AI-based heating ventilation air conditioner energy-saving control system and method

Abstract

The invention discloses an AI-based heating ventilation air conditioner energy-saving control system and method. The AI-based heating ventilation air conditioner energy-saving control system comprises an AI shooting unit, a data acquisition unit, a data transmission unit, a data storage unit, a data processing unit, an intelligent regulation and control unit and a remote monitoring unit, and the data acquisition unit is used for performing real-time acquisition on information data generated in an energy-saving control management process of the heating ventilation air conditioner, and belongs to the technical field of energy conservation of air conditioners. The data processing unit intelligently analyzes the collected data and intelligently regulates and controls the temperature and the wind speed of the heating ventilation air conditioner according to the analysis result, automation and refinement of energy-saving control are achieved, limitation of traditional manual operation is effectively avoided, the energy utilization rate is increased, and the purposes of energy conservation and emission reduction are achieved. And the remote monitoring unit can display data and analysis results in real time and give an alarm in time in case of an abnormal condition, so that a manager can take measures in time, and stable operation of the system is ensured.

Description

Technical Field

[0001] The present invention relates to the field of air conditioning energy-saving technology, and more specifically discloses an AI-based HVAC energy-saving control system and method. Background Art

[0002] At present, my country is in a critical period of profound transformation of economic structure and comprehensive upgrading of industrial structure. The acceleration of urbanization has led to the emergence of modern buildings, and people have put forward more diversified requirements for the functionality and comfort of buildings. While pursuing a warm, comfortable, safe and reliable indoor environment, the public's awareness of environmental protection is also increasing, and energy conservation, emission reduction and green living have become a social consensus. HVAC systems, as an indispensable part of modern buildings, their operating efficiency and energy consumption level are directly related to the overall energy consumption and carbon emissions of the building. Therefore, energy-saving optimization of HVAC systems and reducing unnecessary energy waste have become an urgent and important research direction in the field of building technology.

[0003] However, traditional HVAC systems often rely on manual switching and adjustment, which is not only inefficient but also difficult to achieve refined energy management. Due to the limitations of manual operation, it is difficult to adjust the operating status of the air conditioner in real time according to indoor environmental changes and indoor personnel activities, resulting in low energy utilization and unable to meet the urgent needs of modern society for energy conservation and environmental protection. Summary of the invention

[0004] Purpose of the invention: The purpose of the present invention is to solve the problem that traditional HVAC systems often rely on manual switching and adjustment, which is not only inefficient but also difficult to achieve refined energy management. Due to the limitations of manual operation, it is difficult to adjust the operating state of the air conditioner in real time according to the changes in the indoor environment and the activities of indoor personnel, resulting in low energy utilization and failure to meet the urgent needs of modern society for energy conservation and environmental protection.

[0005] To solve the above technical problems, according to one aspect of the present invention, more specifically, an AI-based HVAC energy-saving control system includes: an AI shooting unit, a data acquisition unit, a data transmission unit, a data storage unit, a data processing unit, an intelligent control unit, and a remote monitoring unit; AI photography unit: used to take photos of people entering the building where the HVAC system is located; Data acquisition unit: used to collect real-time information data generated during the HVAC energy-saving control management process; Data transmission unit: used for real-time transmission of information data collected by the data collection unit; Data storage unit: used to store the information data transmitted in real time by the data transmission unit; Data processing unit: used to acquire and analyze the information data stored in the data storage unit, obtain the processing and analysis results, and then forward the obtained processing and analysis results to the remote monitoring unit, and at the same time issue control instructions to the intelligent control unit according to the processing and analysis results; Intelligent control unit: used to receive the control signal from the data processing unit, and control the operating temperature and air outlet speed of the HVAC equipment according to the control signal; Remote monitoring unit: used to display the information data stored in the data storage unit and the analysis results of the data processing unit in real time on the HVAC background control terminal. At the same time, when the results obtained by the data processing unit analysis are abnormal, an alarm is issued to the HVAC background control terminal.

[0006] Furthermore, the data acquisition unit includes: an image acquisition module, a light intensity acquisition module, a temperature acquisition module, a heart rate acquisition module and a heat acquisition module; Image acquisition module: used to collect real-time RGB value information data when the AI ​​shooting unit takes photos of people; Light intensity acquisition module: used to collect light intensity information data in real time when the AI ​​shooting unit takes photos of people; Temperature collection module: used to collect temperature information data of the building environment and personnel where the HVAC is located in real time; Heart rate collection module: used to collect heart rate information data of people in the building where the HVAC is located in real time; Heat collection module: used to collect real-time heat information data of people in the building where the HVAC is located.

[0007] Furthermore, the data processing unit includes: a data acquisition module, an analysis and judgment module, a result forwarding module and a signal sending module; Data acquisition module: used for real-time acquisition of information data stored in the data storage unit; Analysis and judgment module: used to process and analyze the information data obtained by the data acquisition module and obtain the results of analysis and judgment; Result forwarding module: used to forward the results of analysis processed by the analysis and judgment module to the remote monitoring unit; Signal sending module: used to send control command signals to the intelligent control unit according to the results of analysis and judgment when abnormal conditions are found in the results of analysis and judgment by the analysis and judgment module.

[0008] Furthermore, the intelligent control unit includes: a signal receiving module, a temperature control module and a wind speed control module; Signal receiving module: used to receive the control command signal sent by the signal sending module in real time; Temperature control module: used to adjust the temperature set by the HVAC during the HVAC energy-saving control process; Temperature control module: used to adjust the wind speed set by the HVAC during the HVAC energy-saving control process.

[0009] Furthermore, the remote monitoring unit includes: a data receiving module, a data display module and an abnormal alarm module; Data receiving module: used for receiving the information data stored in the data storage unit and the analysis result information of the data processing unit in real time; Data display module: used to display the information data received by the data receiving module on the HVAC background control terminal display screen; Abnormal alarm module: used to send an alarm to the HVAC background control terminal when the result obtained by the analysis and judgment module is abnormal.

[0010] Furthermore, the analysis and judgment module can obtain the RGB value of the photo taken by the person, the light intensity, the temperature of the person in the building where the HVAC is located, and the heart rate information data from the data acquisition module, and obtain the HVAC control index through the above acquired data analysis, if: This means that the temperature of the HVAC is appropriate and does not need to be adjusted. is the control index of HVAC, is the collection time of information data, For the The average RGB value of the face photo taken in seconds, is the standard RGB value of the preset face photo, For the The average light intensity of the face photos taken in seconds, The preset standard light intensity for photographing faces. is the total number of active personnel in the building where the HVAC is located, For buildings with HVAC, The body temperature of each participant, For The maximum body temperature of people in the building where the HVAC system is located during the time period. For The minimum body temperature of people in the building where the HVAC system is located during the time period. The preset most comfortable temperature for human perception. For buildings with HVAC, The efficiency of human activity personnel, is the preset lower limit of the human standard heart rate. is the upper limit of the preset human standard heart rate. It is the threshold parameter for preset HVAC control.

[0011] Furthermore, the analysis and judgment module can obtain the temperature of the internal environment of the building where the HVAC is located and the heat information data of the internal personnel from the data acquisition module, and analyze the above acquired data, and then adjust the temperature of the HVAC: in, It is the temperature set after the HVAC adjusts the temperature during the heating process. It is the temperature set after the HVAC is adjusted during the cooling process. is the collection time of information data, For buildings with HVAC, Seconds indoor ambient temperature, is the control index of HVAC, is the total number of active personnel in the building where the HVAC is located, For buildings with HVAC, The heat emitted by the body of each participant, is the specific heat capacity of air, is the air density, is the volume of the building where the HVAC is located, The temperature that the HVAC system is set to before temperature adjustment.

[0012] Furthermore, the analysis and judgment module can obtain the temperature information data of the internal environment of the building where the HVAC is located from the data acquisition module, and analyze the above acquired data, and then adjust the wind speed of the HVAC: in, The wind speed set after the HVAC is adjusted. is the collection time of information data, For buildings with HVAC, Seconds indoor ambient temperature, The temperature set after the HVAC is adjusted. The preset most comfortable temperature for human perception. is the total number of active personnel in the building where the HVAC is located, is the floor space of the building where the HVAC is located, is the standard density of pedestrian traffic in the preset building. The wind speed is set before the HVAC is adjusted. It is the control index of HVAC.

[0013] According to another aspect of the present invention, there is provided an AI-based HVAC energy-saving control method, which is implemented based on the above AI-based HVAC energy-saving control system and specifically includes the following steps: S1. Use the AI ​​shooting unit to take photos of people entering the building where the HVAC is located, and perform AI recognition on the physical parameters and shooting parameters of the people; S2. In the process of energy-saving control of HVAC, the image, light intensity, temperature, heart rate and heat information data of personnel are collected in real time through the data collection unit; S3, transmitting and storing the collected information data, and performing real-time analysis on the information data to obtain analysis results; S4. When the analysis result is abnormal, an alarm is sent to the background terminal, and a control command signal is issued according to the analysis result to control the temperature and wind speed of the HVAC.

[0014] The beneficial effects of the AI-based HVAC energy-saving control system and method of the present invention are as follows: through the cooperation of the AI ​​shooting unit and the data acquisition unit, comprehensive and real-time collection of physical parameters and environmental parameters of people entering the building is achieved, and the accuracy and comprehensiveness of data collection are improved. The data processing unit performs intelligent analysis on the collected data, and intelligently adjusts the temperature and wind speed of the HVAC according to the analysis results, realizing the automation and refinement of energy-saving control, effectively avoiding the limitations of traditional manual operations, improving energy utilization, and achieving the goal of energy conservation and emission reduction. The remote monitoring unit can display data and analysis results in real time, and issue alarms in time in abnormal situations, so that managers can take timely measures to ensure the stable operation of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The present invention is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0016] Figure 1 The schematic diagram of the system principle is shown in Figure 2. Figure 2 A schematic diagram of the method flow chart. DETAILED DESCRIPTION

[0017] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0018] According to one aspect of the present invention, Figure 1-2As shown, an AI-based HVAC energy-saving control system and method are provided. First, the AI ​​shooting unit is used to take photos of the personnel entering the building where the HVAC is located, and AI recognition is performed on the personnel's physical parameters and shooting parameters. Then, the image acquisition module, light intensity acquisition module, temperature acquisition module, heart rate acquisition module and heat acquisition module in the data acquisition unit are used to collect in real time the RGB value, light intensity, the building environment where the HVAC is located and the temperature of the personnel, the heart rate of the personnel in the building where the HVAC is located, and the heat information data when the AI ​​shooting unit takes the personnel photo.

[0019] Then, the collected data is transmitted to the data storage unit in real time through the data transmission unit, and then the information data is obtained from the data storage unit through the data acquisition module in the data processing unit. Further, the obtained information data is processed and analyzed through the analysis and judgment module.

[0020] Afterwards, when the analysis and judgment results of the analysis and judgment module show abnormal conditions, the abnormal alarm module will be triggered to alarm the HVAC background control terminal, and a control command signal will be sent to the intelligent control unit based on the analysis and judgment results to perform intelligent control of the HVAC.

[0021] The data receiving module in the remote monitoring unit can receive the information data stored in the data storage unit and the analysis results of the data processing unit in real time, and display the received information data on the HVAC background control terminal display screen through the data display module.

[0022] The analysis and judgment module can obtain the RGB value of the photo taken by the person, the light intensity, the temperature of the person in the building where the HVAC is located, and the heart rate information data from the data acquisition module, and analyze the above acquired data to obtain the HVAC control index. If: This means that the HVAC temperature is appropriate and no adjustment is required. , it means that the AI ​​shooting unit has a fault, which will trigger the abnormal alarm module to send an alarm to the background terminal, and then staff will be dispatched to repair the AI ​​shooting unit, and the HVAC does not need to be adjusted; if , it means that in the building where the HVAC is located, the complexion, body temperature and heart rate of the active personnel change greatly. The temperature of the HVAC is too high and the face turns red, or the cooling temperature is too low and the face turns pale. The temperature and air outlet speed of the HVAC need to be regulated, and then the abnormal alarm module will be triggered to send an alarm to the background terminal. At the same time, the temperature control module and the wind speed control module will be triggered to automatically regulate the temperature and air outlet speed of the HVAC. It should be noted that when the HVAC is heating and the temperature is too high, the current set temperature needs to be lowered. When the HVAC is cooling and the temperature is too low, the current set temperature needs to be increased. Among them, is the control index of HVAC, is the collection time of information data, For the The average RGB value of the face photo taken in seconds, is the standard RGB value of the preset face photo, For the The average light intensity of the face photos taken in seconds, The preset standard light intensity for photographing faces. is the total number of active personnel in the building where the HVAC is located, For buildings with HVAC, The body temperature of each participant, For The maximum body temperature of people in the building where the HVAC system is located during the time period. For The minimum body temperature of people in the building where the HVAC system is located during the time period. The preset most comfortable temperature for human perception. For buildings with HVAC, The efficiency of human activity personnel, is the preset lower limit of the human standard heart rate. is the upper limit of the preset human standard heart rate. is the preset threshold parameter for HVAC control. During data collection, the standard RGB value of the preset face photo , preset standard light intensity for photographing faces , , ,exist During the time period, the maximum and minimum body temperatures of people in the building where the HVAC system is located were: , , the total number of active people in the building where the HVAC is located , the preset most comfortable temperature perceived by the human body , , the preset lower and upper limits of the human standard heart rate are: , , , preset threshold parameters for HVAC control , therefore, , ,because , it means that the heating temperature of the HVAC is too high or the cooling temperature is too low, and the temperature and air speed of the HVAC need to be regulated.

[0023] 7. According to claim 6, an AI-based HVAC energy-saving control system is characterized in that: the analysis and judgment module can obtain the temperature of the internal environment of the building where the HVAC is located and the heat information data of the internal personnel from the data acquisition module, and analyze the above acquired data, and then adjust the temperature of the HVAC: in, It is the temperature set after the HVAC adjusts the temperature during the heating process. It is the temperature set after the HVAC is adjusted during the cooling process. is the collection time of information data, For buildings with HVAC, Seconds indoor ambient temperature, is the control index of HVAC, is the total number of active personnel in the building where the HVAC is located, For buildings with HVAC, The heat emitted by the body of each participant, is the specific heat capacity of air, is the air density, is the volume of the building where the HVAC is located, The temperature set by the HVAC before temperature adjustment. During the data collection process, the total number of active people in the building where the HVAC is located , , specific heat capacity of air , air density , the volume of the building where the HVAC is located , , during the heating process, the temperature set before the HVAC is adjusted , HVAC control index Therefore, during the heating process, the temperature set by the temperature control module after the HVAC temperature is adjusted .

[0024] 8. According to claim 7, an AI-based HVAC energy-saving control system is characterized in that: the analysis and judgment module can obtain temperature information data of the internal environment of the building where the HVAC is located from the data acquisition module, and analyze the data obtained above, and then adjust the wind speed of the HVAC: in, The wind speed set after the HVAC is adjusted. is the collection time of information data, For buildings with HVAC, Seconds indoor ambient temperature, The temperature set after the HVAC is adjusted. The preset most comfortable temperature for human perception. is the total number of active personnel in the building where the HVAC is located, is the floor space of the building where the HVAC is located, is the standard density of pedestrian traffic in the preset building. The wind speed is set before the HVAC is adjusted. is the control index of HVAC. During the data collection process, the total number of active personnel in the building where the HVAC is located , , the preset most comfortable temperature perceived by the human body During the heating process, the temperature set by the HVAC is , the floor space of the building where the HVAC is located , the wind speed set before the HVAC is adjusted , the standard density of pedestrian flow in the preset building , HVAC control index Therefore, the wind speed control module adjusts the wind speed of the HVAC to the set wind speed. .

[0025] The above-mentioned embodiment only expresses one implementation mode of the present invention, and its description is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached claims.

Claims

1. An AI-based HVAC energy-saving control system, characterized in that: include: AI shooting unit, data acquisition unit, data transmission unit, data storage unit, data processing unit, intelligent control unit and remote monitoring unit; AI photography unit: used to take photos of people entering the building where the HVAC system is located; Data acquisition unit: used to collect real-time information data generated during the HVAC energy-saving control management process; Data transmission unit: used for real-time transmission of information data collected by the data collection unit; Data storage unit: used to store the information data transmitted in real time by the data transmission unit; Data processing unit: used to acquire and analyze the information data stored in the data storage unit, obtain the processing and analysis results, and then forward the obtained processing and analysis results to the remote monitoring unit, and at the same time issue control instructions to the intelligent control unit according to the processing and analysis results; Intelligent control unit: used to receive the control signal from the data processing unit, and control the operating temperature and air outlet speed of the HVAC equipment according to the control signal; Remote monitoring unit: used to display the information data stored in the data storage unit and the analysis results of the data processing unit in real time on the HVAC background control terminal. At the same time, when the results obtained by the data processing unit analysis are abnormal, an alarm is issued to the HVAC background control terminal.

2. The AI-based HVAC energy-saving control system according to claim 1, characterized in that: The data acquisition unit includes: an image acquisition module, a light intensity acquisition module, a temperature acquisition module, a heart rate acquisition module and a heat acquisition module; Image acquisition module: used to collect real-time RGB value information data when the AI ​​shooting unit takes photos of people; Light intensity acquisition module: used to collect light intensity information data in real time when the AI ​​shooting unit takes photos of people; Temperature collection module: used to collect temperature information data of the building environment and personnel where the HVAC is located in real time; Heart rate collection module: used to collect heart rate information data of people in the building where the HVAC is located in real time; Heat collection module: used to collect real-time heat information data of people in the building where the HVAC is located.

3. The AI-based HVAC energy-saving control system according to claim 2, characterized in that: The data processing unit includes: a data acquisition module, an analysis and judgment module, a result forwarding module and a signal sending module; Data acquisition module: used for real-time acquisition of information data stored in the data storage unit; Analysis and judgment module: used to process and analyze the information data obtained by the data acquisition module and obtain the results of analysis and judgment; Result forwarding module: used to forward the results of analysis processed by the analysis and judgment module to the remote monitoring unit; Signal sending module: used to send control command signals to the intelligent control unit according to the results of analysis and judgment when abnormal conditions are found in the results of analysis and judgment by the analysis and judgment module.

4. The AI-based HVAC energy-saving control system according to claim 3, characterized in that: The intelligent control unit includes: a signal receiving module, a temperature control module and a wind speed control module; Signal receiving module: used to receive the control command signal sent by the signal sending module in real time; Temperature control module: used to adjust the temperature set by the HVAC during the HVAC energy-saving control process; Temperature control module: used to adjust the wind speed set by the HVAC during the HVAC energy-saving control process.

5. The AI-based HVAC energy-saving control system according to claim 4, characterized in that: The remote monitoring unit includes: a data receiving module, a data display module and an abnormal alarm module; Data receiving module: used for receiving the information data stored in the data storage unit and the analysis result information of the data processing unit in real time; Data display module: used to display the information data received by the data receiving module on the HVAC background control terminal display screen; Abnormal alarm module: used to send an alarm to the HVAC background control terminal when the result obtained by the analysis and judgment module is abnormal.

6. The AI-based HVAC energy-saving control system according to claim 5, characterized in that: The analysis and judgment module can obtain the RGB value of the photo of the person, the light intensity, the temperature of the person in the building where the HVAC is located, and the heart rate information data from the data acquisition module, and obtain the HVAC control index through the above acquired data analysis, if: This means that the temperature of the HVAC is appropriate and does not need to be adjusted. is the control index of HVAC, is the collection time of information data, For the The average RGB value of the face photo taken in seconds, is the standard RGB value of the preset face photo, For the The average light intensity of the face photos taken in seconds, The preset standard light intensity for photographing faces. is the total number of active personnel in the building where the HVAC is located, For buildings with HVAC, The body temperature of each participant, For The maximum body temperature of people in the building where the HVAC system is located during the time period. For The minimum body temperature of people in the building where the HVAC system is located during the time period. The preset most comfortable temperature for human perception. For buildings with HVAC, The efficiency of human activity personnel, is the preset lower limit of the human standard heart rate. is the upper limit of the preset human standard heart rate. It is the threshold parameter for preset HVAC control.

7. The AI-based HVAC energy-saving control system according to claim 6, characterized in that: The analysis and judgment module can obtain the temperature of the internal environment of the building where the HVAC is located and the heat information data of the internal personnel from the data acquisition module, and analyze the above acquired data, and then adjust the temperature of the HVAC: in, It is the temperature set after the HVAC adjusts the temperature during the heating process. It is the temperature set after the HVAC is adjusted during the cooling process. is the collection time of information data, For buildings with HVAC, Seconds indoor ambient temperature, is the control index of HVAC, is the total number of active personnel in the building where the HVAC is located, For buildings with HVAC, The heat emitted by the body of each participant, is the specific heat capacity of air, is the air density, is the volume of the building where the HVAC is located, The temperature that the HVAC system is set to before temperature adjustment.

8. The AI-based HVAC energy-saving control system according to claim 7, characterized in that: The analysis and judgment module can obtain the temperature information data of the internal environment of the building where the HVAC is located from the data acquisition module, and analyze the above acquired data, and then adjust the wind speed of the HVAC: in, The wind speed set after the HVAC is adjusted. is the collection time of information data, For buildings with HVAC, Seconds indoor ambient temperature, The temperature set after the HVAC is adjusted. The preset most comfortable temperature for human perception. is the total number of active personnel in the building where the HVAC is located, is the floor space of the building where the HVAC is located, is the standard density of pedestrian traffic in the preset building. The wind speed is set before the HVAC is adjusted. It is the control index of HVAC.

9. An AI-based HVAC energy-saving control method, characterized in that: The method is implemented based on an AI-based HVAC energy-saving control system according to any one of claims 1 to 8, and specifically comprises the following steps: S1. Use the AI ​​shooting unit to take photos of people entering the building where the HVAC is located, and perform AI recognition on the physical parameters and shooting parameters of the people; S2. In the process of energy-saving control of HVAC, the image, light intensity, temperature, heart rate and heat information data of personnel are collected in real time through the data collection unit; S3, transmitting and storing the collected information data, and performing real-time analysis on the information data to obtain analysis results; S4. When the analysis result is abnormal, an alarm is sent to the background terminal, and a control command signal is issued according to the analysis result to control the temperature and wind speed of the HVAC.

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