CN-122015260-A - Indoor environment coordination control system and method for personalized thermal comfort and building energy conservation

CN122015260ACN 122015260 ACN122015260 ACN 122015260ACN-122015260-A

Abstract

The invention discloses an indoor environment coordination control system and method for personalized thermal comfort and building energy conservation, wherein the indoor environment coordination control system comprises a physiological parameter acquisition module, an overall environment adjustment module and a local thermal comfort adjustment module. The physiological parameter acquisition module is used for non-invasively acquiring the temperature of a key area of the face of a human body by utilizing the infrared camera, and predicting the thermal sensation of the human body by combining the ambient temperature and humidity and a personal thermal comfort model. And the overall environment adjusting module adopts a fuzzy control algorithm to determine a temperature set point and a wind speed gear of the heating ventilation air conditioner according to the thermal sensation predicted value and the environmental parameter, and implements indoor overall environment adjustment. The local thermal comfort adjusting module adjusts the temperature and the speed of the air flow at the outlet of the personal thermal electric comfort device through a gear control algorithm, rapidly compensates the local environment and adjusts the personal thermal sensation to a comfort range. The invention realizes the coordination of the heating ventilation air conditioner and the personal thermal comfort device in space, time and target, and obviously reduces the energy consumption of building operation while guaranteeing personalized thermal comfort.

Inventors

XUE WENPING
HE XIAOTIAN
LI KANGJI
CHEN GUIBIN

Assignees

江苏大学

Dates

Publication Date: 20260512
Application Date: 20260410

Claims (10)

1. An indoor environment coordination control system for personalized thermal comfort and building energy conservation is characterized by comprising a physiological parameter acquisition module, an overall environment adjustment module and a local thermal comfort adjustment module; the physiological parameter acquisition module comprises a physiological/environment detection unit and a personal thermal sensation prediction unit; the whole environment adjusting module comprises a fuzzy control unit and an infrared communication unit; The local thermal comfort adjustment module comprises a personal thermoelectric comfort device and a coordination control unit; the system is configured to perform the steps of: in the physiological parameter acquisition module, the temperature of a key area of the face of a human body is obtained in a non-invasive way by utilizing an infrared camera in a physiological/environment detection unit, the temperature and humidity of the surrounding environment are sampled by utilizing a temperature and humidity sensor in the physiological/environment detection unit, and the human body thermal sensation is predicted by utilizing a personal thermal comfort model obtained through offline training in a personal thermal sensation prediction unit; in the integral environment adjusting module, according to a human body thermal sensation predicted value and an environment parameter sampling value, a fuzzy control unit obtains an air conditioner temperature set point and a wind speed gear by adopting a fuzzy control algorithm, and sends the air conditioner temperature set point and the wind speed gear to a heating ventilation air conditioner through an infrared communication unit to implement indoor integral environment adjustment; in the local thermal comfort adjusting module, the coordination control unit adjusts the temperature and the speed of the outlet airflow of the personal thermal comfort device by adopting a gear control algorithm, and adjusts the personal thermal sensation to be within a comfort range through local environment compensation.
2. The personalized thermal comfort and building energy saving indoor environment coordination control system according to claim 1, wherein the non-invasive acquisition of human face key area temperature comprises: collecting an infrared thermal imaging image of the face of the human body by using an infrared camera; Preprocessing the collected facial infrared thermal imaging image, wherein the preprocessing comprises denoising, temperature calibration and normalization; Automatically identifying and positioning cheek areas and nose areas in the face infrared image by using the trained face key feature area extraction model; corresponding temperature characteristic parameters are extracted from the located cheek and nose regions.
3. The indoor environment coordination control system for personalized thermal comfort and building energy conservation according to claim 1, wherein the personal thermal comfort model is obtained through offline training of the following steps: collecting cheek and nose area temperatures, indoor environment temperatures and relative humidity of a subject in different heat sensation states, synchronously recording subjective heat sensation level ballot values of the subject, and constructing a data set; Performing outlier processing on cheek and nose region temperature data in the dataset; Fusing the processed regional temperature data with environmental parameters to form a personal thermal sensation characteristic vector; and training a data-driven personal thermal comfort model by using the personal thermal characteristic vector and the corresponding subjective thermal grade ballot value.
4. The indoor environment coordination control system for personalized thermal comfort and building energy conservation according to claim 1, wherein the fuzzy control algorithm adopted by the fuzzy control unit comprises: Designing a decoupled temperature controller and an air speed controller which are respectively used for adjusting a temperature set point and an air speed gear of the heating ventilation air conditioner; Calculating the output of the temperature controller and the wind speed controller by using fuzzy reasoning and a rule base according to the deviation between the human body thermal sensation predicted value and the preset target value; And sending the calculated temperature set point and the calculated wind speed gear to a heating ventilation air conditioner through an infrared communication unit.
5. The indoor environment coordination control system for personalized thermal comfort and building energy conservation according to claim 4, wherein the input of the temperature controller comprises a thermal sensation predicted value, a deviation between a thermal sensation preset target value and a predicted value and an ambient temperature sampling value, and the output is an air conditioner temperature set point, and the input of the wind speed controller comprises a thermal sensation predicted value, a deviation between a thermal sensation preset target value and a predicted value and an ambient temperature change rate, and the output is an air conditioner wind speed gear.
6. The indoor environment coordination control system for personalized thermal comfort and building energy conservation according to claim 1, wherein the personal thermoelectric comfort device comprises an electrothermal conversion assembly, an air flow driving assembly and a flexible air flow distribution network for guiding the regulated air flow to a local sensitive part of a human body, and the temperature and the speed of the outlet air flow are changed by controlling the input voltages of the electrothermal conversion assembly and the air flow driving assembly.
7. The indoor environment coordination control system for personalized thermal comfort and building energy conservation according to claim 6, wherein the coordination control unit adopts a gear control algorithm comprising dividing an input voltage of the electrothermal conversion assembly into a plurality of gears, dividing the input voltage of the airflow driving assembly into a plurality of gears, and forming a plurality of gear combinations; The method comprises the steps of establishing a personal thermal sensation compensation model based on local environment adjustment through offline training, inputting the temperature, the relative humidity and gear combination numbers of the environment around the human body into the model, outputting the temperature and the relative humidity of the environment around the human body into local thermal sensation compensation values, obtaining the temperature and the relative humidity of the environment around the human body in real time based on a current air-conditioning temperature set point and a wind speed gear, predicting the local thermal sensation compensation values corresponding to all gear combinations by utilizing the personal thermal sensation compensation model, and selecting the gear combination closest to the thermal sensation expected value to adjust the input voltage of the electrothermal conversion assembly and the airflow driving assembly.
8. The indoor environment coordination control system for personalized thermal comfort and building energy conservation according to claim 7, wherein the personal thermal sensation compensation model is obtained through offline training of the following steps: when a person wearing the personal thermoelectric comfort device is collected, under different environmental parameters, the actual thermal sensation level ballot value of the human body corresponding to each gear combination is constructed to form an offline training data set; And training a personal thermal sensation compensation model based on local environment adjustment by utilizing the data set.
9. The indoor environment coordination control system for personalized thermal comfort and building energy conservation according to claim 1, wherein a control period of a fuzzy control algorithm in the overall environment adjustment module is larger than a control period of a gear control algorithm in the local thermal comfort adjustment module.
10. An indoor environment coordination control method implemented by the system according to any one of claims 1 to 9, comprising: The physiological parameter acquisition module is used for non-invasively acquiring the temperature of a key area of the face of the human body and the temperature and the humidity of the surrounding environment, and predicting the thermal sensation of the human body by using the personal thermal comfort model; The method comprises the steps that through an integral environment adjusting module, an air conditioner temperature set point and an air speed gear are obtained by adopting a fuzzy control algorithm according to a human body thermal sensation predicted value and an environment parameter sampling value, and the air conditioner temperature set point and the air speed gear are sent to a heating ventilation air conditioner to implement indoor integral environment adjustment; The temperature and the speed of the air flow at the outlet of the personal thermo-electric comfort device are regulated by a local thermo-comfort regulation module through a gear control algorithm, and the personal thermal sensation is regulated to be within a comfort range through local environment compensation.

Description

Indoor environment coordination control system and method for personalized thermal comfort and building energy conservation Technical Field The invention relates to the technical field of intelligent control and energy conservation of building environments, in particular to an indoor environment coordination control system and method for personalized thermal comfort and building energy conservation, which are suitable for cooperative adjustment of an indoor heating, ventilation and air conditioning system and a personal thermal comfort device of a building, ensure personalized thermal comfort and simultaneously effectively reduce building operation energy consumption. Background With the acceleration of the urban process, the energy consumption of building operation is continuously increased in the total social energy consumption, wherein the energy consumption of a heating ventilation air conditioning system is usually more than 50% of the energy consumption of the building. The existing heating ventilation air conditioning system generally adopts a control mode of 'one-cut' to perform unified and centralized regulation and control on the indoor environment. The regulation and control mode can maintain the whole thermal comfort level, but has the defects that on one hand, the indoor environment has obvious spatial distribution difference in aspects of personnel distribution, thermal load, airflow organization and the like, the spatial distribution difference and individual thermal comfort difference are difficult to cope with by centralized regulation and control, and on the other hand, in order to meet the thermal comfort requirement, the heating, ventilation and air conditioning are often arranged at a refrigerating set point with lower temperature or a heating set point with higher temperature, so that the energy consumption is increased. The local environment adjustment is only aimed at occupied local areas, so that the unoccupied space is kept in a relative energy-saving state, the individual thermal comfort level is improved, and the building operation energy consumption is reduced. However, the existing personal thermal comfort devices for adjusting local environments mostly adopt a switch control or fixed gear control mode, lack real-time sensing capability for human body thermal sensation, generally operate independently, do not form effective coordination with heating ventilation air conditioning control, and are difficult to play a role in the overall energy-saving level. Therefore, the coordinated control system of the heating ventilation air conditioner and the personal thermal comfort device, which can give consideration to personalized thermal comfort and building energy conservation, is developed, and has important practical significance and application value. Disclosure of Invention Aiming at the problems that the existing indoor environment control system for the building is high in centralized regulation and control energy consumption, and is difficult to consider individual thermal comfort difference, and the individual thermal comfort device and the heating ventilation air conditioning control lack effective coordination, the invention provides an indoor environment coordination control system for personalized thermal comfort and building energy conservation. The invention aims to guide heating ventilation air conditioning control through non-invasive personal thermal sensation prediction, introduce a personal thermoelectric comfort device to compensate heating ventilation air conditioning control errors, realize coordination control of the heating ventilation air conditioning and the thermal comfort device on space and time scale, and reduce building operation energy consumption on the premise of ensuring individual thermal comfort. In order to achieve the purpose, the indoor environment coordination control system for personalized thermal comfort and building energy conservation adopts the following technical scheme that the indoor environment coordination control system comprises a physiological parameter acquisition module, an overall environment adjustment module and a local thermal comfort adjustment module. The physiological parameter acquisition module comprises a physiological/environment detection unit and a personal thermal sensation prediction unit, the whole environment adjustment module comprises a fuzzy control unit and an infrared communication unit, and the local thermal comfort adjustment module comprises a personal thermoelectric comfort device and a coordination control unit. The system comprises a physiological parameter acquisition module, a local thermal comfort adjustment module, a coordination control unit, a personal thermal comfort adjustment module and a building operation energy consumption reduction module, wherein the physiological parameter acquisition module is used for acquiring the temperature of a key area of a human face by utilizing an infrared cam