sunlight and top floor heat dissipation in summer, so the cooling power can be appropriately increased; in winter, the heating power can be adjusted according to weather conditions, reducing the heating power on sunny days and increasing the heating power on rainy and snowy days. The rooms on the lower floors are relatively cool in summer, so the cooling power can be appropriately reduced; in winter, the heating power can be increased according to actual conditions.

[0057] S4: Time-related energy saving: Combined with the working hours, preheat or precool before work, reduce energy supply before get off work, and shut down after get off work; use power information to optimize energy supply time and adjust energy supply according to the entry and exit of personnel and vehicles; Based on the tenants' work and leave information, preheating or precooling starts 1-2 hours before work. By monitoring the outdoor temperature and the current indoor temperature, the air conditioner's operating mode and power are automatically adjusted based on the room's insulation performance and the comfort requirements of the personnel. Gradually reduce the energy supply 30 minutes to 1 hour before leaving get off work to avoid energy waste. After get off work, turn off the air conditioning system in time; Use power information to optimize power supply time. By analyzing the changing trend of power data, such as a sudden increase or decrease in power consumption, the turnover of tenants can be determined. When abnormal fluctuations in power consumption are found during non-working hours, an alarm is issued in time so that management personnel can check and handle the situation. At the same time, according to the changes in power data, the power supply time is dynamically adjusted to improve energy utilization efficiency; Adjust the energy supply according to the entry and exit of personnel and vehicles. When the vehicle identification system detects that the tenant's vehicle has entered the park, and the personnel identification system confirms that the relevant personnel are about to arrive at the office area, the air conditioning system is started in advance for preheating or precooling. When the personnel leave the office area, the air conditioning power supply is adjusted in time to reduce energy consumption.

[0058] S5: Auxiliary optimization operation: The floor recommendation module recommends floor distribution according to the working hours to achieve energy-saving control; tenants log in, control and provide feedback through the operating system module. The system also has automatic control switches and operation time limit functions. When manual adjustment is required, manual adjustment can be selected through the automatic control switch; The floor recommendation module collects and analyzes a large amount of tenants' commuting time data, and provides scientific floor distribution recommendations to the park management based on the park's building structure and functional layout. For example, tenants with similar commuting times are arranged on the same floor so that centralized energy supply can be regulated in the same time period to 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 efficiency. Tenants log in to the system through the operating system module. The system uses multiple authentication methods, such as passwords, fingerprints, and facial recognition, to ensure the security of login. After logging in, tenants can intuitively see the room floor plan and the location of each air outlet on the control interface, and flexibly adjust the air conditioner's operating mode, temperature, air volume, angle, etc. through the control buttons; The system is set up with an automatic control switch, and tenants can choose to turn on or off the automatic control function according to their needs. When the automatic control function is turned on, the system performs intelligent control according to preset rules and real-time data; when the automatic control function is turned off, tenants can manually operate the air conditioner. At the same time, the system sets an operation time limit function to avoid energy waste caused by long-term manual operation by tenants. During use, tenants can submit opinions and suggestions on the operation of the air conditioner through the feedback function. After collecting these feedback information, the system analyzes and processes them to continuously optimize the control strategy and system functions.

Claims

1. A central air conditioning energy-saving control system for indoor operation status analysis, characterized in that: It includes a multi-information acquisition module, a personnel identification module, a data calculation module and an energy supply control module; The multi-information acquisition module: interacts with the smart park management system and is responsible for acquiring the area information of the park tenants and the number of employees entered in the smart park management system; The personnel identification module: the multi-information acquisition module is linked with the camera in the smart park; the personnel identification module includes an image acquisition unit and an image analysis unit; the image acquisition unit is used to collect image information of personnel in the camera coverage area; 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; 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, the estimated per capita occupied area is calculated 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; The energy supply control module: accurately controls the energy supply of each tenant according to the average per capita occupied area obtained by the data calculation module and combined with environmental factors in different seasons.

2. A central air-conditioning energy-saving control system for indoor operation status analysis according to claim 1, characterized in that: The multi-information acquisition module also includes obtaining the tenant's company work and rest time entered into the smart park management system, and preheating or precooling the tenant's rented room in advance based on the tenant's work and rest time and the outdoor temperature.

3. The central air-conditioning energy-saving control system for indoor operation status analysis according to claim 2 is characterized in that: The multi-information acquisition module also includes acquiring power system information in the smart park management system, determining the specific time of tenants going to and from get off work by analyzing the power system information, and comparing it with the time of going to and from get off work recorded in the smart park management system.

4. The central air-conditioning energy-saving control system for indoor operation status analysis according to claim 2 is characterized in that: The multi-information acquisition module also includes obtaining vehicle identification information in the smart park management system; by identifying the corresponding license plate number, combined with the personnel information identified by the personnel identification module and the personnel information in the smart park management system, the vehicles and personnel entering or leaving the park are accurately identified, and their tenants are determined through data comparison; according to the identification results, energy supply is provided in advance, energy supply is reduced, or energy supply is stopped, and data on commuting time is collected at the same time.

5. The central air-conditioning energy-saving control system for indoor operation status analysis according to claim 4 is characterized in that: It also includes a floor recommendation module; the floor recommendation module makes reasonable suggestions on the floor distribution of tenants by comparing the tenants' working and leaving times updated in real time in the system, so as to encourage tenants with similar working and leaving times to gather on the same floor.

6. The central air-conditioning energy-saving control system for indoor operation status analysis according to claim 1 is characterized in that: It also includes an operating system module; the operating system module is used to comprehensively control and display the status of the central air conditioner of the entire smart park, and specifically includes a login unit, a verification unit, a control unit and a recording unit; The login unit is responsible for registering a tenant login account, modifying the tenant login account and password, and enabling the tenant to log in to the system using the account and password; The verification unit: by verifying the relevant information of the log-in user, accurately determines the specific location of the log-in user's rental; The control unit: after the verification unit completes the information verification, the control unit will display the floor plan of the registrant's rental place, mark the locations of multiple air outlets, and be equipped with corresponding control buttons; The recording unit is responsible for recording the control data of the control unit and feeding back the data to the energy-saving control system so as to optimize and adjust the system.

7. A central air-conditioning energy-saving control system for indoor operation status analysis according to claim 6, 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 energy-saving control system's automatic control authority over the central air conditioner in the tenant.

8. The central air-conditioning energy-saving control system for indoor operation status analysis according to claim 7 is characterized in that: The operating system module also includes a time limit unit; the time limit module is used to limit the tenant's manual operation time after the tenant uses the adjustment knob control or turns off the automatic control through the automatic adjustment opening and closing unit; after the time reaches the set value, it automatically switches to the automatic control mode of the energy-saving control system.

9. The central air-conditioning energy-saving control system for indoor operation status analysis according to claim 8, characterized in that: The operating system module also includes a feedback unit; the feedback unit is used for tenants to submit feedback on the use of the central air-conditioning energy-saving control system.

10. A central air conditioning energy-saving control method for indoor operation status analysis, applicable to the central air conditioning energy-saving control system according to any one of claims 1 to 9, characterized in that: The steps include: 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; S2: Data processing and calculation: The image analysis unit processes the image and identifies the number of people and the tenants they belong to; the data calculation module calculates the registered per capita occupied area, the estimated per capita occupied area and the average per capita occupied area based on the relevant data; S3: Energy supply control: The energy supply control module intelligently controls the energy supply of each tenant based on the average per capita occupied area, season, room orientation, weather and floor factors; S4: Time-related energy saving: Combined with the working hours, preheat or precool before work, reduce energy supply before get off work, and shut down after get off work; use power information to optimize energy supply time and adjust energy supply according to the entry and exit of personnel and vehicles; S5: Auxiliary optimization operation: The floor recommendation module recommends floor distribution according to commuting time for energy saving and regulation; tenants log in, control and provide feedback through the operating system module. The system also has automatic control switch and operation time limit function. When manual adjustment is required, manual adjustment can be selected through the automatic control switch.

Images